diff --git a/.gitignore b/.gitignore index 8fcda76..b2d6de3 100644 --- a/.gitignore +++ b/.gitignore @@ -1,10 +1,3 @@ -public -.idea -dist -.vscode -*.iml - -# Docusaurus ignores # Dependencies /node_modules @@ -24,4 +17,4 @@ dist npm-debug.log* yarn-debug.log* -yarn-error.log* \ No newline at end of file +yarn-error.log* diff --git a/LICENSE b/LICENSE deleted file mode 100644 index 8143322..0000000 --- a/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2021 GraphQL Java - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..8960fa2 --- /dev/null +++ b/README.md @@ -0,0 +1,33 @@ +# Website + +This website is built using [Docusaurus 2](https://v2.docusaurus.io/), a modern static website generator. + +## Installation + +```console +yarn install +``` + +## Local Development + +```console +yarn start +``` + +This command starts a local development server and open up a browser window. Most changes are reflected live without having to restart the server. + +## Build + +```console +yarn build +``` + +This command generates static content into the `build` directory and can be served using any static contents hosting service. + +## Deployment + +```console +GIT_USER= USE_SSH=true yarn deploy +``` + +If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch. diff --git a/blog/2018-10-01-welcome-to-graphql-java.md b/blog/2018-10-01-welcome-to-graphql-java.md deleted file mode 100644 index 943975b..0000000 --- a/blog/2018-10-01-welcome-to-graphql-java.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: "Welcome to the new GraphQL Java homepage" -authors: andi -slug: welcome-to-graphql-java ---- - -Welcome to the new GraphQL Java Homepage: the central page about everything GraphQL Java. - -It is still a work in progress and we will continue improving this page over time. - -Cheers, - -Andi diff --git a/blog/2018-10-02-moving-projects.md b/blog/2018-10-02-moving-projects.md deleted file mode 100644 index 78d4129..0000000 --- a/blog/2018-10-02-moving-projects.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: "Moving projects out of the GraphQL Java org" -authors: andi -slug: moving-projects ---- - -Soon after I started started GraphQL Java (almost 3 1/2 years ago) other people started building libraries on top of it. I was happy to welcome them into the [GraphQL Java Github organization](https://github.com/graphql-java/), because it was great to see the GraphQL Java ecosystem grew and centralizing these projects into one org made sense. - -Fast forward to today: the core library [graphql-java](https://github.com/graphql-java/graphql-java) is maintained by myself and my co-maintainer Brad, but we are not involved in `graphql-spring-boot` and other projects. They are independently released and organized without any involvement from us. This leads to confusion from our users and makes it hard to recognize what actually the Graphql Java project is and what are libraries build on top without any involvement from Graphql Java. - -In order to clear up this confusion we have decided to move these projects or to archive them: - -- `graphql-spring-boot` is moved to https://github.com/graphql-java-kickstart/graphql-spring-boot -- `graphql-java-tools` is moved to https://github.com/graphql-java-kickstart/graphql-java-tools -- `graphql-java-servlet` is moved to https://github.com/graphql-java-kickstart/graphql-java-servlet -- `graphql-java-annotations` is moved to https://github.com/Enigmatis/graphql-java-annotations -- `graphql-java-type-generator` is archived and in read only mode: https://github.com/graphql-java/graphql-java-type-generator/ - -I wanna make clear that these projects are valuable and successful projects and moving them out of the GraphQL Java Github organization is done to reduce confusion as described above. - -Cheers, - -Andi diff --git a/blog/2018-10-10-spectrum-and-new-doc.md b/blog/2018-10-10-spectrum-and-new-doc.md deleted file mode 100644 index 90db7c7..0000000 --- a/blog/2018-10-10-spectrum-and-new-doc.md +++ /dev/null @@ -1,27 +0,0 @@ ---- -title: Moving to spectrum and new documentation home -authors: andi -slug: spectrum-and-new-doc ---- -:::info -Update: we now use GitHub Discussions on the [GitHub repository](https://github.com/graphql-java/graphql-java/discussions). -::: - -We have two exciting changes to announce: - -# New support channel at spectrum - -We are moving our support channel from [gitter](https://gitter.im/graphql-java/graphql-java) to [spectrum](https://spectrum.chat/graphql-java). Gitter served us well over the years, but with more and more people using GraphQL Java we are looking for better ways to support our community and we think spectrum is the right place to do that. Especially the Threads oriented view compared to one chat room is something we are looking forward to. - -Please ask new questions at https://spectrum.chat/graphql-java. We will stop answering questions in the gitter room and direct people to spectrum. The gitter room will be closed in a couple of weeks. - - -# New documentation home - -We are also moving our documentation from [readthedocs](https://graphql-java.readthedocs.io) to our own page at [graphql-java.com/documentation](https://www.graphql-java.com/documentation/). - -While the the new documentation is currently similar to the old one the layout is already an improvement and code examples are much easier readable than before. We are planning more improvements over time. - -Cheers, - -Andi diff --git a/blog/2018-10-20-breaking-changes-and-lts.md b/blog/2018-10-20-breaking-changes-and-lts.md deleted file mode 100644 index 1235fd6..0000000 --- a/blog/2018-10-20-breaking-changes-and-lts.md +++ /dev/null @@ -1,32 +0,0 @@ ---- -title: About breaking changes and Long-term support -authors: andi -slug: breaking-changes-and-lts ---- - -We are releasing new major versions of GraphQL Java roughly every 2 months. They are major versions because we break the API in it. We do it regularly and we prioritize clean code including good naming and design very high. Actually higher than API stability. - -We do that because we are optimizing for long-term growth: GraphQL Java is 3 1/2 years old and it is just getting started. This means more people will be positively affected from a better experience compared to the ones who need to refactor. - -We do it also because of resource constraints: we are an open source private run project with limited time and resources. We can’t afford maintaining a badly designed project in the long-term. Every bad design, every bad naming makes adding features and adopting to new requirements harder, more time consuming and more unlikely. We also want to make external contributions as easy as possible because we can’t do it all ourself. - -The last reason is personal and it is about fun. I don’t wanna maintain a badly designed project. I need to have fun if I wanna continue to invest a large amount of private time in GraphQL Java. - -Does that mean we just refactor as crazy and break everything all the time? No it doesn’t. We follow some rules about breaking changes: - -- We never take a functionality away. We deprecate things and make it clear that we don’t really support them anymore, but we don’t take them away without a clear alternative. - -- We try to favor simple breaking changes the compiler will catch. For example renaming a method is such a simple change. - -- We try to document in our release notes every breaking change clearly. - -- Even if we prioritize clean design higher than API stability in general we always weigh the benefits of the change vs the cost of adapting to it. There is no hard rule to that, but we always ask: is it worth it? - -But we understand that not every Organization allows for regular updating major versions of GraphQL Java. This is why we started to maintain a Long-term support (LTS) version of GraphQL Java: 9.x. We will continue to back port all bug fixes to 9.x for some time and we will announce when we will switch to a new LTS version. - -It is not clear yet how long this time span will be and it depends also on your feedback. **Please contribute to this [spectrum thread](https://spectrum.chat/thread/196ab67d-2770-4f3f-b1b3-b056ecb3a2e1) and let us know what suits you best.** If you have special needs and you don’t wanna discuss it in public you can also reach us via [contact form](https://www.graphql-java.com/contact/). - - -Cheers, - -Andi diff --git a/blog/2018-11-10-graphql-java-aims-to-be-used-directly.md b/blog/2018-11-10-graphql-java-aims-to-be-used-directly.md deleted file mode 100644 index feb2df5..0000000 --- a/blog/2018-11-10-graphql-java-aims-to-be-used-directly.md +++ /dev/null @@ -1,46 +0,0 @@ ---- -title: GraphQL Java aims to be used directly -authors: andi -slug: graphql-java-aims-to-be-used-directly ---- - -There seems to be a common misconception about GraphQL Java: that you should not use it directly, -but rather use another library build on top of it. - -We think it is important to make it clear, that this is not the case: GraphQL Java aims to be a library used directly -without any additionally abstraction on top. It was always build with this goal in mind. - -To be fair: we didn't do a very good job so far to make that clear. For example up -[until recently](https://www.graphql-java.com/blog/moving-projects/) we hosted several other projects which -provided abstractions on top of GraphQL Java. This was because of historical reasons and we didn't give any -guidance on when to use what. There are also currently more tutorials out there which don't use GraphQL Java directly -compared to tutorials which do. - -The other reason people might think that GraphQL Java is not suitable is because the [core project](https://github.com/graphql-java/graphql-java) -doesn't provide any easy way to get a full service with HTTP endpoint up and running. -And the existing third party projects providing for example Spring Boot support -are adding abstractions. - -The core project doesn't deal with any form of HTTP or JSON specific things and has on purpose basically no -dependencies at all. This will not change, but we recognize the need for having an easy way to get a -full service up and running. This is why we are currently working on first class Spring (Boot) support. - -:::info -Update: You can now use [Spring for GraphQL](https://docs.spring.io/spring-graphql/reference/), the official GraphQL integration. It's a collaboration between the Spring and GraphQL Java teams. See our [quick start tutorial](https://www.graphql-java.com/tutorials/getting-started-with-spring-boot/). -::: - -This is not done yet, but it will provide an easy way to integrate GraphQL Java in a Spring (Boot) application -without adding any abstraction on top of GraphQL Java. It will also be extended over time with more advanced features -like Apollo Defer support. - - -To recap: - -1. GraphQL Java aims to be a first class library used directly -1. The [GraphQL Java core project](https://github.com/graphql-java/graphql-java) doesn't deal with HTTP/JSON and will continue not do it -1. The [GraphQL Java Spring project](https://github.com/graphql-java/graphql-java-spring) will complement -the core project in providing comprehensive Spring (Boot) support - -Cheers, - -Andi diff --git a/blog/2018-11-24-introducing-extended-scalars.md b/blog/2018-11-24-introducing-extended-scalars.md deleted file mode 100644 index 8496a3a..0000000 --- a/blog/2018-11-24-introducing-extended-scalars.md +++ /dev/null @@ -1,32 +0,0 @@ ---- -title: Introducing graphql-java-extended-scalars -authors: brad -slug: introducing-extended-scalars ---- - -One of the most common questions we get in GraphQL Java land is "can we have a datetime scalar". - -This is not defined by the graphql specification per se so we are reluctant to add it to the core library and then have it turn -up later as an officially specified type. - -But it really is a badly needed type in your GraphQL arsenal and hence `graphql-java-extended-scalars` was born - -https://github.com/graphql-java/graphql-java-extended-scalars - -This will be a place where we can add non standard but useful extensions to GraphQL Java. - -The major scalars we have added on day one are - - * The aforementioned DateTime scalar as well as a Date and Time scalar - * A Object scalar or sometimes know as a JSON scalar that allows a map of values to be returned as a scalar value - * Some numeric scalars that constrain the values allowed such as `PositiveInt` - * A Regex scalar that allows a string to fit a regular expression - * A Url scalar that produces `java.net.URL` objects at runtime - * And finally an aliasing technique that allows you to create more meaningfully named scalar values - - We hope you find them useful. - - -Cheers, - -Brad diff --git a/blog/2018-12-01-graphq-java-spring-support.md b/blog/2018-12-01-graphq-java-spring-support.md deleted file mode 100644 index 576355f..0000000 --- a/blog/2018-12-01-graphq-java-spring-support.md +++ /dev/null @@ -1,26 +0,0 @@ ---- -title: First release of GraphQL Java Spring -authors: andi -slug: graphql-java-spring-support ---- -:::caution -**[Spring for GraphQL](https://spring.io/projects/spring-graphql) is the official and current Spring integration.** The integration is a collaboration between the Spring and GraphQL Java teams, and is maintained by the Spring team. - -[We recommend using Spring for GraphQL](https://www.graphql-java.com/blog/spring-for-graphql), rather than the older Spring project mentioned in this blog post. - -See our [Spring for GraphQL](https://www.graphql-java.com/tutorials/getting-started-with-spring-boot) tutorial for how to get started. -::: - -We are happy to release the first version of the GraphQL Java Spring (Boot) project. - -As [described before](https://www.graphql-java.com/blog/graphql-java-aims-to-be-used-directly/) this project -complements the GraphQL Java core project if you build a fully operational GraphQL server with Spring. - -Currently it supports GET and POST requests and allows for some basic customization. - -In future we are looking into supporting more advanced features like file upload or subscriptions. - -As always contributions are more than welcome and we are hoping to grow this project together with the -community: please open a [new issue](https://github.com/graphql-java/graphql-java-spring/issues/new) or leave a comment on [spectrum chat](https://spectrum.chat/graphql-java) about your wishes. - -More details on how to use it can be found on the github page: https://github.com/graphql-java/graphql-java-spring diff --git a/blog/2019-01-22-deep-dive-merged-fields.md b/blog/2019-01-22-deep-dive-merged-fields.md deleted file mode 100644 index ff6d59b..0000000 --- a/blog/2019-01-22-deep-dive-merged-fields.md +++ /dev/null @@ -1,215 +0,0 @@ ---- -title: GraphQL Deep Dive Part 1 - merged fields -authors: andi -slug: deep-dive-merged-fields ---- - -# GraphQL Deep Dive series - -Welcome to the new series "GraphQL deep dive" where we will explore advanced or unknown GraphQL topics. The plan is to discuss things mostly in a language and implementation neutral way, even if it is hosted on graphql-java.com. - -# Merged Fields - -First thing we are looking at is "merged fields". - -GraphQL allows for a field to be declared multiple times in a query as long as it can be merged. - -Valid GraphQL queries are: - -```graphql -{ - foo - foo -} -``` - -```graphql -{ - foo(id: "123") - foo(id: "123") - foo(id: "123") -} -``` - -```graphql -{ - foo(id: "123") { - id - } - foo(id: "123") { - name - } - foo(id: "123") { - id - name - } -} -``` - -Each of these queries will result in a result with just one "foo" key, not two or three. - -Invalid Queries are: - -```graphql -{ - foo - foo(id: "123") -} -``` - -```graphql -{ - foo(id: "123") - foo(id: "456", id2: "123") -} -``` - -```graphql -{ - foo(id: "123") - foo: foo2 -} -``` - -The reason why they are not valid, is because the fields are different: in the first two examples the arguments differ and the third query actually has two different fields under the same key. - -# Motivation - -The examples so far don't seem really useful, but it all makes sense when you add fragments: - -```graphql -{ - ...myFragment1 - ...myFragment2 -} - -fragment myFragment1 on Query { - foo(id: "123") { - name - } -} -fragment myFragment2 on Query { - foo(id: "123") { - url - } -} - -``` - -Fragments are designed to be written by different parties (for example different components in a UI) which should not know anything about each other. Requiring that every field can only be declared once would make this objective unfeasible. - -But by allowing fields merging, as long as the fields are the same, allows fragments to be authored in an independent way from each other. - - -# Rules when fields can be merged - -The specific details when fields can be merged are written down in [Field Selection Merging](https://facebook.github.io/graphql/draft/#sec-Field-Selection-Merging) in the spec. - -The rules are what you would expect in general and they basically say that fields must be the same. The following examples are taken from the spec and they are all valid: - -```graphql -fragment mergeIdenticalFields on Dog { - name - name -} -fragment mergeIdenticalAliasesAndFields on Dog { - otherName: name - otherName: name -} -fragment mergeIdenticalFieldsWithIdenticalArgs on Dog { - doesKnowCommand(dogCommand: SIT) - doesKnowCommand(dogCommand: SIT) -} -fragment mergeIdenticalFieldsWithIdenticalValues on Dog { - doesKnowCommand(dogCommand: $dogCommand) - doesKnowCommand(dogCommand: $dogCommand) -} -``` - -The most complex case happens when you have fields in fragments on different types: - -```graphql -fragment safeDifferingFields on Pet { - ... on Dog { - volume: barkVolume - } - ... on Cat { - volume: meowVolume - } -} -``` - -This is normally invalid because `volume` is an alias for two different fields `barkVolume` and `meowVolume` but because only one of the some are actually resolved and they both return a value of the same type (we assume here that `barkVolume` and `meowVolume` are both of the same type) it is valid. - -```graphql -fragment safeDifferingArgs on Pet { - ... on Dog { - doesKnowCommand(dogCommand: SIT) - } - ... on Cat { - doesKnowCommand(catCommand: JUMP) - } -} -``` - -This is again a valid case because even if the first `doesKnowCommand` has a different argument than the second `doesKnowCommand` only one of them is actually resolved. - -In the next example `someValue` has different types (we assume that `nickname` is a `String` and `meowVolume` is a `Int`) and therefore the query is not valid: - -```graphql -fragment conflictingDifferingResponses on Pet { - ... on Dog { - someValue: nickname - } - ... on Cat { - someValue: meowVolume - } -} -``` - -# Sub selections and directives - -One thing to keep in my mind is that the sub selections of fields are merged together. For example here `foo` is resolved once and than `id` and `name` is resolved. - -```graphql -{ - foo(id: "123") { - id - } - foo(id: "123") { - name - } -} -``` - -This query is the same as: - -```graphql -{ - foo(id: "123") { - id - name - } -} -``` - -The second thing to keep in mind is that different directives can be on each field: - -```graphql -{ - foo(id: "123") @myDirective { - id - } - foo(id: "123") @myOtherDirective { - name - } -} -``` - -So if you want to know all directives for the current field you are resolving you actually need to look at all of the merged fields from the query. - -# Merged fields in graphql-js and GraphQL Java - -In graphql-js merged fields are relevant when you implement a resolver and you need access to the specific ast field of the query. The `info` objects has a property `fieldNodes` which gives you access to all ast fields which are merged together. - -In GraphQL Java depending on the version you are running you have `List getFields()` in the `DataFetcherEnvironment` or for GraphQL Java newer than `12.0` you have also `MergedField getMergedField()` which is the recommend way to access all merged fields. diff --git a/blog/2019-04-11-deep-dive-data-fetcher-results.md b/blog/2019-04-11-deep-dive-data-fetcher-results.md deleted file mode 100644 index bcd85d3..0000000 --- a/blog/2019-04-11-deep-dive-data-fetcher-results.md +++ /dev/null @@ -1,159 +0,0 @@ ---- -title: Building efficient data fetchers by looking ahead -authors: brad -slug: deep-dive-data-fetcher-results ---- - -# Efficient data fetchers - -Today we are looking into the `graphql.schema.DataFetchingFieldSelectionSet` and `graphql.execution.DataFetcherResult` objects as means -to build efficient data fetchers. - -# The scenario - -But first lets set the scene. Imagine we have a system that can return `issues` and the `comments` on those `issues` - -```graphql -{ - issues { - key - summary - comments { - text - } - } -} -``` - -Nominally we would have a `graphql.schema.DataFetcher` on `issues` that returns a list of issues and one on the field `comments` that returns the list of comments -for each issue `source` object. - -As you can see this naively creates an *N+1 problem* where we need to fetch data multiple times, one for each `issue` object in isolation. - -We could attack this using the `org.dataloader.DataLoader` pattern but there is another way which will discuss in this article. - -# Look ahead via DataFetchingFieldSelectionSet - -The data fetcher behind the `issues` field is able to look ahead and see what sub fields are being asked for. In this case it knows that `comments` are being asked -for and hence it could prefetch them at the same time. - -`graphql.schema.DataFetchingEnvironment#getSelectionSet` (aka `graphql.schema.DataFetchingFieldSelectionSet`) can be used by data fetcher code to get the selection set of fields for a given parent field. - -```java -DataFetcher issueDataFetcher = environment -> { - DataFetchingFieldSelectionSet selectionSet = environment.getSelectionSet(); - if (selectionSet.contains("comments")) { - List data = getAllIssuesWithComments(environment, selectionSet.getFields()); - return data; - } else { - List issues = getAllIssuesWitNoComments(environment); - return issues; - } -}; -``` - -Imagine this is backed by an SQL system we might be able to use this field look ahead to produce the following SQL - -```sql -SELECT Issues.Key, Issues.Summary, Comments.Text -FROM Issues -INNER JOIN Comments ON Issues.CommentID=Comments.ID; -``` - -So we have looked ahead and returned different data depending on the field sub selection. We have made our system more efficient by using look ahead -to fetch data just the `1` time and not `N+1` times. - -# Code Challenges - -The challenge with this code design is that the shapes of the returned data is now field sub selection specific. We needed a `IssueAndCommentsDTO` for one sub selection -path and a simpler `IssueDTO` for another path. - -With enough paths this becomes problematic as it adds new DTO classes per path and makes out child data fetchers more complex - -Also the standard graphql pattern is that the returned object becomes the `source` ie. `graphql.schema.DataFetchingEnvironment#getSource` of the next child -data fetcher. But we might have pre fetched data that is needed 2 levels deep and this is challenging to do since each data fetcher would need to capture and copy -that data down to the layers below via new TDOs classes per level. - - -# Passing Data and Local Context - -GraphQL Java offers a capability that helps with this pattern. GraphQL Java goes beyond what the reference graphql-js system gives you where the object you -returned is automatically the `source` of the next child fetcher and that's all it can be. - -In GraphQL Java you can use well known `graphql.execution.DataFetcherResult` to return three sets of values - -* `data` - which will be used as the source on the next set of sub fields -* `errors` - allowing you to return data as well as errors -* `localContext` - which allows you to pass down field specific context - -When the engine sees the `graphql.execution.DataFetcherResult` object, it automatically unpacks it and handles it three classes of data in specific ways. - -In our example case we will be use `data` and `localContext` to communicate between fields easily. - -```java -DataFetcher issueDataFetcher = environment -> { - DataFetchingFieldSelectionSet selectionSet = environment.getSelectionSet(); - if (selectionSet.contains("comments")) { - List data = getAllIssuesWithComments(environment, selectionSet.getFields()); - - List issues = data.stream().map(dto -> dto.getIssue()).collect(toList()); - - Map> preFetchedComments = mkMapOfComments(data); - - return DataFetcherResult.newResult() - .data(issues) - .localContext(preFetchedComments) - .build(); - } else { - List issues = getAllIssuesWitNoComments(environment); - return DataFetcherResult.newResult() - .data(issues) - .build(); - } -}; -``` - -If you look now you will see that our data fetcher returns a `DataFetcherResult` object that contains `data` for the child data fetchers which is the -list of `issueDTO` objects as per usual. It will be their `source` object when they run. - -It also passes down field specific `localContext` which is the pre-fetched comment data. - -Unlike the global context object, local context objects are passed down from a specific field to its children and are not shared across to peer fields. This means -a parent field has a "back channel" to talk to the child fields without having to "pollute" the DTO source objects with that information and it is "local" in the sense -that it given only to this field and its children and not any other field in the query. - -Now lets look at the `comments` data fetcher and how it consumes this back channel of data - -```java -DataFetcher commentsDataFetcher = environment -> { - IssueDTO issueDTO = environment.getSource(); - Map> preFetchedComments = environment.getLocalContext(); - List commentDTOS = preFetchedComments.get(issueDTO); - return DataFetcherResult.newResult() - .data(commentDTOS) - .localContext(preFetchedComments) - .build(); -}; -``` - -Notice how it got the `issueDTO` as its source object as expected but it also got a local context object which is our pre-fetched comments. It can choose -to pass on new local context OR if it passes nothing then the previous value will bubble down to the next lot of child fields. So you can think of `localContext` -as being inherited unless a fields data fetcher explicitly overrides it. - -Our data fetcher is a bit more complex because of the data pre-fetching but 'localContext' allows us a nice back channel to pass data without modifying our DTO objects -that are being used in more simple data fetchers. - -# Passing back Errors or Data or Both - -For completeness we will show you that you can also pass down errors or data or local context or all of them at once. - -It is perfectly valid to fetch data in graphql and to ALSO send back errors. Its not common but its valid. Some data is better than no data. - -```java -GraphQLError error = mkSpecialError("Its Tuesday"); - -return DataFetcherResult.newResult() - .data(commentDTOS) - .error(error) - .build(); -``` diff --git a/blog/2019-05-28-hola.md b/blog/2019-05-28-hola.md new file mode 100644 index 0000000..4adbc32 --- /dev/null +++ b/blog/2019-05-28-hola.md @@ -0,0 +1,11 @@ +--- +slug: hola +title: Hola +author: Gao Wei +author_title: Docusaurus Core Team +author_url: https://github.com/wgao19 +author_image_url: https://avatars1.githubusercontent.com/u/2055384?v=4 +tags: [hola, docusaurus] +--- + +Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet diff --git a/blog/2019-05-29-hello-world.md b/blog/2019-05-29-hello-world.md new file mode 100644 index 0000000..151671f --- /dev/null +++ b/blog/2019-05-29-hello-world.md @@ -0,0 +1,17 @@ +--- +slug: hello-world +title: Hello +author: Endilie Yacop Sucipto +author_title: Maintainer of Docusaurus +author_url: https://github.com/endiliey +author_image_url: https://avatars1.githubusercontent.com/u/17883920?s=460&v=4 +tags: [hello, docusaurus] +--- + +Welcome to this blog. This blog is created with [**Docusaurus 2 alpha**](https://v2.docusaurus.io/). + + + +This is a test post. + +A whole bunch of other information. diff --git a/blog/2019-05-30-welcome.md b/blog/2019-05-30-welcome.md new file mode 100644 index 0000000..d35d57b --- /dev/null +++ b/blog/2019-05-30-welcome.md @@ -0,0 +1,13 @@ +--- +slug: welcome +title: Welcome +author: Yangshun Tay +author_title: Front End Engineer @ Facebook +author_url: https://github.com/yangshun +author_image_url: https://avatars0.githubusercontent.com/u/1315101?s=400&v=4 +tags: [facebook, hello, docusaurus] +--- + +Blog features are powered by the blog plugin. Simply add files to the `blog` directory. It supports tags as well! + +Delete the whole directory if you don't want the blog features. As simple as that! diff --git a/blog/2021-02-05-threads.md b/blog/2021-02-05-threads.md deleted file mode 100644 index 57a11ac..0000000 --- a/blog/2021-02-05-threads.md +++ /dev/null @@ -1,122 +0,0 @@ ---- -title: "GraphQL Java and Threads" -authors: andi -slug: threads ---- -# GraphQL Java and Threads - -We follow a fundamental rule in GraphQL Java regarding Threads: GraphQL Java never creates -Threads or interacts with Thread pools. We do this because we want to give the user the full control -and whatever GraphQL Java would do, it would not be correct for every use case. - -Additionally to being strictly unopinionated regarding Threads, GraphQL Java is also fully reactive, -implemented via `CompletableFuture` (`CF`). -These two constrain together mean we rely on the `CF` returned by the user. -Specifically we piggyback on the `CF` returned by the `DataFetcher` -(or other async methods which can be implemented by the user, but we focus here on `DataFetcher` -as it is by far the most important). - - -```java -// Pseudo code in GraphQL Java - -CompletableFuture dataFetcherResult = invokeDataFetcher(); -dataFetcherResult.thenApply(result -> { - // in which Thread where this code happens is controlled by the CF returned - continueExecutingQuery(result); -}); -``` - -# Blocking DataFetcher - -Lets assume you are accessing a DB in a blocking way in your `DataFetcher`: - -```java -String get(DataFetchingEnvironment env) { - return getValueFromDb(env); // blocking the Thread until the value is read from DB -}; -``` - -This is not completely wrong, but not recommend in general as the consequence of this kind of `DataFecher` -is that GraphQL can't execute the query in the most efficient way. - -For example for the following query: - -```graphql -{ - dbData1 - dbData2 - dbData3 -} -``` - -If the `DataFetcher` for these `dbData` fields don't return a `CF`, -but block the Thread until the data is read, GraphQL Java will not work with maximum efficiency. - -GraphQL Java can invoke the `DataFetcher` for all three fields in parallel. But if your `DataFetcher` for -`dbData1` is blocking, GraphQL Java will also be blocked and only invoke the next `DataFetcher` once `dbData` -is finished. -The recommend solution to this problem is offloading your blocking code onto a separate Thread pool -as shown here: - -```java -CompletableFuture get(DataFetchingEnvironment env) { - return CompletableFuture.supplyAsync( getValueFromDb(env), dbThreadPool ); -}; -``` - -This code will maximize the performance and will cause all three fields to be fetched in parallel. - -# Different pools for different work - -The subsequent work done by GraphQL Java will be executed in the same `dbThreadPool` until it -encounters a new `DataFetcher` returned by the user code and this new `CF` dedicates the Thread -for the subsequent work. - -If you want to have separate pools for different kind of work, one for the actual `DataFetcher` which normally -involve IO and one of the actual GraphQL Java work (which is pure CPU), you need to switch back from your offloaded -pool to a dedicated GraphQL Java pool before returning the `CF`. You can achieve this with code like this: - -```java -CompletableFuture get(DataFetchingEnvironment env) { - return CompletableFuture.supplyAsync( getValueFromDb(env), dbThreadPool ) - .handleAsync((result,exception) -> { - if(exception !=null) throw exception; - return result; - }, graphqlJavaPool); -}; -``` - -Notice the `.handleAsync` which doesn't do anything except forwarding the result, but on a -different pool (`graphqlJavaPool`). - -This way you have different pools for different kind of work (one for CPU bound GraphQL Java work and one -for multiple ones for IO bound work), which can be configured and monitored independently. - -# In a fully reactive system -If your system is fully reactive your `DataFetcher` will more look like this - -```java -CompletableFuture get(DataFetchingEnvironment env) { - return callAnotherServiceNonBlocking(env); // returns CompletableFuture -}; -``` - -The code above could be implemented via [Async Http Client](https://github.com/AsyncHttpClient/async-http-client) -or [WebFlux WebClient](https://docs.spring.io/spring-framework/docs/current/reference/html/web-reactive.html#webflux-client). -Both provide fully reactive HTTP clients. - -Because the code is non blocking there is no need to offload anything on a dedicated Thread pool to avoid blocking -GraphQL Java. - -You still might want to consider using a dedicated GraphQL Java pool as you otherwise would use -Threads which are dedicated to IO. How much this is really relevant depends highly on your use case. - -For example `Async Http Client` (`AHC`) uses by default 2 * #cores (this value comes actually from Netty) Threads. If you -don't use a dedicated Thread Pool for GraphQL Java you might encounter situations under load where all `AHC` -Threads are either busy or blocked by GraphQL Java code and as a result your system is not as performant as it -could be. Normally only load tests in production like environments can show the relevance of different Thread pools. - - -# Feedback or questions -We use [GitHub Discussions](https://github.com/graphql-java/graphql-java/discussions) for general feedback and questions. diff --git a/blog/2021-02-12-spec-releases-are-not-important.md b/blog/2021-02-12-spec-releases-are-not-important.md deleted file mode 100644 index c0595c1..0000000 --- a/blog/2021-02-12-spec-releases-are-not-important.md +++ /dev/null @@ -1,52 +0,0 @@ ---- -title: "GraphQL spec releases are not important" -authors: andi -slug: spec-releases-are-not-important ---- - -Every once in a while somebody asks which version of the [GraphQL spec](https://github.com/graphql/graphql-spec) -GraphQL Java supports. The general answer is: the current draft. - -The bigger question behind this is: what is the information you want get out of this question? -Why do you ask this question? - -The thing is: spec releases are not really important and people misinterpret what they mean. - -# Evolution of the spec process - -The GraphQL spec has five releases so far: - -- two in 2015 (including the first published version) -- two in 2016 -- one in 2018 - -As you can see in the first two years spec releases where quite frequently, but after the one in 2018, -there has not been a release. - -2017 was also the year the [GraphQL Working Group](https://github.com/graphql/graphql-wg) was established. -This group is the main forum to evolve the spec since then. Over time this group established a very high bar -for every PR to be merged into the spec. (See the [Contributing guidelines](https://github.com/graphql/graphql-spec/blob/main/CONTRIBUTING.md)) - -With this high standard set, nearly all implementations (including GraphQL Java) started to implement every -merged PR instead of waiting for a big release. Because they are very confident this change will be released -in this form, it is safe to implement it right away. - -This treatment of merged PRs as de-factor releases is now an established rule in the GraphQL community. -This explains why the whole GraphQL ecosystem has evolved a lot since 2018, even without a release. - -__A release is not needed anymore if every merged PR is like a mini release.__ - -Future releases are more like an -[opportunity to look back and promote the work since the last release.](https://github.com/graphql/graphql-wg/blob/main/notes/2021-02-04.md#promoting-and-documenting-spec-release-5m-brian) - -I personally hope that we make this de-facto rule, that evey PR is a mini release, more official. -We should not use the word "draft" any more, but every merged PR should automatically result in a -new GraphQL spec version which is formally approved by the [GraphQL TSC.](https://github.com/graphql/graphql-wg/blob/main/GraphQL-TSC.md) - -Coming back to the question: "Which spec version of GraphQL is supported"? -I hope by now it is clear why this question is probably not really helpful. - -It is better to think about certain features you want to discuss instead referring to the spec releases. - -# Feedback or questions -We use [GitHub Discussions](https://github.com/graphql-java/graphql-java/discussions) for general feedback and questions. diff --git a/blog/2021-08-03-17-released-and-lts.md b/blog/2021-08-03-17-released-and-lts.md deleted file mode 100644 index 2d1d837..0000000 --- a/blog/2021-08-03-17-released-and-lts.md +++ /dev/null @@ -1,21 +0,0 @@ ---- -title: "GraphQL Java 17 released and an update about LTS" -authors: andi -slug: 17-released-and-lts ---- - -We are happy to announce the availability of GraphQL Java 17.0. -See [17.0 release notes](https://github.com/graphql-java/graphql-java/releases/tag/v17.0) for all the details. - -At the same time we wanted to give an update regarding our LTS (Long Term Support) policy. -Previously we maintained a LTS version of 9.x and after quite some time we announced 14.x as the next LTS. - -The reality is that we didn't maintain 14.x really as a LTS version (we only released one bugfix release). -This was mainly caused by the minimal community feedback and our limited time and resources. - -Going forward we decided to no offer any LTS versions anymore. We will only actively maintain and bugfix -the latest version (currently 17). We may backport critical bugfixes, but we are not committed to it. - -If this is a huge problem for you or your Company and you are willing to help us with maintaining a LTS -version you can reach us via email at -hello at graphql-java dot com. diff --git a/blog/2022-09-20-spring-for-graphql-naming.md b/blog/2022-09-20-spring-for-graphql-naming.md deleted file mode 100644 index 8d98ea4..0000000 --- a/blog/2022-09-20-spring-for-graphql-naming.md +++ /dev/null @@ -1,15 +0,0 @@ ---- -title: "Spring for GraphQL is the recommended Spring integration" -authors: donna -slug: spring-for-graphql ---- - -If you are building a GraphQL application with Spring, we recommend using the official [Spring for GraphQL](https://spring.io/projects/spring-graphql) integration. This integration is a collaboration between the Spring and GraphQL Java teams, and is maintained by the Spring team. In May 2022, Spring for GraphQL 1.0 GA was [released](https://spring.io/blog/2022/05/19/spring-for-graphql-1-0-release). - -Use [Spring Initializr](https://start.spring.io/) to create a GraphQL application. For a quick tutorial, please see our [Spring for GraphQL tutorial](https://www.graphql-java.com/tutorials/getting-started-with-spring-boot). - -See also the Spring for GraphQL [documentation](https://docs.spring.io/spring-graphql/docs/current/reference/html/) and the repo on [GitHub](https://github.com/spring-projects/spring-graphql). - -Before the official Spring for GraphQL integration was released, there were many other GraphQL integrations for Spring, including the similarly named [GraphQL Java Spring](https://github.com/graphql-java-kickstart/graphql-spring-boot) project from the GraphQL Java team, published under the `com.graphql-java` and `com.graphql-java-kickstart` group IDs. Many tutorials are still referring to this unrelated project. - -Please use the official integration named **"Spring for GraphQL"**, published under `org.springframework` and related group IDs. diff --git a/blog/2022-12-07-version-20-released.md b/blog/2022-12-07-version-20-released.md deleted file mode 100644 index 126001b..0000000 --- a/blog/2022-12-07-version-20-released.md +++ /dev/null @@ -1,15 +0,0 @@ ---- -title: "Version 20 released" -authors: donna -slug: version-20-released ---- - -We are pleased to announce the release of graphql-java 20.0! - -Special thanks to each of the 200+ contributors over the years, who have made this milestone possible. - -We've added support for record-like property fetching, added performance improvements for `PropertyDataFetcher` and reduced object allocation. - -Version 20 also introduces internationalization (i18n) for validation, parsing, and scalar coercion [error messages](https://github.com/graphql-java/graphql-java/tree/master/src/main/resources/i18n). We have added German translations, and we would love to see more languages. If you would like to contribute, please open a pull request. - -See the full release notes on [GitHub](https://github.com/graphql-java/graphql-java/releases/tag/v20.0). \ No newline at end of file diff --git a/blog/2022-12-14-java-11.md b/blog/2022-12-14-java-11.md deleted file mode 100644 index 325a854..0000000 --- a/blog/2022-12-14-java-11.md +++ /dev/null @@ -1,18 +0,0 @@ ---- -title: "GraphQL Java will require Java 11" -authors: andi -slug: java-11-required ---- - -GraphQL Java will require Java 11 as a minimum Java version, starting from version 21. - -With Java 8 being released over 8 years ago and Java 17 more than one year ago, we think now is the -right time to upgrade the minimum Java version GraphQL Java is developed against. - -This means starting with version 21 you need to use at least Java 11 to run GraphQL Java. - -Depending on the feedback we get, we plan to release bugfix releases for version 20 for some time, but no longer -than until end of 2023. - -Please discuss and leave feedback [here](https://github.com/graphql-java/graphql-java/discussions/3052) - diff --git a/blog/2023-03-21-release-policy.md b/blog/2023-03-21-release-policy.md deleted file mode 100644 index fb286c2..0000000 --- a/blog/2023-03-21-release-policy.md +++ /dev/null @@ -1,32 +0,0 @@ ---- -title: "GraphQL Java release policy" -authors: donna -slug: release-policy ---- - -We’re formalising our release schedule to give the community a better idea of when to expect releases, what will be contained within them, and when important fixes will be backported. - -## General release schedule -:::caution -Since this blog post was published, we changed our release schedule from 4 times to 3 times per year. -::: -Going forward, we plan to have 3 releases every year. We will alternate between releases containing breaking changes, and releases containing features and bugfixes (without breaking changes). - -For example: our next release 20.1 will be in late March 2023, and this will be a feature and bugfix release without breaking changes. Therefore, we’re going to retain Java 8 in the 20.1 release. Our subsequent release will be around early July 2023 and will contain breaking changes, including upgrading to Java 11. - -## Security backports -We will backport critical bugfixes and security fixes for versions dating back 18 months. These fixes will be backported depending on severity and demand. As security fixes are time sensitive, we will release them on demand instead of waiting for the next release date. - -## Bugfix backports -We will backport important bug fixes at most 12 months. These fixes will be backported depending on the severity of the bug and demand. - -## Deprecations -When code is deprecated, we will wait at least 12 months before removing it. - -## Version numbering -We will continue to use `major.minor` version numbering. - -A minor version can include bug fixes and features, but not breaking changes. A major version can include breaking changes. - -## Allowing for policy changes -The aim of this release policy to give the community a better indication of release dates, what is contained in releases, and when fixes will be backported. However, we may make a pragmatic decision to diverge from this policy when required. For example, a major and urgent breaking change could result in two breaking change releases in a row. If we diverge from this release policy, we’ll make it clear in the release notes. diff --git a/blog/2023-07-11-v21-released.md b/blog/2023-07-11-v21-released.md deleted file mode 100644 index e977e3e..0000000 --- a/blog/2023-07-11-v21-released.md +++ /dev/null @@ -1,11 +0,0 @@ ---- -title: "Version 21 released" -authors: donna -slug: v21-released ---- - -We are pleased to announce the release of graphql-java v21.0! Thanks to everyone in the community who contributed to the release, whether that was code, helping to report issues, or participating in discussions. - -And a very Happy 8th Birthday to graphql-java, who celebrated their birthday last week! - -This is a **breaking change** release, including upgrading to Java 11 and changes to `parseValue` coercion. See the full release notes on [GitHub](https://github.com/graphql-java/graphql-java/releases/tag/v21.0). diff --git a/blog/2024-04-18-v22-released.md b/blog/2024-04-18-v22-released.md deleted file mode 100644 index d23c1e7..0000000 --- a/blog/2024-04-18-v22-released.md +++ /dev/null @@ -1,11 +0,0 @@ ---- -title: "Version 22 released" -authors: donna -slug: v22-released ---- - -We are thrilled to announce the release of graphql-java v22.0! Thanks to everyone in the community who contributed to the release, whether that was code, helping to report issues, or participating in discussions. - -This is a **breaking change** release, which includes major performance improvements. This release also introduces the `@defer` directive, which enables data to be received incrementally, rather than waiting until all data is resolved. This can reduce an application's time-to-interactive. See more on the `@defer` draft specification on the [GraphQL Working Group's GitHub repo](https://github.com/graphql/graphql-wg/blob/main/rfcs/DeferStream.md). - -For the full details, please see the release notes on [GitHub](https://github.com/graphql-java/graphql-java/releases/tag/v22.0). diff --git a/blog/2024-12-06-performance-testing.md b/blog/2024-12-06-performance-testing.md deleted file mode 100644 index 3c3e14b..0000000 --- a/blog/2024-12-06-performance-testing.md +++ /dev/null @@ -1,34 +0,0 @@ ---- -title: "Automated performance testing for GraphQL Java" -authors: andi -slug: performance ---- - -GraphQL Java has become a mature and widely adopted library over the past 9.5 years. -And while we continue to maintain, improve and add features, we don't expect revolutionary changes to the core of the library. - -As side effect of this maturity it became clear over the least years, that performance is a key aspect that users are interested in. -Especially in larger scale applications performance can have a huge impact on operational costs and user experience. - -In GraphQL Java we leverage [JMH aka Java Microbenchmark Harness](https://github.com/openjdk/jmh) to measure and compare different performance aspects. - -Historically, performance testing was done manually by running JMH benchmarks on a local machine. - -This comes with the obvious flaw that it's not reproducible over time and across different machines. A benchmark run on one developer's machine is not -comparable to a run on another developer's machine (or often even the same machine months later). - -We are very happy to share that we have now an automated performance testing setup in place to overcome these limitations by running -the benchmarks in an isolated cloud environment. - -Currently, it runs on every commit to the `master` branch and the results are stored in the -[performance results folder](https://github.com/graphql-java/graphql-java/tree/master/performance-results). -You can visualize and compare results with the [JMH Visualizer tool](https://jmh.morethan.io/), a free tool which runs in the browser. -Our goal is to provide clear and reproducible performance improvements over time while preventing any regressions. - -This work is sponsored and made possible by [Atlassian](https://www.atlassian.com/) and we are very grateful for their support. - - - - - - diff --git a/blog/2024-12-07-cve-numbering-authority.md b/blog/2024-12-07-cve-numbering-authority.md deleted file mode 100644 index 4084666..0000000 --- a/blog/2024-12-07-cve-numbering-authority.md +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: "GraphQL Java is a CVE Numbering Authority" -authors: donna -slug: cna ---- - -We are please to announce GraphQL Java is now the CVE Numbering Authority (CNA) for GraphQL Java, Java DataLoader, GraphQL Java Extended Scalars, and GraphQL Java Extended Validation. - -See the CVE.org press release: https://www.cve.org/Media/News/item/news/2024/12/03/GraphQL-Java-Added-as-CNA diff --git a/blog/authors.yml b/blog/authors.yml deleted file mode 100644 index 454b66f..0000000 --- a/blog/authors.yml +++ /dev/null @@ -1,17 +0,0 @@ -andi: - name: Andreas Marek - title: Maintainer of GraphQL Java - url: https://github.com/andimarek - image_url: https://github.com/andimarek.png - -brad: - name: Brad Baker - title: Maintainer of GraphQL Java - url: https://github.com/bbakerman - image_url: https://github.com/bbakerman.png - -donna: - name: Donna Zhou - title: Maintainer of GraphQL Java - url: https://github.com/dondonz - image_url: https://github.com/dondonz.png diff --git a/docs/doc1.md b/docs/doc1.md new file mode 100644 index 0000000..28286ec --- /dev/null +++ b/docs/doc1.md @@ -0,0 +1,203 @@ +--- +id: doc1 +title: Style Guide +sidebar_label: Style Guide +slug: / +--- + +You can write content using [GitHub-flavored Markdown syntax](https://github.github.com/gfm/). + +## Markdown Syntax + +To serve as an example page when styling markdown based Docusaurus sites. + +## Headers + +# H1 - Create the best documentation + +## H2 - Create the best documentation + +### H3 - Create the best documentation + +#### H4 - Create the best documentation + +##### H5 - Create the best documentation + +###### H6 - Create the best documentation + +--- + +## Emphasis + +Emphasis, aka italics, with *asterisks* or _underscores_. + +Strong emphasis, aka bold, with **asterisks** or __underscores__. + +Combined emphasis with **asterisks and _underscores_**. + +Strikethrough uses two tildes. ~~Scratch this.~~ + +--- + +## Lists + +1. First ordered list item +1. Another item + - Unordered sub-list. +1. Actual numbers don't matter, just that it's a number + 1. Ordered sub-list +1. And another item. + +* Unordered list can use asterisks + +- Or minuses + ++ Or pluses + +--- + +## Links + +[I'm an inline-style link](https://www.google.com/) + +[I'm an inline-style link with title](https://www.google.com/ "Google's Homepage") + +[I'm a reference-style link][arbitrary case-insensitive reference text] + +[You can use numbers for reference-style link definitions][1] + +Or leave it empty and use the [link text itself]. + +URLs and URLs in angle brackets will automatically get turned into links. http://www.example.com/ or and sometimes example.com (but not on GitHub, for example). + +Some text to show that the reference links can follow later. + +[arbitrary case-insensitive reference text]: https://www.mozilla.org/ +[1]: http://slashdot.org/ +[link text itself]: http://www.reddit.com/ + +--- + +## Images + +Here's our logo (hover to see the title text): + +Inline-style: ![alt text](https://github.com/adam-p/markdown-here/raw/master/src/common/images/icon48.png 'Logo Title Text 1') + +Reference-style: ![alt text][logo] + +[logo]: https://github.com/adam-p/markdown-here/raw/master/src/common/images/icon48.png 'Logo Title Text 2' + +Images from any folder can be used by providing path to file. Path should be relative to markdown file. + +![img](../static/img/logo.svg) + +--- + +## Code + +```javascript +var s = 'JavaScript syntax highlighting'; +alert(s); +``` + +```python +s = "Python syntax highlighting" +print(s) +``` + +``` +No language indicated, so no syntax highlighting. +But let's throw in a tag. +``` + +```js {2} +function highlightMe() { + console.log('This line can be highlighted!'); +} +``` + +--- + +## Tables + +Colons can be used to align columns. + +| Tables | Are | Cool | +| ------------- | :-----------: | -----: | +| col 3 is | right-aligned | \$1600 | +| col 2 is | centered | \$12 | +| zebra stripes | are neat | \$1 | + +There must be at least 3 dashes separating each header cell. The outer pipes (|) are optional, and you don't need to make the raw Markdown line up prettily. You can also use inline Markdown. + +| Markdown | Less | Pretty | +| -------- | --------- | ---------- | +| _Still_ | `renders` | **nicely** | +| 1 | 2 | 3 | + +--- + +## Blockquotes + +> Blockquotes are very handy in email to emulate reply text. This line is part of the same quote. + +Quote break. + +> This is a very long line that will still be quoted properly when it wraps. Oh boy let's keep writing to make sure this is long enough to actually wrap for everyone. Oh, you can _put_ **Markdown** into a blockquote. + +--- + +## Inline HTML + +
+
Definition list
+
Is something people use sometimes.
+ +
Markdown in HTML
+
Does *not* work **very** well. Use HTML tags.
+
+ +--- + +## Line Breaks + +Here's a line for us to start with. + +This line is separated from the one above by two newlines, so it will be a _separate paragraph_. + +This line is also a separate paragraph, but... This line is only separated by a single newline, so it's a separate line in the _same paragraph_. + +--- + +## Admonitions + +:::note + +This is a note + +::: + +:::tip + +This is a tip + +::: + +:::important + +This is important + +::: + +:::caution + +This is a caution + +::: + +:::warning + +This is a warning + +::: diff --git a/docs/doc2.md b/docs/doc2.md new file mode 100644 index 0000000..16cfce4 --- /dev/null +++ b/docs/doc2.md @@ -0,0 +1,6 @@ +--- +id: doc2 +title: Document Number 2 +--- + +This is a link to [another document.](doc3.md) This is a link to an [external page.](http://www.example.com/) diff --git a/docs/doc3.md b/docs/doc3.md new file mode 100644 index 0000000..2c40cc6 --- /dev/null +++ b/docs/doc3.md @@ -0,0 +1,14 @@ +--- +id: doc3 +title: This is Document Number 3 +--- + +Lorem ipsum dolor sit amet, consectetur adipiscing elit. In ac euismod odio, eu consequat dui. Nullam molestie consectetur risus id imperdiet. Proin sodales ornare turpis, non mollis massa ultricies id. Nam at nibh scelerisque, feugiat ante non, dapibus tortor. Vivamus volutpat diam quis tellus elementum bibendum. Praesent semper gravida velit quis aliquam. Etiam in cursus neque. Nam lectus ligula, malesuada et mauris a, bibendum faucibus mi. Phasellus ut interdum felis. Phasellus in odio pulvinar, porttitor urna eget, fringilla lectus. Aliquam sollicitudin est eros. Mauris consectetur quam vitae mauris interdum hendrerit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. + +Duis et egestas libero, imperdiet faucibus ipsum. Sed posuere eget urna vel feugiat. Vivamus a arcu sagittis, fermentum urna dapibus, congue lectus. Fusce vulputate porttitor nisl, ac cursus elit volutpat vitae. Nullam vitae ipsum egestas, convallis quam non, porta nibh. Morbi gravida erat nec neque bibendum, eu pellentesque velit posuere. Fusce aliquam erat eu massa eleifend tristique. + +Sed consequat sollicitudin ipsum eget tempus. Integer a aliquet velit. In justo nibh, pellentesque non suscipit eget, gravida vel lacus. Donec odio ante, malesuada in massa quis, pharetra tristique ligula. Donec eros est, tristique eget finibus quis, semper non nisl. Vivamus et elit nec enim ornare placerat. Sed posuere odio a elit cursus sagittis. + +Phasellus feugiat purus eu tortor ultrices finibus. Ut libero nibh, lobortis et libero nec, dapibus posuere eros. Sed sagittis euismod justo at consectetur. Nulla finibus libero placerat, cursus sapien at, eleifend ligula. Vivamus elit nisl, hendrerit ac nibh eu, ultrices tempus dui. Nam tellus neque, commodo non rhoncus eu, gravida in risus. Nullam id iaculis tortor. + +Nullam at odio in sem varius tempor sit amet vel lorem. Etiam eu hendrerit nisl. Fusce nibh mauris, vulputate sit amet ex vitae, congue rhoncus nisl. Sed eget tellus purus. Nullam tempus commodo erat ut tristique. Cras accumsan massa sit amet justo consequat eleifend. Integer scelerisque vitae tellus id consectetur. diff --git a/docs/mdx.md b/docs/mdx.md new file mode 100644 index 0000000..f0210fb --- /dev/null +++ b/docs/mdx.md @@ -0,0 +1,17 @@ +--- +id: mdx +title: Powered by MDX +--- + +You can write JSX and use React components within your Markdown thanks to [MDX](https://mdxjs.com/). + +export const Highlight = ({children, color}) => ( {children} ); + +Docusaurus green and Facebook blue are my favorite colors. + +I can write **Markdown** alongside my _JSX_! diff --git a/documentation/batching.md b/documentation/batching.md deleted file mode 100644 index e420108..0000000 --- a/documentation/batching.md +++ /dev/null @@ -1,372 +0,0 @@ ---- -title: "Batching" -date: 2021-08-10T12:52:46+10:00 -description: How to avoid the dreaded N+1 calls for data and make your graphql system more efficient ---- -# Using Dataloader - -If you are using `graphql`, you are likely to making queries on a graph of data (no surprises there). However, it's easy -to implement inefficient code with naive loading of a graph of data. - -Using [java-dataloader](https://github.com/graphql-java/java-dataloader) will help you to make this a more efficient process by both caching and batching requests for that graph of data items. If `dataloader` -has seen a data item before, it will have cached the value and will return it without having to ask for it again. - -Imagine we have the StarWars query outlined below. It asks us to find a hero, and their friend's names, and their friend's friend's -names. It is likely that many of these people will be friends in common. - -```graphql -{ - hero { - name - friends { - name - friends { - name - } - } - } -} -``` - -The result of this query is displayed below. You can see that Han, Leia, Luke and R2-D2 are a tight-knit bunch of friends and -share many friends in common. - -```json -{ - "hero": { - "name": "R2-D2", - "friends": [ - { - "name": "Luke Skywalker", - "friends": [ - {"name": "Han Solo"}, - {"name": "Leia Organa"}, - {"name": "C-3PO"}, - {"name": "R2-D2"} - ] - }, - { - "name": "Han Solo", - "friends": [ - {"name": "Luke Skywalker"}, - {"name": "Leia Organa"}, - {"name": "R2-D2"} - ] - }, - { - "name": "Leia Organa", - "friends": [ - {"name": "Luke Skywalker"}, - {"name": "Han Solo"}, - {"name": "C-3PO"}, - {"name": "R2-D2"} - ] - } - ] - } -} -``` - -A naive implementation would call a `DataFetcher` to retrieve a person object every time it was invoked. - -In this case it would be *15* calls over the network, even though the group of people have a lot of common friends. -With `dataloader` you can make the `graphql` query much more efficient. - -As `graphql` descends each level of the query (e.g., as it processes `hero` and then `friends` and then for each of their `friends`), -the data loader is called to "promise" to deliver a person object. At each level `dataloader.dispatch()` will be -called to fire off the batch requests for that part of the query. With caching turned on (the default) then -any previously returned person will be returned as-is for no cost. - -In the above example there are only *5* unique people mentioned but with caching and batching retrieval in place there will be only -*3* calls to the batch loader function. *3* calls over the network or to a database is much better than *15* calls, you will agree. - -If you use capabilities like `java.util.concurrent.CompletableFuture.supplyAsync()` then you can make it even more efficient by making the -remote calls asynchronous to the rest of the query. This will make it even more timely since multiple calls can happen at once -if need be. - -Here is how you might put this in place: - -```java -// -// a batch loader function that will be called with N or more keys for batch loading -// This can be a singleton object since it's stateless -// -BatchLoader characterBatchLoader = new BatchLoader() { - @Override - public CompletionStage> load(List keys) { - // - // we use supplyAsync() of values here for maximum parallelisation - // - return CompletableFuture.supplyAsync(() -> getCharacterDataViaBatchHTTPApi(keys)); - } -}; - -// -// use this data loader in the data fetchers associated with characters and put them into -// the graphql schema (not shown) -// -DataFetcher heroDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - DataLoader dataLoader = environment.getDataLoader("character"); - return dataLoader.load("2001"); // R2D2 - } -}; - -DataFetcher friendsDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - StarWarsCharacter starWarsCharacter = environment.getSource(); - List friendIds = starWarsCharacter.getFriendIds(); - DataLoader dataLoader = environment.getDataLoader("character"); - return dataLoader.loadMany(friendIds); - } -}; - -// -// this instrumentation implementation will dispatch all the data loaders -// as each level of the graphql query is executed and hence make batched objects -// available to the query and the associated DataFetchers -// -// In this case we use options to make it keep statistics on the batching efficiency -// -DataLoaderDispatcherInstrumentationOptions options = DataLoaderDispatcherInstrumentationOptions - .newOptions().includeStatistics(true); - -DataLoaderDispatcherInstrumentation dispatcherInstrumentation - = new DataLoaderDispatcherInstrumentation(options); - -// -// now build your graphql object and execute queries on it. -// the data loader will be invoked via the data fetchers on the -// schema fields -// -GraphQL graphQL = GraphQL.newGraphQL(buildSchema()) - .instrumentation(dispatcherInstrumentation) - .build(); - -// -// a data loader for characters that points to the character batch loader -// -// Since data loaders are stateful, they are created per execution request. -// -DataLoader characterDataLoader = DataLoaderFactory.newDataLoader(characterBatchLoader); - -// -// DataLoaderRegistry is a place to register all data loaders in that needs to be dispatched together -// in this case there is 1 but you can have many. -// -// Also note that the data loaders are created per execution request -// -DataLoaderRegistry registry = new DataLoaderRegistry(); -registry.register("character", characterDataLoader); - -ExecutionInput executionInput = newExecutionInput() - .query(getQuery()) - .dataLoaderRegistry(registry) - .build(); - -ExecutionResult executionResult = graphQL.execute(executionInput); -``` - -In this example we explicitly added the `DataLoaderDispatcherInstrumentation` because we wanted to tweak its options. However, -it will be automatically added for you if you don't add it manually. - -You can read a lot more about the `java-dataloader` API in detail over -at [https://github.com/graphql-java/java-dataloader](https://github.com/graphql-java/java-dataloader#readme). - - -## Data Loader only works with AsyncExecutionStrategy - -The only execution that works with DataLoader is `graphql.execution.AsyncExecutionStrategy`. This is because this execution strategy knows -when the most optimal time to dispatch() your load calls is. It does this by deeply tracking how many fields are outstanding and whether they -are list values and so on. - -Other execution strategies such as `ExecutorServiceExecutionStrategy` can't do this and hence if the data loader code detects -you are not using `AsyncExecutionStrategy` then it will simply dispatch the data loader as each field is encountered. You -may get `caching` of values, but you will not get `batching` of them. - - -## Per Request Data Loaders - -If you are serving web requests then the data can be specific to the user requesting it. If you have user specific data then you will not want to -cache data meant for user A to then later give it to user B in a subsequent request. - -The scope of your DataLoader instances is important. You will want to create them per web request to -ensure data is only cached within that web request and no more. It also ensures that a ``dispatch`` call -only affects that graphql execution and no other. - -DataLoaders by default act as caches. If they have seen a value before for a key then they will automatically return -it in order to be efficient. They cache promises to a value and optionally the value itself. - -If your data can be shared across web requests then you might want to change the `ValueCache` implementation of your data loaders, so they share -data via caching systems like memcached or redis. - -You still create data loaders per request, however the caching layer will allow data sharing (if that's suitable). - - -```java -ValueCache crossRequestValueCache = new ValueCache() { - @Override - public CompletableFuture get(String key) { - return redisIntegration.getValue(key); - } - - @Override - public CompletableFuture set(String key, Object value) { - return redisIntegration.setValue(key, value); - } - - @Override - public CompletableFuture delete(String key) { - return redisIntegration.clearKey(key); - } - - @Override - public CompletableFuture clear() { - return redisIntegration.clearAll(); - } -}; - -DataLoaderOptions options = DataLoaderOptions.newOptions().setValueCache(crossRequestValueCache); - -DataLoader dataLoader = DataLoaderFactory.newDataLoader(batchLoader, options); -``` - -## Async Calls On Your Batch Loader Function Only - -The data loader code pattern works by combining all the outstanding data loader calls into more efficient batch loading calls. - -graphql-java tracks what outstanding data loader calls have been made, and it is its responsibility to call `dispatch` -in the background at the most optimal time, which is when all graphql fields have been examined and dispatched. - -However, there is a code pattern that will cause your data loader calls to never complete, and these *MUST* be avoided. This bad -pattern consists of making an asynchronous off thread call to a `DataLoader` in your data fetcher. - -The following will not work (it will never complete). - -```java -BatchLoader batchLoader = new BatchLoader() { - @Override - public CompletionStage> load(List keys) { - return CompletableFuture.completedFuture(getTheseCharacters(keys)); - } -}; - -DataLoader characterDataLoader = DataLoaderFactory.newDataLoader(batchLoader); - -// .... later in your data fetcher - -DataFetcher dataFetcherThatCallsTheDataLoader = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - // - // Don't DO THIS! - // - return CompletableFuture.supplyAsync(() -> { - String argId = environment.getArgument("id"); - DataLoader characterLoader = environment.getDataLoader("characterLoader"); - return characterLoader.load(argId); - }); - } -}; -``` - -In the example above, the call to `characterDataLoader.load(argId)` can happen some time in the future on another thread. The graphql-java -engine has no way of knowing when it's a good time to dispatch outstanding `DataLoader` calls and hence the data loader call might never complete -as expected and no results will be returned. - -Remember a data loader call is just a promise to actually get a value later when it's an optimal time for all outstanding calls to be batched -together. The most optimal time is when the graphql field tree has been examined and all field values are currently dispatched. - -The following is how you can still have asynchronous code, by placing it into the `BatchLoader` itself. - -```java -BatchLoader batchLoader = new BatchLoader() { - @Override - public CompletionStage> load(List keys) { - return CompletableFuture.supplyAsync(() -> getTheseCharacters(keys)); - } -}; - -DataLoader characterDataLoader = DataLoaderFactory.newDataLoader(batchLoader); - -// .... later in your data fetcher - -DataFetcher dataFetcherThatCallsTheDataLoader = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - // - // This is OK - // - String argId = environment.getArgument("id"); - DataLoader characterLoader = environment.getDataLoader("characterLoader"); - return characterLoader.load(argId); - } -}; -``` - -Notice above the `characterDataLoader.load(argId)` returns immediately. This will enqueue the call for data until a later time when all -the graphql fields are dispatched. - -Then later when the `DataLoader` is dispatched, its `BatchLoader` function is called. This code can be asynchronous so that if you have multiple batch loader -functions they all can run at once. In the code above `CompletableFuture.supplyAsync(() -> getTheseCharacters(keys));` will run the ``getTheseCharacters`` -method in another thread. - -## Passing context to your data loader - -The data loader library supports two types of context being passed to the batch loader. The first is -an overall context object per dataloader, and the second is a map of per loaded key context objects. - -This allows you to pass in the extra details you may need to make downstream calls. The dataloader key is used -in the caching of results, but the context objects can be made available to help with the call. - -So in the example below we have an overall security context object that gives out a call token, and we also pass the graphql source -object to each ``dataLoader.load()`` call. - -```java -BatchLoaderWithContext batchLoaderWithCtx = new BatchLoaderWithContext() { - - @Override - public CompletionStage> load(List keys, BatchLoaderEnvironment loaderContext) { - // - // we can have an overall context object - SecurityContext securityCtx = loaderContext.getContext(); - // - // and we can have a per key set of context objects - Map keysToSourceObjects = loaderContext.getKeyContexts(); - - return CompletableFuture.supplyAsync(() -> getTheseCharacters(securityCtx.getToken(), keys, keysToSourceObjects)); - } -}; - -// .... - -SecurityContext securityCtx = SecurityContext.newSecurityContext(); - -BatchLoaderContextProvider contextProvider = new BatchLoaderContextProvider() { - @Override - public Object getContext() { - return securityCtx; - } -}; -// -// this creates an overall context for the dataloader -// -DataLoaderOptions loaderOptions = DataLoaderOptions.newOptions().setBatchLoaderContextProvider(contextProvider); -DataLoader characterDataLoader = DataLoaderFactory.newDataLoader(batchLoaderWithCtx, loaderOptions); - -// .... later in your data fetcher - -DataFetcher dataFetcherThatCallsTheDataLoader = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - String argId = environment.getArgument("id"); - Object source = environment.getSource(); - // - // you can pass per load call contexts - // - return characterDataLoader.load(argId, source); - } -}; -``` diff --git a/documentation/concerns.md b/documentation/concerns.md deleted file mode 100644 index 13fd867..0000000 --- a/documentation/concerns.md +++ /dev/null @@ -1,66 +0,0 @@ ---- -title: "Concerns" -date: 2018-09-09T12:52:46+10:00 -description: Outlines certain application level concerns and how to address them ---- -# Application concerns - -The graphql-java library concentrates on providing an engine for the execution of queries according to the specification. - -It does not concern itself about other high level application concerns such as the following : - -- Database access -- Caching data -- Data authorisation -- Data pagination -- HTTP transfer -- JSON encoding -- Code wiring via dependency injection - -You need to push these concerns into your business logic layers. - -The following are great links to read more about this - -- http://graphql.org/learn/serving-over-http/ -- http://graphql.org/learn/authorization/ -- http://graphql.org/learn/pagination/ -- http://graphql.org/learn/caching/ - -## Context Objects - -You can pass in a context object during query execution that will allow you to better invoke that business logic. - -For example the edge of your application could be performing user detection and you need that information inside the -graphql execution to perform authorisation. - -This made up example shows how you can pass yourself information to help execute your queries. - -```java -// -// this could be code that authorises the user in some way and sets up enough context -// that can be used later inside data fetchers allowing them -// to do their job -// -UserContext contextForUser = YourGraphqlContextBuilder.getContextForUser(getCurrentUser()); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .graphQLContext(context -> context.put("userContext", contextForUser)) - .build(); - -ExecutionResult executionResult = graphQL.execute(executionInput); - -// ... -// -// later you are able to use this context object when a data fetcher is invoked -// - -DataFetcher dataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - UserContext userCtx = environment.getGraphQlContext().get("userContext"); - Long businessObjId = environment.getArgument("businessObjId"); - - return invokeBusinessLayerMethod(userCtx, businessObjId); - } -}; -``` diff --git a/documentation/contributions.md b/documentation/contributions.md deleted file mode 100644 index 1386301..0000000 --- a/documentation/contributions.md +++ /dev/null @@ -1,45 +0,0 @@ ---- -title: "Contributions" -date: 2018-09-09T12:52:46+10:00 -description: Every contribution to make this project better is welcome. Thank you! ---- -# Contributions - -Every contribution to make this project better is welcome: Thank you! - -In order to make this as pleasant as possible for everybody involved, here are some tips: - -* Respect the [Code of Conduct](https://github.com/graphql-java/graphql-java/blob/master/CODE_OF_CONDUCT.md) - -* Before opening an Issue to report a bug, please try the latest development version. It can happen that the problem has been already solved. - -* Please use Markdown to format your comments properly. If you are not familiar with that: [Getting started with writing and formatting on GitHub](https://help.github.com/articles/getting-started-with-writing-and-formatting-on-github) - -* For Pull Requests: - * Here are some [general tips](https://github.com/blog/1943-how-to-write-the-perfect-pull-request) - - * Please be as focused and clear as possible and don't mix concerns. This includes refactorings mixed with bug-fixes/features, see [Open Source Contribution Etiquette](http://tirania.org/blog/archive/2010/Dec-31.html). - - * It would be good to add automatic tests. All tests are written in [Spock](http://spockframework.github.io/spock/docs/1.0/index.html). - -## Build and test locally - -Clone the repo and type - -```bash -./gradlew build -``` - -In `build/libs` you will find the jar file. - -Running the tests: - -```bash -./gradlew test -``` - -Installing in the local Maven repository: - -```bash -./gradlew install -``` diff --git a/documentation/data-fetching.md b/documentation/data-fetching.md deleted file mode 100644 index 220275b..0000000 --- a/documentation/data-fetching.md +++ /dev/null @@ -1,196 +0,0 @@ ---- -title: "Data fetching" -date: 2018-09-09T12:52:46+10:00 -description: How graphql-java fetches data for each of the fields in a query ---- -# Fetching data - -## How graphql fetches data - -Each field in graphql has a `graphql.schema.DataFetcher` associated with it. - -Some fields will use specialised data fetcher code that knows how to go to a database say to get field information while -most simply take data from the returned in memory objects using the field name and Plain Old Java Object (POJO) patterns -to get the data. - -Note : Data fetchers are some times called "resolvers" in other graphql implementations. - -So imagine a type declaration like the one below : - -```graphql -type Query { - products(match : String) : [Product] # a list of products -} - -type Product { - id : ID - name : String - description : String - cost : Float - tax : Float - launchDate(dateFormat : String = "dd, MMM, yyyy') : String -} -``` - -The `Query.products` field has a data fetcher, as does each field in the type ``Product``. - -The data fetcher on the ``Query.products`` field is likely to be a more complex data fetcher, containing code that -goes to a database say to get a list of ``Product`` objects. It takes an optional ``match`` argument and hence can filter these -product results if the client specified it. - -It might look like the following : - -```java -DataFetcher productsDataFetcher = new DataFetcher>() { - @Override - public List get(DataFetchingEnvironment environment) { - DatabaseSecurityCtx ctx = environment.getGraphQlContext().get("databaseSecurityCtx"); - - List products; - String match = environment.getArgument("match"); - if (match != null) { - products = fetchProductsFromDatabaseWithMatching(ctx, match); - } else { - products = fetchAllProductsFromDatabase(ctx); - } - return products; - } -}; -``` - -Each ``DataFetcher`` is passed a ``graphql.schema.DataFetchingEnvironment`` object which contains what field is being fetched, what -arguments have been supplied to the field and other information such as the field's type, its parent type, the query root object or the query -context object. - -Note how the data fetcher code above uses the context object as an application specific security handle to get access -to the database. This is a common technique to provide lower layer calling context. - -Once we have a list of ``ProductDTO`` objects we typically don't need specialised data fetchers on each field. graphql-java -ships with a smart ``graphql.schema.PropertyDataFetcher`` that knows how to follow POJO patterns based -on the field name. In the example above there is a ``name`` field and hence it will try to look for a ``public String getName()`` -POJO method to get the data. - - -``graphql.schema.PropertyDataFetcher`` is the data fetcher that is automatically associated with each field by default. - -You can however still get access to the ``graphql.schema.DataFetchingEnvironment`` in your DTO methods. This allows you to -tweak values before sending them out. For example above we have a ``launchDate`` field that takes an optional ``dateFormat`` -argument. We can have the ProductDTO have logic that applies this date formatting to the desired format. - -```java -class ProductDTO { - - private ID id; - private String name; - private String description; - private Double cost; - private Double tax; - private LocalDateTime launchDate; - - // ... - - public String getName() { - return name; - } - - // ... - - public String getLaunchDate(DataFetchingEnvironment environment) { - String dateFormat = environment.getArgument("dateFormat"); - return yodaTimeFormatter(launchDate,dateFormat); - } -} -``` - -## Customising PropertyDataFetcher - -As mentioned above ``graphql.schema.PropertyDataFetcher`` is the default data fetcher for fields in graphql-java and it will use standard patterns for fetching -object field values. - -It supports a ``POJO`` approach and a ``Map`` approach in a Java idiomatic way. By default it assumes that for a graphql field ``fieldX`` it can find a POJO property -called ``fieldX`` or a map key called ``fieldX`` if the backing object is a ``Map``. - -However you may have small differences between your graphql schema naming and runtime object naming. For example imagine that ``Product.description`` is actually -represented as ``getDesc()`` in the runtime backing Java object. - -You can specify it directly by wiring in a field data fetcher. -This will tell the ``graphql.schema.PropertyDataFetcher`` to use the property name ``desc`` when fetching data for the graphql field named ``description``. - -```java -GraphQLFieldDefinition descriptionField = GraphQLFieldDefinition.newFieldDefinition() - .name("description") - .type(Scalars.GraphQLString) - .build(); - -GraphQLCodeRegistry codeRegistry = GraphQLCodeRegistry.newCodeRegistry() - .dataFetcher( - coordinates("ObjectType", "description"), - PropertyDataFetcher.fetching("desc")) - .build(); -``` - -## The interesting parts of the DataFetchingEnvironment - -Every data fetcher is passed a ``graphql.schema.DataFetchingEnvironment`` object which allows it to know more about what is being fetched -and what arguments have been provided. Here are some of the more interesting parts of ``DataFetchingEnvironment``. - -* `` T getSource()`` - the ``source`` object is used to get information for a field. Its the object that is the result -of the parent field fetch. In the common case it is an in memory DTO object and hence simple POJO getters will be used for fields values. In more complex cases, you may examine it to know -how to get the specific information for the current field. As the graphql field tree is executed, each returned field value -becomes the ``source`` object for child fields. - -* `` T getRoot()`` - this special object is used to seed the graphql query. The ``root`` and the ``source`` is the same thing for the -top level fields. The root object never changes during the query and it may be null and hence no used. - -* ``Map getArguments()`` - this represents the arguments that have been provided on a field and the values of those -arguments that have been resolved from passed in variables, AST literals and default argument values. You use the arguments -of a field to control what values it returns. - -* `` T getGraphQLContext()`` - the context object is set up when the query is first executed and stays the same over the lifetime -of the query. The context is a map that can contain any value and is typically used to give each data fetcher some calling context needed -when trying to get field data. For example the current user credentials or the database connection parameters could be contained -with a context object so that data fetchers can make business layer calls. One of the key design decisions you have as a graphql -system designer is how you will use context in your fetchers if at all. Some people use a dependency framework that injects context into -data fetchers automatically and hence don't need to use this. - -* ``ExecutionStepInfo getExecutionStepInfo()`` - the field type information is a catch all bucket of field type information that is built up as -the query is executed. The following section explains more on this. - -* ``DataFetchingFieldSelectionSet getSelectionSet()`` - the selection set represents the child fields that have been "selected" under neath the -currently executing field. This can be useful to help look ahead to see what sub field information a client wants. The following section explains more on this. - -* ``ExecutionId getExecutionId()`` - each query execution is given a unique id. You can use this perhaps on logs to tag each individual -query. - -## The interesting parts of ExecutionStepInfo - -The execution of a graphql query creates a call tree of fields and their types. ``graphql.execution.ExecutionStepInfo.getParentTypeInfo`` -allows you to navigate upwards and see what types and fields led to the current field execution. - -Since this forms a tree path during execution, the ``graphql.execution.ExecutionStepInfo.getPath`` method returns the representation of that -path. This can be useful for logging and debugging queries. - -There are also helper methods there to help you get the underlying type name of non null and list wrapped types. - -## The interesting parts of DataFetchingFieldSelectionSet - -Imagine a query such as the following -```graphql -query { - products { - # the fields below represent the selection set - name - description - sellingLocations { - state - } - } -} -``` - -The sub fields here of the ``products`` field represent the selection set of that field. It can be useful to know what sub selection has been asked for -so the data fetcher can optimise the data access queries. For example an SQL backed system may be able to use the field sub selection to -only retrieve the columns that have been asked for. - -In the example above we have asked for ``sellingLocations`` information and hence we may be able to make an more efficient data access query where -we ask for product information and selling location information at the same time. diff --git a/documentation/data-mapping.md b/documentation/data-mapping.md deleted file mode 100644 index 8890f79..0000000 --- a/documentation/data-mapping.md +++ /dev/null @@ -1,319 +0,0 @@ ---- -title: "Data mapping" -date: 2018-09-09T12:52:46+10:00 -description: How graphql-java maps object data to graphql types ---- -# Mapping output data - -## How graphql maps object data to output types - -At its heart graphql is all about declaring a type schema and mapping that over backing runtime data. - -As the designer of the type schema, it is your challenge to get these elements to meet in the middle. - -For example imagine we want to have a graphql type schema as follows: - -```graphql -type Query { - products(match : String) : [Product] # a list of products -} - -type Product { - id : ID - name : String - description : String - cost : Float - tax : Float -} -``` - -We could then run queries over this simple schema via a something like the following: - -```graphql -query ProductQuery { - products(match : "Paper*") - { - id, name, cost, tax - } -} -``` - -We will have a ``DataFetcher`` on the ``Query.products`` field that is responsible for finding a list of products that match -the argument passed in. - -Now imagine we have 3 downstream services. One that gets product information, one that gets product cost information and one that calculates -product tax information. - -graphql-java works by running data fetchers over objects for all that information and mapping that back to the types specified in the schema. - -Our challenge is to take these 3 sources of information and present them as one unified type. - -We could specify data fetchers on the ``cost`` and ``tax`` fields that does those calculations but this is more to maintain and likely to lead to -`N+1 performance problems`. - -We would be better to do all this work in the ``Query.products`` data fetcher and create a unified view of the data at that point. - -```java -DataFetcher productsDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment env) { - String matchArg = env.getArgument("match"); - - List productInfo = getMatchingProducts(matchArg); - - List productCostInfo = getProductCosts(productInfo); - - List productTaxInfo = getProductTax(productInfo); - - return mapDataTogether(productInfo, productCostInfo, productTaxInfo); - } -}; -``` - -So looking at the code above we have 3 types of information that need to be combined in a way such that a graphql query above can get access to -the fields ``id, name, cost, tax`` - -We have two ways to create this mapping. One is via using a not type safe ``List`` structure and one by creating a type safe ``List`` class that -encapsulates this unified data. - -The ``Map`` technique could look like this. - -```java -private List mapDataTogetherViaMap(List productInfo, List productCostInfo, List productTaxInfo) { - List unifiedView = new ArrayList<>(); - for (int i = 0; i < productInfo.size(); i++) { - ProductInfo info = productInfo.get(i); - ProductCostInfo cost = productCostInfo.get(i); - ProductTaxInfo tax = productTaxInfo.get(i); - - Map objectMap = new HashMap<>(); - objectMap.put("id", info.getId()); - objectMap.put("name", info.getName()); - objectMap.put("description", info.getDescription()); - objectMap.put("cost", cost.getCost()); - objectMap.put("tax", tax.getTax()); - - unifiedView.add(objectMap); - } - return unifiedView; -} -``` - -The more type safe ``DTO`` technique could look like this. - -```java -class ProductDTO { - private final String id; - private final String name; - private final String description; - private final Float cost; - private final Float tax; - - public ProductDTO(String id, String name, String description, Float cost, Float tax) { - this.id = id; - this.name = name; - this.description = description; - this.cost = cost; - this.tax = tax; - } - - public String getId() { - return id; - } - - public String getName() { - return name; - } - - public String getDescription() { - return description; - } - - public Float getCost() { - return cost; - } - - public Float getTax() { - return tax; - } -} - -private List mapDataTogetherViaDTO(List productInfo, List productCostInfo, List productTaxInfo) { - List unifiedView = new ArrayList<>(); - for (int i = 0; i < productInfo.size(); i++) { - ProductInfo info = productInfo.get(i); - ProductCostInfo cost = productCostInfo.get(i); - ProductTaxInfo tax = productTaxInfo.get(i); - - ProductDTO productDTO = new ProductDTO( - info.getId(), - info.getName(), - info.getDescription(), - cost.getCost(), - tax.getTax() - ); - unifiedView.add(productDTO); - } - return unifiedView; -} -``` - -The graphql engine will now use that list of objects and run the query sub fields ``id, name, cost, tax`` over it. - -The default data fetcher in graphql-java is ``graphql.schema.PropertyDataFetcher`` which has both map support and POJO support. - -For every object in the list it will look for an ``id`` field, find it by name in a map or via a `getId()` getter method and that will be sent back in the graphql -response. It does that for every field in the query on that type. - -By creating a "unified view" at the higher level data fetcher, you have mapped between your runtime view of the data and the graphql schema view of the data. - -# Mapping input data - -## How graphql maps object data to input types - -Input type values are provided to as input to a graphql operation. The three kinds of types that can be input are **Enums**, **Scalars** and **Input Object Types** and the **List** and **Non-Null** variants of these -type kinds. - -The following outlines how graphql-java represents these type kinds in JVM runtime terms. - -### Enums - -graphql-java maps input `Enum` values by name. When you create the `graphql.schema.GraphQLEnumType` instance you can in theory map a name `java.lang.String` -to any JVM object. But this is not common at all. Mostly the name of the enum value is the actual value of it. - -```graphql -enum RGB { - RED, BLUE, GREEN -} - -scalar Pantone - -type Query { - toPantone( color : RGB) : Pantone -} -``` - -The `RGB` enum type above has the runtime JVM `java.lang.String` values of `"RED"`,`"BLUE"` and `"GREEN"` on input and output. - -The graphql-java system allow you to also input `java.lang.Enum` but this is not common at all for input. The reason it's not common is that this would -require you to turn your network input into Java enums and this is not a common action of serialisation frameworks. - -If the input value to the enum comes from the graphql operation document, then the input value will initially be a `graphql.language.EnumValue` which -is the AST representation of a graphql `Enum` value. This will be converted by graphql-java to a value by name. - -So a query document like the following will end up mapping the AST enum input value `RED` to the JVM value `"RED"`. - -```graphql -query MyColors { - toPantone(color : RED) -} -``` - -### Scalars - -The input values to a scalar are controlled by the scalar implementation. If their `graphql.schema.Coercing#parseValue(java.lang.Object, graphql.GraphQLContext, java.util.Locale)` accepts -a certain value then it's up to them to decide what JVM object is returned by the scalar code. - -The graphql-java scalars will return the following values as JVM object input values. - -* **String** aka ``GraphQLString`` - will produce a `java.lang.String` -* **Boolean** aka ``GraphQLBoolean`` - will produce a `java.lang.Boolean` -* **Int** aka ``GraphQLInt`` - will produce a `java.lang.Integer` -* **Float** aka ``GraphQLFloat`` - will produce a `java.lang.Double` -* **ID** aka ``GraphQLID`` - will produce a `java.lang.String` - -### Input Object Types - -Input object types are complex input types with named input fields. The runtime JVM representation will be a `java.util.Map`. Specifically -a map that ordered its keys in a predictable way. - -So imagine this input type named `Person` - -```graphql -input Person { - name : String! - age : Int! -} - -type Query { - contact(person : Person) : String -} -``` - -This will be represented at runtime as a `java.util.Map` containing a key `name` with a `java.lang.String` value and -a key `age` with a `java.lang.Integer` value. - -### Nonnull input types - -There is no special runtime object used for non-null input types other than the called code can safely assume that the object -is not a null value. - -```graphql -type Query { - field(arg1 : String!, arg2 : String) : String -} -``` - -So in the example above the `arg1` field argument will always be a non-null `java.lang.String` value while `arg2` may be `null` at runtime. - -### Lists of input types - -If the input type is a graphql list input type then the runtime JVM representation will be a `java.util.List` of the wrapped input type. - -So as an example, given - -```graphql -type Query { - field(arg : [String!]!) : String -} -``` - -The `arg` field argument would be a non-null `java.util.List` containing zero or more non-null `java.lang.String` values. - -In graphql you can say that a list is non-null and its entries are also non-null -however there is no way to say that the list has one or more entries. - -The `arg` field argument above could be an empty list. It will not be `null` but it could be empty. - -Complex runtime input values can be declared and the runtime representation will reflect that. - -```graphql -input Person { - name : String! - age : Int! - friends : [Person!] -} - -type Query { - contacts(people : [Person!]!) : String -} - -``` - -The `person` field argument would be a `java.util.List` containing one or more `java.util.Map`s, where each map contained named entries -and the `friends` map entry could itself be a `java.util.List` containing one or more `java.util.Map`s, so imagine -the following representation at runtime : - -```java - List.of( - Map.of("name", "Brad", - "age", 42, - "friends", List.of( - Map.of("name", "Bill", - "age", 17, - "friends", List.of() - ) - ) - ), - Map.of("name", "Andreas", - "age", 34, - "friends", List.of( - Map.of("name", "Ted", - "age", 15, - "friends", List.of() - ) - ) - ) - ); - -``` \ No newline at end of file diff --git a/documentation/directives.md b/documentation/directives.md deleted file mode 100644 index 53079dc..0000000 --- a/documentation/directives.md +++ /dev/null @@ -1,438 +0,0 @@ ---- -title: "SDL directives" -date: 2018-09-09T12:52:46+10:00 -description: How SDL Directives can be used to adjust the behavior of your graphql API ---- -# Directives - -[Directives](https://spec.graphql.org/draft/#sec-Language.Directives) are a powerful feature of GraphQL, allowing you to declare additional data to a schema or document. This data can then be used to change runtime execution or type validation behavior. - -There are two broad categories of directives, schema and operation directives. Schema directives are used on schema elements, and operation directives are used in operations within a GraphQL document. - -Often, operation directives are also called "query directives", although they can be used in any GraphQL operation. Whilst both names can be used interchangeably, note that GraphQL Java class names use "query directives". - -Note for those who love the details: the terminology of directives is a bit confusing. It is technically possible to define a directive that is both a schema and operation directive, in other words, defined for both schema and operation locations. However in practice, this is not common. - -# Schema Directives - -## Adding Behaviour - -Schema Definition Language (SDL) allows you to define your graphql types in a declarative manner without using code. However you still need to wire in all the -logic that backs those types and their fields. - -Schema directives allow you to do this. You can place directives on SDL elements and then write the backing logic -once and have it apply in many places. - -This idea of "writing it once" is the key concept here. There is only code place where -logic needs to be written and it is then applied to all the places in the SDL that have a named directive. - -This is a more powerful model than wiring in 10-100s of data fetchers like you might -with the conventional runtime wiring. - -For example imagine you have a type like the following - -```graphql -type Employee - id : ID - name : String! - startDate : String! - salary : Float -} -``` - -Publishing ``salary`` information to every one who can see this employee's ``name`` might not be what you want. Rather you want some sort of access control -to be in place such that if your role is that of a manager, you can see salaries, otherwise you get no data back. - -Directives can help you declare this more easily. Our declaration above would become something like the following: - -```graphql -directive @auth(role : String!) on FIELD_DEFINITION - -type Employee - id : ID - name : String! - startDate : String! - salary : Float @auth(role : "manager") -} -``` - -So we have said that only people who have the role ``manager`` are authorised to see this field. We can now use this directive on ANY field -that needs manager role authorisation. - - -```graphql -directive @auth(role : String!) on FIELD_DEFINITION - -type Employee - id : ID - name : String! - startDate : String! - salary : Float @auth(role : "manager") -} - -type Department { - id : ID - name : String - yearlyOperatingBudget : Float @auth(role : "manager") - monthlyMarketingBudget : Float @auth(role : "manager") -} -``` - -We now need to wire in the code that can handle any field with this ``@auth`` directive. We use ``graphql.schema.idl.SchemaDirectiveWiring`` to do this. - -```java -class AuthorisationDirective implements SchemaDirectiveWiring { - - @Override - public GraphQLFieldDefinition onField(SchemaDirectiveWiringEnvironment environment) { - String targetAuthRole = (String) environment.getAppliedDirective().getArgument("role").getArgumentValue().getValue(); - - // - // build a data fetcher that first checks authorisation roles before then calling the original data fetcher - // - DataFetcher originalDataFetcher = environment.getFieldDataFetcher(); - DataFetcher authDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment dataFetchingEnvironment) throws Exception { - AuthorisationCtx authContext = dataFetchingEnvironment.getGraphQlContext().get("authContext"); - - if (authContext.hasRole(targetAuthRole)) { - return originalDataFetcher.get(dataFetchingEnvironment); - } else { - return null; - } - } - }; - // - // now change the field definition to have the new authorising data fetcher - return environment.setFieldDataFetcher(authDataFetcher); - } -} - -// -// we wire this into the runtime by directive name -// -RuntimeWiring.newRuntimeWiring() - .directive("auth", new AuthorisationDirective()) - .build(); -``` - -This has modified the ``GraphQLFieldDefinition`` so that its original data fetcher will ONLY be called if the current authorisation context -has the ``manager`` role. You can use any mechanism for authorisation, for example Spring Security or anything else. - -You would provide this authorisation checker into the execution "context" object of the graphql input, so it can then be accessed later in the -``DataFetchingEnvironment``. - -```java -AuthorisationCtx authCtx = AuthorisationCtx.obtain(); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .query(query) - .graphQLContext(builder -> builder.put("authContext", authCtx)) - .build(); -``` - -## Declaring Directives - -In order to use a directive in SDL, the graphql specification requires that you MUST declare its shape before using it. Our ``@auth`` directive example above needs to be -declared like so before use. - -```graphql -# This is a directive declaration -directive @auth(role : String!) on FIELD_DEFINITION - -type Employee - id : ID - - # and this is a usage of that declared directive - salary : Float @auth(role : "manager") -} -``` - -The one exception to this is the ``@deprecated`` directive which is implicitly declared for you as follows: - -```graphql -directive @deprecated(reason: String = "No longer supported") on FIELD_DEFINITION | ENUM_VALUE -``` - -The valid SDL directive locations are as follows: - -```graphql -SCHEMA, -SCALAR, -OBJECT, -FIELD_DEFINITION, -ARGUMENT_DEFINITION, -INTERFACE, -UNION, -ENUM, -ENUM_VALUE, -INPUT_OBJECT, -INPUT_FIELD_DEFINITION -``` - -Directives are commonly applied to fields definitions but as you can see there are a number of places they can be applied. - -## Another Example - Date Formatting - -Date formatting is a cross-cutting concern that we should only have to write once and apply it in many areas. - -The following demonstrates an example schema directive that can apply date formatting to fields that are ``LocaleDate`` objects. - -What's great in this example is that it adds an extra ``format`` argument to each field that it is applied to. So the clients can -opt into what ever date formatting you provide per request. - -```graphql -directive @dateFormat on FIELD_DEFINITION - -type Query { - dateField : String @dateFormat -} -``` - -Then our runtime code could be : - -```java -public static class DateFormatting implements SchemaDirectiveWiring { - @Override - public GraphQLFieldDefinition onField(SchemaDirectiveWiringEnvironment environment) { - GraphQLFieldDefinition field = environment.getElement(); - GraphQLFieldsContainer parentType = environment.getFieldsContainer(); - // - // DataFetcherFactories.wrapDataFetcher is a helper to wrap data fetchers so that CompletionStage is handled correctly - // along with POJOs - // - DataFetcher originalFetcher = environment.getCodeRegistry().getDataFetcher(parentType, field); - DataFetcher dataFetcher = DataFetcherFactories.wrapDataFetcher(originalFetcher, ((dataFetchingEnvironment, value) -> { - DateTimeFormatter dateTimeFormatter = buildFormatter(dataFetchingEnvironment.getArgument("format")); - if (value instanceof LocalDateTime) { - return dateTimeFormatter.format((LocalDateTime) value); - } - return value; - })); - - // - // This will extend the field by adding a new "format" argument to it for the date formatting - // which allows clients to opt into that as well as wrapping the base data fetcher so it - // performs the formatting over top of the base values. - // - FieldCoordinates coordinates = FieldCoordinates.coordinates(parentType, field); - environment.getCodeRegistry().dataFetcher(coordinates, dataFetcher); - - return field.transform(builder -> builder - .argument(GraphQLArgument - .newArgument() - .name("format") - .type(Scalars.GraphQLString) - .defaultValueProgrammatic("dd-MM-YYYY") - ) - ); - } - - private DateTimeFormatter buildFormatter(String format) { - String dtFormat = format != null ? format : "dd-MM-YYYY"; - return DateTimeFormatter.ofPattern(dtFormat); - } -} - -static GraphQLSchema buildSchema() { - - String sdlSpec = "directive @dateFormat on FIELD_DEFINITION\n" + - "type Query {\n" + - " dateField : String @dateFormat \n" + - "}"; - - TypeDefinitionRegistry registry = new SchemaParser().parse(sdlSpec); - - RuntimeWiring runtimeWiring = RuntimeWiring.newRuntimeWiring() - .directive("dateFormat", new DateFormatting()) - .build(); - - return new SchemaGenerator().makeExecutableSchema(registry, runtimeWiring); -} - -public static void main(String[] args) { - GraphQLSchema schema = buildSchema(); - GraphQL graphql = GraphQL.newGraphQL(schema).build(); - - Map root = new HashMap<>(); - root.put("dateField", LocalDateTime.of(1969, 10, 8, 0, 0)); - - String query = "" + - "query {\n" + - " default : dateField \n" + - " usa : dateField(format : \"MM-dd-YYYY\") \n" + - "}"; - - ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .root(root) - .query(query) - .build(); - - ExecutionResult executionResult = graphql.execute(executionInput); - Map data = executionResult.getData(); - - // data['default'] == '08-10-1969' - // data['usa'] == '10-08-1969' -} -``` - -Notice the SDL definition did not have a ``format`` argument yet once the directive wiring is applied, it is added -to the field definition and hence clients can begin to use it. - -Please note that graphql-java does not ship with this implementation. It is merely provided here as -an example of what you could add yourself. - - -## Chaining Behaviour - -The directives are applied in the order they are encountered. For example imagine directives that changed the case of a field value. - -```graphql -directive @uppercase on FIELD_DEFINITION -directive @lowercase on FIELD_DEFINITION -directive @mixedcase on FIELD_DEFINITION -directive @reversed on FIELD_DEFINITION - -type Query { - lowerCaseValue : String @uppercase - upperCaseValue : String @lowercase - mixedCaseValue : String @mixedcase - - # - # directives are applied in order hence this will be lower, then upper, then mixed then reversed - # - allTogetherNow : String @lowercase @uppercase @mixedcase @reversed -} -``` - -When the above was executed each directive would be applied one on top of the other. Each directive implementation should be careful -to preserve the previous data fetcher to retain behaviour (unless of course you mean to throw it away) - -# Operation Directives (also known as Query Directives) -Let's define an operation directive `@cache`, which can be used on operation fields. - -```graphql -# Can only be used on a field in a GraphQL document -directive @cache on FIELD - -type Query { - pet: Pet -} - -type Pet { - name: String - lastTimeOutside: String -} -``` - -We can only use this `@cache` directive on fields in a GraphQL document, which contains operations. - -```graphql -query myPet { - pet { - name - lastTimeOutside @cache - } -} -``` - -Directives can also have arguments. Let's add a `maxAge` argument, with a default value of 1000. - -```graphql -# Argument with a default value -directive @cache(maxAge: Int = 1000) on FIELD -``` - -In a GraphQL document, we could use our updated `@cache` directive to specify a maxAge value: - -```graphql -query myPet { - pet { - name - lastTimeOutside @cache(maxAge: 500) - } -} -``` - -All custom schema and operation directives don't have any effect until we implement new custom behavior. For example, the operation above where `lastTimeOutside` has a `@cache` directive behaves exactly the same as without it, until we have implemented some new logic. We'll demonstrate implementation of behavior for directives in the next section of this page. - -Here is an operation directive with all possible eight locations in a GraphQL document, which contains operations. - -```graphql -type @foo on QUERY | MUTATION | SUBSCRIPTION | - FIELD | FRAGMENT_DEFINITION | FRAGMENT_SPREAD | - INLINE_FRAGMENT | VARIABLE_DEFINITION - -query someQuery( - $var: String @foo # Variable definition - ) @foo # Query - { - field @foo # Field - ... on Query @foo { # Inline fragment - field - } - ...someFragment @foo # Fragment spread -} - -fragment someFragment @foo { # Fragment - field -} - -mutation someMutation @foo { # Mutation - field -} - -subscription someSubscription @foo { # Subscription - field -} -``` - -Although it is technically possible to define a directive that includes locations associated with schema and operation directives, in practice this is not common. - -## Implementing logic for operation directives - -Let's implement the logic for a `@cache` operation directive: - -```graphql -directive @cache(maxAge: Int) on FIELD -``` - -This is an operation directive that enables clients to specify how recent cache entries must be. This is an example of an operation directive that can change execution. - -For example, a client specifies that `hello` cache entries must not be older than 500 ms, otherwise we re-fetch these entries. - -```graphql -query caching { - hello @cache(maxAge: 500) -} -``` - -In GraphQL Java, operation directive definitions are represented as `GraphQLDirective`s. Operation directive usages are represented as `QueryAppliedDirective`s. Note that the word "query" here is misleading, as it actually refers to a directive that applies to any of the three GraphQL operations: queries, mutations, or subscriptions. Operation directives are still commonly referred to as "query" directives, hence the class name. - -Usages of operation directives are represented in GraphQL Java as instances of `QueryAppliedDirective`, and provided argument values are represented as `QueryAppliedDirectiveArgument`. - -We can access operation directives usage during execution via `getQueryDirectives()` in `DataFetchingEnvironment`. For example: - -```java -DataFetcher cacheDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment env) { - QueryDirectives queryDirectives = env.getQueryDirectives(); - List cacheDirectives = queryDirectives - .getImmediateAppliedDirective("cache"); - // We get a List, because we could have - // repeatable directives - if (cacheDirectives.size() > 0) { - QueryAppliedDirective cache = cacheDirectives.get(0); - QueryAppliedDirectiveArgument maxAgeArgument - = cache.getArgument("maxAge"); - int maxAge = maxAgeArgument.getValue(); - - // Now we know the max allowed cache time and - // can make use of it - // Your logic goes here - } - } -}; -``` diff --git a/documentation/exceptions.md b/documentation/exceptions.md deleted file mode 100644 index 93624b3..0000000 --- a/documentation/exceptions.md +++ /dev/null @@ -1,63 +0,0 @@ ---- -title: "Exceptions" -date: 2018-09-09T12:52:46+10:00 -description: Outlines the exceptions used in graphql-java ---- -# Runtime Exceptions - -Runtime exceptions can be thrown by the graphql engine if certain exceptional situations are encountered. The following -are a list of the exceptions that can be thrown all the way out of a ``graphql.execute(...)`` call. - -These are not graphql errors in execution but rather totally unacceptable conditions in which to execute a graphql query. - - - `graphql.schema.CoercingSerializeException` - - is thrown when a value cannot be serialised by a Scalar type, for example - a String value being coerced as an Int. - - - - `graphql.schema.CoercingParseValueException` - - is thrown when a value cannot be parsed by a Scalar type, for example - a String input value being parsed as an Int. - - - - `graphql.execution.UnresolvedTypeException` - - is thrown if a `graphql.schema.TypeResolver` fails to provide a concrete - object type given a interface or union type. - - - - `graphql.execution.NonNullableValueCoercedAsNullException` - - is thrown if a non null variable argument is coerced as a - null value during execution. - - - - `graphql.execution.InputMapDefinesTooManyFieldsException` - - is thrown if a map used for an input type object contains - more keys than is defined in that input type. - - - - `graphql.schema.validation.InvalidSchemaException` - - is thrown if the schema is not valid when built via - `graphql.schema.GraphQLSchema.Builder#build()` - - - `graphql.execution.UnknownOperationException` - -if multiple operations are defined in the query and -the operation name is missing or there is no matching operation name -contained in the GraphQL query. - - - `graphql.GraphQLException` - - is thrown as a general purpose runtime exception, for example if the code cant - access a named field when examining a POJO, it is analogous to a RuntimeException if you will. - - - - `graphql.AssertException` - - is thrown as a low level code assertion exception for truly unexpected code conditions, things we assert -should never happen in practice. diff --git a/documentation/execution.md b/documentation/execution.md deleted file mode 100644 index 44e5d46..0000000 --- a/documentation/execution.md +++ /dev/null @@ -1,512 +0,0 @@ ---- -title: "Execution" -date: 2018-09-09T12:52:46+10:00 -description: How to execute a query using the graphql-java engine ---- -# Execution - -## Queries - -To execute a query against a schema, build a new ``GraphQL`` object with the appropriate arguments and then -call ``execute()``. - -The result of a query is an ``ExecutionResult`` which is the query data and/or a list of errors. - -```java -GraphQLSchema schema = GraphQLSchema.newSchema() - .query(queryType) - .build(); - -GraphQL graphQL = GraphQL.newGraphQL(schema) - .build(); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput().query("query { hero { name } }") - .build(); - -ExecutionResult executionResult = graphQL.execute(executionInput); - -Object data = executionResult.getData(); -List errors = executionResult.getErrors(); -``` - -More complex query examples can be found in the [StarWars query tests](https://github.com/graphql-java/graphql-java/blob/master/src/test/groovy/graphql/StarWarsQueryTest.groovy) - -## Data Fetchers - -Each graphql field type has a ``graphql.schema.DataFetcher`` associated with it. Other graphql implementations often call this -type of code *resolvers*. - -Often you can rely on ``graphql.schema.PropertyDataFetcher`` to examine Java POJO objects to -provide field values from them. If your don't specify a data fetcher on a field, this is what will be used. - -However you will need to fetch your top level domain objects via your own custom data fetchers. This might involve making -a database call or contacting another system over HTTP say. - -``graphql-java`` is not opinionated about how you get your domain data objects, that is very much your concern. It is also not -opinionated on user authorisation to that data. You should push all that logic into your business logic layer code. - -A data fetcher might look like this: - -```java -DataFetcher userDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - return fetchUserFromDatabase(environment.getArgument("userId")); - } -}; -``` - -Each ``DataFetcher`` is passed a ``graphql.schema.DataFetchingEnvironment`` object which contains what field is being fetched, what -arguments have been supplied to the field and other information such as the field's parent object, the query root object or the query -context object. - -In the above example, the execution will wait for the data fetcher to return before moving on. You can make execution of -the ``DataFetcher`` asynchronous by returning a ``CompletionStage`` to data, that is explained more further down this page. - -## Exceptions while fetching data - -If an exception happens during the data fetcher call, then the execution strategy by default will make a -``graphql.ExceptionWhileDataFetching`` error and add it to the list of errors on the result. Remember graphql allows -partial results with errors. - -Here is the code for the standard behaviour. - -```java -public class SimpleDataFetcherExceptionHandler implements DataFetcherExceptionHandler { - - static final SimpleDataFetcherExceptionHandler defaultImpl = new SimpleDataFetcherExceptionHandler(); - - private DataFetcherExceptionHandlerResult handleExceptionImpl(DataFetcherExceptionHandlerParameters handlerParameters) { - Throwable exception = unwrap(handlerParameters.getException()); - SourceLocation sourceLocation = handlerParameters.getSourceLocation(); - ResultPath path = handlerParameters.getPath(); - - ExceptionWhileDataFetching error = new ExceptionWhileDataFetching(path, exception, sourceLocation); - logException(error, exception); - - return DataFetcherExceptionHandlerResult.newResult().error(error).build(); - } - - @Override - public CompletableFuture handleException(DataFetcherExceptionHandlerParameters handlerParameters) { - return CompletableFuture.completedFuture(handleExceptionImpl(handlerParameters)); - } - - // See class for other methods -} -``` - -If the exception you throw is itself a `GraphqlError` then it will transfer the message and custom extensions attributes from that exception -into the `ExceptionWhileDataFetching` object. This allows you to place your own custom attributes into the graphql error that is sent back -to the caller. - -For example imagine your data fetcher threw this exception. The `foo` and `fizz` attributes would be included in the resultant -graphql error. - -```java -class CustomRuntimeException extends RuntimeException implements GraphQLError { - @Override - public Map getExtensions() { - Map customAttributes = new LinkedHashMap<>(); - customAttributes.put("foo", "bar"); - customAttributes.put("fizz", "whizz"); - return customAttributes; - } - - @Override - public List getLocations() { - return null; - } - - @Override - public ErrorType getErrorType() { - return ErrorType.DataFetchingException; - } -} -``` - -You can change this behaviour by creating your own ``graphql.execution.DataFetcherExceptionHandler`` exception handling code and -giving that to the execution strategy. - -For example the code above records the underlying exception and stack trace. Some people -may prefer not to see that in the output error list. So you can use this mechanism to change that -behaviour. - -```java -DataFetcherExceptionHandler handler = new DataFetcherExceptionHandler() { - @Override - public CompletableFuture handleException(DataFetcherExceptionHandlerParameters handlerParameters) { - // do your custom handling here. The parameters have all you need - } -}; -ExecutionStrategy executionStrategy = new AsyncExecutionStrategy(handler); -``` - -## Returning data and errors - -It is also possible to return both data and multiple errors in a ``DataFetcher`` implementation by returning -`graphql.execution.DataFetcherResult` either directly or wrapped in a ``CompletableFuture`` instance for asynchronous -execution. This is a useful when your ``DataFetcher`` may need to retrieve data from multiple sources or from another -GraphQL resource. - -In this example, the ``DataFetcher`` retrieves a user from another GraphQL resource and returns its data and errors. - -```java -DataFetcher userDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - Map response = fetchUserFromRemoteGraphQLResource(environment.getArgument("userId")); - List errors = response.get("errors").stream() - .map(MyMapGraphQLError::new) - .collect(Collectors.toList()); - return new DataFetcherResult(response.get("data"), errors); - } -}; -``` - - -## Serializing results to JSON - -The most common way to call graphql is over HTTP and to expect a JSON response back. So you need to turn an -`graphql.ExecutionResult` into a JSON payload. - -A common way to do that is use a JSON serialisation library like Jackson or GSON. However exactly how they interpret the -data result is particular to them. For example `nulls` are important in graphql results and hence you must set up the json mappers -to include them. - -To ensure you get a JSON result that conforms 100% to the graphql spec, you should call `toSpecification` on the result and then -send that back as JSON. - -This will ensure that the result follows the specification outlined in http://facebook.github.io/graphql/#sec-Response - - -```java -ExecutionResult executionResult = graphQL.execute(executionInput); - -Map toSpecificationResult = executionResult.toSpecification(); - -sendAsJson(toSpecificationResult); -``` - -## Mutations - -A good starting point to learn more about mutating data in graphql is http://graphql.org/learn/queries/#mutations - -In essence you need to define a ``GraphQLObjectType`` that takes arguments as input. Those arguments are what you can use to mutate your data store -via the data fetcher invoked. - -The mutation is invoked via a query like : - -```graphql -mutation CreateReviewForEpisode($ep: Episode!, $review: ReviewInput!) { - createReview(episode: $ep, review: $review) { - stars - commentary - } -} -``` - -You need to send in arguments during that mutation operation, in this case for the variables for ``$ep`` and ``$review`` - -You would create types like this to handle this mutation : - -```java -GraphQLInputObjectType episodeType = newInputObject() - .name("Episode") - .field(newInputObjectField() - .name("episodeNumber") - .type(Scalars.GraphQLInt)) - .build(); - -GraphQLInputObjectType reviewInputType = newInputObject() - .name("ReviewInput") - .field(newInputObjectField() - .name("stars") - .type(Scalars.GraphQLString) - .name("commentary") - .type(Scalars.GraphQLString)) - .build(); - -GraphQLObjectType reviewType = newObject() - .name("Review") - .field(newFieldDefinition() - .name("stars") - .type(GraphQLString)) - .field(newFieldDefinition() - .name("commentary") - .type(GraphQLString)) - .build(); - -GraphQLObjectType createReviewForEpisodeMutation = newObject() - .name("CreateReviewForEpisodeMutation") - .field(newFieldDefinition() - .name("createReview") - .type(reviewType) - .argument(newArgument() - .name("episode") - .type(episodeType) - ) - .argument(newArgument() - .name("review") - .type(reviewInputType) - ) - ) - .build(); - -GraphQLCodeRegistry codeRegistry = newCodeRegistry() - .dataFetcher( - coordinates("CreateReviewForEpisodeMutation", "createReview"), - mutationDataFetcher() - ) - .build(); - - -GraphQLSchema schema = GraphQLSchema.newSchema() - .query(queryType) - .mutation(createReviewForEpisodeMutation) - .codeRegistry(codeRegistry) - .build(); -``` - -Notice that the input arguments are of type ``GraphQLInputObjectType``. This is important. Input arguments can ONLY be of that type -and you cannot use output types such as ``GraphQLObjectType``. Scalars types are considered both input and output types. - -The data fetcher here is responsible for executing the mutation and returning some sensible output values. - -```java -private DataFetcher mutationDataFetcher() { - return new DataFetcher() { - @Override - public Review get(DataFetchingEnvironment environment) { - // - // The graphql specification dictates that input object arguments MUST - // be maps. You can convert them to POJOs inside the data fetcher if that - // suits your code better - // - // See http://facebook.github.io/graphql/October2016/#sec-Input-Objects - // - Map episodeInputMap = environment.getArgument("episode"); - Map reviewInputMap = environment.getArgument("review"); - - // - // in this case we have type safe Java objects to call our backing code with - // - EpisodeInput episodeInput = EpisodeInput.fromMap(episodeInputMap); - ReviewInput reviewInput = ReviewInput.fromMap(reviewInputMap); - - // make a call to your store to mutate your database - Review updatedReview = reviewStore().update(episodeInput, reviewInput); - - // this returns a new view of the data - return updatedReview; - } - }; -} -``` - -Notice how it calls a data store to mutate the backing database and then returns a ``Review`` object that can be used as the output values -to the caller. - -## Asynchronous Execution - -graphql-java uses fully asynchronous execution techniques when it executes queries. You can get the ``CompletableFuture`` to results by calling -``executeAsync()`` like this - -```java -GraphQL graphQL = buildSchema(); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput().query("query { hero { name } }") - .build(); - -CompletableFuture promise = graphQL.executeAsync(executionInput); - -promise.thenAccept(executionResult -> { - // here you might send back the results as JSON over HTTP - encodeResultToJsonAndSendResponse(executionResult); -}); - -promise.join(); -``` - -The use of ``CompletableFuture`` allows you to compose actions and functions that will be applied when the execution completes. The final -call to ``.join()`` waits for the execution to happen. - -In fact under the covers, the graphql-java engine uses asynchronous execution and makes the ``.execute()`` method appear synchronous by -calling join for you. So the following code is in fact the same. - -```java -ExecutionResult executionResult = graphQL.execute(executionInput); - -// the above is equivalent to the following code (in long hand) - -CompletableFuture promise = graphQL.executeAsync(executionInput); -ExecutionResult executionResult2 = promise.join(); -``` - -If a ``graphql.schema.DataFetcher`` returns a ``CompletableFuture`` object then this will be composed into the overall asynchronous -query execution. This means you can fire off a number of field fetching requests in parallel. Exactly what -threading strategy you use is up to your data fetcher code. - -The following code uses the standard Java ``java.util.concurrent.ForkJoinPool.commonPool()`` thread executor to supply values in another -thread. - -```java -DataFetcher userDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - CompletableFuture userPromise = CompletableFuture.supplyAsync(() -> { - return fetchUserViaHttp(environment.getArgument("userId")); - }); - return userPromise; - } -}; -``` - -The code above is written in long form. With Java 8 lambdas it can be written more succinctly as follows - -```java -DataFetcher userDataFetcher = environment -> CompletableFuture.supplyAsync( - () -> fetchUserViaHttp(environment.getArgument("userId"))); -``` - -The graphql-java engine ensures that all the ``CompletableFuture`` objects are composed together to provide an execution result -that follows the graphql specification. - -There is a helpful shortcut in graphql-java to create asynchronous data fetchers. -Use ``graphql.schema.AsyncDataFetcher.async(DataFetcher)`` to wrap a -``DataFetcher``. This can be used with static imports to produce more readable code. - -```java -DataFetcher userDataFetcher = async(environment -> fetchUserViaHttp(environment.getArgument("userId"))); - -``` - -## Execution Strategies - -A class derived from ``graphql.execution.ExecutionStrategy`` is used to run a query or mutation. A number of different -strategies are provided with graphql-java and if you are really keen you can even write your own. - -You can wire in what execution strategy to use when you create the ``GraphQL`` object. - -```java -GraphQL.newGraphQL(schema) - .queryExecutionStrategy(new AsyncExecutionStrategy()) - .mutationExecutionStrategy(new AsyncSerialExecutionStrategy()) - .build(); -``` - -In fact the code above is equivalent to the default settings and is a very sensible choice of execution -strategies for most cases. - -## AsyncExecutionStrategy - -By default the "query" execution strategy is ``graphql.execution.AsyncExecutionStrategy`` which will dispatch -each field as ``CompletableFuture`` objects and not care which ones complete first. This strategy allows for the most -performant execution. - -The data fetchers invoked can themselves return ``CompletionStage`` values and this will create -fully asynchronous behaviour. - -So imagine a query as follows - -```graphql -query { - hero { - enemies { - name - } - friends { - name - } - } -} -``` - -The ``AsyncExecutionStrategy`` is free to dispatch the *enemies* field at the same time as the *friends* field. It does not -have to do *enemies* first followed by *friends*, which would be less efficient. - -It will however assemble the results in order. The query result will follow the graphql specification and return object values -assembled in query field order. Only the execution of data fetching is free to be in any order. - -This behaviour is allowed in the graphql specification and in fact is actively encouraged http://facebook.github.io/graphql/#sec-Query -for read only queries. - -See `specification `_ for details. - -## AsyncSerialExecutionStrategy - -The graphql specification says that mutations MUST be executed serially and in the order in which the -query fields occur. - -So ``graphql.execution.AsyncSerialExecutionStrategy`` is used by default for mutations and will ensure that each -field is completed before it processes the next one and so forth. You can still return ``CompletionStage`` objects -in the mutation data fetchers, however they will be executed serially and will be completed before the next -mutation field data fetcher is dispatched. - -## SubscriptionExecutionStrategy - -Graphql subscriptions allows you to create stateful subscriptions to graphql data. You uses ``SubscriptionExecutionStrategy`` -as your execution strategy as it has the support for the reactive-streams APIs. - -See http://www.reactive-streams.org/ for more information on the reactive ``Publisher`` and ``Subscriber`` interfaces. - -Also see the page on [subscriptions](subscriptions.md) for more details on how to write a subscription based graphql service. - -## Query Caching - -Before the ``graphql-java`` engine executes a query it must be parsed and validated, and this process can be somewhat time consuming. - -To avoid the need for re-parse/validate the ``GraphQL.Builder`` allows an instance of ``PreparsedDocumentProvider`` to reuse ``Document`` instances. - -Please note that this does not cache the result of the query, only the parsed ``Document``. - -```java -Cache cache = Caffeine.newBuilder().maximumSize(10_000).build(); (1) - -PreparsedDocumentProvider preparsedCache = new PreparsedDocumentProvider() { - @Override - public CompletableFuture getDocumentAsync(ExecutionInput executionInput, Function computeFunction) { - Function mapCompute = key -> computeFunction.apply(executionInput); - return CompletableFuture.completedFuture(cache.get(executionInput.getQuery(), mapCompute)); - } -}; - -GraphQL graphQL = GraphQL.newGraphQL(StarWarsSchema.starWarsSchema) - .preparsedDocumentProvider(preparsedCache) (2) - .build(); -``` - -1. Create an instance of preferred cache instance, here is `Caffeine `_ used as it is a high quality caching solution. The cache instance should be -thread safe and shared. -2. The ``PreparsedDocumentProvider`` is a functional interface with only a getDocument method This is called to get a ``cached`` pre-parsed query and if its not present, then the computeFunction can be called to parse and validate the query. - - -In order to achieve high cache hit ratio it is recommended that field arguments are passed in as variables instead of directly in the query. - -The following query: - -```graphql -query HelloTo { - sayHello(to: "Me") { - greeting - } -} -``` - -Should be rewritten as: - -```graphql -query HelloTo($to: String!) { - sayHello(to: $to) { - greeting - } -} -``` -with variables: -```json -{ - "to": "Me" -} -``` - -The query is now reused regardless of variable values provided. diff --git a/documentation/field-selection.md b/documentation/field-selection.md deleted file mode 100644 index 4681cde..0000000 --- a/documentation/field-selection.md +++ /dev/null @@ -1,93 +0,0 @@ ---- -title: "Field selection" -date: 2018-09-09T12:52:46+10:00 -description: How you can efficiently look ahead at the selected fields lower in the query ---- -# Field Selection - -Field selection occurs when you have a compound type (an object or interface type) and you select a set of sub fields -from that type. - -For example given the following query : - -```graphql -query { - user(userId : "xyz") { - name - age - weight - friends { - name - } - } -} -``` - -The field selection set of the ``user`` field is ``name``, ``age``, ``weight``, ``friends`` and ``friends/name`` - -Knowing the field selection set can help make ``DataFetcher``s more efficient. For example in the above query -imagine that the ``user`` field is backed by an SQL database system. The data fetcher could look ahead into the field selection -set and use different queries because it knows the caller wants friend information as well as user information. - -``graphql.schema.DataFetchingFieldSelectionSet`` is used to represent this field selection set. It gives you maps -of the fields and their ``graphql.schema.GraphQLFieldDefinition``s and argument values. - -```java -DataFetcher smartUserDF = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment env) { - String userId = env.getArgument("userId"); - - DataFetchingFieldSelectionSet selectionSet = env.getSelectionSet(); - if (selectionSet.contains("friends/*")) { - return getUserAndTheirFriends(userId); - } else { - return getUser(userId); - } - } -}; -``` - -A glob path matching system is used for addressing fields in the selection. Its based on ``java.nio.file.FileSystem#getPathMatcher`` -as an implementation. - -This will allow you to use ``*``, ``**`` and ``?`` as special matching characters such that ``invoice/customer*`` would -match an ``invoice`` field with child fields that start with ``customer``. Each level of field is separated by ``/`` just like -a file system path. - -There are methods that allow you to get more detailed information about the fields in the selection set. For example -if you are using [Relay](https://facebook.github.io/relay/docs/en/graphql-server-specification.html) often you want to know what fields have -been request in the ``Connection`` section of the query. - -So given a query like: - -```graphql -query { - users(first:10) { - edges { - node { - name - age - weight - friends { - name - } - } - } - } -} -``` - -you can write code that gets the details of each specific field that matches a glob. - -```java -DataFetchingFieldSelectionSet selectionSet = env.getSelectionSet(); -List nodeFields = selectionSet.getFields("edges/nodes/*"); -nodeFields.forEach(selectedField -> { - System.out.println(selectedField.getName()); - System.out.println(selectedField.getFieldDefinition().getType()); - - DataFetchingFieldSelectionSet innerSelectionSet = selectedField.getSelectionSet(); - // this forms a tree of selection and you can get very fancy with it -} -``` diff --git a/documentation/field-visibility.md b/documentation/field-visibility.md deleted file mode 100644 index 0dbc8be..0000000 --- a/documentation/field-visibility.md +++ /dev/null @@ -1,78 +0,0 @@ ---- -title: "Field visibility" -date: 2019-02-12T12:00:00+10:00 -description: How control the visibility of the fields defined in a schema ---- - -# Limiting Field Visibility - -By default every field defined in a `GraphqlSchema` is available. There are cases where you may want to restrict certain fields -depending on the user. - -You can do this by using a `graphql.schema.visibility.GraphqlFieldVisibility` implementation and attaching it to the schema. - -A simple `graphql.schema.visibility.BlockedFields` implementation based on fully qualified field name is provided. - -```java -GraphqlFieldVisibility blockedFields = BlockedFields.newBlock() - .addPattern("Character.id") - .addPattern("Droid.appearsIn") - .addPattern(".*\\.hero") // it uses regular expressions - .build(); -GraphQLCodeRegistry codeRegistry = GraphQLCodeRegistry.newCodeRegistry() - .fieldVisibility(blockedFields) - .build(); - -GraphQLSchema schema = GraphQLSchema.newSchema() - .query(StarWarsSchema.queryType) - .codeRegistry(codeRegistry) - .build(); -``` - -There is also another implementation that prevents instrumentation from being able to be performed on your schema, if that is a requirement. - -Note that this puts your server in contravention of the graphql specification and expectations of most clients so use this with caution. - -```java -GraphQLCodeRegistry codeRegistry = GraphQLCodeRegistry.newCodeRegistry() - .fieldVisibility(NoIntrospectionGraphqlFieldVisibility.NO_INTROSPECTION_FIELD_VISIBILITY) - .build(); -GraphQLSchema schema = GraphQLSchema.newSchema() - .query(StarWarsSchema.queryType) - .codeRegistry(codeRegistry) - .build(); -``` - -You can create your own derivation of `GraphqlFieldVisibility` to check what ever you need to do to work out what fields -should be visible or not. - -```java -class CustomFieldVisibility implements GraphqlFieldVisibility { - - final YourUserAccessService userAccessService; - - CustomFieldVisibility(YourUserAccessService userAccessService) { - this.userAccessService = userAccessService; - } - - @Override - public List getFieldDefinitions(GraphQLFieldsContainer fieldsContainer) { - if ("AdminType".equals(fieldsContainer.getName())) { - if (!userAccessService.isAdminUser()) { - return Collections.emptyList(); - } - } - return fieldsContainer.getFieldDefinitions(); - } - - @Override - public GraphQLFieldDefinition getFieldDefinition(GraphQLFieldsContainer fieldsContainer, String fieldName) { - if ("AdminType".equals(fieldsContainer.getName())) { - if (!userAccessService.isAdminUser()) { - return null; - } - } - return fieldsContainer.getFieldDefinition(fieldName); - } -} -``` diff --git a/documentation/getting-started.mdx b/documentation/getting-started.mdx deleted file mode 100644 index a8deeaf..0000000 --- a/documentation/getting-started.mdx +++ /dev/null @@ -1,147 +0,0 @@ ---- -sidebar_position: 1 -title: "Getting started" -date: 2018-09-09T12:52:46+10:00 -description: GraphQL basics. Start here if you're new to GraphQL :-) ---- - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - -# Getting started - -`graphql-java` requires at least [Java 11](https://www.graphql-java.com/blog/java-11-required). - -## How to use the latest release with Gradle - -Make sure `mavenCentral` is among your repos: - - - - -```groovy -repositories { - mavenCentral() -} - -dependencies { - implementation 'com.graphql-java:graphql-java:23.0' -} -``` - - - - -```kotlin -repositories { - mavenCentral() -} - -dependencies { - implementation("com.graphql-java:graphql-java:23.0") -} -``` - - - -## How to use the latest release with Maven - -Dependency: -```xml - - com.graphql-java - graphql-java - 23.0 - -``` - -## Hello World - -This is the famous "hello world" in `graphql-java`: - -```java -import graphql.ExecutionResult; -import graphql.GraphQL; -import graphql.schema.GraphQLSchema; -import graphql.schema.StaticDataFetcher; -import graphql.schema.idl.RuntimeWiring; -import graphql.schema.idl.SchemaGenerator; -import graphql.schema.idl.SchemaParser; -import graphql.schema.idl.TypeDefinitionRegistry; - -import static graphql.schema.idl.RuntimeWiring.newRuntimeWiring; - -public class HelloWorld { - - public static void main(String[] args) { - String schema = "type Query{hello: String}"; - - SchemaParser schemaParser = new SchemaParser(); - TypeDefinitionRegistry typeDefinitionRegistry = schemaParser.parse(schema); - - RuntimeWiring runtimeWiring = newRuntimeWiring() - .type("Query", builder -> builder.dataFetcher("hello", new StaticDataFetcher("world"))) - .build(); - - SchemaGenerator schemaGenerator = new SchemaGenerator(); - GraphQLSchema graphQLSchema = schemaGenerator.makeExecutableSchema(typeDefinitionRegistry, runtimeWiring); - - GraphQL build = GraphQL.newGraphQL(graphQLSchema).build(); - ExecutionResult executionResult = build.execute("{hello}"); - - System.out.println(executionResult.getData().toString()); - // Prints: {hello=world} - } -} -``` - -## Using the latest development build - -The latest development build is available on Maven Central. - -Please look at the [latest build](https://search.maven.org/artifact/com.graphql-java/graphql-java) for the -latest version value. - -### How to use the latest build with Gradle - -Add the repository and dependency: - - - - -```groovy -repositories { - mavenCentral() -} - -dependencies { - implementation 'com.graphql-java:graphql-java:INSERT_LATEST_VERSION_HERE' -} -``` - - - - -```kotlin -repositories { - mavenCentral() -} - -dependencies { - implementation("com.graphql-java:graphql-java:INSERT_LATEST_VERSION_HERE") -} -``` - - - -### How to use the latest build with Maven - -Dependency: - -```xml - - com.graphql-java - graphql-java - INSERT_LATEST_VERSION_HERE - -``` diff --git a/documentation/instrumentation.md b/documentation/instrumentation.md deleted file mode 100644 index c59cc0e..0000000 --- a/documentation/instrumentation.md +++ /dev/null @@ -1,350 +0,0 @@ ---- -title: "Instrumentation" -date: 2018-09-09T12:52:46+10:00 -description: Instrumentation allows you to inject code that can observe the execution of a query and also change the runtime behaviours ---- -# Instrumentation - -The ``graphql.execution.instrumentation.Instrumentation`` interface allows you to inject code that can observe the -execution of a query and also change the runtime behaviour. - -The primary use case for this is to allow say performance monitoring and custom logging, but it could be used for many purposes. - -When you build the ``Graphql`` object you can specify what ``Instrumentation`` to use (if any). - -```java -GraphQL.newGraphQL(schema) - .instrumentation(new TracingInstrumentation()) - .build(); -``` - -## Custom Instrumentation - -An implementation of ``Instrumentation`` needs to implement the "begin" step methods that represent the execution of a graphql query. - -Each step must give back a non-null ``graphql.execution.instrumentation.InstrumentationContext`` object which will be called back -when the step completes, and will be told that it succeeded or failed with a Throwable. - -The following is a basic custom ``Instrumentation`` that measures overall execution time and puts it into a stateful object. - -```java -class CustomInstrumentationState implements InstrumentationState { - private Map anyStateYouLike = new HashMap<>(); - - void recordTiming(String key, long time) { - anyStateYouLike.put(key, time); - } -} - -class CustomInstrumentation extends SimplePerformantInstrumentation { - @Override - public InstrumentationState createState() { - // - // instrumentation state is passed during each invocation of an Instrumentation method - // and allows you to put stateful data away and reference it during the query execution - // - return new CustomInstrumentationState(); - } - - @Override - public @Nullable InstrumentationContext beginExecution(InstrumentationExecutionParameters parameters, InstrumentationState state) { - long startNanos = System.nanoTime(); - return new SimpleInstrumentationContext() { - @Override - public void onCompleted(ExecutionResult result, Throwable t) { - ((CustomInstrumentationState) state).recordTiming(parameters.getQuery(), System.nanoTime() - startNanos); - } - }; - } - - @Override - public @NotNull DataFetcher instrumentDataFetcher(DataFetcher dataFetcher, InstrumentationFieldFetchParameters parameters, InstrumentationState state) { - // - // this allows you to intercept the data fetcher used to fetch a field and provide another one, perhaps - // that enforces certain behaviours or has certain side effects on the data - // - return dataFetcher; - } - - @Override - public @NotNull CompletableFuture instrumentExecutionResult(ExecutionResult executionResult, InstrumentationExecutionParameters parameters, InstrumentationState state) { - // - // this allows you to instrument the execution result somehow. For example the Tracing support uses this to put - // the `extensions` map of data in place - // - return CompletableFuture.completedFuture(executionResult); - } -} -``` - -## Chaining Instrumentation - -You can combine multiple ``Instrumentation`` objects together using the ``graphql.execution.instrumentation.ChainedInstrumentation`` class which -accepts a list of ``Instrumentation`` objects and calls them in that defined order. - -```java -List chainedList = new ArrayList<>(); -chainedList.add(new FooInstrumentation()); -chainedList.add(new BarInstrumentation()); -ChainedInstrumentation chainedInstrumentation = new ChainedInstrumentation(chainedList); - -GraphQL.newGraphQL(schema) - .instrumentation(chainedInstrumentation) - .build(); -``` - -## Apollo Tracing Instrumentation - -``graphql.execution.instrumentation.tracing.TracingInstrumentation`` is an ``Instrumentation`` implementation that creates tracing information -about the query that is being executed. - -It follows the Apollo proposed tracing format defined at [https://github.com/apollographql/apollo-tracing](https://github.com/apollographql/apollo-tracing). - -A detailed tracing map will be created and placed in the ``extensions`` section of the result. - -So given a query like - -```graphql -query { - hero { - name - friends { - name - } - } -} -``` - -It would return a result like - -```json -{ - "data": { - "hero": { - "name": "R2-D2", - "friends": [ - { - "name": "Luke Skywalker" - }, - { - "name": "Han Solo" - }, - { - "name": "Leia Organa" - } - ] - } - }, - "extensions": { - "tracing": { - "version": 1, - "startTime": "2017-08-14T23:13:39.362Z", - "endTime": "2017-08-14T23:13:39.497Z", - "duration": 135589186, - "execution": { - "resolvers": [ - { - "path": [ - "hero" - ], - "parentType": "Query", - "returnType": "Character", - "fieldName": "hero", - "startOffset": 105697585, - "duration": 79111240 - }, - { - "path": [ - "hero", - "name" - ], - "parentType": "Droid", - "returnType": "String", - "fieldName": "name", - "startOffset": 125010028, - "duration": 20213 - }, - { - "path": [ - "hero", - "friends" - ], - "parentType": "Droid", - "returnType": "[Character]", - "fieldName": "friends", - "startOffset": 133352819, - "duration": 7927560 - }, - { - "path": [ - "hero", - "friends", - 0, - "name" - ], - "parentType": "Human", - "returnType": "String", - "fieldName": "name", - "startOffset": 134105887, - "duration": 6783 - }, - { - "path": [ - "hero", - "friends", - 1, - "name" - ], - "parentType": "Human", - "returnType": "String", - "fieldName": "name", - "startOffset": 134725922, - "duration": 7016 - }, - { - "path": [ - "hero", - "friends", - 2, - "name" - ], - "parentType": "Human", - "returnType": "String", - "fieldName": "name", - "startOffset": 134875089, - "duration": 6342 - } - ] - } - } - } -} - -``` - -## Field Validation Instrumentation - -``graphql.execution.instrumentation.fieldvalidation.FieldValidationInstrumentation`` is an ``Instrumentation`` implementation that -can be used to validate fields and their arguments before query execution. If errors are returned during this process then -the query execution is aborted and the errors will be in the query result. - -You can make you own custom implementation of ``FieldValidation`` or you can use the ``SimpleFieldValidation`` class -to add simple per field checks rules. - -```java -ExecutionPath fieldPath = ExecutionPath.parse("/user"); -FieldValidation fieldValidation = new SimpleFieldValidation() - .addRule(fieldPath, new BiFunction>() { - @Override - public Optional apply(FieldAndArguments fieldAndArguments, FieldValidationEnvironment environment) { - String nameArg = fieldAndArguments.getFieldArgument("name"); - if (nameArg.length() > 255) { - return Optional.of(environment.mkError("Invalid user name", fieldAndArguments)); - } - return Optional.empty(); - } - }); - -FieldValidationInstrumentation instrumentation = new FieldValidationInstrumentation( - fieldValidation -); - -GraphQL.newGraphQL(schema) - .instrumentation(instrumentation) - .build(); -``` - -## Query Complexity Instrumentation - -``graphql.analysis.MaxQueryComplexityInstrumentation`` in an ``Instrumentation`` implementation than can be used to abort a query if the total number of data -fields queried exceeds the defined limit. - -```java -GraphQL.newGraphQL(schema) - .instrumentation(new MaxQueryComplexityInstrumentation(10)) - .build(); -``` - -With a query like: - -```graphql -query { - hero { - name - friends { - name - homeWorld { - name - climate - } - species { - name - } - } - homeWorld { - name - climate - } - } -} -``` - -Would return a result like: - -```json -{ - "errors": [ - { - "message": "maximum query complexity exceeded 12 > 10", - "extensions": { - "classification": "ExecutionAborted" - } - } - ] -} -``` - -## Query Depth Instrumentation - -``graphql.analysis.MaxQueryDepthInstrumentation`` in an ``Instrumentation`` implementation than can be used to abort a query if the total depth of -the query exceeds the defined limit. - -```java -GraphQL.newGraphQL(schema) - .instrumentation(new MaxQueryDepthInstrumentation(4)) - .build(); -``` - -With a query like: - -```graphql - query { - hero { - name - friends { - name - friends { - name - friends { - name - } - } - } - } - } -``` - -Would return a result like: - -```json -{ - "errors": [ - { - "message": "maximum query depth exceeded 4 > 3", - "extensions": { - "classification": "ExecutionAborted" - } - } - ] -} -``` diff --git a/documentation/limits.md b/documentation/limits.md deleted file mode 100644 index 556b127..0000000 --- a/documentation/limits.md +++ /dev/null @@ -1,52 +0,0 @@ ---- -title: "Limits" -date: 2024-11-24T10:00:00+10:00 -description: Configuring limits to prevent DoS attacks ---- -# Limits in graphql-java to Prevent DoS Attacks - -graphql-java provides configurable options to limit the potential for Denial of Service (DoS) attacks through excessive query complexity or size. Defaults for all these limits have been already set. - -## Parser Level Limits -At the parser level, graphql-java offers several options to restrict the amount of work the query parser will perform. See `graphql.parser.ParserOptions`. - -**Maximum Query Characters:** Limits the number of characters in a query to prevent excessive parsing time and memory usage. The default is set to 1MB. - -```java -public static final int MAX_QUERY_CHARACTERS = 1024 * 1024; // 1 MB -``` - -**Maximum Query Tokens:** Restricts the number of tokens in a query to prevent excessive CPU usage. The default is set to 15,000 tokens. - -```java -public static final int MAX_QUERY_TOKENS = 15_000; -``` - -**Maximum Whitespace Tokens:** Limits the amount of whitespace in a query to prevent unnecessary parsing overhead. The default is set to 200,000 whitespace tokens. - -```java -public static final int MAX_WHITESPACE_TOKENS = 200_000; -``` - -**Maximum Rule Depth:** Restricts the depth of grammar rules in a query to prevent stack overflow exceptions. The default is set to 500. - -```java -public static final int MAX_RULE_DEPTH = 500; -``` - -## Introspection Query Limits -graphql-java includes measures to limit introspection queries: - -**GoodFaithIntrospection:** Ensures introspection queries remain under a reasonable size. - -```java -public static final int GOOD_FAITH_MAX_FIELDS_COUNT = 500; -public static final int GOOD_FAITH_MAX_DEPTH_COUNT = 20; -``` - -## Instrumentation -Beyond parser level limits, graphql-java provides instrumentation to manage query complexity: - -**MaxQueryComplexityInstrumentation:** Limits the complexity of a query to prevent excessive resource usage. [See example on the Instrumentation page](/documentation/master/instrumentation#query-complexity-instrumentation). - -**MaxQueryDepthInstrumentation:** Limits the depth of a query to prevent overly complex queries. [See example on the Instrumentation page](/documentation/master/instrumentation#query-depth-instrumentation) diff --git a/documentation/relay.md b/documentation/relay.md deleted file mode 100644 index 64e1609..0000000 --- a/documentation/relay.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -title: "Relay" -date: 2018-09-09T12:52:46+10:00 -description: graphql-java has support for Relay ---- -# Relay Support - -Very basic support for [Relay](https://github.com/facebook/relay) is included. - -Please look at [https://github.com/graphql-java/todomvc-relay-java](https://github.com/graphql-java/todomvc-relay-java) for a full example project. - -Relay sends queries to the GraphQL server as JSON containing a ``query`` field and a ``variables`` field. The ``query`` field is a JSON string, -and the ``variables`` field is a map of variable definitions. A relay-compatible server will need to parse this JSON and pass the ``query`` -string to this library as the query and the ``variables`` map as the third argument to ``execute`` as shown below. - -```java -@RequestMapping(value = "/graphql", method = RequestMethod.POST, produces = MediaType.APPLICATION_JSON_VALUE) -@ResponseBody -public Object executeOperation(@RequestBody Map body) { - String query = (String) body.get("query"); - Map variables = (Map) body.get("variables"); - if (variables == null) { - variables = new LinkedHashMap<>(); - } - ExecutionResult executionResult = graphql.execute(query, (Object) null, variables); - Map result = new LinkedHashMap<>(); - if (executionResult.getErrors().size() > 0) { - result.put("errors", executionResult.getErrors()); - log.error("Errors: {}", executionResult.getErrors()); - } - result.put("data", executionResult.getData()); - return result; -} -``` - -## Apollo Support - -There is no special support for [Apollo](https://github.com/apollographql/apollo-client) included: Apollo works with any schema. - -The Controller example shown above works with Apollo too. diff --git a/documentation/scalars.md b/documentation/scalars.md deleted file mode 100644 index 55ddf3e..0000000 --- a/documentation/scalars.md +++ /dev/null @@ -1,179 +0,0 @@ ---- -title: "Scalars" -date: 2024-01-11 -description: How scalar types work in graphql and how to write your own scalars ---- -# Scalars in GraphQL - -## Scalars - -The leaf nodes of the GraphQL type system are called scalars. Once you reach a scalar type, you -cannot descend any further into the type hierarchy. A scalar type is meant to represent -an indivisible value. - -The [GraphQL specification](https://spec.graphql.org/draft/#sec-Scalars) states that all implementations must have the following scalar types: - -* String aka ``GraphQLString`` - A UTF‐8 character sequence. -* Boolean aka ``GraphQLBoolean`` - true or false. -* Int aka ``GraphQLInt`` - A signed 32‐bit integer. -* Float aka ``GraphQLFloat`` - A signed double-precision floating-point value. -* ID aka ``GraphQLID`` - A unique identifier which is serialized in the same way as a String. However, defining it as an ID signifies that it is not intended to be human‐readable. - -The class ``graphql.Scalars`` contains singleton instances of the provided scalar types. - -[graphql-java-extended-scalars](https://github.com/graphql-java/graphql-java-extended-scalars) adds many more scalars, including the following which are useful in Java based systems: - -* Long aka ``GraphQLLong`` - a java.lang.Long based scalar -* Short aka ``GraphQLShort`` - a java.lang.Short based scalar -* Byte aka ``GraphQLByte`` - a java.lang.Byte based scalar -* BigDecimal aka ``GraphQLBigDecimal`` - a java.math.BigDecimal based scalar -* BigInteger aka ``GraphQLBigInteger`` - a java.math.BigInteger based scalar - -See the [documentation](https://github.com/graphql-java/graphql-java-extended-scalars) for how to use Extended Scalars. - -## Writing your own Custom Scalars - -If the scalar you want isn't in a library, you can also write your own custom scalar implementation. In doing so you take on the responsibility for coercing values -at runtime, which we will explain in a moment. - -Imagine we decide we need to have an email scalar type. It will take email addresses as input and output. - -We would create a singleton ``graphql.schema.GraphQLScalarType`` instance for this. - -```java -public static final GraphQLScalarType EMAIL = GraphQLScalarType.newScalar() - .name("email") - .description("A custom scalar that handles emails") - .coercing(new Coercing() { - @Override - public Object serialize(Object dataFetcherResult, GraphQLContext graphQLContext, Locale locale) { - return serializeEmail(dataFetcherResult); - } - - @Override - public Object parseValue(Object input, GraphQLContext graphQLContext, Locale locale) { - return parseEmailFromVariable(input); - } - - @Override - public Object parseLiteral(Value input, CoercedVariables variables, GraphQLContext graphQLContext, Locale locale) { - return parseEmailFromAstLiteral(input); - } - }) - .build(); -``` - -## Coercing values - -The real work in any custom scalar implementation is the ``graphql.schema.Coercing`` implementation. This is responsible for 3 functions: - -* ``parseValue`` - takes a variable input object and converts into the Java runtime representation -* ``parseLiteral`` - takes an AST literal ``graphql.language.Value`` as input and converts into the Java runtime representation -* ``serialize`` - takes a Java object and converts it into the output shape for that scalar - -So your custom scalar code has to handle 2 forms of input (`parseValue` / `parseLiteral`) and 1 form of output (`serialize`). - -Imagine this query, which uses variables, AST literals and outputs our scalar type ``email``. - -```graphql -mutation Contact($mainContact: Email!) { - makeContact(mainContactEmail: $mainContact, backupContactEmail: "backup@company.com") { - id - mainContactEmail - } -} -``` - -Our custom Email scalar will: - -* be called via ``parseValue`` to convert the ``$mainContact`` variable value into a runtime object -* be called via ``parseLiteral`` to convert the AST ``graphql.language.StringValue`` "backup@company.com" into a runtime object -* be called via ``serialize`` to turn the runtime representation of mainContactEmail into a form ready for output - -## Validation of input and output - -The methods can validate that the received input makes sense. For example our email scalar will try to validate that the input -and output are indeed email addresses. - -The JavaDoc method contract of ``graphql.schema.Coercing`` says the following: - -* The ``serialize`` MUST ONLY allow ``graphql.schema.CoercingSerializeException`` to be thrown from it. This indicates that the -value cannot be serialized into an appropriate form. You must not allow other runtime exceptions to escape this method to get -the normal graphql behaviour for validation. - -* The ``parseValue`` MUST ONLY allow ``graphql.schema.CoercingParseValueException`` to be thrown from it. This indicates that the -value cannot be parsed as input into an appropriate form. You must not allow other runtime exceptions to escape this method to get -the normal graphql behaviour for validation. - -* The ``parseLiteral`` MUST ONLY allow ``graphql.schema.CoercingParseLiteralException`` to be thrown from it. This indicates that the -AST value cannot be parsed as input into an appropriate form. You must not allow any runtime exceptions to escape this method to get -the normal graphql behaviour for validation. - -Some people try to rely on runtime exceptions for validation and hope that they come out as graphql errors. This is not the case. You -MUST follow the ``Coercing`` method contracts to allow the graphql-java engine to work according to the graphql specification on scalar types. - -## Example implementation - -The following is a really rough implementation of our imagined ``email`` scalar type to show you how one might implement the ``Coercing`` methods. - -```java -public static class EmailScalar { - - public static final GraphQLScalarType EMAIL = GraphQLScalarType.newScalar() - .name("email") - .description("A custom scalar that handles emails") - .coercing(new Coercing() { - @Override - public Object serialize(Object dataFetcherResult, GraphQLContext graphQLContext, Locale locale) { - return serializeEmail(dataFetcherResult); - } - - @Override - public Object parseValue(Object input, GraphQLContext graphQLContext, Locale locale) { - return parseEmailFromVariable(input); - } - - @Override - public Object parseLiteral(Value input, CoercedVariables variables, GraphQLContext graphQLContext, Locale locale) { - return parseEmailFromAstLiteral(input); - } - }) - .build(); - - private static boolean looksLikeAnEmailAddress(String possibleEmailValue) { - // ps. I am not trying to replicate RFC-3696 clearly - return Pattern.matches("[A-Za-z0-9]@[.*]", possibleEmailValue); - } - - private static Object serializeEmail(Object dataFetcherResult) { - String possibleEmailValue = String.valueOf(dataFetcherResult); - if (looksLikeAnEmailAddress(possibleEmailValue)) { - return possibleEmailValue; - } else { - throw new CoercingSerializeException("Unable to serialize " + possibleEmailValue + " as an email address"); - } - } - - private static Object parseEmailFromVariable(Object input) { - if (input instanceof String) { - String possibleEmailValue = input.toString(); - if (looksLikeAnEmailAddress(possibleEmailValue)) { - return possibleEmailValue; - } - } - throw new CoercingParseValueException("Unable to parse variable value " + input + " as an email address"); - } - - private static Object parseEmailFromAstLiteral(Object input) { - if (input instanceof StringValue) { - String possibleEmailValue = ((StringValue) input).getValue(); - if (looksLikeAnEmailAddress(possibleEmailValue)) { - return possibleEmailValue; - } - } - throw new CoercingParseLiteralException( - "Value is not any email address : '" + String.valueOf(input) + "'" - ); - } -} -``` diff --git a/documentation/schema.md b/documentation/schema.md deleted file mode 100644 index e2ae934..0000000 --- a/documentation/schema.md +++ /dev/null @@ -1,630 +0,0 @@ ---- -title: "Schema" -date: 2021-07-03T12:52:46+10:00 -description: Your GraphQL API has a schema which defines each field that can be queried or - mutated and what types those fields are. ---- - -# Creating a schema - -Your GraphQL API has a schema which defines each field that can be queried or mutated and what types those fields are. - -``graphql-java`` offers two different ways of defining the schema: Programmatically as Java code or via a special -graphql dsl (called SDL). - -If you are unsure which option to use we recommend the SDL. - -SDL example: - -```graphql -type Foo { - bar: String -} -``` - -Java code example: - -```java -GraphQLObjectType fooType = newObject() - .name("Foo") - .field(newFieldDefinition() - .name("bar") - .type(GraphQLString)) - .build(); -``` - -## DataFetcher and TypeResolver - -A ``DataFetcher`` provides the data for a field (and changes something, if it is a mutation). - -Every field definition has a ``DataFetcher``. When one is not configured, a -[PropertyDataFetcher](https://github.com/graphql-java/graphql-java/blob/master/src/main/java/graphql/schema/PropertyDataFetcher.java) -is used. - -``PropertyDataFetcher`` fetches data from ``Map`` and Java Beans. So when the field name matches the Map key or the -property name of the source Object, no ``DataFetcher`` is needed. - -A ``TypeResolver`` helps ``graphql-java`` to decide which type a concrete value belongs to. This is needed -for ``Interface`` and ``Union``. - -For example imagine you have an ``Interface`` called *MagicUserType* which resolves back to a series of Java classes -called *Wizard*, *Witch* and *Necromancer*. The type resolver is responsible for examining a runtime object and deciding -what ``GraphqlObjectType`` should be used to represent it, and hence what data fetchers and fields will be invoked. - -```java -new TypeResolver() { - @Override - public GraphQLObjectType getType(TypeResolutionEnvironment env) { - Object javaObject = env.getObject(); - if (javaObject instanceof Wizard) { - return env.getSchema().getObjectType("WizardType"); - } else if (javaObject instanceof Witch) { - return env.getSchema().getObjectType("WitchType"); - } else { - return env.getSchema().getObjectType("NecromancerType"); - } - } -}; -``` - -## Creating a schema using the SDL - -When defining a schema via SDL, you provide the needed ``DataFetcher`` s and ``TypeResolver`` s when the executable -schema is created. - -Take for example the following static schema definition file called ``starWarsSchema.graphqls``: - -```graphql -schema { - query: QueryType -} - -type QueryType { - hero(episode: Episode): Character - human(id : String) : Human - droid(id: ID!): Droid -} - - -enum Episode { - NEWHOPE - EMPIRE - JEDI -} - -interface Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! -} - -type Human implements Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! - homePlanet: String -} - -type Droid implements Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! - primaryFunction: String -} -``` - -The static schema definition file ``starWarsSchema.graphqls`` contains the field and type definitions, but you need a -runtime wiring to make it a truly executable schema. - -The runtime wiring contains ``DataFetcher`` s, ``TypeResolvers`` s and custom ``Scalar`` s that are needed to make a -fully executable schema. - -You wire this together using this builder pattern: - -```java -RuntimeWiring buildRuntimeWiring() { - return RuntimeWiring.newRuntimeWiring() - .scalar(CustomScalar) - // this uses builder function lambda syntax - .type("QueryType", typeWiring -> typeWiring - .dataFetcher("hero", new StaticDataFetcher(StarWarsData.getArtoo())) - .dataFetcher("human", StarWarsData.getHumanDataFetcher()) - .dataFetcher("droid", StarWarsData.getDroidDataFetcher()) - ) - .type("Human", typeWiring -> typeWiring - .dataFetcher("friends", StarWarsData.getFriendsDataFetcher()) - ) - // you can use builder syntax if you don't like the lambda syntax - .type("Droid", typeWiring -> typeWiring - .dataFetcher("friends", StarWarsData.getFriendsDataFetcher()) - ) - // or full builder syntax if that takes your fancy - .type( - newTypeWiring("Character") - .typeResolver(StarWarsData.getCharacterTypeResolver()) - .build() - ) - .build(); -} -``` - -Finally, you can generate an executable schema by combining the static schema and the wiring together as shown in this -example: - -```java -SchemaParser schemaParser = new SchemaParser(); -SchemaGenerator schemaGenerator = new SchemaGenerator(); - -File schemaFile = loadSchema("starWarsSchema.graphqls"); - -TypeDefinitionRegistry typeRegistry = schemaParser.parse(schemaFile); -RuntimeWiring wiring = buildRuntimeWiring(); -GraphQLSchema graphQLSchema = schemaGenerator.makeExecutableSchema(typeRegistry, wiring); -``` - -In addition to the builder style shown above, ``TypeResolver`` s and ``DataFetcher`` s can also be wired in using the -``WiringFactory`` interface. This allows for a more dynamic runtime wiring since the SDL definitions can be examined in -order to decide what to wire in. You could for example look at SDL directives, or some other aspect of the SDL -definition to help you decide what runtime to create. - -```java -RuntimeWiring buildDynamicRuntimeWiring() { - WiringFactory dynamicWiringFactory = new WiringFactory() { - @Override - public boolean providesTypeResolver(TypeDefinitionRegistry registry, InterfaceTypeDefinition definition) { - return getDirective(definition,"specialMarker") != null; - } - - @Override - public boolean providesTypeResolver(TypeDefinitionRegistry registry, UnionTypeDefinition definition) { - return getDirective(definition,"specialMarker") != null; - } - - @Override - public TypeResolver getTypeResolver(TypeDefinitionRegistry registry, InterfaceTypeDefinition definition) { - Directive directive = getDirective(definition,"specialMarker"); - return createTypeResolver(definition,directive); - } - - @Override - public TypeResolver getTypeResolver(TypeDefinitionRegistry registry, UnionTypeDefinition definition) { - Directive directive = getDirective(definition,"specialMarker"); - return createTypeResolver(definition,directive); - } - - @Override - public boolean providesDataFetcher(TypeDefinitionRegistry registry, FieldDefinition definition) { - return getDirective(definition,"dataFetcher") != null; - } - - @Override - public DataFetcher getDataFetcher(TypeDefinitionRegistry registry, FieldDefinition definition) { - Directive directive = getDirective(definition, "dataFetcher"); - return createDataFetcher(definition,directive); - } - }; - return RuntimeWiring.newRuntimeWiring() - .wiringFactory(dynamicWiringFactory).build(); -} -``` - -## Creating a schema programmatically - -When the schema is created programmatically ``DataFetcher`` s and ``TypeResolver`` s are provided at type creation: - -Example: - -```java -DataFetcher fooDataFetcher = new DataFetcher() { - @Override - public Foo get(DataFetchingEnvironment environment) { - // environment.getSource() is the value of the surrounding - // object. In this case described by objectType - Foo value = perhapsFromDatabase(); // Perhaps getting from a DB or whatever - return value; - } -}; - -GraphQLObjectType objectType = newObject() - .name("ObjectType") - .field(newFieldDefinition() - .name("foo") - .type(GraphQLString) - ) - .build(); - -GraphQLCodeRegistry codeRegistry = newCodeRegistry() - .dataFetcher( - coordinates("ObjectType", "foo"), - fooDataFetcher) - .build(); -``` - -## Types - -The GraphQL type system supports the following kind of types: - -* Scalar -* Object -* Interface -* Union -* InputObject -* Enum - -### Scalar - -``graphql-java`` supports the following Scalars: - -Standard graphql scalars : - -* ``GraphQLString`` -* ``GraphQLBoolean`` -* ``GraphQLInt`` -* ``GraphQLFloat`` -* ``GraphQLID`` - -Extended graphql-java scalars - -* ``GraphQLLong`` -* ``GraphQLShort`` -* ``GraphQLByte`` -* ``GraphQLFloat`` -* ``GraphQLBigDecimal`` -* ``GraphQLBigInteger`` - -Note that the semantics around the extended scalars might not be understood by your clients. For example mapping a Java -Long (max value 2^63-1) into a JavaScript Number ( max value 2^53 - 1) -may be problematic for you. - -### Object - -SDL Example: - -```graphql -type SimpsonCharacter { - name: String - mainCharacter: Boolean -} -``` - -Java Example: - -```java -GraphQLObjectType simpsonCharacter = newObject() - .name("SimpsonCharacter") - .description("A Simpson character") - .field(newFieldDefinition() - .name("name") - .description("The name of the character.") - .type(GraphQLString)) - .field(newFieldDefinition() - .name("mainCharacter") - .description("One of the main Simpson characters?") - .type(GraphQLBoolean)) - .build(); -``` - -### Interface - -Interfaces are abstract definitions of types. - -SDL Example: - -```graphql -interface ComicCharacter { - name: String -} -``` - -Java Example: - -```java -GraphQLInterfaceType comicCharacter = newInterface() - .name("ComicCharacter") - .description("An abstract comic character.") - .field(newFieldDefinition() - .name("name") - .description("The name of the character.") - .type(GraphQLString)) - .build(); -``` - -### Union - -SDL Example: - -```graphql -type Cat { - name: String - lives: Int -} - -type Dog { - name: String - bonesOwned: Int -} - -union Pet = Cat | Dog -``` - -Java Example: - -```java -TypeResolver typeResolver = new TypeResolver() { - @Override - public GraphQLObjectType getType(TypeResolutionEnvironment env) { - if (env.getObject() instanceof Cat) { - return CatType; - } - if (env.getObject() instanceof Dog) { - return DogType; - } - return null; - } -}; -GraphQLUnionType PetType = newUnionType() - .name("Pet") - .possibleType(CatType) - .possibleType(DogType) - .build(); - -GraphQLCodeRegistry codeRegistry = newCodeRegistry() - .typeResolver("Pet", typeResolver) - .build(); -``` - -### InputObject - -SDL Example: - -```graphql -input Character { - name: String -} -``` - -Java Example: - -```java -GraphQLInputObjectType inputObjectType = newInputObject() - .name("inputObjectType") - .field(newInputObjectField() - .name("field") - .type(GraphQLString)) - .build(); -``` - -### Enum - -SDL Example: - -```graphql -enum Color { - RED - GREEN - BLUE -} -``` - -Java Example: - -```java -GraphQLEnumType colorEnum = newEnum() - .name("Color") - .description("Supported colors.") - .value("RED") - .value("GREEN") - .value("BLUE") - .build(); -``` - -## Type References (recursive types) - -GraphQL supports recursive types: For example a ``Person`` can contain a list of friends of the same type. - -To be able to declare such a type, ``graphql-java`` has a ``GraphQLTypeReference`` class. - -When the schema is created, the ``GraphQLTypeReference`` is replaced with the actual real type Object. - -For example: - -```java -GraphQLObjectType person = newObject() - .name("Person") - .field(newFieldDefinition() - .name("friends") - .type(GraphQLList.list(GraphQLTypeReference.typeRef("Person")))) - .build(); -``` - -When the schema is declared via SDL, no special handling of recursive types is needed as it is detected and done for -you. - -## Modularising the Schema SDL - -Having one large schema file is not always viable. You can modularise you schema using two techniques. - -The first technique is to merge multiple Schema SDL files into one logic unit. In the case below the schema has been -split into multiple files and merged all together just before schema generation. - -```java -SchemaParser schemaParser = new SchemaParser(); -SchemaGenerator schemaGenerator = new SchemaGenerator(); - -File schemaFile1 = loadSchema("starWarsSchemaPart1.graphqls"); -File schemaFile2 = loadSchema("starWarsSchemaPart2.graphqls"); -File schemaFile3 = loadSchema("starWarsSchemaPart3.graphqls"); - -TypeDefinitionRegistry typeRegistry = new TypeDefinitionRegistry(); - -// each registry is merged into the main registry -typeRegistry.merge(schemaParser.parse(schemaFile1)); -typeRegistry.merge(schemaParser.parse(schemaFile2)); -typeRegistry.merge(schemaParser.parse(schemaFile3)); - -GraphQLSchema graphQLSchema = schemaGenerator.makeExecutableSchema(typeRegistry, buildRuntimeWiring()); -``` - -The Graphql SDL type system has another construct for modularising a schema. You can use `type extensions` to add extra -fields and interfaces to a type. - -Imagine you start with a type like this in one schema file. - -```graphql -type Human { - id: ID! - name: String! -} -``` - -Another part of your system can extend this type to add more shape to it. - -```graphql -extend type Human implements Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! -} -``` - -You can have as many extensions as you think sensible. They will be combined in the order in which they are encountered. -Duplicate fields will be merged as one (however field re-definitions into new types are not allowed). - -```graphql -extend type Human { - homePlanet: String -} -``` - -With all these type extensions in place the `Human` type now looks like this at runtime. - -```graphql -type Human implements Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! - homePlanet: String -} -``` - -This is especially useful at the top level. You can use extension types to add new fields to the top level schema " -query". Teams could contribute "sections" on what is being offered as the total graphql query. - -```graphql -schema { - query: CombinedQueryFromMultipleTeams -} - -type CombinedQueryFromMultipleTeams { - createdTimestamp: String -} - -# maybe the invoicing system team puts in this set of attributes -extend type CombinedQueryFromMultipleTeams { - invoicing: Invoicing -} - -# and the billing system team puts in this set of attributes -extend type CombinedQueryFromMultipleTeams { - billing: Billing -} - -# and so and so forth -extend type CombinedQueryFromMultipleTeams { - auditing: Auditing -} -``` - -## Subscription Support - -Subscriptions allow you to perform a query and whenever a backing object for that query changes an updated will be sent. - -```graphql -subscription foo { - # normal graphql query -} -``` - -See the page on [subscriptions](subscriptions.md) for more details - -## Changing Schema - -The `GraphQLSchema` is an immutable object once its is built. To make things more complicated it is in fact an immutable -cyclic graph. - -If you need to change the schema after it has been built then you need to use special API to `transform` it into a new -shape. - -`graphql.schema.SchemaTransformer` is the class that can transform an existing schema into a new one. - -It uses a visitor pattern with "commands" that allow you to insert, update or delete elements in the schema. - -```java -GraphQLTypeVisitorStub visitor = new GraphQLTypeVisitorStub() { - @Override - public TraversalControl visitGraphQLObjectType(GraphQLObjectType objectType, TraverserContext context) { - GraphQLCodeRegistry.Builder codeRegistry = context.getVarFromParents(GraphQLCodeRegistry.Builder.class); - // we need to change __XXX introspection types to have directive extensions - if (someConditionalLogic(objectType)) { - GraphQLObjectType newObjectType = buildChangedObjectType(objectType, codeRegistry); - return changeNode(context, newObjectType); - } - return CONTINUE; - } - - private boolean someConditionalLogic(GraphQLObjectType objectType) { - // up to you to decide what causes a change, perhaps a directive is on the element - return objectType.hasDirective("specialDirective"); - } - - private GraphQLObjectType buildChangedObjectType(GraphQLObjectType objectType, GraphQLCodeRegistry.Builder codeRegistry) { - GraphQLFieldDefinition newField = GraphQLFieldDefinition.newFieldDefinition() - .name("newField").type(Scalars.GraphQLString).build(); - GraphQLObjectType newObjectType = objectType.transform(builder -> builder.field(newField)); - - DataFetcher newDataFetcher = dataFetchingEnvironment -> { - return "someValueForTheNewField"; - }; - FieldCoordinates coordinates = FieldCoordinates.coordinates(objectType.getName(), newField.getName()); - codeRegistry.dataFetcher(coordinates, newDataFetcher); - return newObjectType; - } -}; -GraphQLSchema newSchema = SchemaTransformer.transformSchema(schema, visitor); -``` - -You return "command" methods in your visitor that causes the `SchemaTransformer` to modify the schema while maintain its cyclic graph semantic -correctness. - -You can update elements, insert new ones or delete elements. - -```java -GraphQLTypeVisitorStub visitor = new GraphQLTypeVisitorStub() { - @Override - public TraversalControl visitGraphQLObjectType(GraphQLObjectType objectType, TraverserContext context) { - - // changes the current element in the schema - return changeNode(context, updatedElement); - - // inserts a new element after the current one in the schema - return insertAfter(context, newElement); - - // inserts a new element before the current one in teh schema - return insertBefore(context, newElement); - - // deletes the current element from the schema - return deleteNode(context); - - // just continue with no change - return CONTINUE; - } -}; -``` - -Obviously the above code does not compile, it's there to show the different command methods the visitor must return -to instruct the `SchemaTransformer` to change the schema DAG. diff --git a/documentation/subscriptions.md b/documentation/subscriptions.md deleted file mode 100644 index 36bbf18..0000000 --- a/documentation/subscriptions.md +++ /dev/null @@ -1,149 +0,0 @@ ---- -title: "Subscriptions" -date: 2018-09-09T12:52:46+10:00 -description: Graphql subscriptions allow you subscribe to a reactive source and as new data arrives - a graphql query is applied over that data and the results are passed on. - ---- -# Subscriptions - -## Subscription Queries - -Graphql subscriptions allow you subscribe to a reactive source and as new data arrives -a graphql query is applied over that data and the results are passed on. - -See http://graphql.org/blog/subscriptions-in-graphql-and-relay/ for more general details on -graphql subscriptions. - -Imagine you have an stock market pricing service and you make a graphql subscription to it like this - -```graphql -subscription StockCodeSubscription { - stockQuotes(stockCode:"IBM") { - dateTime - stockCode - stockPrice - stockPriceChange - } -} -``` - -graphql subscriptions allow a stream of ``ExecutionResult`` objects to be sent down each time the stock price -changes. The field selection set will applied to the underlying data and are represented just like any other -graphql query. - -What is special is that the initial result of a subscription query is a reactive-streams ``Publisher`` object which you -need to use to get the future values. - -You need to use ``SubscriptionExecutionStrategy`` as your execution strategy as it has the support for the reactive-streams APIs. - -```java -GraphQL graphQL = GraphQL - .newGraphQL(schema) - .subscriptionExecutionStrategy(new SubscriptionExecutionStrategy()) - .build(); - -ExecutionResult executionResult = graphQL.execute(query); - -Publisher stockPriceStream = executionResult.getData(); -``` - -The ``Publisher`` here is the publisher of a stream of events. You need to subscribe to this with your processing -code which will look something like the following - -```java -GraphQL graphQL = GraphQL - .newGraphQL(schema) - .subscriptionExecutionStrategy(new SubscriptionExecutionStrategy()) - .build(); - -String query = "" + - " subscription StockCodeSubscription {\n" + - " stockQuotes(stockCode:\"IBM\") {\n" + - " dateTime\n" + - " stockCode\n" + - " stockPrice\n" + - " stockPriceChange\n" + - " }\n" + - " }\n"; - -ExecutionResult executionResult = graphQL.execute(query); - -Publisher stockPriceStream = executionResult.getData(); - -AtomicReference subscriptionRef = new AtomicReference<>(); -stockPriceStream.subscribe(new Subscriber() { - - @Override - public void onSubscribe(Subscription s) { - subscriptionRef.set(s); - s.request(1); - } - - @Override - public void onNext(ExecutionResult er) { - // - // process the next stock price - // - processStockPriceChange(er.getData()); - - // - // ask the publisher for one more item please - // - subscriptionRef.get().request(1); - } - - @Override - public void onError(Throwable t) { - // - // The upstream publishing data source has encountered an error - // and the subscription is now terminated. Real production code needs - // to decide on a error handling strategy. - // - } - - @Override - public void onComplete() { - // - // the subscription has completed. There is not more data - // - } -}); -``` - -You are now writing reactive-streams code to consume a series of ``ExecutionResults``. You can see -more details on reactive-streams code here http://www.reactive-streams.org/ - -``RxJava`` is a popular implementation of reactive-streams. Check out [http://reactivex.io/intro.html](http://reactivex.io/intro.html) to find out more -about creating Publishers of data and Subscriptions to that data. - -``Project Reactor`` is another popular implementation of reactive-streams. Check out [https://projectreactor.io/](https://projectreactor.io/) as well. - -graphql-java only produces a stream of results. It does not concern itself with sending these over the network on things -like web sockets and so on. That is important but not a concern of the base graphql-java library. - -We have put together a basic example of using websockets (backed by Jetty) with a simulated stock price application that -is built using RxJava. - -See https://github.com/graphql-java/graphql-java-subscription-example for more detailed code on handling network concerns and -the like. - -## Subscription Data Fetchers - -The ``DataFetcher`` behind a subscription field is responsible for creating the ``Publisher`` of data. The objects -return by this Publisher will be mapped over the graphql query as each arrives and then sent back out as an execution result. - -You data fetcher is going to look something like this. - -```java -DataFetcher> publisherDataFetcher = new DataFetcher>() { - @Override - public Publisher get(DataFetchingEnvironment environment) { - String stockCodeArg = environment.getArgument("stockCode"); - return buildPublisherForStockCode(stockCodeArg); - } -}; -``` - -Now the exact details of how you get that stream of events is up to you and you're reactive code. graphql-java -gives you a way to map the graphql query fields over that stream of objects just like a standard graphql query. diff --git a/documentation/upgrade-notes.md b/documentation/upgrade-notes.md deleted file mode 100644 index def289c..0000000 --- a/documentation/upgrade-notes.md +++ /dev/null @@ -1,62 +0,0 @@ ---- -title: "Upgrade notes" -date: 2024-12-28T12:52:46+10:00 -description: Miscellaneous notes to assist with upgrading GraphQL Java versions ---- -# Upgrade notes - -This is a special page with extra information to help with upgrading to a newer version of GraphQL Java, based on feedback from GitHub Discussion threads. - -See detailed [release notes on GitHub](https://github.com/graphql-java/graphql-java/releases). - -## Stricter requirements for scalar parseValue coercion in Version 22.0 - -### What changed? -In v22.0, `parseValue` coercion was made stricter to align with the reference JS implementation. This change applied to String, Boolean, Float, and Int. - -* String `parseValue` now requires input of type String. For example, a Number input 123 or a Boolean input true will no longer be accepted. -* Boolean `parseValue` now requires input of type Boolean. For example, a String input "true" will no longer be accepted. -* Float `parseValue` now requires input of type Number. For example, a String input "3.14" will no longer be accepted. -* Int `parseValue` now requires input of type Number. For example, a String input "42" will no longer be accepted. - -If you are upgrading from an earlier version of GraphQL Java and you see an error message such as `Expected a value that can be converted to type 'Int' but it was a 'String'`, it's because of this change in `parseValue` behavior for scalars. - -See the [v22.0 release notes](https://github.com/graphql-java/graphql-java/releases/tag/v22.0) on GitHub. - -### How do I upgrade? - -As called out in the release notes, this is a breaking change. - -You have two options: -1. Migrate: Use `InputInterceptor` introduced in [version 21.0](https://github.com/graphql-java/graphql-java/releases/tag/v21.0) to monitor incoming traffic, and after a period of time, migrate to the stricter `parseValue` coercion in version 22.0 -2. Revert to legacy behavior: Use `InputInterceptor` to permanently use the older, less strict `parseValue` coercion, and keep things as they were before version 22.0 - -We'll leave the choice up to you. Here's how to implement each option. - -The `InputInterceptor` interface allows you to monitor and/or modify input values, and an implementation is provided in `LegacyCoercingInputInterceptor`. - -### How to use the InputInterceptor to monitor traffic - -You can use the `LegacyCoercingInputInterceptor` implementation to monitor traffic. You can use the method `observeValues` to monitor incoming requests. When a legacy value is detected, a callback will be invoked. For example, the callback could be emitting a metric. To enable this observer, add it to `GraphQLContext`, for example: - -```java -InputInterceptor legacyInputInterceptor = LegacyCoercingInputInterceptor.observesValues((inputValue, graphQLInputType) -> { - emitAMetric(inputValue, graphQLInputType); -}); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .query("query { exampleField }") - .graphQLContext(Map.of(InputInterceptor.class, legacyInputInterceptor)) - .build(); -``` - -### How to use the InputInterceptor to use the legacy parseValue behaviour (prior to v22.0) - -You can alternatively use the `LegacyCoercingInputInterceptor` to revert to the legacy `parseValue` behavior, as it was prior to v22.0. The legacy behavior is implemented in the `migratesValues` method. To enable legacy behavior, add it to `GraphQLContext`, for example: - -```java -ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .query("query { exampleField }") - .graphQLContext(Map.of(InputInterceptor.class, LegacyCoercingInputInterceptor.migratesValues())) - .build(); -``` diff --git a/docusaurus.config.js b/docusaurus.config.js index 5c399f4..5344d32 100644 --- a/docusaurus.config.js +++ b/docusaurus.config.js @@ -1,140 +1,105 @@ -// @ts-check -// Note: type annotations allow type checking and IDEs autocompletion - -const lightCodeTheme = require('prism-react-renderer/themes/github'); -const darkCodeTheme = require('prism-react-renderer/themes/dracula'); - -/** @type {import('@docusaurus/types').Config} */ -const config = { - title: 'GraphQL Java', - tagline: 'The Java implementation of GraphQL', - url: 'https://graphql-java.com', +module.exports = { + title: 'My Site', + tagline: 'The tagline of my site', + url: 'https://your-docusaurus-test-site.com', baseUrl: '/', onBrokenLinks: 'throw', onBrokenMarkdownLinks: 'warn', favicon: 'img/favicon.ico', - organizationName: 'graphql-java', // Usually your GitHub org/user name. - projectName: 'graphql-java-page', // Usually your repo name. + organizationName: 'facebook', // Usually your GitHub org/user name. + projectName: 'docusaurus', // Usually your repo name. + themeConfig: { + navbar: { + title: 'My Site', + logo: { + alt: 'My Site Logo', + src: 'img/logo.svg', + }, + items: [ + { + to: 'docs/', + activeBasePath: 'docs', + label: 'Docs', + position: 'left', + }, + {to: 'blog', label: 'Blog', position: 'left'}, + { + href: 'https://github.com/facebook/docusaurus', + label: 'GitHub', + position: 'right', + }, + ], + }, + footer: { + style: 'dark', + links: [ + { + title: 'Docs', + items: [ + { + label: 'Style Guide', + to: 'docs/', + }, + { + label: 'Second Doc', + to: 'docs/doc2/', + }, + ], + }, + { + title: 'Community', + items: [ + { + label: 'Stack Overflow', + href: 'https://stackoverflow.com/questions/tagged/docusaurus', + }, + { + label: 'Discord', + href: 'https://discordapp.com/invite/docusaurus', + }, + { + label: 'Twitter', + href: 'https://twitter.com/docusaurus', + }, + ], + }, + { + title: 'More', + items: [ + { + label: 'Blog', + to: 'blog', + }, + { + label: 'GitHub', + href: 'https://github.com/facebook/docusaurus', + }, + ], + }, + ], + copyright: `Copyright © ${new Date().getFullYear()} My Project, Inc. Built with Docusaurus.`, + }, + }, presets: [ [ '@docusaurus/preset-classic', - /** @type {import('@docusaurus/preset-classic').Options} */ - ({ + { docs: { - path: 'documentation', - routeBasePath: 'documentation', sidebarPath: require.resolve('./sidebars.js'), - editUrl: 'https://github.com/graphql-java/graphql-java-page/edit/master/', - lastVersion: "v23", - versions: { - current: { - label: "master", - path: "master" - } - } + // Please change this to your repo. + editUrl: + 'https://github.com/facebook/docusaurus/edit/master/website/', }, blog: { showReadingTime: true, + // Please change this to your repo. editUrl: - 'https://github.com/graphql-java/graphql-java-page/edit/master/blog/', - blogSidebarTitle: 'All posts', - blogSidebarCount: 'ALL', - postsPerPage: 5, + 'https://github.com/facebook/docusaurus/edit/master/website/blog/', }, theme: { customCss: require.resolve('./src/css/custom.css'), }, - }), + }, ], ], - - themeConfig: - /** @type {import('@docusaurus/preset-classic').ThemeConfig} */ - ({ - navbar: { - title: 'GraphQL Java', - logo: { - alt: 'GraphQL Java logo', - src: 'img/logo.png', - }, - items: [ - { - type: 'doc', - docId: 'getting-started', - position: 'left', - label: 'Documentation', - }, - {to: 'https://leanpub.com/graphql-java/', label: 'Book', position: 'left'}, - {to: '/tutorials/getting-started-with-spring-boot', label: 'Tutorial', position: 'left'}, - {to: '/blog', label: 'Blog', position: 'left'}, - {to: '/security', label: 'Security', position: 'left'}, - {to: '/about', label: 'About', position: 'left'}, - {type: 'docsVersionDropdown', position: 'right'}, - { - href: 'https://github.com/graphql-java/graphql-java', - label: 'GitHub', - position: 'right', - }, - ], - }, - footer: { - style: 'dark', - links: [ - { - title: 'Docs', - items: [ - { - label: 'Documentation', - to: '/documentation/getting-started', - }, - { - label: '3 Min Tutorial', - to: '/tutorials/getting-started-with-spring-boot', - }, - { - label: 'JavaDoc', - to: 'https://javadoc.io/doc/com.graphql-java/graphql-java/', - }, - { - label: 'Security', - to: '/security' - } - ], - }, - { - title: 'Community', - items: [ - { - label: 'GitHub Discussions', - href: 'https://github.com/graphql-java/graphql-java/discussions', - }, - ], - }, - { - title: 'More', - items: [ - { - label: 'Blog', - to: '/blog', - }, - { - label: 'GitHub', - href: 'https://github.com/graphql-java/graphql-java', - }, - ], - }, - ], - copyright: `Copyright © ${new Date().getFullYear()} Andreas Marek.`, - }, - prism: { - theme: lightCodeTheme, - darkTheme: darkCodeTheme, - additionalLanguages: ['java', 'groovy', 'kotlin'], - }, - googleAnalytics: { - trackingID: 'UA-126627606-1', - } - }), }; - -module.exports = config; diff --git a/package.json b/package.json index bdaa9c7..1f16210 100644 --- a/package.json +++ b/package.json @@ -1,5 +1,5 @@ { - "name": "website", + "name": "graphql-java-page-new", "version": "0.0.0", "private": true, "scripts": { @@ -8,22 +8,16 @@ "build": "docusaurus build", "swizzle": "docusaurus swizzle", "deploy": "docusaurus deploy", - "clear": "docusaurus clear", "serve": "docusaurus serve", - "write-translations": "docusaurus write-translations", - "write-heading-ids": "docusaurus write-heading-ids" + "clear": "docusaurus clear" }, "dependencies": { - "@docusaurus/core": "2.0.0-beta.9", - "@docusaurus/preset-classic": "2.0.0-beta.9", + "@docusaurus/core": "2.0.0-alpha.70", + "@docusaurus/preset-classic": "2.0.0-alpha.70", "@mdx-js/react": "^1.6.21", - "@svgr/webpack": "^5.5.0", "clsx": "^1.1.1", - "file-loader": "^6.2.0", - "prism-react-renderer": "^1.2.1", - "react": "^17.0.1", - "react-dom": "^17.0.1", - "url-loader": "^4.1.1" + "react": "^16.8.4", + "react-dom": "^16.8.4" }, "browserslist": { "production": [ diff --git a/readme.md b/readme.md deleted file mode 100644 index 507d22f..0000000 --- a/readme.md +++ /dev/null @@ -1,54 +0,0 @@ -# GraphQL Java documentation - -Welcome to the GraphQL Java documentation. It's very easy to get started, all you need is Markdown. - -Contributions are always welcome. Thanks for helping out! - -## Local setup - -This website is built using [Docusaurus 2](https://docusaurus.io/), a modern static website generator. - -### Installation - -``` -$ yarn -``` - -### Local Development - -``` -$ yarn start -``` - -This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server. - -### Build - -``` -$ yarn build -``` - -Preview build files locally with - -``` -$ yarn run serve -``` - -## How to create a new release - -Create a new release by following the below (v20 used as an example) - -``` -$ yarn run docusaurus docs:version v20 -``` - -Then update `lastVersion` inside `docusaurus.config.js` -``` -lastVersion: "v20", -``` - -Delete the oldest version by deleting the oldest version's directory inside `versioned_docs` and the corresponding file in `versioned_sidebars`. Then delete the oldest version from `versions.json`. - -Finally, change the Maven and Gradle sections for the latest docs in [documentation/getting-started.mdx](/documentation/getting-started.mdx) and the `getting-started` file for your newly created version. - -For more, see the [Docusaurus versioning documentation](https://docusaurus.io/docs/versioning). diff --git a/sidebars.js b/sidebars.js index 8318961..8765a2e 100644 --- a/sidebars.js +++ b/sidebars.js @@ -1,31 +1,6 @@ -/** - * Creating a sidebar enables you to: - - create an ordered group of docs - - render a sidebar for each doc of that group - - provide next/previous navigation - - The sidebars can be generated from the filesystem, or explicitly defined here. - - Create as many sidebars as you want. - */ - -// @ts-check - -/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */ -const sidebars = { - // By default, Docusaurus generates a sidebar from the docs folder structure - tutorialSidebar: [{type: 'autogenerated', dirName: '.'}], - - // But you can create a sidebar manually - /* - tutorialSidebar: [ - { - type: 'category' - label: 'Tutorial', - items: ['hello'], - }, - ], - */ +module.exports = { + someSidebar: { + Docusaurus: ['doc1', 'doc2', 'doc3'], + Features: ['mdx'], + }, }; - -module.exports = sidebars; diff --git a/src/css/custom.css b/src/css/custom.css index 4f2d256..74ba0f2 100644 --- a/src/css/custom.css +++ b/src/css/custom.css @@ -1,3 +1,4 @@ +/* stylelint-disable docusaurus/copyright-header */ /** * Any CSS included here will be global. The classic template * bundles Infima by default. Infima is a CSS framework designed to @@ -6,23 +7,19 @@ /* You can override the default Infima variables here. */ :root { - --ifm-color-primary: #eb0195; - --ifm-color-primary-dark: #d40186; - --ifm-color-primary-darker: #c8017f; - --ifm-color-primary-darkest: #a50168; - --ifm-color-primary-light: #fe06a3; - --ifm-color-primary-lighter: #fe11a7; - --ifm-color-primary-lightest: #fe35b4; + --ifm-color-primary: #25c2a0; + --ifm-color-primary-dark: rgb(33, 175, 144); + --ifm-color-primary-darker: rgb(31, 165, 136); + --ifm-color-primary-darkest: rgb(26, 136, 112); + --ifm-color-primary-light: rgb(70, 203, 174); + --ifm-color-primary-lighter: rgb(102, 212, 189); + --ifm-color-primary-lightest: rgb(146, 224, 208); --ifm-code-font-size: 95%; } .docusaurus-highlight-code-line { - background-color: rgba(0, 0, 0, 0.1); + background-color: rgb(72, 77, 91); display: block; margin: 0 calc(-1 * var(--ifm-pre-padding)); padding: 0 var(--ifm-pre-padding); } - -html[data-theme='dark'] .docusaurus-highlight-code-line { - background-color: rgba(0, 0, 0, 0.3); -} diff --git a/src/pages/about.md b/src/pages/about.md deleted file mode 100644 index 7b7bf3e..0000000 --- a/src/pages/about.md +++ /dev/null @@ -1,11 +0,0 @@ ---- -title: About -description: About us -hide_table_of_contents: true ---- - -# About - -The GraphQL Java project is run by [Andreas Marek](https://github.com/andimarek), [Brad Baker](https://github.com/bbakerman), and [Donna Zhou](https://github.com/dondonz). - -Andreas Marek is responsible for the content of this website. diff --git a/src/pages/index.js b/src/pages/index.js index 83f3b54..fa42291 100644 --- a/src/pages/index.js +++ b/src/pages/index.js @@ -3,34 +3,95 @@ import clsx from 'clsx'; import Layout from '@theme/Layout'; import Link from '@docusaurus/Link'; import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; -import styles from './index.module.css'; +import useBaseUrl from '@docusaurus/useBaseUrl'; +import styles from './styles.module.css'; -function HomepageHeader() { - const {siteConfig} = useDocusaurusContext(); +const features = [ + { + title: 'Easy to Use', + imageUrl: 'img/undraw_docusaurus_mountain.svg', + description: ( + <> + Docusaurus was designed from the ground up to be easily installed and + used to get your website up and running quickly. + + ), + }, + { + title: 'Focus on What Matters', + imageUrl: 'img/undraw_docusaurus_tree.svg', + description: ( + <> + Docusaurus lets you focus on your docs, and we'll do the chores. Go + ahead and move your docs into the docs directory. + + ), + }, + { + title: 'Powered by React', + imageUrl: 'img/undraw_docusaurus_react.svg', + description: ( + <> + Extend or customize your website layout by reusing React. Docusaurus can + be extended while reusing the same header and footer. + + ), + }, +]; + +function Feature({imageUrl, title, description}) { + const imgUrl = useBaseUrl(imageUrl); return ( -
-
-

{siteConfig.title}

-

{siteConfig.tagline}

-
- - Buy the GraphQL Java book now - +
+ {imgUrl && ( +
+ {title}
-
-
+ )} +

{title}

+

{description}

+ ); } -export default function Home() { - const {siteConfig} = useDocusaurusContext(); +function Home() { + const context = useDocusaurusContext(); + const {siteConfig = {}} = context; return ( - + description="Description will go into a meta tag in "> +
+
+

{siteConfig.title}

+

{siteConfig.tagline}

+
+ + Get Started + +
+
+
+
+ {features && features.length > 0 && ( +
+
+
+ {features.map((props, idx) => ( + + ))} +
+
+
+ )} +
); } + +export default Home; diff --git a/src/pages/security.md b/src/pages/security.md deleted file mode 100644 index 1da921d..0000000 --- a/src/pages/security.md +++ /dev/null @@ -1,52 +0,0 @@ ---- -title: Security -description: Security policy and information -hide_table_of_contents: true ---- - -# Security - -## Supported versions -If a security issue occurs, we will patch the latest version and backport the security patch for versions released in the past 18 months, as stated in our [release policy](https://www.graphql-java.com/blog/release-policy). - -These fixes will be backported depending on severity and demand. As security fixes are time sensitive, we will release them on demand instead of waiting for the next scheduled release date. - -The maintainers reserve the right to make a pragmatic decision to make adjustments to the security policy. - -## Reporting a vulnerability -:::caution -🚨 To report a vulnerability, **DO NOT open a pull request or issue or GitHub discussion. DO NOT post publicly.** - -Instead, **report the vulnerability privately** via the **Security tab** on the [graphql-java GitHub repository](https://github.com/graphql-java/graphql-java/security). See instructions at [https://docs.github.com/en/code-security/security-advisories/guidance-on-reporting-and-writing/privately-reporting-a-security-vulnerability](https://docs.github.com/en/code-security/security-advisories/guidance-on-reporting-and-writing/privately-reporting-a-security-vulnerability). -::: - -## Disclosure policy -The GraphQL Java maintainers will collaborate with those who report vulnerabilities privately via the [GitHub vulnerability reporting form](https://github.com/graphql-java/graphql-java/security). -We will acknowledge and review vulnerability reports as soon as we can. **To protect the community, please do not publicly disclose the vulnerability.** -The maintainers will make a public announcement after the vulnerability is fixed. - -Please allow time for the maintainers to review vulnerability reports, please note we are an open source project run by volunteers. - -## Common Vulnerabilities and Exposures (CVEs) - -[GraphQL Java is the CVE Numbering Authority (CNA)](https://www.cve.org/PartnerInformation/ListofPartners/partner/graphql-java) for GraphQL Java, Java DataLoader, GraphQL Java Extended Scalars, and GraphQL Java Extended Validation. - -#### CVE-2024-40094 -Patched by versions 21.5, 20.9, 19.11, build version 0.0.0-2024-03-22T04-18-12-97743bc, or later -* [Announcement on GitHub](https://github.com/graphql-java/graphql-java/discussions/3641) -* [CVE link](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2024-40094) - -#### CVE-2023-29470 -Patched by versions 20.2, 19.5, 18.5, 17.6, build version 0.0.0-2023-03-29T23-54-31-fabc3e0, or later -* [Announcement on GitHub](https://github.com/graphql-java/graphql-java/discussions/3181) -* [CVE link](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-29470) - -#### CVE-2023-28867 -Patched by versions 20.1, 19.4, 18.4, 17.5, build version 0.0.0-2023-03-20T01-49-44-80e3135, or later -* [Announcement on GitHub](https://github.com/graphql-java/graphql-java/discussions/3153) -* [CVE link](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-28867) - -#### CVE-2022-37734 -Patched by versions 19.0, 18.3, 17.4, build version 0.0.0-2022-07-26T05-45-04-226aabd9, or later -* [Announcement on GitHub](https://github.com/graphql-java/graphql-java/discussions/2958) -* [CVE link](https://cve.mitre.org/cgi-bin/cvename.cgi?name=2022-37734) diff --git a/src/pages/index.module.css b/src/pages/styles.module.css similarity index 65% rename from src/pages/index.module.css rename to src/pages/styles.module.css index 95cf017..c1aa851 100644 --- a/src/pages/index.module.css +++ b/src/pages/styles.module.css @@ -1,3 +1,5 @@ +/* stylelint-disable docusaurus/copyright-header */ + /** * CSS files with the .module.css suffix will be treated as CSS modules * and scoped locally. @@ -8,7 +10,6 @@ text-align: center; position: relative; overflow: hidden; - height: 80vh; /* TODO remove this line when landing page copy is added */ } @media screen and (max-width: 966px) { @@ -22,3 +23,15 @@ align-items: center; justify-content: center; } + +.features { + display: flex; + align-items: center; + padding: 2rem 0; + width: 100%; +} + +.featureImage { + height: 200px; + width: 200px; +} diff --git a/src/pages/tutorials/getting-started-with-spring-boot.md b/src/pages/tutorials/getting-started-with-spring-boot.md deleted file mode 100644 index c383bc0..0000000 --- a/src/pages/tutorials/getting-started-with-spring-boot.md +++ /dev/null @@ -1,314 +0,0 @@ ---- -title: Tutorial with Spring for GraphQl -sidebar_position: 1 -id: tutorial-getting-started ---- -# Getting started with Spring for GraphQL - -In this tutorial, you will create a GraphQL server in Java using [Spring for GraphQL](https://docs.spring.io/spring-graphql/reference/) in 3 minutes. It requires a little Spring and Java knowledge. While we give a brief introduction to GraphQL, the focus of this tutorial is developing a GraphQL server in Java. - -If you're looking to learn more after this tutorial, we (the maintainers) have written a book! [**GraphQL with Java and Spring**](https://leanpub.com/graphql-java) includes everything you need to know to build a production ready GraphQL service with Spring for GraphQL, the official Spring integration built on top of the GraphQL Java engine. It's available on [Leanpub](https://leanpub.com/graphql-java) and [Amazon](https://www.amazon.com/GraphQL-Java-Spring-Andreas-Marek-ebook/dp/B0C96ZYWPF/). - -## A very short introduction to GraphQL - -GraphQL is a query language to retrieve data from a server. It is an alternative to REST, SOAP or gRPC. - -Let's suppose we want to query the details for a specific book from an online store backend. - -With GraphQL you send the following query to the server to get the details for the book with the id "book-1": - -```graphql -query bookDetails { - bookById(id: "book-1"){ - id - name - pageCount - author { - firstName - lastName - } - } -} -``` - -This is not JSON (even though it looks deliberately similar), it is a GraphQL query. -It basically says: - -- query a book with a specific id -- get me the id, name, pageCount and author from that book -- for the author, I want to know the firstName and lastName - -The response is normal JSON: -```json -{ - "bookById": { - "id":"book-1", - "name":"Harry Potter and the Philosopher's Stone", - "pageCount":223, - "author": { - "firstName":"Joanne", - "lastName":"Rowling" - } - } -} -``` - -One very important property of GraphQL is that it is statically typed: the server knows exactly the shape of every object you can query and any client can actually "introspect" the server and ask for the "schema". The schema describes what queries are possible and what fields you can get back. (Note: when we refer to schema here, we always refer to a "GraphQL Schema", which is not related to other schemas like "JSON Schema" or "Database Schema") - -The schema for the above query looks like this: - -```graphql -type Query { - bookById(id: ID): Book -} - -type Book { - id: ID - name: String - pageCount: Int - author: Author -} - -type Author { - id: ID - firstName: String - lastName: String -} -``` - -This tutorial will focus on how to implement a GraphQL server with this schema in Java. - -We've barely scratched the surface of what's possible with GraphQL. Further information can be found on the [official GraphQL page](https://graphql.org/learn/). - -## GraphQL Java Overview - -[GraphQL Java](https://www.graphql-java.com) is the Java (server) implementation for GraphQL. -There are several repositories in the GraphQL Java Github org. The most important one is the [GraphQL Java Engine](https://github.com/graphql-java/graphql-java) which is the basis for everything else. - -The GraphQL Java Engine is only concerned with executing queries. It doesn't deal with any HTTP or JSON related topics. For these aspects, we will use [Spring for GraphQL](https://docs.spring.io/spring-graphql/reference/) which takes care of exposing our API via Spring Boot over HTTP. - -The main steps of creating a GraphQL Java server are: - -1. Defining a GraphQL Schema. -2. Deciding on how the actual data for a query is fetched. - -## Our example API: getting book details - -Our example app will be a simple API to get details for a specific book. -This is in no way a comprehensive API, but it is enough for this tutorial. - -## Create a Spring Boot app - -The easiest way to create a Spring Boot app is to use the [Spring Initializr](https://start.spring.io/). - -Select: - -- Gradle Project -- Spring Boot 3 -- Java 17 or higher - -For the project metadata, use: - -- Group: `com.graphqljava.tutorial` -- Artifact: `bookDetails` - -For dependencies, select: - -- Spring Web, and -- Spring for GraphQL - -Then click on `Generate` for a ready to use Spring Boot app. -All subsequently mentioned files and paths will be relative to this generated project. - -Spring for GraphQL adds many useful features including loading schema files, initializing GraphQL Java, and simplifying data fetching with controller annotations. - -## Schema - -Add a new file `schema.graphqls` to `src/main/resources/graphql` with the following content: - -```graphql -type Query { - bookById(id: ID): Book -} - -type Book { - id: ID - name: String - pageCount: Int - author: Author -} - -type Author { - id: ID - firstName: String - lastName: String -} -``` - -This schema defines one top level field (in the type `Query`): `bookById` which returns the details of a specific book. - -It also defines the type `Book` which has the fields: `id`, `name`, `pageCount` and `author`. -`author` is of type `Author`, which is defined after `Book`. - -> The Domain Specific Language (shown above) used to describe a schema is called the Schema Definition Language or SDL. More details about it can be found [here](https://graphql.org/learn/schema/). - -## Source of the data -To simplify the tutorial, book and author data will come from static lists inside their respective classes. -It is very important to understand that GraphQL doesn't dictate in any way where the data comes from. -This is the power of GraphQL: it can come from a static in-memory list, from a database or an external service. - -### Create the Book class - -Add the following to `bookDetails/Book.java` -```java -package com.graphqljava.tutorial.bookDetails; - -import java.util.Arrays; -import java.util.List; - -record Book(String id, String name, int pageCount, String authorId) { - - private static List books = Arrays.asList( - new Book("book-1", "Harry Potter and the Philosopher's Stone", 223, "author-1"), - new Book("book-2", "Moby Dick", 635, "author-2"), - new Book("book-3", "Interview with the vampire", 371, "author-3") - ); - - public static Book getById(String id) { - return books.stream().filter(book -> book.id().equals(id)).findFirst().orElse(null); - } - -} -``` - -### Create the Author class -Add the following to `bookDetails/Author.java` -```java -package com.graphqljava.tutorial.bookDetails; - -import java.util.Arrays; -import java.util.List; - -record Author(String id, String firstName, String lastName) { - - private static List authors = Arrays.asList( - new Author("author-1", "Joanne", "Rowling"), - new Author("author-2", "Herman", "Melville"), - new Author("author-3", "Anne", "Rice") - ); - - public static Author getById(String id) { - return authors.stream().filter(author -> author.id().equals(id)).findFirst().orElse(null); - } - -} -``` - -## Adding code to fetch data -Spring for GraphQL provides an [annotation-based programming model](https://docs.spring.io/spring-graphql/reference/controllers.html) to declare handler methods to fetch the data for specific GraphQL fields. - -Add the following to `bookDetails/BookController.java` - -```java -package com.graphqljava.tutorial.bookDetails; - -import org.springframework.graphql.data.method.annotation.Argument; -import org.springframework.graphql.data.method.annotation.QueryMapping; -import org.springframework.graphql.data.method.annotation.SchemaMapping; -import org.springframework.stereotype.Controller; - -@Controller -class BookController { - - @QueryMapping - public Book bookById(@Argument String id) { - return Book.getById(id); - } - - @SchemaMapping - public Author author(Book book) { - return Author.getById(book.authorId()); - } - -} -``` - -The `@QueryMapping` annotation binds this method to a query, a field under the Query type. -The query field is then determined from the method name, `bookById`. It could also be declared on the annotation. -Spring for GraphQL uses `RuntimeWiring.Builder` to register the handler method as a `graphql.schema.DataFetcher` for the query field `bookById`. - -In GraphQL Java, `DataFetchingEnvironment` provides access to a map of field-specific argument values. -Use the `@Argument` annotation to have an argument bound to a target object and injected into the handler method. -By default, the method parameter name is used to look up the argument. -The argument name can be specified in the annotation. - -The `@SchemaMapping` annotation maps a handler method to a field in the GraphQL schema and declares it to be the `DataFetcher` for that field. -The field name defaults to the method name, and the type name defaults to the simple class name of the source/parent object injected into the method. In this example, the field defaults to `author` and the type defaults to `Book`. -The type and field can be specified in the annotation. - -For more, see the [documentation for the Spring for GraphQL annotated controller feature](https://docs.spring.io/spring-graphql/reference/controllers.html). - -That's all the code we need! Let's run our first query. - -## Running our first query - -### Enable the GraphiQL Playground -GraphiQL is a useful visual interface for writing and executing queries, and much more. Enable GraphiQL by adding this config to the `application.properties` file. - -``` -spring.graphql.graphiql.enabled=true -``` - -This will enable GraphiQL at the path `/graphiql` by default. You can change this path by configuring `spring.graphql.graphiql.path`. - -### Boot the application -Start your Spring application. - -Navigate to [http://localhost:8080/graphiql](http://localhost:8080/graphiql) or your custom URL. - -### Run the query -Type in the query and hit the play button at the top of the window. - -```graphql -query bookDetails { - bookById(id: "book-1") { - id - name - pageCount - author { - id - firstName - lastName - } - } -} -``` - -You should see a response like this. -![GraphQL response](/img/graphiQL.png) - -We have built a GraphQL server and run our first query! -With the help of Spring for GraphQL features, we were able to achieve this with only a few lines of code. - -## Further reading -### Book -If you want to learn more, we (the maintainers) have written a book! [**GraphQL with Java and Spring**](https://leanpub.com/graphql-java) includes everything you need to know to build a production ready GraphQL service with Spring for GraphQL and GraphQL Java. - -Learn first-hand from the founder of GraphQL Java and co-author of Spring for GraphQL. The book is suitable for beginners and also includes advanced topics for intermediate readers. The book is available on [Leanpub](https://leanpub.com/graphql-java) and [Amazon](https://www.amazon.com/GraphQL-Java-Spring-Andreas-Marek-ebook/dp/B0C96ZYWPF/). - -### Sample source code -The source code for this tutorial can be found on [GitHub](https://github.com/graphql-java/tutorials). - -### Documentation -Read the GraphQL Java [documentation](https://www.graphql-java.com/documentation/getting-started). - -### More Spring for GraphQL examples -See the [Spring for GraphQL documentation for more samples](https://docs.spring.io/spring-graphql/reference/samples.html). - -### Tutorials written by the community -If you'd like to see a longer tutorial with pure GraphQL Java and without any framework such as Spring, [Benjamin Habegger](https://github.com/bhabegger) has written a detailed [tutorial](https://medium.com/@benjamin.habegger/step-by-step-guide-to-build-a-graphql-server-in-java-over-multiple-data-sources-30c0c7b4b409). - -We welcome tutorials written by the community. If you'd like to see a tutorial here, please post on [GitHub Discussions](https://github.com/graphql-java/graphql-java/discussions). - -### GitHub Discussions -We also use [GitHub Discussions](https://github.com/graphql-java/graphql-java/discussions) for any questions or problems. \ No newline at end of file diff --git a/static/img/favicon.ico b/static/img/favicon.ico index 3c91ca3..c01d54b 100644 Binary files a/static/img/favicon.ico and b/static/img/favicon.ico differ diff --git a/static/img/graphiQL.png b/static/img/graphiQL.png deleted file mode 100644 index 7331499..0000000 Binary files a/static/img/graphiQL.png and /dev/null differ diff --git a/static/img/logo.png b/static/img/logo.png deleted file mode 100644 index dd80edd..0000000 Binary files a/static/img/logo.png and /dev/null differ diff --git a/static/img/logo.svg b/static/img/logo.svg new file mode 100644 index 0000000..9db6d0d --- /dev/null +++ b/static/img/logo.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/static/img/undraw_docusaurus_mountain.svg b/static/img/undraw_docusaurus_mountain.svg new file mode 100644 index 0000000..431cef2 --- /dev/null +++ b/static/img/undraw_docusaurus_mountain.svg @@ -0,0 +1,170 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/static/img/undraw_docusaurus_react.svg b/static/img/undraw_docusaurus_react.svg new file mode 100644 index 0000000..e417050 --- /dev/null +++ b/static/img/undraw_docusaurus_react.svg @@ -0,0 +1,169 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/static/img/undraw_docusaurus_tree.svg b/static/img/undraw_docusaurus_tree.svg new file mode 100644 index 0000000..a05cc03 --- /dev/null +++ b/static/img/undraw_docusaurus_tree.svg @@ -0,0 +1 @@ +docu_tree \ No newline at end of file diff --git a/versioned_docs/version-v23/batching.md b/versioned_docs/version-v23/batching.md deleted file mode 100644 index e420108..0000000 --- a/versioned_docs/version-v23/batching.md +++ /dev/null @@ -1,372 +0,0 @@ ---- -title: "Batching" -date: 2021-08-10T12:52:46+10:00 -description: How to avoid the dreaded N+1 calls for data and make your graphql system more efficient ---- -# Using Dataloader - -If you are using `graphql`, you are likely to making queries on a graph of data (no surprises there). However, it's easy -to implement inefficient code with naive loading of a graph of data. - -Using [java-dataloader](https://github.com/graphql-java/java-dataloader) will help you to make this a more efficient process by both caching and batching requests for that graph of data items. If `dataloader` -has seen a data item before, it will have cached the value and will return it without having to ask for it again. - -Imagine we have the StarWars query outlined below. It asks us to find a hero, and their friend's names, and their friend's friend's -names. It is likely that many of these people will be friends in common. - -```graphql -{ - hero { - name - friends { - name - friends { - name - } - } - } -} -``` - -The result of this query is displayed below. You can see that Han, Leia, Luke and R2-D2 are a tight-knit bunch of friends and -share many friends in common. - -```json -{ - "hero": { - "name": "R2-D2", - "friends": [ - { - "name": "Luke Skywalker", - "friends": [ - {"name": "Han Solo"}, - {"name": "Leia Organa"}, - {"name": "C-3PO"}, - {"name": "R2-D2"} - ] - }, - { - "name": "Han Solo", - "friends": [ - {"name": "Luke Skywalker"}, - {"name": "Leia Organa"}, - {"name": "R2-D2"} - ] - }, - { - "name": "Leia Organa", - "friends": [ - {"name": "Luke Skywalker"}, - {"name": "Han Solo"}, - {"name": "C-3PO"}, - {"name": "R2-D2"} - ] - } - ] - } -} -``` - -A naive implementation would call a `DataFetcher` to retrieve a person object every time it was invoked. - -In this case it would be *15* calls over the network, even though the group of people have a lot of common friends. -With `dataloader` you can make the `graphql` query much more efficient. - -As `graphql` descends each level of the query (e.g., as it processes `hero` and then `friends` and then for each of their `friends`), -the data loader is called to "promise" to deliver a person object. At each level `dataloader.dispatch()` will be -called to fire off the batch requests for that part of the query. With caching turned on (the default) then -any previously returned person will be returned as-is for no cost. - -In the above example there are only *5* unique people mentioned but with caching and batching retrieval in place there will be only -*3* calls to the batch loader function. *3* calls over the network or to a database is much better than *15* calls, you will agree. - -If you use capabilities like `java.util.concurrent.CompletableFuture.supplyAsync()` then you can make it even more efficient by making the -remote calls asynchronous to the rest of the query. This will make it even more timely since multiple calls can happen at once -if need be. - -Here is how you might put this in place: - -```java -// -// a batch loader function that will be called with N or more keys for batch loading -// This can be a singleton object since it's stateless -// -BatchLoader characterBatchLoader = new BatchLoader() { - @Override - public CompletionStage> load(List keys) { - // - // we use supplyAsync() of values here for maximum parallelisation - // - return CompletableFuture.supplyAsync(() -> getCharacterDataViaBatchHTTPApi(keys)); - } -}; - -// -// use this data loader in the data fetchers associated with characters and put them into -// the graphql schema (not shown) -// -DataFetcher heroDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - DataLoader dataLoader = environment.getDataLoader("character"); - return dataLoader.load("2001"); // R2D2 - } -}; - -DataFetcher friendsDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - StarWarsCharacter starWarsCharacter = environment.getSource(); - List friendIds = starWarsCharacter.getFriendIds(); - DataLoader dataLoader = environment.getDataLoader("character"); - return dataLoader.loadMany(friendIds); - } -}; - -// -// this instrumentation implementation will dispatch all the data loaders -// as each level of the graphql query is executed and hence make batched objects -// available to the query and the associated DataFetchers -// -// In this case we use options to make it keep statistics on the batching efficiency -// -DataLoaderDispatcherInstrumentationOptions options = DataLoaderDispatcherInstrumentationOptions - .newOptions().includeStatistics(true); - -DataLoaderDispatcherInstrumentation dispatcherInstrumentation - = new DataLoaderDispatcherInstrumentation(options); - -// -// now build your graphql object and execute queries on it. -// the data loader will be invoked via the data fetchers on the -// schema fields -// -GraphQL graphQL = GraphQL.newGraphQL(buildSchema()) - .instrumentation(dispatcherInstrumentation) - .build(); - -// -// a data loader for characters that points to the character batch loader -// -// Since data loaders are stateful, they are created per execution request. -// -DataLoader characterDataLoader = DataLoaderFactory.newDataLoader(characterBatchLoader); - -// -// DataLoaderRegistry is a place to register all data loaders in that needs to be dispatched together -// in this case there is 1 but you can have many. -// -// Also note that the data loaders are created per execution request -// -DataLoaderRegistry registry = new DataLoaderRegistry(); -registry.register("character", characterDataLoader); - -ExecutionInput executionInput = newExecutionInput() - .query(getQuery()) - .dataLoaderRegistry(registry) - .build(); - -ExecutionResult executionResult = graphQL.execute(executionInput); -``` - -In this example we explicitly added the `DataLoaderDispatcherInstrumentation` because we wanted to tweak its options. However, -it will be automatically added for you if you don't add it manually. - -You can read a lot more about the `java-dataloader` API in detail over -at [https://github.com/graphql-java/java-dataloader](https://github.com/graphql-java/java-dataloader#readme). - - -## Data Loader only works with AsyncExecutionStrategy - -The only execution that works with DataLoader is `graphql.execution.AsyncExecutionStrategy`. This is because this execution strategy knows -when the most optimal time to dispatch() your load calls is. It does this by deeply tracking how many fields are outstanding and whether they -are list values and so on. - -Other execution strategies such as `ExecutorServiceExecutionStrategy` can't do this and hence if the data loader code detects -you are not using `AsyncExecutionStrategy` then it will simply dispatch the data loader as each field is encountered. You -may get `caching` of values, but you will not get `batching` of them. - - -## Per Request Data Loaders - -If you are serving web requests then the data can be specific to the user requesting it. If you have user specific data then you will not want to -cache data meant for user A to then later give it to user B in a subsequent request. - -The scope of your DataLoader instances is important. You will want to create them per web request to -ensure data is only cached within that web request and no more. It also ensures that a ``dispatch`` call -only affects that graphql execution and no other. - -DataLoaders by default act as caches. If they have seen a value before for a key then they will automatically return -it in order to be efficient. They cache promises to a value and optionally the value itself. - -If your data can be shared across web requests then you might want to change the `ValueCache` implementation of your data loaders, so they share -data via caching systems like memcached or redis. - -You still create data loaders per request, however the caching layer will allow data sharing (if that's suitable). - - -```java -ValueCache crossRequestValueCache = new ValueCache() { - @Override - public CompletableFuture get(String key) { - return redisIntegration.getValue(key); - } - - @Override - public CompletableFuture set(String key, Object value) { - return redisIntegration.setValue(key, value); - } - - @Override - public CompletableFuture delete(String key) { - return redisIntegration.clearKey(key); - } - - @Override - public CompletableFuture clear() { - return redisIntegration.clearAll(); - } -}; - -DataLoaderOptions options = DataLoaderOptions.newOptions().setValueCache(crossRequestValueCache); - -DataLoader dataLoader = DataLoaderFactory.newDataLoader(batchLoader, options); -``` - -## Async Calls On Your Batch Loader Function Only - -The data loader code pattern works by combining all the outstanding data loader calls into more efficient batch loading calls. - -graphql-java tracks what outstanding data loader calls have been made, and it is its responsibility to call `dispatch` -in the background at the most optimal time, which is when all graphql fields have been examined and dispatched. - -However, there is a code pattern that will cause your data loader calls to never complete, and these *MUST* be avoided. This bad -pattern consists of making an asynchronous off thread call to a `DataLoader` in your data fetcher. - -The following will not work (it will never complete). - -```java -BatchLoader batchLoader = new BatchLoader() { - @Override - public CompletionStage> load(List keys) { - return CompletableFuture.completedFuture(getTheseCharacters(keys)); - } -}; - -DataLoader characterDataLoader = DataLoaderFactory.newDataLoader(batchLoader); - -// .... later in your data fetcher - -DataFetcher dataFetcherThatCallsTheDataLoader = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - // - // Don't DO THIS! - // - return CompletableFuture.supplyAsync(() -> { - String argId = environment.getArgument("id"); - DataLoader characterLoader = environment.getDataLoader("characterLoader"); - return characterLoader.load(argId); - }); - } -}; -``` - -In the example above, the call to `characterDataLoader.load(argId)` can happen some time in the future on another thread. The graphql-java -engine has no way of knowing when it's a good time to dispatch outstanding `DataLoader` calls and hence the data loader call might never complete -as expected and no results will be returned. - -Remember a data loader call is just a promise to actually get a value later when it's an optimal time for all outstanding calls to be batched -together. The most optimal time is when the graphql field tree has been examined and all field values are currently dispatched. - -The following is how you can still have asynchronous code, by placing it into the `BatchLoader` itself. - -```java -BatchLoader batchLoader = new BatchLoader() { - @Override - public CompletionStage> load(List keys) { - return CompletableFuture.supplyAsync(() -> getTheseCharacters(keys)); - } -}; - -DataLoader characterDataLoader = DataLoaderFactory.newDataLoader(batchLoader); - -// .... later in your data fetcher - -DataFetcher dataFetcherThatCallsTheDataLoader = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - // - // This is OK - // - String argId = environment.getArgument("id"); - DataLoader characterLoader = environment.getDataLoader("characterLoader"); - return characterLoader.load(argId); - } -}; -``` - -Notice above the `characterDataLoader.load(argId)` returns immediately. This will enqueue the call for data until a later time when all -the graphql fields are dispatched. - -Then later when the `DataLoader` is dispatched, its `BatchLoader` function is called. This code can be asynchronous so that if you have multiple batch loader -functions they all can run at once. In the code above `CompletableFuture.supplyAsync(() -> getTheseCharacters(keys));` will run the ``getTheseCharacters`` -method in another thread. - -## Passing context to your data loader - -The data loader library supports two types of context being passed to the batch loader. The first is -an overall context object per dataloader, and the second is a map of per loaded key context objects. - -This allows you to pass in the extra details you may need to make downstream calls. The dataloader key is used -in the caching of results, but the context objects can be made available to help with the call. - -So in the example below we have an overall security context object that gives out a call token, and we also pass the graphql source -object to each ``dataLoader.load()`` call. - -```java -BatchLoaderWithContext batchLoaderWithCtx = new BatchLoaderWithContext() { - - @Override - public CompletionStage> load(List keys, BatchLoaderEnvironment loaderContext) { - // - // we can have an overall context object - SecurityContext securityCtx = loaderContext.getContext(); - // - // and we can have a per key set of context objects - Map keysToSourceObjects = loaderContext.getKeyContexts(); - - return CompletableFuture.supplyAsync(() -> getTheseCharacters(securityCtx.getToken(), keys, keysToSourceObjects)); - } -}; - -// .... - -SecurityContext securityCtx = SecurityContext.newSecurityContext(); - -BatchLoaderContextProvider contextProvider = new BatchLoaderContextProvider() { - @Override - public Object getContext() { - return securityCtx; - } -}; -// -// this creates an overall context for the dataloader -// -DataLoaderOptions loaderOptions = DataLoaderOptions.newOptions().setBatchLoaderContextProvider(contextProvider); -DataLoader characterDataLoader = DataLoaderFactory.newDataLoader(batchLoaderWithCtx, loaderOptions); - -// .... later in your data fetcher - -DataFetcher dataFetcherThatCallsTheDataLoader = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - String argId = environment.getArgument("id"); - Object source = environment.getSource(); - // - // you can pass per load call contexts - // - return characterDataLoader.load(argId, source); - } -}; -``` diff --git a/versioned_docs/version-v23/concerns.md b/versioned_docs/version-v23/concerns.md deleted file mode 100644 index 13fd867..0000000 --- a/versioned_docs/version-v23/concerns.md +++ /dev/null @@ -1,66 +0,0 @@ ---- -title: "Concerns" -date: 2018-09-09T12:52:46+10:00 -description: Outlines certain application level concerns and how to address them ---- -# Application concerns - -The graphql-java library concentrates on providing an engine for the execution of queries according to the specification. - -It does not concern itself about other high level application concerns such as the following : - -- Database access -- Caching data -- Data authorisation -- Data pagination -- HTTP transfer -- JSON encoding -- Code wiring via dependency injection - -You need to push these concerns into your business logic layers. - -The following are great links to read more about this - -- http://graphql.org/learn/serving-over-http/ -- http://graphql.org/learn/authorization/ -- http://graphql.org/learn/pagination/ -- http://graphql.org/learn/caching/ - -## Context Objects - -You can pass in a context object during query execution that will allow you to better invoke that business logic. - -For example the edge of your application could be performing user detection and you need that information inside the -graphql execution to perform authorisation. - -This made up example shows how you can pass yourself information to help execute your queries. - -```java -// -// this could be code that authorises the user in some way and sets up enough context -// that can be used later inside data fetchers allowing them -// to do their job -// -UserContext contextForUser = YourGraphqlContextBuilder.getContextForUser(getCurrentUser()); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .graphQLContext(context -> context.put("userContext", contextForUser)) - .build(); - -ExecutionResult executionResult = graphQL.execute(executionInput); - -// ... -// -// later you are able to use this context object when a data fetcher is invoked -// - -DataFetcher dataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - UserContext userCtx = environment.getGraphQlContext().get("userContext"); - Long businessObjId = environment.getArgument("businessObjId"); - - return invokeBusinessLayerMethod(userCtx, businessObjId); - } -}; -``` diff --git a/versioned_docs/version-v23/contributions.md b/versioned_docs/version-v23/contributions.md deleted file mode 100644 index 1386301..0000000 --- a/versioned_docs/version-v23/contributions.md +++ /dev/null @@ -1,45 +0,0 @@ ---- -title: "Contributions" -date: 2018-09-09T12:52:46+10:00 -description: Every contribution to make this project better is welcome. Thank you! ---- -# Contributions - -Every contribution to make this project better is welcome: Thank you! - -In order to make this as pleasant as possible for everybody involved, here are some tips: - -* Respect the [Code of Conduct](https://github.com/graphql-java/graphql-java/blob/master/CODE_OF_CONDUCT.md) - -* Before opening an Issue to report a bug, please try the latest development version. It can happen that the problem has been already solved. - -* Please use Markdown to format your comments properly. If you are not familiar with that: [Getting started with writing and formatting on GitHub](https://help.github.com/articles/getting-started-with-writing-and-formatting-on-github) - -* For Pull Requests: - * Here are some [general tips](https://github.com/blog/1943-how-to-write-the-perfect-pull-request) - - * Please be as focused and clear as possible and don't mix concerns. This includes refactorings mixed with bug-fixes/features, see [Open Source Contribution Etiquette](http://tirania.org/blog/archive/2010/Dec-31.html). - - * It would be good to add automatic tests. All tests are written in [Spock](http://spockframework.github.io/spock/docs/1.0/index.html). - -## Build and test locally - -Clone the repo and type - -```bash -./gradlew build -``` - -In `build/libs` you will find the jar file. - -Running the tests: - -```bash -./gradlew test -``` - -Installing in the local Maven repository: - -```bash -./gradlew install -``` diff --git a/versioned_docs/version-v23/data-fetching.md b/versioned_docs/version-v23/data-fetching.md deleted file mode 100644 index 220275b..0000000 --- a/versioned_docs/version-v23/data-fetching.md +++ /dev/null @@ -1,196 +0,0 @@ ---- -title: "Data fetching" -date: 2018-09-09T12:52:46+10:00 -description: How graphql-java fetches data for each of the fields in a query ---- -# Fetching data - -## How graphql fetches data - -Each field in graphql has a `graphql.schema.DataFetcher` associated with it. - -Some fields will use specialised data fetcher code that knows how to go to a database say to get field information while -most simply take data from the returned in memory objects using the field name and Plain Old Java Object (POJO) patterns -to get the data. - -Note : Data fetchers are some times called "resolvers" in other graphql implementations. - -So imagine a type declaration like the one below : - -```graphql -type Query { - products(match : String) : [Product] # a list of products -} - -type Product { - id : ID - name : String - description : String - cost : Float - tax : Float - launchDate(dateFormat : String = "dd, MMM, yyyy') : String -} -``` - -The `Query.products` field has a data fetcher, as does each field in the type ``Product``. - -The data fetcher on the ``Query.products`` field is likely to be a more complex data fetcher, containing code that -goes to a database say to get a list of ``Product`` objects. It takes an optional ``match`` argument and hence can filter these -product results if the client specified it. - -It might look like the following : - -```java -DataFetcher productsDataFetcher = new DataFetcher>() { - @Override - public List get(DataFetchingEnvironment environment) { - DatabaseSecurityCtx ctx = environment.getGraphQlContext().get("databaseSecurityCtx"); - - List products; - String match = environment.getArgument("match"); - if (match != null) { - products = fetchProductsFromDatabaseWithMatching(ctx, match); - } else { - products = fetchAllProductsFromDatabase(ctx); - } - return products; - } -}; -``` - -Each ``DataFetcher`` is passed a ``graphql.schema.DataFetchingEnvironment`` object which contains what field is being fetched, what -arguments have been supplied to the field and other information such as the field's type, its parent type, the query root object or the query -context object. - -Note how the data fetcher code above uses the context object as an application specific security handle to get access -to the database. This is a common technique to provide lower layer calling context. - -Once we have a list of ``ProductDTO`` objects we typically don't need specialised data fetchers on each field. graphql-java -ships with a smart ``graphql.schema.PropertyDataFetcher`` that knows how to follow POJO patterns based -on the field name. In the example above there is a ``name`` field and hence it will try to look for a ``public String getName()`` -POJO method to get the data. - - -``graphql.schema.PropertyDataFetcher`` is the data fetcher that is automatically associated with each field by default. - -You can however still get access to the ``graphql.schema.DataFetchingEnvironment`` in your DTO methods. This allows you to -tweak values before sending them out. For example above we have a ``launchDate`` field that takes an optional ``dateFormat`` -argument. We can have the ProductDTO have logic that applies this date formatting to the desired format. - -```java -class ProductDTO { - - private ID id; - private String name; - private String description; - private Double cost; - private Double tax; - private LocalDateTime launchDate; - - // ... - - public String getName() { - return name; - } - - // ... - - public String getLaunchDate(DataFetchingEnvironment environment) { - String dateFormat = environment.getArgument("dateFormat"); - return yodaTimeFormatter(launchDate,dateFormat); - } -} -``` - -## Customising PropertyDataFetcher - -As mentioned above ``graphql.schema.PropertyDataFetcher`` is the default data fetcher for fields in graphql-java and it will use standard patterns for fetching -object field values. - -It supports a ``POJO`` approach and a ``Map`` approach in a Java idiomatic way. By default it assumes that for a graphql field ``fieldX`` it can find a POJO property -called ``fieldX`` or a map key called ``fieldX`` if the backing object is a ``Map``. - -However you may have small differences between your graphql schema naming and runtime object naming. For example imagine that ``Product.description`` is actually -represented as ``getDesc()`` in the runtime backing Java object. - -You can specify it directly by wiring in a field data fetcher. -This will tell the ``graphql.schema.PropertyDataFetcher`` to use the property name ``desc`` when fetching data for the graphql field named ``description``. - -```java -GraphQLFieldDefinition descriptionField = GraphQLFieldDefinition.newFieldDefinition() - .name("description") - .type(Scalars.GraphQLString) - .build(); - -GraphQLCodeRegistry codeRegistry = GraphQLCodeRegistry.newCodeRegistry() - .dataFetcher( - coordinates("ObjectType", "description"), - PropertyDataFetcher.fetching("desc")) - .build(); -``` - -## The interesting parts of the DataFetchingEnvironment - -Every data fetcher is passed a ``graphql.schema.DataFetchingEnvironment`` object which allows it to know more about what is being fetched -and what arguments have been provided. Here are some of the more interesting parts of ``DataFetchingEnvironment``. - -* `` T getSource()`` - the ``source`` object is used to get information for a field. Its the object that is the result -of the parent field fetch. In the common case it is an in memory DTO object and hence simple POJO getters will be used for fields values. In more complex cases, you may examine it to know -how to get the specific information for the current field. As the graphql field tree is executed, each returned field value -becomes the ``source`` object for child fields. - -* `` T getRoot()`` - this special object is used to seed the graphql query. The ``root`` and the ``source`` is the same thing for the -top level fields. The root object never changes during the query and it may be null and hence no used. - -* ``Map getArguments()`` - this represents the arguments that have been provided on a field and the values of those -arguments that have been resolved from passed in variables, AST literals and default argument values. You use the arguments -of a field to control what values it returns. - -* `` T getGraphQLContext()`` - the context object is set up when the query is first executed and stays the same over the lifetime -of the query. The context is a map that can contain any value and is typically used to give each data fetcher some calling context needed -when trying to get field data. For example the current user credentials or the database connection parameters could be contained -with a context object so that data fetchers can make business layer calls. One of the key design decisions you have as a graphql -system designer is how you will use context in your fetchers if at all. Some people use a dependency framework that injects context into -data fetchers automatically and hence don't need to use this. - -* ``ExecutionStepInfo getExecutionStepInfo()`` - the field type information is a catch all bucket of field type information that is built up as -the query is executed. The following section explains more on this. - -* ``DataFetchingFieldSelectionSet getSelectionSet()`` - the selection set represents the child fields that have been "selected" under neath the -currently executing field. This can be useful to help look ahead to see what sub field information a client wants. The following section explains more on this. - -* ``ExecutionId getExecutionId()`` - each query execution is given a unique id. You can use this perhaps on logs to tag each individual -query. - -## The interesting parts of ExecutionStepInfo - -The execution of a graphql query creates a call tree of fields and their types. ``graphql.execution.ExecutionStepInfo.getParentTypeInfo`` -allows you to navigate upwards and see what types and fields led to the current field execution. - -Since this forms a tree path during execution, the ``graphql.execution.ExecutionStepInfo.getPath`` method returns the representation of that -path. This can be useful for logging and debugging queries. - -There are also helper methods there to help you get the underlying type name of non null and list wrapped types. - -## The interesting parts of DataFetchingFieldSelectionSet - -Imagine a query such as the following -```graphql -query { - products { - # the fields below represent the selection set - name - description - sellingLocations { - state - } - } -} -``` - -The sub fields here of the ``products`` field represent the selection set of that field. It can be useful to know what sub selection has been asked for -so the data fetcher can optimise the data access queries. For example an SQL backed system may be able to use the field sub selection to -only retrieve the columns that have been asked for. - -In the example above we have asked for ``sellingLocations`` information and hence we may be able to make an more efficient data access query where -we ask for product information and selling location information at the same time. diff --git a/versioned_docs/version-v23/data-mapping.md b/versioned_docs/version-v23/data-mapping.md deleted file mode 100644 index 8890f79..0000000 --- a/versioned_docs/version-v23/data-mapping.md +++ /dev/null @@ -1,319 +0,0 @@ ---- -title: "Data mapping" -date: 2018-09-09T12:52:46+10:00 -description: How graphql-java maps object data to graphql types ---- -# Mapping output data - -## How graphql maps object data to output types - -At its heart graphql is all about declaring a type schema and mapping that over backing runtime data. - -As the designer of the type schema, it is your challenge to get these elements to meet in the middle. - -For example imagine we want to have a graphql type schema as follows: - -```graphql -type Query { - products(match : String) : [Product] # a list of products -} - -type Product { - id : ID - name : String - description : String - cost : Float - tax : Float -} -``` - -We could then run queries over this simple schema via a something like the following: - -```graphql -query ProductQuery { - products(match : "Paper*") - { - id, name, cost, tax - } -} -``` - -We will have a ``DataFetcher`` on the ``Query.products`` field that is responsible for finding a list of products that match -the argument passed in. - -Now imagine we have 3 downstream services. One that gets product information, one that gets product cost information and one that calculates -product tax information. - -graphql-java works by running data fetchers over objects for all that information and mapping that back to the types specified in the schema. - -Our challenge is to take these 3 sources of information and present them as one unified type. - -We could specify data fetchers on the ``cost`` and ``tax`` fields that does those calculations but this is more to maintain and likely to lead to -`N+1 performance problems`. - -We would be better to do all this work in the ``Query.products`` data fetcher and create a unified view of the data at that point. - -```java -DataFetcher productsDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment env) { - String matchArg = env.getArgument("match"); - - List productInfo = getMatchingProducts(matchArg); - - List productCostInfo = getProductCosts(productInfo); - - List productTaxInfo = getProductTax(productInfo); - - return mapDataTogether(productInfo, productCostInfo, productTaxInfo); - } -}; -``` - -So looking at the code above we have 3 types of information that need to be combined in a way such that a graphql query above can get access to -the fields ``id, name, cost, tax`` - -We have two ways to create this mapping. One is via using a not type safe ``List`` structure and one by creating a type safe ``List`` class that -encapsulates this unified data. - -The ``Map`` technique could look like this. - -```java -private List mapDataTogetherViaMap(List productInfo, List productCostInfo, List productTaxInfo) { - List unifiedView = new ArrayList<>(); - for (int i = 0; i < productInfo.size(); i++) { - ProductInfo info = productInfo.get(i); - ProductCostInfo cost = productCostInfo.get(i); - ProductTaxInfo tax = productTaxInfo.get(i); - - Map objectMap = new HashMap<>(); - objectMap.put("id", info.getId()); - objectMap.put("name", info.getName()); - objectMap.put("description", info.getDescription()); - objectMap.put("cost", cost.getCost()); - objectMap.put("tax", tax.getTax()); - - unifiedView.add(objectMap); - } - return unifiedView; -} -``` - -The more type safe ``DTO`` technique could look like this. - -```java -class ProductDTO { - private final String id; - private final String name; - private final String description; - private final Float cost; - private final Float tax; - - public ProductDTO(String id, String name, String description, Float cost, Float tax) { - this.id = id; - this.name = name; - this.description = description; - this.cost = cost; - this.tax = tax; - } - - public String getId() { - return id; - } - - public String getName() { - return name; - } - - public String getDescription() { - return description; - } - - public Float getCost() { - return cost; - } - - public Float getTax() { - return tax; - } -} - -private List mapDataTogetherViaDTO(List productInfo, List productCostInfo, List productTaxInfo) { - List unifiedView = new ArrayList<>(); - for (int i = 0; i < productInfo.size(); i++) { - ProductInfo info = productInfo.get(i); - ProductCostInfo cost = productCostInfo.get(i); - ProductTaxInfo tax = productTaxInfo.get(i); - - ProductDTO productDTO = new ProductDTO( - info.getId(), - info.getName(), - info.getDescription(), - cost.getCost(), - tax.getTax() - ); - unifiedView.add(productDTO); - } - return unifiedView; -} -``` - -The graphql engine will now use that list of objects and run the query sub fields ``id, name, cost, tax`` over it. - -The default data fetcher in graphql-java is ``graphql.schema.PropertyDataFetcher`` which has both map support and POJO support. - -For every object in the list it will look for an ``id`` field, find it by name in a map or via a `getId()` getter method and that will be sent back in the graphql -response. It does that for every field in the query on that type. - -By creating a "unified view" at the higher level data fetcher, you have mapped between your runtime view of the data and the graphql schema view of the data. - -# Mapping input data - -## How graphql maps object data to input types - -Input type values are provided to as input to a graphql operation. The three kinds of types that can be input are **Enums**, **Scalars** and **Input Object Types** and the **List** and **Non-Null** variants of these -type kinds. - -The following outlines how graphql-java represents these type kinds in JVM runtime terms. - -### Enums - -graphql-java maps input `Enum` values by name. When you create the `graphql.schema.GraphQLEnumType` instance you can in theory map a name `java.lang.String` -to any JVM object. But this is not common at all. Mostly the name of the enum value is the actual value of it. - -```graphql -enum RGB { - RED, BLUE, GREEN -} - -scalar Pantone - -type Query { - toPantone( color : RGB) : Pantone -} -``` - -The `RGB` enum type above has the runtime JVM `java.lang.String` values of `"RED"`,`"BLUE"` and `"GREEN"` on input and output. - -The graphql-java system allow you to also input `java.lang.Enum` but this is not common at all for input. The reason it's not common is that this would -require you to turn your network input into Java enums and this is not a common action of serialisation frameworks. - -If the input value to the enum comes from the graphql operation document, then the input value will initially be a `graphql.language.EnumValue` which -is the AST representation of a graphql `Enum` value. This will be converted by graphql-java to a value by name. - -So a query document like the following will end up mapping the AST enum input value `RED` to the JVM value `"RED"`. - -```graphql -query MyColors { - toPantone(color : RED) -} -``` - -### Scalars - -The input values to a scalar are controlled by the scalar implementation. If their `graphql.schema.Coercing#parseValue(java.lang.Object, graphql.GraphQLContext, java.util.Locale)` accepts -a certain value then it's up to them to decide what JVM object is returned by the scalar code. - -The graphql-java scalars will return the following values as JVM object input values. - -* **String** aka ``GraphQLString`` - will produce a `java.lang.String` -* **Boolean** aka ``GraphQLBoolean`` - will produce a `java.lang.Boolean` -* **Int** aka ``GraphQLInt`` - will produce a `java.lang.Integer` -* **Float** aka ``GraphQLFloat`` - will produce a `java.lang.Double` -* **ID** aka ``GraphQLID`` - will produce a `java.lang.String` - -### Input Object Types - -Input object types are complex input types with named input fields. The runtime JVM representation will be a `java.util.Map`. Specifically -a map that ordered its keys in a predictable way. - -So imagine this input type named `Person` - -```graphql -input Person { - name : String! - age : Int! -} - -type Query { - contact(person : Person) : String -} -``` - -This will be represented at runtime as a `java.util.Map` containing a key `name` with a `java.lang.String` value and -a key `age` with a `java.lang.Integer` value. - -### Nonnull input types - -There is no special runtime object used for non-null input types other than the called code can safely assume that the object -is not a null value. - -```graphql -type Query { - field(arg1 : String!, arg2 : String) : String -} -``` - -So in the example above the `arg1` field argument will always be a non-null `java.lang.String` value while `arg2` may be `null` at runtime. - -### Lists of input types - -If the input type is a graphql list input type then the runtime JVM representation will be a `java.util.List` of the wrapped input type. - -So as an example, given - -```graphql -type Query { - field(arg : [String!]!) : String -} -``` - -The `arg` field argument would be a non-null `java.util.List` containing zero or more non-null `java.lang.String` values. - -In graphql you can say that a list is non-null and its entries are also non-null -however there is no way to say that the list has one or more entries. - -The `arg` field argument above could be an empty list. It will not be `null` but it could be empty. - -Complex runtime input values can be declared and the runtime representation will reflect that. - -```graphql -input Person { - name : String! - age : Int! - friends : [Person!] -} - -type Query { - contacts(people : [Person!]!) : String -} - -``` - -The `person` field argument would be a `java.util.List` containing one or more `java.util.Map`s, where each map contained named entries -and the `friends` map entry could itself be a `java.util.List` containing one or more `java.util.Map`s, so imagine -the following representation at runtime : - -```java - List.of( - Map.of("name", "Brad", - "age", 42, - "friends", List.of( - Map.of("name", "Bill", - "age", 17, - "friends", List.of() - ) - ) - ), - Map.of("name", "Andreas", - "age", 34, - "friends", List.of( - Map.of("name", "Ted", - "age", 15, - "friends", List.of() - ) - ) - ) - ); - -``` \ No newline at end of file diff --git a/versioned_docs/version-v23/directives.md b/versioned_docs/version-v23/directives.md deleted file mode 100644 index 53079dc..0000000 --- a/versioned_docs/version-v23/directives.md +++ /dev/null @@ -1,438 +0,0 @@ ---- -title: "SDL directives" -date: 2018-09-09T12:52:46+10:00 -description: How SDL Directives can be used to adjust the behavior of your graphql API ---- -# Directives - -[Directives](https://spec.graphql.org/draft/#sec-Language.Directives) are a powerful feature of GraphQL, allowing you to declare additional data to a schema or document. This data can then be used to change runtime execution or type validation behavior. - -There are two broad categories of directives, schema and operation directives. Schema directives are used on schema elements, and operation directives are used in operations within a GraphQL document. - -Often, operation directives are also called "query directives", although they can be used in any GraphQL operation. Whilst both names can be used interchangeably, note that GraphQL Java class names use "query directives". - -Note for those who love the details: the terminology of directives is a bit confusing. It is technically possible to define a directive that is both a schema and operation directive, in other words, defined for both schema and operation locations. However in practice, this is not common. - -# Schema Directives - -## Adding Behaviour - -Schema Definition Language (SDL) allows you to define your graphql types in a declarative manner without using code. However you still need to wire in all the -logic that backs those types and their fields. - -Schema directives allow you to do this. You can place directives on SDL elements and then write the backing logic -once and have it apply in many places. - -This idea of "writing it once" is the key concept here. There is only code place where -logic needs to be written and it is then applied to all the places in the SDL that have a named directive. - -This is a more powerful model than wiring in 10-100s of data fetchers like you might -with the conventional runtime wiring. - -For example imagine you have a type like the following - -```graphql -type Employee - id : ID - name : String! - startDate : String! - salary : Float -} -``` - -Publishing ``salary`` information to every one who can see this employee's ``name`` might not be what you want. Rather you want some sort of access control -to be in place such that if your role is that of a manager, you can see salaries, otherwise you get no data back. - -Directives can help you declare this more easily. Our declaration above would become something like the following: - -```graphql -directive @auth(role : String!) on FIELD_DEFINITION - -type Employee - id : ID - name : String! - startDate : String! - salary : Float @auth(role : "manager") -} -``` - -So we have said that only people who have the role ``manager`` are authorised to see this field. We can now use this directive on ANY field -that needs manager role authorisation. - - -```graphql -directive @auth(role : String!) on FIELD_DEFINITION - -type Employee - id : ID - name : String! - startDate : String! - salary : Float @auth(role : "manager") -} - -type Department { - id : ID - name : String - yearlyOperatingBudget : Float @auth(role : "manager") - monthlyMarketingBudget : Float @auth(role : "manager") -} -``` - -We now need to wire in the code that can handle any field with this ``@auth`` directive. We use ``graphql.schema.idl.SchemaDirectiveWiring`` to do this. - -```java -class AuthorisationDirective implements SchemaDirectiveWiring { - - @Override - public GraphQLFieldDefinition onField(SchemaDirectiveWiringEnvironment environment) { - String targetAuthRole = (String) environment.getAppliedDirective().getArgument("role").getArgumentValue().getValue(); - - // - // build a data fetcher that first checks authorisation roles before then calling the original data fetcher - // - DataFetcher originalDataFetcher = environment.getFieldDataFetcher(); - DataFetcher authDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment dataFetchingEnvironment) throws Exception { - AuthorisationCtx authContext = dataFetchingEnvironment.getGraphQlContext().get("authContext"); - - if (authContext.hasRole(targetAuthRole)) { - return originalDataFetcher.get(dataFetchingEnvironment); - } else { - return null; - } - } - }; - // - // now change the field definition to have the new authorising data fetcher - return environment.setFieldDataFetcher(authDataFetcher); - } -} - -// -// we wire this into the runtime by directive name -// -RuntimeWiring.newRuntimeWiring() - .directive("auth", new AuthorisationDirective()) - .build(); -``` - -This has modified the ``GraphQLFieldDefinition`` so that its original data fetcher will ONLY be called if the current authorisation context -has the ``manager`` role. You can use any mechanism for authorisation, for example Spring Security or anything else. - -You would provide this authorisation checker into the execution "context" object of the graphql input, so it can then be accessed later in the -``DataFetchingEnvironment``. - -```java -AuthorisationCtx authCtx = AuthorisationCtx.obtain(); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .query(query) - .graphQLContext(builder -> builder.put("authContext", authCtx)) - .build(); -``` - -## Declaring Directives - -In order to use a directive in SDL, the graphql specification requires that you MUST declare its shape before using it. Our ``@auth`` directive example above needs to be -declared like so before use. - -```graphql -# This is a directive declaration -directive @auth(role : String!) on FIELD_DEFINITION - -type Employee - id : ID - - # and this is a usage of that declared directive - salary : Float @auth(role : "manager") -} -``` - -The one exception to this is the ``@deprecated`` directive which is implicitly declared for you as follows: - -```graphql -directive @deprecated(reason: String = "No longer supported") on FIELD_DEFINITION | ENUM_VALUE -``` - -The valid SDL directive locations are as follows: - -```graphql -SCHEMA, -SCALAR, -OBJECT, -FIELD_DEFINITION, -ARGUMENT_DEFINITION, -INTERFACE, -UNION, -ENUM, -ENUM_VALUE, -INPUT_OBJECT, -INPUT_FIELD_DEFINITION -``` - -Directives are commonly applied to fields definitions but as you can see there are a number of places they can be applied. - -## Another Example - Date Formatting - -Date formatting is a cross-cutting concern that we should only have to write once and apply it in many areas. - -The following demonstrates an example schema directive that can apply date formatting to fields that are ``LocaleDate`` objects. - -What's great in this example is that it adds an extra ``format`` argument to each field that it is applied to. So the clients can -opt into what ever date formatting you provide per request. - -```graphql -directive @dateFormat on FIELD_DEFINITION - -type Query { - dateField : String @dateFormat -} -``` - -Then our runtime code could be : - -```java -public static class DateFormatting implements SchemaDirectiveWiring { - @Override - public GraphQLFieldDefinition onField(SchemaDirectiveWiringEnvironment environment) { - GraphQLFieldDefinition field = environment.getElement(); - GraphQLFieldsContainer parentType = environment.getFieldsContainer(); - // - // DataFetcherFactories.wrapDataFetcher is a helper to wrap data fetchers so that CompletionStage is handled correctly - // along with POJOs - // - DataFetcher originalFetcher = environment.getCodeRegistry().getDataFetcher(parentType, field); - DataFetcher dataFetcher = DataFetcherFactories.wrapDataFetcher(originalFetcher, ((dataFetchingEnvironment, value) -> { - DateTimeFormatter dateTimeFormatter = buildFormatter(dataFetchingEnvironment.getArgument("format")); - if (value instanceof LocalDateTime) { - return dateTimeFormatter.format((LocalDateTime) value); - } - return value; - })); - - // - // This will extend the field by adding a new "format" argument to it for the date formatting - // which allows clients to opt into that as well as wrapping the base data fetcher so it - // performs the formatting over top of the base values. - // - FieldCoordinates coordinates = FieldCoordinates.coordinates(parentType, field); - environment.getCodeRegistry().dataFetcher(coordinates, dataFetcher); - - return field.transform(builder -> builder - .argument(GraphQLArgument - .newArgument() - .name("format") - .type(Scalars.GraphQLString) - .defaultValueProgrammatic("dd-MM-YYYY") - ) - ); - } - - private DateTimeFormatter buildFormatter(String format) { - String dtFormat = format != null ? format : "dd-MM-YYYY"; - return DateTimeFormatter.ofPattern(dtFormat); - } -} - -static GraphQLSchema buildSchema() { - - String sdlSpec = "directive @dateFormat on FIELD_DEFINITION\n" + - "type Query {\n" + - " dateField : String @dateFormat \n" + - "}"; - - TypeDefinitionRegistry registry = new SchemaParser().parse(sdlSpec); - - RuntimeWiring runtimeWiring = RuntimeWiring.newRuntimeWiring() - .directive("dateFormat", new DateFormatting()) - .build(); - - return new SchemaGenerator().makeExecutableSchema(registry, runtimeWiring); -} - -public static void main(String[] args) { - GraphQLSchema schema = buildSchema(); - GraphQL graphql = GraphQL.newGraphQL(schema).build(); - - Map root = new HashMap<>(); - root.put("dateField", LocalDateTime.of(1969, 10, 8, 0, 0)); - - String query = "" + - "query {\n" + - " default : dateField \n" + - " usa : dateField(format : \"MM-dd-YYYY\") \n" + - "}"; - - ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .root(root) - .query(query) - .build(); - - ExecutionResult executionResult = graphql.execute(executionInput); - Map data = executionResult.getData(); - - // data['default'] == '08-10-1969' - // data['usa'] == '10-08-1969' -} -``` - -Notice the SDL definition did not have a ``format`` argument yet once the directive wiring is applied, it is added -to the field definition and hence clients can begin to use it. - -Please note that graphql-java does not ship with this implementation. It is merely provided here as -an example of what you could add yourself. - - -## Chaining Behaviour - -The directives are applied in the order they are encountered. For example imagine directives that changed the case of a field value. - -```graphql -directive @uppercase on FIELD_DEFINITION -directive @lowercase on FIELD_DEFINITION -directive @mixedcase on FIELD_DEFINITION -directive @reversed on FIELD_DEFINITION - -type Query { - lowerCaseValue : String @uppercase - upperCaseValue : String @lowercase - mixedCaseValue : String @mixedcase - - # - # directives are applied in order hence this will be lower, then upper, then mixed then reversed - # - allTogetherNow : String @lowercase @uppercase @mixedcase @reversed -} -``` - -When the above was executed each directive would be applied one on top of the other. Each directive implementation should be careful -to preserve the previous data fetcher to retain behaviour (unless of course you mean to throw it away) - -# Operation Directives (also known as Query Directives) -Let's define an operation directive `@cache`, which can be used on operation fields. - -```graphql -# Can only be used on a field in a GraphQL document -directive @cache on FIELD - -type Query { - pet: Pet -} - -type Pet { - name: String - lastTimeOutside: String -} -``` - -We can only use this `@cache` directive on fields in a GraphQL document, which contains operations. - -```graphql -query myPet { - pet { - name - lastTimeOutside @cache - } -} -``` - -Directives can also have arguments. Let's add a `maxAge` argument, with a default value of 1000. - -```graphql -# Argument with a default value -directive @cache(maxAge: Int = 1000) on FIELD -``` - -In a GraphQL document, we could use our updated `@cache` directive to specify a maxAge value: - -```graphql -query myPet { - pet { - name - lastTimeOutside @cache(maxAge: 500) - } -} -``` - -All custom schema and operation directives don't have any effect until we implement new custom behavior. For example, the operation above where `lastTimeOutside` has a `@cache` directive behaves exactly the same as without it, until we have implemented some new logic. We'll demonstrate implementation of behavior for directives in the next section of this page. - -Here is an operation directive with all possible eight locations in a GraphQL document, which contains operations. - -```graphql -type @foo on QUERY | MUTATION | SUBSCRIPTION | - FIELD | FRAGMENT_DEFINITION | FRAGMENT_SPREAD | - INLINE_FRAGMENT | VARIABLE_DEFINITION - -query someQuery( - $var: String @foo # Variable definition - ) @foo # Query - { - field @foo # Field - ... on Query @foo { # Inline fragment - field - } - ...someFragment @foo # Fragment spread -} - -fragment someFragment @foo { # Fragment - field -} - -mutation someMutation @foo { # Mutation - field -} - -subscription someSubscription @foo { # Subscription - field -} -``` - -Although it is technically possible to define a directive that includes locations associated with schema and operation directives, in practice this is not common. - -## Implementing logic for operation directives - -Let's implement the logic for a `@cache` operation directive: - -```graphql -directive @cache(maxAge: Int) on FIELD -``` - -This is an operation directive that enables clients to specify how recent cache entries must be. This is an example of an operation directive that can change execution. - -For example, a client specifies that `hello` cache entries must not be older than 500 ms, otherwise we re-fetch these entries. - -```graphql -query caching { - hello @cache(maxAge: 500) -} -``` - -In GraphQL Java, operation directive definitions are represented as `GraphQLDirective`s. Operation directive usages are represented as `QueryAppliedDirective`s. Note that the word "query" here is misleading, as it actually refers to a directive that applies to any of the three GraphQL operations: queries, mutations, or subscriptions. Operation directives are still commonly referred to as "query" directives, hence the class name. - -Usages of operation directives are represented in GraphQL Java as instances of `QueryAppliedDirective`, and provided argument values are represented as `QueryAppliedDirectiveArgument`. - -We can access operation directives usage during execution via `getQueryDirectives()` in `DataFetchingEnvironment`. For example: - -```java -DataFetcher cacheDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment env) { - QueryDirectives queryDirectives = env.getQueryDirectives(); - List cacheDirectives = queryDirectives - .getImmediateAppliedDirective("cache"); - // We get a List, because we could have - // repeatable directives - if (cacheDirectives.size() > 0) { - QueryAppliedDirective cache = cacheDirectives.get(0); - QueryAppliedDirectiveArgument maxAgeArgument - = cache.getArgument("maxAge"); - int maxAge = maxAgeArgument.getValue(); - - // Now we know the max allowed cache time and - // can make use of it - // Your logic goes here - } - } -}; -``` diff --git a/versioned_docs/version-v23/exceptions.md b/versioned_docs/version-v23/exceptions.md deleted file mode 100644 index 93624b3..0000000 --- a/versioned_docs/version-v23/exceptions.md +++ /dev/null @@ -1,63 +0,0 @@ ---- -title: "Exceptions" -date: 2018-09-09T12:52:46+10:00 -description: Outlines the exceptions used in graphql-java ---- -# Runtime Exceptions - -Runtime exceptions can be thrown by the graphql engine if certain exceptional situations are encountered. The following -are a list of the exceptions that can be thrown all the way out of a ``graphql.execute(...)`` call. - -These are not graphql errors in execution but rather totally unacceptable conditions in which to execute a graphql query. - - - `graphql.schema.CoercingSerializeException` - - is thrown when a value cannot be serialised by a Scalar type, for example - a String value being coerced as an Int. - - - - `graphql.schema.CoercingParseValueException` - - is thrown when a value cannot be parsed by a Scalar type, for example - a String input value being parsed as an Int. - - - - `graphql.execution.UnresolvedTypeException` - - is thrown if a `graphql.schema.TypeResolver` fails to provide a concrete - object type given a interface or union type. - - - - `graphql.execution.NonNullableValueCoercedAsNullException` - - is thrown if a non null variable argument is coerced as a - null value during execution. - - - - `graphql.execution.InputMapDefinesTooManyFieldsException` - - is thrown if a map used for an input type object contains - more keys than is defined in that input type. - - - - `graphql.schema.validation.InvalidSchemaException` - - is thrown if the schema is not valid when built via - `graphql.schema.GraphQLSchema.Builder#build()` - - - `graphql.execution.UnknownOperationException` - -if multiple operations are defined in the query and -the operation name is missing or there is no matching operation name -contained in the GraphQL query. - - - `graphql.GraphQLException` - - is thrown as a general purpose runtime exception, for example if the code cant - access a named field when examining a POJO, it is analogous to a RuntimeException if you will. - - - - `graphql.AssertException` - - is thrown as a low level code assertion exception for truly unexpected code conditions, things we assert -should never happen in practice. diff --git a/versioned_docs/version-v23/execution.md b/versioned_docs/version-v23/execution.md deleted file mode 100644 index 44e5d46..0000000 --- a/versioned_docs/version-v23/execution.md +++ /dev/null @@ -1,512 +0,0 @@ ---- -title: "Execution" -date: 2018-09-09T12:52:46+10:00 -description: How to execute a query using the graphql-java engine ---- -# Execution - -## Queries - -To execute a query against a schema, build a new ``GraphQL`` object with the appropriate arguments and then -call ``execute()``. - -The result of a query is an ``ExecutionResult`` which is the query data and/or a list of errors. - -```java -GraphQLSchema schema = GraphQLSchema.newSchema() - .query(queryType) - .build(); - -GraphQL graphQL = GraphQL.newGraphQL(schema) - .build(); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput().query("query { hero { name } }") - .build(); - -ExecutionResult executionResult = graphQL.execute(executionInput); - -Object data = executionResult.getData(); -List errors = executionResult.getErrors(); -``` - -More complex query examples can be found in the [StarWars query tests](https://github.com/graphql-java/graphql-java/blob/master/src/test/groovy/graphql/StarWarsQueryTest.groovy) - -## Data Fetchers - -Each graphql field type has a ``graphql.schema.DataFetcher`` associated with it. Other graphql implementations often call this -type of code *resolvers*. - -Often you can rely on ``graphql.schema.PropertyDataFetcher`` to examine Java POJO objects to -provide field values from them. If your don't specify a data fetcher on a field, this is what will be used. - -However you will need to fetch your top level domain objects via your own custom data fetchers. This might involve making -a database call or contacting another system over HTTP say. - -``graphql-java`` is not opinionated about how you get your domain data objects, that is very much your concern. It is also not -opinionated on user authorisation to that data. You should push all that logic into your business logic layer code. - -A data fetcher might look like this: - -```java -DataFetcher userDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - return fetchUserFromDatabase(environment.getArgument("userId")); - } -}; -``` - -Each ``DataFetcher`` is passed a ``graphql.schema.DataFetchingEnvironment`` object which contains what field is being fetched, what -arguments have been supplied to the field and other information such as the field's parent object, the query root object or the query -context object. - -In the above example, the execution will wait for the data fetcher to return before moving on. You can make execution of -the ``DataFetcher`` asynchronous by returning a ``CompletionStage`` to data, that is explained more further down this page. - -## Exceptions while fetching data - -If an exception happens during the data fetcher call, then the execution strategy by default will make a -``graphql.ExceptionWhileDataFetching`` error and add it to the list of errors on the result. Remember graphql allows -partial results with errors. - -Here is the code for the standard behaviour. - -```java -public class SimpleDataFetcherExceptionHandler implements DataFetcherExceptionHandler { - - static final SimpleDataFetcherExceptionHandler defaultImpl = new SimpleDataFetcherExceptionHandler(); - - private DataFetcherExceptionHandlerResult handleExceptionImpl(DataFetcherExceptionHandlerParameters handlerParameters) { - Throwable exception = unwrap(handlerParameters.getException()); - SourceLocation sourceLocation = handlerParameters.getSourceLocation(); - ResultPath path = handlerParameters.getPath(); - - ExceptionWhileDataFetching error = new ExceptionWhileDataFetching(path, exception, sourceLocation); - logException(error, exception); - - return DataFetcherExceptionHandlerResult.newResult().error(error).build(); - } - - @Override - public CompletableFuture handleException(DataFetcherExceptionHandlerParameters handlerParameters) { - return CompletableFuture.completedFuture(handleExceptionImpl(handlerParameters)); - } - - // See class for other methods -} -``` - -If the exception you throw is itself a `GraphqlError` then it will transfer the message and custom extensions attributes from that exception -into the `ExceptionWhileDataFetching` object. This allows you to place your own custom attributes into the graphql error that is sent back -to the caller. - -For example imagine your data fetcher threw this exception. The `foo` and `fizz` attributes would be included in the resultant -graphql error. - -```java -class CustomRuntimeException extends RuntimeException implements GraphQLError { - @Override - public Map getExtensions() { - Map customAttributes = new LinkedHashMap<>(); - customAttributes.put("foo", "bar"); - customAttributes.put("fizz", "whizz"); - return customAttributes; - } - - @Override - public List getLocations() { - return null; - } - - @Override - public ErrorType getErrorType() { - return ErrorType.DataFetchingException; - } -} -``` - -You can change this behaviour by creating your own ``graphql.execution.DataFetcherExceptionHandler`` exception handling code and -giving that to the execution strategy. - -For example the code above records the underlying exception and stack trace. Some people -may prefer not to see that in the output error list. So you can use this mechanism to change that -behaviour. - -```java -DataFetcherExceptionHandler handler = new DataFetcherExceptionHandler() { - @Override - public CompletableFuture handleException(DataFetcherExceptionHandlerParameters handlerParameters) { - // do your custom handling here. The parameters have all you need - } -}; -ExecutionStrategy executionStrategy = new AsyncExecutionStrategy(handler); -``` - -## Returning data and errors - -It is also possible to return both data and multiple errors in a ``DataFetcher`` implementation by returning -`graphql.execution.DataFetcherResult` either directly or wrapped in a ``CompletableFuture`` instance for asynchronous -execution. This is a useful when your ``DataFetcher`` may need to retrieve data from multiple sources or from another -GraphQL resource. - -In this example, the ``DataFetcher`` retrieves a user from another GraphQL resource and returns its data and errors. - -```java -DataFetcher userDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - Map response = fetchUserFromRemoteGraphQLResource(environment.getArgument("userId")); - List errors = response.get("errors").stream() - .map(MyMapGraphQLError::new) - .collect(Collectors.toList()); - return new DataFetcherResult(response.get("data"), errors); - } -}; -``` - - -## Serializing results to JSON - -The most common way to call graphql is over HTTP and to expect a JSON response back. So you need to turn an -`graphql.ExecutionResult` into a JSON payload. - -A common way to do that is use a JSON serialisation library like Jackson or GSON. However exactly how they interpret the -data result is particular to them. For example `nulls` are important in graphql results and hence you must set up the json mappers -to include them. - -To ensure you get a JSON result that conforms 100% to the graphql spec, you should call `toSpecification` on the result and then -send that back as JSON. - -This will ensure that the result follows the specification outlined in http://facebook.github.io/graphql/#sec-Response - - -```java -ExecutionResult executionResult = graphQL.execute(executionInput); - -Map toSpecificationResult = executionResult.toSpecification(); - -sendAsJson(toSpecificationResult); -``` - -## Mutations - -A good starting point to learn more about mutating data in graphql is http://graphql.org/learn/queries/#mutations - -In essence you need to define a ``GraphQLObjectType`` that takes arguments as input. Those arguments are what you can use to mutate your data store -via the data fetcher invoked. - -The mutation is invoked via a query like : - -```graphql -mutation CreateReviewForEpisode($ep: Episode!, $review: ReviewInput!) { - createReview(episode: $ep, review: $review) { - stars - commentary - } -} -``` - -You need to send in arguments during that mutation operation, in this case for the variables for ``$ep`` and ``$review`` - -You would create types like this to handle this mutation : - -```java -GraphQLInputObjectType episodeType = newInputObject() - .name("Episode") - .field(newInputObjectField() - .name("episodeNumber") - .type(Scalars.GraphQLInt)) - .build(); - -GraphQLInputObjectType reviewInputType = newInputObject() - .name("ReviewInput") - .field(newInputObjectField() - .name("stars") - .type(Scalars.GraphQLString) - .name("commentary") - .type(Scalars.GraphQLString)) - .build(); - -GraphQLObjectType reviewType = newObject() - .name("Review") - .field(newFieldDefinition() - .name("stars") - .type(GraphQLString)) - .field(newFieldDefinition() - .name("commentary") - .type(GraphQLString)) - .build(); - -GraphQLObjectType createReviewForEpisodeMutation = newObject() - .name("CreateReviewForEpisodeMutation") - .field(newFieldDefinition() - .name("createReview") - .type(reviewType) - .argument(newArgument() - .name("episode") - .type(episodeType) - ) - .argument(newArgument() - .name("review") - .type(reviewInputType) - ) - ) - .build(); - -GraphQLCodeRegistry codeRegistry = newCodeRegistry() - .dataFetcher( - coordinates("CreateReviewForEpisodeMutation", "createReview"), - mutationDataFetcher() - ) - .build(); - - -GraphQLSchema schema = GraphQLSchema.newSchema() - .query(queryType) - .mutation(createReviewForEpisodeMutation) - .codeRegistry(codeRegistry) - .build(); -``` - -Notice that the input arguments are of type ``GraphQLInputObjectType``. This is important. Input arguments can ONLY be of that type -and you cannot use output types such as ``GraphQLObjectType``. Scalars types are considered both input and output types. - -The data fetcher here is responsible for executing the mutation and returning some sensible output values. - -```java -private DataFetcher mutationDataFetcher() { - return new DataFetcher() { - @Override - public Review get(DataFetchingEnvironment environment) { - // - // The graphql specification dictates that input object arguments MUST - // be maps. You can convert them to POJOs inside the data fetcher if that - // suits your code better - // - // See http://facebook.github.io/graphql/October2016/#sec-Input-Objects - // - Map episodeInputMap = environment.getArgument("episode"); - Map reviewInputMap = environment.getArgument("review"); - - // - // in this case we have type safe Java objects to call our backing code with - // - EpisodeInput episodeInput = EpisodeInput.fromMap(episodeInputMap); - ReviewInput reviewInput = ReviewInput.fromMap(reviewInputMap); - - // make a call to your store to mutate your database - Review updatedReview = reviewStore().update(episodeInput, reviewInput); - - // this returns a new view of the data - return updatedReview; - } - }; -} -``` - -Notice how it calls a data store to mutate the backing database and then returns a ``Review`` object that can be used as the output values -to the caller. - -## Asynchronous Execution - -graphql-java uses fully asynchronous execution techniques when it executes queries. You can get the ``CompletableFuture`` to results by calling -``executeAsync()`` like this - -```java -GraphQL graphQL = buildSchema(); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput().query("query { hero { name } }") - .build(); - -CompletableFuture promise = graphQL.executeAsync(executionInput); - -promise.thenAccept(executionResult -> { - // here you might send back the results as JSON over HTTP - encodeResultToJsonAndSendResponse(executionResult); -}); - -promise.join(); -``` - -The use of ``CompletableFuture`` allows you to compose actions and functions that will be applied when the execution completes. The final -call to ``.join()`` waits for the execution to happen. - -In fact under the covers, the graphql-java engine uses asynchronous execution and makes the ``.execute()`` method appear synchronous by -calling join for you. So the following code is in fact the same. - -```java -ExecutionResult executionResult = graphQL.execute(executionInput); - -// the above is equivalent to the following code (in long hand) - -CompletableFuture promise = graphQL.executeAsync(executionInput); -ExecutionResult executionResult2 = promise.join(); -``` - -If a ``graphql.schema.DataFetcher`` returns a ``CompletableFuture`` object then this will be composed into the overall asynchronous -query execution. This means you can fire off a number of field fetching requests in parallel. Exactly what -threading strategy you use is up to your data fetcher code. - -The following code uses the standard Java ``java.util.concurrent.ForkJoinPool.commonPool()`` thread executor to supply values in another -thread. - -```java -DataFetcher userDataFetcher = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment environment) { - CompletableFuture userPromise = CompletableFuture.supplyAsync(() -> { - return fetchUserViaHttp(environment.getArgument("userId")); - }); - return userPromise; - } -}; -``` - -The code above is written in long form. With Java 8 lambdas it can be written more succinctly as follows - -```java -DataFetcher userDataFetcher = environment -> CompletableFuture.supplyAsync( - () -> fetchUserViaHttp(environment.getArgument("userId"))); -``` - -The graphql-java engine ensures that all the ``CompletableFuture`` objects are composed together to provide an execution result -that follows the graphql specification. - -There is a helpful shortcut in graphql-java to create asynchronous data fetchers. -Use ``graphql.schema.AsyncDataFetcher.async(DataFetcher)`` to wrap a -``DataFetcher``. This can be used with static imports to produce more readable code. - -```java -DataFetcher userDataFetcher = async(environment -> fetchUserViaHttp(environment.getArgument("userId"))); - -``` - -## Execution Strategies - -A class derived from ``graphql.execution.ExecutionStrategy`` is used to run a query or mutation. A number of different -strategies are provided with graphql-java and if you are really keen you can even write your own. - -You can wire in what execution strategy to use when you create the ``GraphQL`` object. - -```java -GraphQL.newGraphQL(schema) - .queryExecutionStrategy(new AsyncExecutionStrategy()) - .mutationExecutionStrategy(new AsyncSerialExecutionStrategy()) - .build(); -``` - -In fact the code above is equivalent to the default settings and is a very sensible choice of execution -strategies for most cases. - -## AsyncExecutionStrategy - -By default the "query" execution strategy is ``graphql.execution.AsyncExecutionStrategy`` which will dispatch -each field as ``CompletableFuture`` objects and not care which ones complete first. This strategy allows for the most -performant execution. - -The data fetchers invoked can themselves return ``CompletionStage`` values and this will create -fully asynchronous behaviour. - -So imagine a query as follows - -```graphql -query { - hero { - enemies { - name - } - friends { - name - } - } -} -``` - -The ``AsyncExecutionStrategy`` is free to dispatch the *enemies* field at the same time as the *friends* field. It does not -have to do *enemies* first followed by *friends*, which would be less efficient. - -It will however assemble the results in order. The query result will follow the graphql specification and return object values -assembled in query field order. Only the execution of data fetching is free to be in any order. - -This behaviour is allowed in the graphql specification and in fact is actively encouraged http://facebook.github.io/graphql/#sec-Query -for read only queries. - -See `specification `_ for details. - -## AsyncSerialExecutionStrategy - -The graphql specification says that mutations MUST be executed serially and in the order in which the -query fields occur. - -So ``graphql.execution.AsyncSerialExecutionStrategy`` is used by default for mutations and will ensure that each -field is completed before it processes the next one and so forth. You can still return ``CompletionStage`` objects -in the mutation data fetchers, however they will be executed serially and will be completed before the next -mutation field data fetcher is dispatched. - -## SubscriptionExecutionStrategy - -Graphql subscriptions allows you to create stateful subscriptions to graphql data. You uses ``SubscriptionExecutionStrategy`` -as your execution strategy as it has the support for the reactive-streams APIs. - -See http://www.reactive-streams.org/ for more information on the reactive ``Publisher`` and ``Subscriber`` interfaces. - -Also see the page on [subscriptions](subscriptions.md) for more details on how to write a subscription based graphql service. - -## Query Caching - -Before the ``graphql-java`` engine executes a query it must be parsed and validated, and this process can be somewhat time consuming. - -To avoid the need for re-parse/validate the ``GraphQL.Builder`` allows an instance of ``PreparsedDocumentProvider`` to reuse ``Document`` instances. - -Please note that this does not cache the result of the query, only the parsed ``Document``. - -```java -Cache cache = Caffeine.newBuilder().maximumSize(10_000).build(); (1) - -PreparsedDocumentProvider preparsedCache = new PreparsedDocumentProvider() { - @Override - public CompletableFuture getDocumentAsync(ExecutionInput executionInput, Function computeFunction) { - Function mapCompute = key -> computeFunction.apply(executionInput); - return CompletableFuture.completedFuture(cache.get(executionInput.getQuery(), mapCompute)); - } -}; - -GraphQL graphQL = GraphQL.newGraphQL(StarWarsSchema.starWarsSchema) - .preparsedDocumentProvider(preparsedCache) (2) - .build(); -``` - -1. Create an instance of preferred cache instance, here is `Caffeine `_ used as it is a high quality caching solution. The cache instance should be -thread safe and shared. -2. The ``PreparsedDocumentProvider`` is a functional interface with only a getDocument method This is called to get a ``cached`` pre-parsed query and if its not present, then the computeFunction can be called to parse and validate the query. - - -In order to achieve high cache hit ratio it is recommended that field arguments are passed in as variables instead of directly in the query. - -The following query: - -```graphql -query HelloTo { - sayHello(to: "Me") { - greeting - } -} -``` - -Should be rewritten as: - -```graphql -query HelloTo($to: String!) { - sayHello(to: $to) { - greeting - } -} -``` -with variables: -```json -{ - "to": "Me" -} -``` - -The query is now reused regardless of variable values provided. diff --git a/versioned_docs/version-v23/field-selection.md b/versioned_docs/version-v23/field-selection.md deleted file mode 100644 index 4681cde..0000000 --- a/versioned_docs/version-v23/field-selection.md +++ /dev/null @@ -1,93 +0,0 @@ ---- -title: "Field selection" -date: 2018-09-09T12:52:46+10:00 -description: How you can efficiently look ahead at the selected fields lower in the query ---- -# Field Selection - -Field selection occurs when you have a compound type (an object or interface type) and you select a set of sub fields -from that type. - -For example given the following query : - -```graphql -query { - user(userId : "xyz") { - name - age - weight - friends { - name - } - } -} -``` - -The field selection set of the ``user`` field is ``name``, ``age``, ``weight``, ``friends`` and ``friends/name`` - -Knowing the field selection set can help make ``DataFetcher``s more efficient. For example in the above query -imagine that the ``user`` field is backed by an SQL database system. The data fetcher could look ahead into the field selection -set and use different queries because it knows the caller wants friend information as well as user information. - -``graphql.schema.DataFetchingFieldSelectionSet`` is used to represent this field selection set. It gives you maps -of the fields and their ``graphql.schema.GraphQLFieldDefinition``s and argument values. - -```java -DataFetcher smartUserDF = new DataFetcher() { - @Override - public Object get(DataFetchingEnvironment env) { - String userId = env.getArgument("userId"); - - DataFetchingFieldSelectionSet selectionSet = env.getSelectionSet(); - if (selectionSet.contains("friends/*")) { - return getUserAndTheirFriends(userId); - } else { - return getUser(userId); - } - } -}; -``` - -A glob path matching system is used for addressing fields in the selection. Its based on ``java.nio.file.FileSystem#getPathMatcher`` -as an implementation. - -This will allow you to use ``*``, ``**`` and ``?`` as special matching characters such that ``invoice/customer*`` would -match an ``invoice`` field with child fields that start with ``customer``. Each level of field is separated by ``/`` just like -a file system path. - -There are methods that allow you to get more detailed information about the fields in the selection set. For example -if you are using [Relay](https://facebook.github.io/relay/docs/en/graphql-server-specification.html) often you want to know what fields have -been request in the ``Connection`` section of the query. - -So given a query like: - -```graphql -query { - users(first:10) { - edges { - node { - name - age - weight - friends { - name - } - } - } - } -} -``` - -you can write code that gets the details of each specific field that matches a glob. - -```java -DataFetchingFieldSelectionSet selectionSet = env.getSelectionSet(); -List nodeFields = selectionSet.getFields("edges/nodes/*"); -nodeFields.forEach(selectedField -> { - System.out.println(selectedField.getName()); - System.out.println(selectedField.getFieldDefinition().getType()); - - DataFetchingFieldSelectionSet innerSelectionSet = selectedField.getSelectionSet(); - // this forms a tree of selection and you can get very fancy with it -} -``` diff --git a/versioned_docs/version-v23/field-visibility.md b/versioned_docs/version-v23/field-visibility.md deleted file mode 100644 index 0dbc8be..0000000 --- a/versioned_docs/version-v23/field-visibility.md +++ /dev/null @@ -1,78 +0,0 @@ ---- -title: "Field visibility" -date: 2019-02-12T12:00:00+10:00 -description: How control the visibility of the fields defined in a schema ---- - -# Limiting Field Visibility - -By default every field defined in a `GraphqlSchema` is available. There are cases where you may want to restrict certain fields -depending on the user. - -You can do this by using a `graphql.schema.visibility.GraphqlFieldVisibility` implementation and attaching it to the schema. - -A simple `graphql.schema.visibility.BlockedFields` implementation based on fully qualified field name is provided. - -```java -GraphqlFieldVisibility blockedFields = BlockedFields.newBlock() - .addPattern("Character.id") - .addPattern("Droid.appearsIn") - .addPattern(".*\\.hero") // it uses regular expressions - .build(); -GraphQLCodeRegistry codeRegistry = GraphQLCodeRegistry.newCodeRegistry() - .fieldVisibility(blockedFields) - .build(); - -GraphQLSchema schema = GraphQLSchema.newSchema() - .query(StarWarsSchema.queryType) - .codeRegistry(codeRegistry) - .build(); -``` - -There is also another implementation that prevents instrumentation from being able to be performed on your schema, if that is a requirement. - -Note that this puts your server in contravention of the graphql specification and expectations of most clients so use this with caution. - -```java -GraphQLCodeRegistry codeRegistry = GraphQLCodeRegistry.newCodeRegistry() - .fieldVisibility(NoIntrospectionGraphqlFieldVisibility.NO_INTROSPECTION_FIELD_VISIBILITY) - .build(); -GraphQLSchema schema = GraphQLSchema.newSchema() - .query(StarWarsSchema.queryType) - .codeRegistry(codeRegistry) - .build(); -``` - -You can create your own derivation of `GraphqlFieldVisibility` to check what ever you need to do to work out what fields -should be visible or not. - -```java -class CustomFieldVisibility implements GraphqlFieldVisibility { - - final YourUserAccessService userAccessService; - - CustomFieldVisibility(YourUserAccessService userAccessService) { - this.userAccessService = userAccessService; - } - - @Override - public List getFieldDefinitions(GraphQLFieldsContainer fieldsContainer) { - if ("AdminType".equals(fieldsContainer.getName())) { - if (!userAccessService.isAdminUser()) { - return Collections.emptyList(); - } - } - return fieldsContainer.getFieldDefinitions(); - } - - @Override - public GraphQLFieldDefinition getFieldDefinition(GraphQLFieldsContainer fieldsContainer, String fieldName) { - if ("AdminType".equals(fieldsContainer.getName())) { - if (!userAccessService.isAdminUser()) { - return null; - } - } - return fieldsContainer.getFieldDefinition(fieldName); - } -} -``` diff --git a/versioned_docs/version-v23/getting-started.mdx b/versioned_docs/version-v23/getting-started.mdx deleted file mode 100644 index a8deeaf..0000000 --- a/versioned_docs/version-v23/getting-started.mdx +++ /dev/null @@ -1,147 +0,0 @@ ---- -sidebar_position: 1 -title: "Getting started" -date: 2018-09-09T12:52:46+10:00 -description: GraphQL basics. Start here if you're new to GraphQL :-) ---- - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - -# Getting started - -`graphql-java` requires at least [Java 11](https://www.graphql-java.com/blog/java-11-required). - -## How to use the latest release with Gradle - -Make sure `mavenCentral` is among your repos: - - - - -```groovy -repositories { - mavenCentral() -} - -dependencies { - implementation 'com.graphql-java:graphql-java:23.0' -} -``` - - - - -```kotlin -repositories { - mavenCentral() -} - -dependencies { - implementation("com.graphql-java:graphql-java:23.0") -} -``` - - - -## How to use the latest release with Maven - -Dependency: -```xml - - com.graphql-java - graphql-java - 23.0 - -``` - -## Hello World - -This is the famous "hello world" in `graphql-java`: - -```java -import graphql.ExecutionResult; -import graphql.GraphQL; -import graphql.schema.GraphQLSchema; -import graphql.schema.StaticDataFetcher; -import graphql.schema.idl.RuntimeWiring; -import graphql.schema.idl.SchemaGenerator; -import graphql.schema.idl.SchemaParser; -import graphql.schema.idl.TypeDefinitionRegistry; - -import static graphql.schema.idl.RuntimeWiring.newRuntimeWiring; - -public class HelloWorld { - - public static void main(String[] args) { - String schema = "type Query{hello: String}"; - - SchemaParser schemaParser = new SchemaParser(); - TypeDefinitionRegistry typeDefinitionRegistry = schemaParser.parse(schema); - - RuntimeWiring runtimeWiring = newRuntimeWiring() - .type("Query", builder -> builder.dataFetcher("hello", new StaticDataFetcher("world"))) - .build(); - - SchemaGenerator schemaGenerator = new SchemaGenerator(); - GraphQLSchema graphQLSchema = schemaGenerator.makeExecutableSchema(typeDefinitionRegistry, runtimeWiring); - - GraphQL build = GraphQL.newGraphQL(graphQLSchema).build(); - ExecutionResult executionResult = build.execute("{hello}"); - - System.out.println(executionResult.getData().toString()); - // Prints: {hello=world} - } -} -``` - -## Using the latest development build - -The latest development build is available on Maven Central. - -Please look at the [latest build](https://search.maven.org/artifact/com.graphql-java/graphql-java) for the -latest version value. - -### How to use the latest build with Gradle - -Add the repository and dependency: - - - - -```groovy -repositories { - mavenCentral() -} - -dependencies { - implementation 'com.graphql-java:graphql-java:INSERT_LATEST_VERSION_HERE' -} -``` - - - - -```kotlin -repositories { - mavenCentral() -} - -dependencies { - implementation("com.graphql-java:graphql-java:INSERT_LATEST_VERSION_HERE") -} -``` - - - -### How to use the latest build with Maven - -Dependency: - -```xml - - com.graphql-java - graphql-java - INSERT_LATEST_VERSION_HERE - -``` diff --git a/versioned_docs/version-v23/instrumentation.md b/versioned_docs/version-v23/instrumentation.md deleted file mode 100644 index c59cc0e..0000000 --- a/versioned_docs/version-v23/instrumentation.md +++ /dev/null @@ -1,350 +0,0 @@ ---- -title: "Instrumentation" -date: 2018-09-09T12:52:46+10:00 -description: Instrumentation allows you to inject code that can observe the execution of a query and also change the runtime behaviours ---- -# Instrumentation - -The ``graphql.execution.instrumentation.Instrumentation`` interface allows you to inject code that can observe the -execution of a query and also change the runtime behaviour. - -The primary use case for this is to allow say performance monitoring and custom logging, but it could be used for many purposes. - -When you build the ``Graphql`` object you can specify what ``Instrumentation`` to use (if any). - -```java -GraphQL.newGraphQL(schema) - .instrumentation(new TracingInstrumentation()) - .build(); -``` - -## Custom Instrumentation - -An implementation of ``Instrumentation`` needs to implement the "begin" step methods that represent the execution of a graphql query. - -Each step must give back a non-null ``graphql.execution.instrumentation.InstrumentationContext`` object which will be called back -when the step completes, and will be told that it succeeded or failed with a Throwable. - -The following is a basic custom ``Instrumentation`` that measures overall execution time and puts it into a stateful object. - -```java -class CustomInstrumentationState implements InstrumentationState { - private Map anyStateYouLike = new HashMap<>(); - - void recordTiming(String key, long time) { - anyStateYouLike.put(key, time); - } -} - -class CustomInstrumentation extends SimplePerformantInstrumentation { - @Override - public InstrumentationState createState() { - // - // instrumentation state is passed during each invocation of an Instrumentation method - // and allows you to put stateful data away and reference it during the query execution - // - return new CustomInstrumentationState(); - } - - @Override - public @Nullable InstrumentationContext beginExecution(InstrumentationExecutionParameters parameters, InstrumentationState state) { - long startNanos = System.nanoTime(); - return new SimpleInstrumentationContext() { - @Override - public void onCompleted(ExecutionResult result, Throwable t) { - ((CustomInstrumentationState) state).recordTiming(parameters.getQuery(), System.nanoTime() - startNanos); - } - }; - } - - @Override - public @NotNull DataFetcher instrumentDataFetcher(DataFetcher dataFetcher, InstrumentationFieldFetchParameters parameters, InstrumentationState state) { - // - // this allows you to intercept the data fetcher used to fetch a field and provide another one, perhaps - // that enforces certain behaviours or has certain side effects on the data - // - return dataFetcher; - } - - @Override - public @NotNull CompletableFuture instrumentExecutionResult(ExecutionResult executionResult, InstrumentationExecutionParameters parameters, InstrumentationState state) { - // - // this allows you to instrument the execution result somehow. For example the Tracing support uses this to put - // the `extensions` map of data in place - // - return CompletableFuture.completedFuture(executionResult); - } -} -``` - -## Chaining Instrumentation - -You can combine multiple ``Instrumentation`` objects together using the ``graphql.execution.instrumentation.ChainedInstrumentation`` class which -accepts a list of ``Instrumentation`` objects and calls them in that defined order. - -```java -List chainedList = new ArrayList<>(); -chainedList.add(new FooInstrumentation()); -chainedList.add(new BarInstrumentation()); -ChainedInstrumentation chainedInstrumentation = new ChainedInstrumentation(chainedList); - -GraphQL.newGraphQL(schema) - .instrumentation(chainedInstrumentation) - .build(); -``` - -## Apollo Tracing Instrumentation - -``graphql.execution.instrumentation.tracing.TracingInstrumentation`` is an ``Instrumentation`` implementation that creates tracing information -about the query that is being executed. - -It follows the Apollo proposed tracing format defined at [https://github.com/apollographql/apollo-tracing](https://github.com/apollographql/apollo-tracing). - -A detailed tracing map will be created and placed in the ``extensions`` section of the result. - -So given a query like - -```graphql -query { - hero { - name - friends { - name - } - } -} -``` - -It would return a result like - -```json -{ - "data": { - "hero": { - "name": "R2-D2", - "friends": [ - { - "name": "Luke Skywalker" - }, - { - "name": "Han Solo" - }, - { - "name": "Leia Organa" - } - ] - } - }, - "extensions": { - "tracing": { - "version": 1, - "startTime": "2017-08-14T23:13:39.362Z", - "endTime": "2017-08-14T23:13:39.497Z", - "duration": 135589186, - "execution": { - "resolvers": [ - { - "path": [ - "hero" - ], - "parentType": "Query", - "returnType": "Character", - "fieldName": "hero", - "startOffset": 105697585, - "duration": 79111240 - }, - { - "path": [ - "hero", - "name" - ], - "parentType": "Droid", - "returnType": "String", - "fieldName": "name", - "startOffset": 125010028, - "duration": 20213 - }, - { - "path": [ - "hero", - "friends" - ], - "parentType": "Droid", - "returnType": "[Character]", - "fieldName": "friends", - "startOffset": 133352819, - "duration": 7927560 - }, - { - "path": [ - "hero", - "friends", - 0, - "name" - ], - "parentType": "Human", - "returnType": "String", - "fieldName": "name", - "startOffset": 134105887, - "duration": 6783 - }, - { - "path": [ - "hero", - "friends", - 1, - "name" - ], - "parentType": "Human", - "returnType": "String", - "fieldName": "name", - "startOffset": 134725922, - "duration": 7016 - }, - { - "path": [ - "hero", - "friends", - 2, - "name" - ], - "parentType": "Human", - "returnType": "String", - "fieldName": "name", - "startOffset": 134875089, - "duration": 6342 - } - ] - } - } - } -} - -``` - -## Field Validation Instrumentation - -``graphql.execution.instrumentation.fieldvalidation.FieldValidationInstrumentation`` is an ``Instrumentation`` implementation that -can be used to validate fields and their arguments before query execution. If errors are returned during this process then -the query execution is aborted and the errors will be in the query result. - -You can make you own custom implementation of ``FieldValidation`` or you can use the ``SimpleFieldValidation`` class -to add simple per field checks rules. - -```java -ExecutionPath fieldPath = ExecutionPath.parse("/user"); -FieldValidation fieldValidation = new SimpleFieldValidation() - .addRule(fieldPath, new BiFunction>() { - @Override - public Optional apply(FieldAndArguments fieldAndArguments, FieldValidationEnvironment environment) { - String nameArg = fieldAndArguments.getFieldArgument("name"); - if (nameArg.length() > 255) { - return Optional.of(environment.mkError("Invalid user name", fieldAndArguments)); - } - return Optional.empty(); - } - }); - -FieldValidationInstrumentation instrumentation = new FieldValidationInstrumentation( - fieldValidation -); - -GraphQL.newGraphQL(schema) - .instrumentation(instrumentation) - .build(); -``` - -## Query Complexity Instrumentation - -``graphql.analysis.MaxQueryComplexityInstrumentation`` in an ``Instrumentation`` implementation than can be used to abort a query if the total number of data -fields queried exceeds the defined limit. - -```java -GraphQL.newGraphQL(schema) - .instrumentation(new MaxQueryComplexityInstrumentation(10)) - .build(); -``` - -With a query like: - -```graphql -query { - hero { - name - friends { - name - homeWorld { - name - climate - } - species { - name - } - } - homeWorld { - name - climate - } - } -} -``` - -Would return a result like: - -```json -{ - "errors": [ - { - "message": "maximum query complexity exceeded 12 > 10", - "extensions": { - "classification": "ExecutionAborted" - } - } - ] -} -``` - -## Query Depth Instrumentation - -``graphql.analysis.MaxQueryDepthInstrumentation`` in an ``Instrumentation`` implementation than can be used to abort a query if the total depth of -the query exceeds the defined limit. - -```java -GraphQL.newGraphQL(schema) - .instrumentation(new MaxQueryDepthInstrumentation(4)) - .build(); -``` - -With a query like: - -```graphql - query { - hero { - name - friends { - name - friends { - name - friends { - name - } - } - } - } - } -``` - -Would return a result like: - -```json -{ - "errors": [ - { - "message": "maximum query depth exceeded 4 > 3", - "extensions": { - "classification": "ExecutionAborted" - } - } - ] -} -``` diff --git a/versioned_docs/version-v23/limits.md b/versioned_docs/version-v23/limits.md deleted file mode 100644 index 556b127..0000000 --- a/versioned_docs/version-v23/limits.md +++ /dev/null @@ -1,52 +0,0 @@ ---- -title: "Limits" -date: 2024-11-24T10:00:00+10:00 -description: Configuring limits to prevent DoS attacks ---- -# Limits in graphql-java to Prevent DoS Attacks - -graphql-java provides configurable options to limit the potential for Denial of Service (DoS) attacks through excessive query complexity or size. Defaults for all these limits have been already set. - -## Parser Level Limits -At the parser level, graphql-java offers several options to restrict the amount of work the query parser will perform. See `graphql.parser.ParserOptions`. - -**Maximum Query Characters:** Limits the number of characters in a query to prevent excessive parsing time and memory usage. The default is set to 1MB. - -```java -public static final int MAX_QUERY_CHARACTERS = 1024 * 1024; // 1 MB -``` - -**Maximum Query Tokens:** Restricts the number of tokens in a query to prevent excessive CPU usage. The default is set to 15,000 tokens. - -```java -public static final int MAX_QUERY_TOKENS = 15_000; -``` - -**Maximum Whitespace Tokens:** Limits the amount of whitespace in a query to prevent unnecessary parsing overhead. The default is set to 200,000 whitespace tokens. - -```java -public static final int MAX_WHITESPACE_TOKENS = 200_000; -``` - -**Maximum Rule Depth:** Restricts the depth of grammar rules in a query to prevent stack overflow exceptions. The default is set to 500. - -```java -public static final int MAX_RULE_DEPTH = 500; -``` - -## Introspection Query Limits -graphql-java includes measures to limit introspection queries: - -**GoodFaithIntrospection:** Ensures introspection queries remain under a reasonable size. - -```java -public static final int GOOD_FAITH_MAX_FIELDS_COUNT = 500; -public static final int GOOD_FAITH_MAX_DEPTH_COUNT = 20; -``` - -## Instrumentation -Beyond parser level limits, graphql-java provides instrumentation to manage query complexity: - -**MaxQueryComplexityInstrumentation:** Limits the complexity of a query to prevent excessive resource usage. [See example on the Instrumentation page](/documentation/master/instrumentation#query-complexity-instrumentation). - -**MaxQueryDepthInstrumentation:** Limits the depth of a query to prevent overly complex queries. [See example on the Instrumentation page](/documentation/master/instrumentation#query-depth-instrumentation) diff --git a/versioned_docs/version-v23/relay.md b/versioned_docs/version-v23/relay.md deleted file mode 100644 index 64e1609..0000000 --- a/versioned_docs/version-v23/relay.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -title: "Relay" -date: 2018-09-09T12:52:46+10:00 -description: graphql-java has support for Relay ---- -# Relay Support - -Very basic support for [Relay](https://github.com/facebook/relay) is included. - -Please look at [https://github.com/graphql-java/todomvc-relay-java](https://github.com/graphql-java/todomvc-relay-java) for a full example project. - -Relay sends queries to the GraphQL server as JSON containing a ``query`` field and a ``variables`` field. The ``query`` field is a JSON string, -and the ``variables`` field is a map of variable definitions. A relay-compatible server will need to parse this JSON and pass the ``query`` -string to this library as the query and the ``variables`` map as the third argument to ``execute`` as shown below. - -```java -@RequestMapping(value = "/graphql", method = RequestMethod.POST, produces = MediaType.APPLICATION_JSON_VALUE) -@ResponseBody -public Object executeOperation(@RequestBody Map body) { - String query = (String) body.get("query"); - Map variables = (Map) body.get("variables"); - if (variables == null) { - variables = new LinkedHashMap<>(); - } - ExecutionResult executionResult = graphql.execute(query, (Object) null, variables); - Map result = new LinkedHashMap<>(); - if (executionResult.getErrors().size() > 0) { - result.put("errors", executionResult.getErrors()); - log.error("Errors: {}", executionResult.getErrors()); - } - result.put("data", executionResult.getData()); - return result; -} -``` - -## Apollo Support - -There is no special support for [Apollo](https://github.com/apollographql/apollo-client) included: Apollo works with any schema. - -The Controller example shown above works with Apollo too. diff --git a/versioned_docs/version-v23/scalars.md b/versioned_docs/version-v23/scalars.md deleted file mode 100644 index 55ddf3e..0000000 --- a/versioned_docs/version-v23/scalars.md +++ /dev/null @@ -1,179 +0,0 @@ ---- -title: "Scalars" -date: 2024-01-11 -description: How scalar types work in graphql and how to write your own scalars ---- -# Scalars in GraphQL - -## Scalars - -The leaf nodes of the GraphQL type system are called scalars. Once you reach a scalar type, you -cannot descend any further into the type hierarchy. A scalar type is meant to represent -an indivisible value. - -The [GraphQL specification](https://spec.graphql.org/draft/#sec-Scalars) states that all implementations must have the following scalar types: - -* String aka ``GraphQLString`` - A UTF‐8 character sequence. -* Boolean aka ``GraphQLBoolean`` - true or false. -* Int aka ``GraphQLInt`` - A signed 32‐bit integer. -* Float aka ``GraphQLFloat`` - A signed double-precision floating-point value. -* ID aka ``GraphQLID`` - A unique identifier which is serialized in the same way as a String. However, defining it as an ID signifies that it is not intended to be human‐readable. - -The class ``graphql.Scalars`` contains singleton instances of the provided scalar types. - -[graphql-java-extended-scalars](https://github.com/graphql-java/graphql-java-extended-scalars) adds many more scalars, including the following which are useful in Java based systems: - -* Long aka ``GraphQLLong`` - a java.lang.Long based scalar -* Short aka ``GraphQLShort`` - a java.lang.Short based scalar -* Byte aka ``GraphQLByte`` - a java.lang.Byte based scalar -* BigDecimal aka ``GraphQLBigDecimal`` - a java.math.BigDecimal based scalar -* BigInteger aka ``GraphQLBigInteger`` - a java.math.BigInteger based scalar - -See the [documentation](https://github.com/graphql-java/graphql-java-extended-scalars) for how to use Extended Scalars. - -## Writing your own Custom Scalars - -If the scalar you want isn't in a library, you can also write your own custom scalar implementation. In doing so you take on the responsibility for coercing values -at runtime, which we will explain in a moment. - -Imagine we decide we need to have an email scalar type. It will take email addresses as input and output. - -We would create a singleton ``graphql.schema.GraphQLScalarType`` instance for this. - -```java -public static final GraphQLScalarType EMAIL = GraphQLScalarType.newScalar() - .name("email") - .description("A custom scalar that handles emails") - .coercing(new Coercing() { - @Override - public Object serialize(Object dataFetcherResult, GraphQLContext graphQLContext, Locale locale) { - return serializeEmail(dataFetcherResult); - } - - @Override - public Object parseValue(Object input, GraphQLContext graphQLContext, Locale locale) { - return parseEmailFromVariable(input); - } - - @Override - public Object parseLiteral(Value input, CoercedVariables variables, GraphQLContext graphQLContext, Locale locale) { - return parseEmailFromAstLiteral(input); - } - }) - .build(); -``` - -## Coercing values - -The real work in any custom scalar implementation is the ``graphql.schema.Coercing`` implementation. This is responsible for 3 functions: - -* ``parseValue`` - takes a variable input object and converts into the Java runtime representation -* ``parseLiteral`` - takes an AST literal ``graphql.language.Value`` as input and converts into the Java runtime representation -* ``serialize`` - takes a Java object and converts it into the output shape for that scalar - -So your custom scalar code has to handle 2 forms of input (`parseValue` / `parseLiteral`) and 1 form of output (`serialize`). - -Imagine this query, which uses variables, AST literals and outputs our scalar type ``email``. - -```graphql -mutation Contact($mainContact: Email!) { - makeContact(mainContactEmail: $mainContact, backupContactEmail: "backup@company.com") { - id - mainContactEmail - } -} -``` - -Our custom Email scalar will: - -* be called via ``parseValue`` to convert the ``$mainContact`` variable value into a runtime object -* be called via ``parseLiteral`` to convert the AST ``graphql.language.StringValue`` "backup@company.com" into a runtime object -* be called via ``serialize`` to turn the runtime representation of mainContactEmail into a form ready for output - -## Validation of input and output - -The methods can validate that the received input makes sense. For example our email scalar will try to validate that the input -and output are indeed email addresses. - -The JavaDoc method contract of ``graphql.schema.Coercing`` says the following: - -* The ``serialize`` MUST ONLY allow ``graphql.schema.CoercingSerializeException`` to be thrown from it. This indicates that the -value cannot be serialized into an appropriate form. You must not allow other runtime exceptions to escape this method to get -the normal graphql behaviour for validation. - -* The ``parseValue`` MUST ONLY allow ``graphql.schema.CoercingParseValueException`` to be thrown from it. This indicates that the -value cannot be parsed as input into an appropriate form. You must not allow other runtime exceptions to escape this method to get -the normal graphql behaviour for validation. - -* The ``parseLiteral`` MUST ONLY allow ``graphql.schema.CoercingParseLiteralException`` to be thrown from it. This indicates that the -AST value cannot be parsed as input into an appropriate form. You must not allow any runtime exceptions to escape this method to get -the normal graphql behaviour for validation. - -Some people try to rely on runtime exceptions for validation and hope that they come out as graphql errors. This is not the case. You -MUST follow the ``Coercing`` method contracts to allow the graphql-java engine to work according to the graphql specification on scalar types. - -## Example implementation - -The following is a really rough implementation of our imagined ``email`` scalar type to show you how one might implement the ``Coercing`` methods. - -```java -public static class EmailScalar { - - public static final GraphQLScalarType EMAIL = GraphQLScalarType.newScalar() - .name("email") - .description("A custom scalar that handles emails") - .coercing(new Coercing() { - @Override - public Object serialize(Object dataFetcherResult, GraphQLContext graphQLContext, Locale locale) { - return serializeEmail(dataFetcherResult); - } - - @Override - public Object parseValue(Object input, GraphQLContext graphQLContext, Locale locale) { - return parseEmailFromVariable(input); - } - - @Override - public Object parseLiteral(Value input, CoercedVariables variables, GraphQLContext graphQLContext, Locale locale) { - return parseEmailFromAstLiteral(input); - } - }) - .build(); - - private static boolean looksLikeAnEmailAddress(String possibleEmailValue) { - // ps. I am not trying to replicate RFC-3696 clearly - return Pattern.matches("[A-Za-z0-9]@[.*]", possibleEmailValue); - } - - private static Object serializeEmail(Object dataFetcherResult) { - String possibleEmailValue = String.valueOf(dataFetcherResult); - if (looksLikeAnEmailAddress(possibleEmailValue)) { - return possibleEmailValue; - } else { - throw new CoercingSerializeException("Unable to serialize " + possibleEmailValue + " as an email address"); - } - } - - private static Object parseEmailFromVariable(Object input) { - if (input instanceof String) { - String possibleEmailValue = input.toString(); - if (looksLikeAnEmailAddress(possibleEmailValue)) { - return possibleEmailValue; - } - } - throw new CoercingParseValueException("Unable to parse variable value " + input + " as an email address"); - } - - private static Object parseEmailFromAstLiteral(Object input) { - if (input instanceof StringValue) { - String possibleEmailValue = ((StringValue) input).getValue(); - if (looksLikeAnEmailAddress(possibleEmailValue)) { - return possibleEmailValue; - } - } - throw new CoercingParseLiteralException( - "Value is not any email address : '" + String.valueOf(input) + "'" - ); - } -} -``` diff --git a/versioned_docs/version-v23/schema.md b/versioned_docs/version-v23/schema.md deleted file mode 100644 index e2ae934..0000000 --- a/versioned_docs/version-v23/schema.md +++ /dev/null @@ -1,630 +0,0 @@ ---- -title: "Schema" -date: 2021-07-03T12:52:46+10:00 -description: Your GraphQL API has a schema which defines each field that can be queried or - mutated and what types those fields are. ---- - -# Creating a schema - -Your GraphQL API has a schema which defines each field that can be queried or mutated and what types those fields are. - -``graphql-java`` offers two different ways of defining the schema: Programmatically as Java code or via a special -graphql dsl (called SDL). - -If you are unsure which option to use we recommend the SDL. - -SDL example: - -```graphql -type Foo { - bar: String -} -``` - -Java code example: - -```java -GraphQLObjectType fooType = newObject() - .name("Foo") - .field(newFieldDefinition() - .name("bar") - .type(GraphQLString)) - .build(); -``` - -## DataFetcher and TypeResolver - -A ``DataFetcher`` provides the data for a field (and changes something, if it is a mutation). - -Every field definition has a ``DataFetcher``. When one is not configured, a -[PropertyDataFetcher](https://github.com/graphql-java/graphql-java/blob/master/src/main/java/graphql/schema/PropertyDataFetcher.java) -is used. - -``PropertyDataFetcher`` fetches data from ``Map`` and Java Beans. So when the field name matches the Map key or the -property name of the source Object, no ``DataFetcher`` is needed. - -A ``TypeResolver`` helps ``graphql-java`` to decide which type a concrete value belongs to. This is needed -for ``Interface`` and ``Union``. - -For example imagine you have an ``Interface`` called *MagicUserType* which resolves back to a series of Java classes -called *Wizard*, *Witch* and *Necromancer*. The type resolver is responsible for examining a runtime object and deciding -what ``GraphqlObjectType`` should be used to represent it, and hence what data fetchers and fields will be invoked. - -```java -new TypeResolver() { - @Override - public GraphQLObjectType getType(TypeResolutionEnvironment env) { - Object javaObject = env.getObject(); - if (javaObject instanceof Wizard) { - return env.getSchema().getObjectType("WizardType"); - } else if (javaObject instanceof Witch) { - return env.getSchema().getObjectType("WitchType"); - } else { - return env.getSchema().getObjectType("NecromancerType"); - } - } -}; -``` - -## Creating a schema using the SDL - -When defining a schema via SDL, you provide the needed ``DataFetcher`` s and ``TypeResolver`` s when the executable -schema is created. - -Take for example the following static schema definition file called ``starWarsSchema.graphqls``: - -```graphql -schema { - query: QueryType -} - -type QueryType { - hero(episode: Episode): Character - human(id : String) : Human - droid(id: ID!): Droid -} - - -enum Episode { - NEWHOPE - EMPIRE - JEDI -} - -interface Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! -} - -type Human implements Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! - homePlanet: String -} - -type Droid implements Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! - primaryFunction: String -} -``` - -The static schema definition file ``starWarsSchema.graphqls`` contains the field and type definitions, but you need a -runtime wiring to make it a truly executable schema. - -The runtime wiring contains ``DataFetcher`` s, ``TypeResolvers`` s and custom ``Scalar`` s that are needed to make a -fully executable schema. - -You wire this together using this builder pattern: - -```java -RuntimeWiring buildRuntimeWiring() { - return RuntimeWiring.newRuntimeWiring() - .scalar(CustomScalar) - // this uses builder function lambda syntax - .type("QueryType", typeWiring -> typeWiring - .dataFetcher("hero", new StaticDataFetcher(StarWarsData.getArtoo())) - .dataFetcher("human", StarWarsData.getHumanDataFetcher()) - .dataFetcher("droid", StarWarsData.getDroidDataFetcher()) - ) - .type("Human", typeWiring -> typeWiring - .dataFetcher("friends", StarWarsData.getFriendsDataFetcher()) - ) - // you can use builder syntax if you don't like the lambda syntax - .type("Droid", typeWiring -> typeWiring - .dataFetcher("friends", StarWarsData.getFriendsDataFetcher()) - ) - // or full builder syntax if that takes your fancy - .type( - newTypeWiring("Character") - .typeResolver(StarWarsData.getCharacterTypeResolver()) - .build() - ) - .build(); -} -``` - -Finally, you can generate an executable schema by combining the static schema and the wiring together as shown in this -example: - -```java -SchemaParser schemaParser = new SchemaParser(); -SchemaGenerator schemaGenerator = new SchemaGenerator(); - -File schemaFile = loadSchema("starWarsSchema.graphqls"); - -TypeDefinitionRegistry typeRegistry = schemaParser.parse(schemaFile); -RuntimeWiring wiring = buildRuntimeWiring(); -GraphQLSchema graphQLSchema = schemaGenerator.makeExecutableSchema(typeRegistry, wiring); -``` - -In addition to the builder style shown above, ``TypeResolver`` s and ``DataFetcher`` s can also be wired in using the -``WiringFactory`` interface. This allows for a more dynamic runtime wiring since the SDL definitions can be examined in -order to decide what to wire in. You could for example look at SDL directives, or some other aspect of the SDL -definition to help you decide what runtime to create. - -```java -RuntimeWiring buildDynamicRuntimeWiring() { - WiringFactory dynamicWiringFactory = new WiringFactory() { - @Override - public boolean providesTypeResolver(TypeDefinitionRegistry registry, InterfaceTypeDefinition definition) { - return getDirective(definition,"specialMarker") != null; - } - - @Override - public boolean providesTypeResolver(TypeDefinitionRegistry registry, UnionTypeDefinition definition) { - return getDirective(definition,"specialMarker") != null; - } - - @Override - public TypeResolver getTypeResolver(TypeDefinitionRegistry registry, InterfaceTypeDefinition definition) { - Directive directive = getDirective(definition,"specialMarker"); - return createTypeResolver(definition,directive); - } - - @Override - public TypeResolver getTypeResolver(TypeDefinitionRegistry registry, UnionTypeDefinition definition) { - Directive directive = getDirective(definition,"specialMarker"); - return createTypeResolver(definition,directive); - } - - @Override - public boolean providesDataFetcher(TypeDefinitionRegistry registry, FieldDefinition definition) { - return getDirective(definition,"dataFetcher") != null; - } - - @Override - public DataFetcher getDataFetcher(TypeDefinitionRegistry registry, FieldDefinition definition) { - Directive directive = getDirective(definition, "dataFetcher"); - return createDataFetcher(definition,directive); - } - }; - return RuntimeWiring.newRuntimeWiring() - .wiringFactory(dynamicWiringFactory).build(); -} -``` - -## Creating a schema programmatically - -When the schema is created programmatically ``DataFetcher`` s and ``TypeResolver`` s are provided at type creation: - -Example: - -```java -DataFetcher fooDataFetcher = new DataFetcher() { - @Override - public Foo get(DataFetchingEnvironment environment) { - // environment.getSource() is the value of the surrounding - // object. In this case described by objectType - Foo value = perhapsFromDatabase(); // Perhaps getting from a DB or whatever - return value; - } -}; - -GraphQLObjectType objectType = newObject() - .name("ObjectType") - .field(newFieldDefinition() - .name("foo") - .type(GraphQLString) - ) - .build(); - -GraphQLCodeRegistry codeRegistry = newCodeRegistry() - .dataFetcher( - coordinates("ObjectType", "foo"), - fooDataFetcher) - .build(); -``` - -## Types - -The GraphQL type system supports the following kind of types: - -* Scalar -* Object -* Interface -* Union -* InputObject -* Enum - -### Scalar - -``graphql-java`` supports the following Scalars: - -Standard graphql scalars : - -* ``GraphQLString`` -* ``GraphQLBoolean`` -* ``GraphQLInt`` -* ``GraphQLFloat`` -* ``GraphQLID`` - -Extended graphql-java scalars - -* ``GraphQLLong`` -* ``GraphQLShort`` -* ``GraphQLByte`` -* ``GraphQLFloat`` -* ``GraphQLBigDecimal`` -* ``GraphQLBigInteger`` - -Note that the semantics around the extended scalars might not be understood by your clients. For example mapping a Java -Long (max value 2^63-1) into a JavaScript Number ( max value 2^53 - 1) -may be problematic for you. - -### Object - -SDL Example: - -```graphql -type SimpsonCharacter { - name: String - mainCharacter: Boolean -} -``` - -Java Example: - -```java -GraphQLObjectType simpsonCharacter = newObject() - .name("SimpsonCharacter") - .description("A Simpson character") - .field(newFieldDefinition() - .name("name") - .description("The name of the character.") - .type(GraphQLString)) - .field(newFieldDefinition() - .name("mainCharacter") - .description("One of the main Simpson characters?") - .type(GraphQLBoolean)) - .build(); -``` - -### Interface - -Interfaces are abstract definitions of types. - -SDL Example: - -```graphql -interface ComicCharacter { - name: String -} -``` - -Java Example: - -```java -GraphQLInterfaceType comicCharacter = newInterface() - .name("ComicCharacter") - .description("An abstract comic character.") - .field(newFieldDefinition() - .name("name") - .description("The name of the character.") - .type(GraphQLString)) - .build(); -``` - -### Union - -SDL Example: - -```graphql -type Cat { - name: String - lives: Int -} - -type Dog { - name: String - bonesOwned: Int -} - -union Pet = Cat | Dog -``` - -Java Example: - -```java -TypeResolver typeResolver = new TypeResolver() { - @Override - public GraphQLObjectType getType(TypeResolutionEnvironment env) { - if (env.getObject() instanceof Cat) { - return CatType; - } - if (env.getObject() instanceof Dog) { - return DogType; - } - return null; - } -}; -GraphQLUnionType PetType = newUnionType() - .name("Pet") - .possibleType(CatType) - .possibleType(DogType) - .build(); - -GraphQLCodeRegistry codeRegistry = newCodeRegistry() - .typeResolver("Pet", typeResolver) - .build(); -``` - -### InputObject - -SDL Example: - -```graphql -input Character { - name: String -} -``` - -Java Example: - -```java -GraphQLInputObjectType inputObjectType = newInputObject() - .name("inputObjectType") - .field(newInputObjectField() - .name("field") - .type(GraphQLString)) - .build(); -``` - -### Enum - -SDL Example: - -```graphql -enum Color { - RED - GREEN - BLUE -} -``` - -Java Example: - -```java -GraphQLEnumType colorEnum = newEnum() - .name("Color") - .description("Supported colors.") - .value("RED") - .value("GREEN") - .value("BLUE") - .build(); -``` - -## Type References (recursive types) - -GraphQL supports recursive types: For example a ``Person`` can contain a list of friends of the same type. - -To be able to declare such a type, ``graphql-java`` has a ``GraphQLTypeReference`` class. - -When the schema is created, the ``GraphQLTypeReference`` is replaced with the actual real type Object. - -For example: - -```java -GraphQLObjectType person = newObject() - .name("Person") - .field(newFieldDefinition() - .name("friends") - .type(GraphQLList.list(GraphQLTypeReference.typeRef("Person")))) - .build(); -``` - -When the schema is declared via SDL, no special handling of recursive types is needed as it is detected and done for -you. - -## Modularising the Schema SDL - -Having one large schema file is not always viable. You can modularise you schema using two techniques. - -The first technique is to merge multiple Schema SDL files into one logic unit. In the case below the schema has been -split into multiple files and merged all together just before schema generation. - -```java -SchemaParser schemaParser = new SchemaParser(); -SchemaGenerator schemaGenerator = new SchemaGenerator(); - -File schemaFile1 = loadSchema("starWarsSchemaPart1.graphqls"); -File schemaFile2 = loadSchema("starWarsSchemaPart2.graphqls"); -File schemaFile3 = loadSchema("starWarsSchemaPart3.graphqls"); - -TypeDefinitionRegistry typeRegistry = new TypeDefinitionRegistry(); - -// each registry is merged into the main registry -typeRegistry.merge(schemaParser.parse(schemaFile1)); -typeRegistry.merge(schemaParser.parse(schemaFile2)); -typeRegistry.merge(schemaParser.parse(schemaFile3)); - -GraphQLSchema graphQLSchema = schemaGenerator.makeExecutableSchema(typeRegistry, buildRuntimeWiring()); -``` - -The Graphql SDL type system has another construct for modularising a schema. You can use `type extensions` to add extra -fields and interfaces to a type. - -Imagine you start with a type like this in one schema file. - -```graphql -type Human { - id: ID! - name: String! -} -``` - -Another part of your system can extend this type to add more shape to it. - -```graphql -extend type Human implements Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! -} -``` - -You can have as many extensions as you think sensible. They will be combined in the order in which they are encountered. -Duplicate fields will be merged as one (however field re-definitions into new types are not allowed). - -```graphql -extend type Human { - homePlanet: String -} -``` - -With all these type extensions in place the `Human` type now looks like this at runtime. - -```graphql -type Human implements Character { - id: ID! - name: String! - friends: [Character] - appearsIn: [Episode]! - homePlanet: String -} -``` - -This is especially useful at the top level. You can use extension types to add new fields to the top level schema " -query". Teams could contribute "sections" on what is being offered as the total graphql query. - -```graphql -schema { - query: CombinedQueryFromMultipleTeams -} - -type CombinedQueryFromMultipleTeams { - createdTimestamp: String -} - -# maybe the invoicing system team puts in this set of attributes -extend type CombinedQueryFromMultipleTeams { - invoicing: Invoicing -} - -# and the billing system team puts in this set of attributes -extend type CombinedQueryFromMultipleTeams { - billing: Billing -} - -# and so and so forth -extend type CombinedQueryFromMultipleTeams { - auditing: Auditing -} -``` - -## Subscription Support - -Subscriptions allow you to perform a query and whenever a backing object for that query changes an updated will be sent. - -```graphql -subscription foo { - # normal graphql query -} -``` - -See the page on [subscriptions](subscriptions.md) for more details - -## Changing Schema - -The `GraphQLSchema` is an immutable object once its is built. To make things more complicated it is in fact an immutable -cyclic graph. - -If you need to change the schema after it has been built then you need to use special API to `transform` it into a new -shape. - -`graphql.schema.SchemaTransformer` is the class that can transform an existing schema into a new one. - -It uses a visitor pattern with "commands" that allow you to insert, update or delete elements in the schema. - -```java -GraphQLTypeVisitorStub visitor = new GraphQLTypeVisitorStub() { - @Override - public TraversalControl visitGraphQLObjectType(GraphQLObjectType objectType, TraverserContext context) { - GraphQLCodeRegistry.Builder codeRegistry = context.getVarFromParents(GraphQLCodeRegistry.Builder.class); - // we need to change __XXX introspection types to have directive extensions - if (someConditionalLogic(objectType)) { - GraphQLObjectType newObjectType = buildChangedObjectType(objectType, codeRegistry); - return changeNode(context, newObjectType); - } - return CONTINUE; - } - - private boolean someConditionalLogic(GraphQLObjectType objectType) { - // up to you to decide what causes a change, perhaps a directive is on the element - return objectType.hasDirective("specialDirective"); - } - - private GraphQLObjectType buildChangedObjectType(GraphQLObjectType objectType, GraphQLCodeRegistry.Builder codeRegistry) { - GraphQLFieldDefinition newField = GraphQLFieldDefinition.newFieldDefinition() - .name("newField").type(Scalars.GraphQLString).build(); - GraphQLObjectType newObjectType = objectType.transform(builder -> builder.field(newField)); - - DataFetcher newDataFetcher = dataFetchingEnvironment -> { - return "someValueForTheNewField"; - }; - FieldCoordinates coordinates = FieldCoordinates.coordinates(objectType.getName(), newField.getName()); - codeRegistry.dataFetcher(coordinates, newDataFetcher); - return newObjectType; - } -}; -GraphQLSchema newSchema = SchemaTransformer.transformSchema(schema, visitor); -``` - -You return "command" methods in your visitor that causes the `SchemaTransformer` to modify the schema while maintain its cyclic graph semantic -correctness. - -You can update elements, insert new ones or delete elements. - -```java -GraphQLTypeVisitorStub visitor = new GraphQLTypeVisitorStub() { - @Override - public TraversalControl visitGraphQLObjectType(GraphQLObjectType objectType, TraverserContext context) { - - // changes the current element in the schema - return changeNode(context, updatedElement); - - // inserts a new element after the current one in the schema - return insertAfter(context, newElement); - - // inserts a new element before the current one in teh schema - return insertBefore(context, newElement); - - // deletes the current element from the schema - return deleteNode(context); - - // just continue with no change - return CONTINUE; - } -}; -``` - -Obviously the above code does not compile, it's there to show the different command methods the visitor must return -to instruct the `SchemaTransformer` to change the schema DAG. diff --git a/versioned_docs/version-v23/subscriptions.md b/versioned_docs/version-v23/subscriptions.md deleted file mode 100644 index 36bbf18..0000000 --- a/versioned_docs/version-v23/subscriptions.md +++ /dev/null @@ -1,149 +0,0 @@ ---- -title: "Subscriptions" -date: 2018-09-09T12:52:46+10:00 -description: Graphql subscriptions allow you subscribe to a reactive source and as new data arrives - a graphql query is applied over that data and the results are passed on. - ---- -# Subscriptions - -## Subscription Queries - -Graphql subscriptions allow you subscribe to a reactive source and as new data arrives -a graphql query is applied over that data and the results are passed on. - -See http://graphql.org/blog/subscriptions-in-graphql-and-relay/ for more general details on -graphql subscriptions. - -Imagine you have an stock market pricing service and you make a graphql subscription to it like this - -```graphql -subscription StockCodeSubscription { - stockQuotes(stockCode:"IBM") { - dateTime - stockCode - stockPrice - stockPriceChange - } -} -``` - -graphql subscriptions allow a stream of ``ExecutionResult`` objects to be sent down each time the stock price -changes. The field selection set will applied to the underlying data and are represented just like any other -graphql query. - -What is special is that the initial result of a subscription query is a reactive-streams ``Publisher`` object which you -need to use to get the future values. - -You need to use ``SubscriptionExecutionStrategy`` as your execution strategy as it has the support for the reactive-streams APIs. - -```java -GraphQL graphQL = GraphQL - .newGraphQL(schema) - .subscriptionExecutionStrategy(new SubscriptionExecutionStrategy()) - .build(); - -ExecutionResult executionResult = graphQL.execute(query); - -Publisher stockPriceStream = executionResult.getData(); -``` - -The ``Publisher`` here is the publisher of a stream of events. You need to subscribe to this with your processing -code which will look something like the following - -```java -GraphQL graphQL = GraphQL - .newGraphQL(schema) - .subscriptionExecutionStrategy(new SubscriptionExecutionStrategy()) - .build(); - -String query = "" + - " subscription StockCodeSubscription {\n" + - " stockQuotes(stockCode:\"IBM\") {\n" + - " dateTime\n" + - " stockCode\n" + - " stockPrice\n" + - " stockPriceChange\n" + - " }\n" + - " }\n"; - -ExecutionResult executionResult = graphQL.execute(query); - -Publisher stockPriceStream = executionResult.getData(); - -AtomicReference subscriptionRef = new AtomicReference<>(); -stockPriceStream.subscribe(new Subscriber() { - - @Override - public void onSubscribe(Subscription s) { - subscriptionRef.set(s); - s.request(1); - } - - @Override - public void onNext(ExecutionResult er) { - // - // process the next stock price - // - processStockPriceChange(er.getData()); - - // - // ask the publisher for one more item please - // - subscriptionRef.get().request(1); - } - - @Override - public void onError(Throwable t) { - // - // The upstream publishing data source has encountered an error - // and the subscription is now terminated. Real production code needs - // to decide on a error handling strategy. - // - } - - @Override - public void onComplete() { - // - // the subscription has completed. There is not more data - // - } -}); -``` - -You are now writing reactive-streams code to consume a series of ``ExecutionResults``. You can see -more details on reactive-streams code here http://www.reactive-streams.org/ - -``RxJava`` is a popular implementation of reactive-streams. Check out [http://reactivex.io/intro.html](http://reactivex.io/intro.html) to find out more -about creating Publishers of data and Subscriptions to that data. - -``Project Reactor`` is another popular implementation of reactive-streams. Check out [https://projectreactor.io/](https://projectreactor.io/) as well. - -graphql-java only produces a stream of results. It does not concern itself with sending these over the network on things -like web sockets and so on. That is important but not a concern of the base graphql-java library. - -We have put together a basic example of using websockets (backed by Jetty) with a simulated stock price application that -is built using RxJava. - -See https://github.com/graphql-java/graphql-java-subscription-example for more detailed code on handling network concerns and -the like. - -## Subscription Data Fetchers - -The ``DataFetcher`` behind a subscription field is responsible for creating the ``Publisher`` of data. The objects -return by this Publisher will be mapped over the graphql query as each arrives and then sent back out as an execution result. - -You data fetcher is going to look something like this. - -```java -DataFetcher> publisherDataFetcher = new DataFetcher>() { - @Override - public Publisher get(DataFetchingEnvironment environment) { - String stockCodeArg = environment.getArgument("stockCode"); - return buildPublisherForStockCode(stockCodeArg); - } -}; -``` - -Now the exact details of how you get that stream of events is up to you and you're reactive code. graphql-java -gives you a way to map the graphql query fields over that stream of objects just like a standard graphql query. diff --git a/versioned_docs/version-v23/upgrade-notes.md b/versioned_docs/version-v23/upgrade-notes.md deleted file mode 100644 index def289c..0000000 --- a/versioned_docs/version-v23/upgrade-notes.md +++ /dev/null @@ -1,62 +0,0 @@ ---- -title: "Upgrade notes" -date: 2024-12-28T12:52:46+10:00 -description: Miscellaneous notes to assist with upgrading GraphQL Java versions ---- -# Upgrade notes - -This is a special page with extra information to help with upgrading to a newer version of GraphQL Java, based on feedback from GitHub Discussion threads. - -See detailed [release notes on GitHub](https://github.com/graphql-java/graphql-java/releases). - -## Stricter requirements for scalar parseValue coercion in Version 22.0 - -### What changed? -In v22.0, `parseValue` coercion was made stricter to align with the reference JS implementation. This change applied to String, Boolean, Float, and Int. - -* String `parseValue` now requires input of type String. For example, a Number input 123 or a Boolean input true will no longer be accepted. -* Boolean `parseValue` now requires input of type Boolean. For example, a String input "true" will no longer be accepted. -* Float `parseValue` now requires input of type Number. For example, a String input "3.14" will no longer be accepted. -* Int `parseValue` now requires input of type Number. For example, a String input "42" will no longer be accepted. - -If you are upgrading from an earlier version of GraphQL Java and you see an error message such as `Expected a value that can be converted to type 'Int' but it was a 'String'`, it's because of this change in `parseValue` behavior for scalars. - -See the [v22.0 release notes](https://github.com/graphql-java/graphql-java/releases/tag/v22.0) on GitHub. - -### How do I upgrade? - -As called out in the release notes, this is a breaking change. - -You have two options: -1. Migrate: Use `InputInterceptor` introduced in [version 21.0](https://github.com/graphql-java/graphql-java/releases/tag/v21.0) to monitor incoming traffic, and after a period of time, migrate to the stricter `parseValue` coercion in version 22.0 -2. Revert to legacy behavior: Use `InputInterceptor` to permanently use the older, less strict `parseValue` coercion, and keep things as they were before version 22.0 - -We'll leave the choice up to you. Here's how to implement each option. - -The `InputInterceptor` interface allows you to monitor and/or modify input values, and an implementation is provided in `LegacyCoercingInputInterceptor`. - -### How to use the InputInterceptor to monitor traffic - -You can use the `LegacyCoercingInputInterceptor` implementation to monitor traffic. You can use the method `observeValues` to monitor incoming requests. When a legacy value is detected, a callback will be invoked. For example, the callback could be emitting a metric. To enable this observer, add it to `GraphQLContext`, for example: - -```java -InputInterceptor legacyInputInterceptor = LegacyCoercingInputInterceptor.observesValues((inputValue, graphQLInputType) -> { - emitAMetric(inputValue, graphQLInputType); -}); - -ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .query("query { exampleField }") - .graphQLContext(Map.of(InputInterceptor.class, legacyInputInterceptor)) - .build(); -``` - -### How to use the InputInterceptor to use the legacy parseValue behaviour (prior to v22.0) - -You can alternatively use the `LegacyCoercingInputInterceptor` to revert to the legacy `parseValue` behavior, as it was prior to v22.0. The legacy behavior is implemented in the `migratesValues` method. To enable legacy behavior, add it to `GraphQLContext`, for example: - -```java -ExecutionInput executionInput = ExecutionInput.newExecutionInput() - .query("query { exampleField }") - .graphQLContext(Map.of(InputInterceptor.class, LegacyCoercingInputInterceptor.migratesValues())) - .build(); -``` diff --git a/versioned_sidebars/version-v23-sidebars.json b/versioned_sidebars/version-v23-sidebars.json deleted file mode 100644 index 27328de..0000000 --- a/versioned_sidebars/version-v23-sidebars.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "version-v23/tutorialSidebar": [ - { - "type": "autogenerated", - "dirName": "." - } - ] -} diff --git a/versions.json b/versions.json deleted file mode 100644 index 352d66f..0000000 --- a/versions.json +++ /dev/null @@ -1,3 +0,0 @@ -[ - "v23" -] diff --git a/yarn.lock b/yarn.lock index 788d164..e04dcc0 100644 --- a/yarn.lock +++ b/yarn.lock @@ -2,148 +2,147 @@ # yarn lockfile v1 -"@algolia/autocomplete-core@1.2.2": - version "1.2.2" - resolved 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get-intrinsic "^1.0.2" +call-me-maybe@^1.0.1: + version "1.0.1" + resolved "https://registry.yarnpkg.com/call-me-maybe/-/call-me-maybe-1.0.1.tgz#26d208ea89e37b5cbde60250a15f031c16a4d66b" + integrity sha1-JtII6onje1y95gJQoV8DHBak1ms= + +caller-callsite@^2.0.0: + version "2.0.0" + resolved "https://registry.yarnpkg.com/caller-callsite/-/caller-callsite-2.0.0.tgz#847e0fce0a223750a9a027c54b33731ad3154134" + integrity sha1-hH4PzgoiN1CpoCfFSzNzGtMVQTQ= + dependencies: + callsites "^2.0.0" + +caller-path@^2.0.0: + version "2.0.0" + resolved "https://registry.yarnpkg.com/caller-path/-/caller-path-2.0.0.tgz#468f83044e369ab2010fac5f06ceee15bb2cb1f4" + integrity sha1-Ro+DBE42mrIBD6xfBs7uFbsssfQ= + dependencies: + caller-callsite "^2.0.0" + +callsites@^2.0.0: + version "2.0.0" + resolved "https://registry.yarnpkg.com/callsites/-/callsites-2.0.0.tgz#06eb84f00eea413da86affefacbffb36093b3c50" + integrity sha1-BuuE8A7qQT2oav/vrL/7Ngk7PFA= + callsites@^3.0.0: version "3.1.0" resolved 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+3753,9 @@ dns-equal@^1.0.0: integrity sha1-s55/HabrCnW6nBcySzR1PEfgZU0= dns-packet@^1.3.1: - version "1.3.4" - resolved "https://registry.yarnpkg.com/dns-packet/-/dns-packet-1.3.4.tgz#e3455065824a2507ba886c55a89963bb107dec6f" - integrity sha512-BQ6F4vycLXBvdrJZ6S3gZewt6rcrks9KBgM9vrhW+knGRqc8uEdT7fuCwloc7nny5xNoMJ17HGH0R/6fpo8ECA== + version "1.3.1" + resolved "https://registry.yarnpkg.com/dns-packet/-/dns-packet-1.3.1.tgz#12aa426981075be500b910eedcd0b47dd7deda5a" + integrity sha512-0UxfQkMhYAUaZI+xrNZOz/as5KgDU0M/fQ9b6SpkyLbk3GEswDi6PADJVaYJradtRVsRIlF1zLyOodbcTCDzUg== dependencies: ip "^1.1.0" safe-buffer "^5.0.1" @@ -3428,7 +3767,7 @@ dns-txt@^2.0.2: dependencies: buffer-indexof "^1.0.0" -dom-converter@^0.2.0: +dom-converter@^0.2: version "0.2.0" resolved "https://registry.yarnpkg.com/dom-converter/-/dom-converter-0.2.0.tgz#6721a9daee2e293682955b6afe416771627bb768" integrity sha512-gd3ypIPfOMr9h5jIKq8E3sHOTCjeirnl0WK5ZdS1AW0Odt0b1PaWaHdJ4Qk4klv+YB9aJBS7mESXjFoDQPu6DA== @@ -3443,15 +3782,6 @@ dom-serializer@0: domelementtype "^2.0.1" entities "^2.0.0" -dom-serializer@^1.0.1: - version "1.3.2" - resolved "https://registry.yarnpkg.com/dom-serializer/-/dom-serializer-1.3.2.tgz#6206437d32ceefaec7161803230c7a20bc1b4d91" - integrity sha512-5c54Bk5Dw4qAxNOI1pFEizPSjVsx5+bpJKmL2kPn8JhBUq2q09tTCa3mjijun2NfK78NMouDYNMBkOrPZiS+ig== - dependencies: - domelementtype "^2.0.1" - domhandler "^4.2.0" - entities "^2.0.0" - dom-serializer@~0.1.0: version "0.1.1" resolved "https://registry.yarnpkg.com/dom-serializer/-/dom-serializer-0.1.1.tgz#1ec4059e284babed36eec2941d4a970a189ce7c0" @@ -3460,15 +3790,20 @@ dom-serializer@~0.1.0: domelementtype "^1.3.0" entities "^1.1.1" +domain-browser@^1.1.1: + version "1.2.0" + resolved "https://registry.yarnpkg.com/domain-browser/-/domain-browser-1.2.0.tgz#3d31f50191a6749dd1375a7f522e823d42e54eda" + integrity sha512-jnjyiM6eRyZl2H+W8Q/zLMA481hzi0eszAaBUzIVnmYVDBbnLxVNnfu1HgEBvCbL+71FrxMl3E6lpKH7Ge3OXA== + domelementtype@1, domelementtype@^1.3.0, domelementtype@^1.3.1: version "1.3.1" resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-1.3.1.tgz#d048c44b37b0d10a7f2a3d5fee3f4333d790481f" integrity sha512-BSKB+TSpMpFI/HOxCNr1O8aMOTZ8hT3pM3GQ0w/mWRmkhEDSFJkkyzz4XQsBV44BChwGkrDfMyjVD0eA2aFV3w== -domelementtype@^2.0.1, domelementtype@^2.2.0: - version "2.2.0" - resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-2.2.0.tgz#9a0b6c2782ed6a1c7323d42267183df9bd8b1d57" - integrity sha512-DtBMo82pv1dFtUmHyr48beiuq792Sxohr+8Hm9zoxklYPfa6n0Z3Byjj2IV7bmr2IyqClnqEQhfgHJJ5QF0R5A== +domelementtype@^2.0.1: + version "2.1.0" + resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-2.1.0.tgz#a851c080a6d1c3d94344aed151d99f669edf585e" + integrity sha512-LsTgx/L5VpD+Q8lmsXSHW2WpA+eBlZ9HPf3erD1IoPF00/3JKHZ3BknUVA2QGDNu69ZNmyFmCWBSO45XjYKC5w== domhandler@^2.3.0: version "2.4.2" @@ -3477,13 +3812,6 @@ domhandler@^2.3.0: dependencies: domelementtype "1" -domhandler@^4.0.0, domhandler@^4.2.0: - version 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"https://registry.yarnpkg.com/dot-case/-/dot-case-3.0.4.tgz#9b2b670d00a431667a8a75ba29cd1b98809ce751" @@ -3529,31 +3848,69 @@ duplexer3@^0.1.4: resolved "https://registry.yarnpkg.com/duplexer3/-/duplexer3-0.1.4.tgz#ee01dd1cac0ed3cbc7fdbea37dc0a8f1ce002ce2" integrity sha1-7gHdHKwO08vH/b6jfcCo8c4ALOI= -duplexer@^0.1.1, duplexer@^0.1.2: +duplexer@^0.1.1: version "0.1.2" resolved "https://registry.yarnpkg.com/duplexer/-/duplexer-0.1.2.tgz#3abe43aef3835f8ae077d136ddce0f276b0400e6" integrity sha512-jtD6YG370ZCIi/9GTaJKQxWTZD045+4R4hTk/x1UyoqadyJ9x9CgSi1RlVDQF8U2sxLLSnFkCaMihqljHIWgMg== +duplexify@^3.4.2, duplexify@^3.6.0: + version "3.7.1" + resolved "https://registry.yarnpkg.com/duplexify/-/duplexify-3.7.1.tgz#2a4df5317f6ccfd91f86d6fd25d8d8a103b88309" + integrity sha512-07z8uv2wMyS51kKhD1KsdXJg5WQ6t93RneqRxUHnskXVtlYYkLqM0gqStQZ3pj073g687jPCHrqNfCzawLYh5g== + dependencies: + end-of-stream "^1.0.0" + inherits "^2.0.1" + readable-stream "^2.0.0" + stream-shift "^1.0.0" + ee-first@1.1.1: 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-4370,6 +4933,11 @@ he@^1.2.0: resolved "https://registry.yarnpkg.com/he/-/he-1.2.0.tgz#84ae65fa7eafb165fddb61566ae14baf05664f0f" integrity sha512-F/1DnUGPopORZi0ni+CvrCgHQ5FyEAHRLSApuYWMmrbSwoN2Mn/7k+Gl38gJnR7yyDZk6WLXwiGod1JOWNDKGw== +hex-color-regex@^1.1.0: + version "1.1.0" + resolved "https://registry.yarnpkg.com/hex-color-regex/-/hex-color-regex-1.1.0.tgz#4c06fccb4602fe2602b3c93df82d7e7dbf1a8a8e" + integrity sha512-l9sfDFsuqtOqKDsQdqrMRk0U85RZc0RtOR9yPI7mRVOa4FsR/BVnZ0shmQRM96Ji99kYZP/7hn1cedc1+ApsTQ== + history@^4.9.0: version "4.10.1" resolved "https://registry.yarnpkg.com/history/-/history-4.10.1.tgz#33371a65e3a83b267434e2b3f3b1b4c58aad4cf3" @@ -4382,6 +4950,15 @@ history@^4.9.0: tiny-warning "^1.0.0" value-equal "^1.0.1" +hmac-drbg@^1.0.0: + version "1.0.1" + resolved "https://registry.yarnpkg.com/hmac-drbg/-/hmac-drbg-1.0.1.tgz#d2745701025a6c775a6c545793ed502fc0c649a1" + integrity sha1-0nRXAQJabHdabFRXk+1QL8DGSaE= + dependencies: + hash.js "^1.0.3" + minimalistic-assert 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resolved "https://registry.yarnpkg.com/loader-runner/-/loader-runner-2.4.0.tgz#ed47066bfe534d7e84c4c7b9998c2a75607d9357" + integrity sha512-Jsmr89RcXGIwivFY21FcRrisYZfvLMTWx5kOLc+JTxtpBOG6xML0vzbc6SEQG2FO9/4Fc3wW4LVcB5DmGflaRw== -loader-utils@^1.4.0: - version "1.4.2" - resolved "https://registry.yarnpkg.com/loader-utils/-/loader-utils-1.4.2.tgz#29a957f3a63973883eb684f10ffd3d151fec01a3" - integrity sha512-I5d00Pd/jwMD2QCduo657+YM/6L3KZu++pmX9VFncxaxvHcru9jx1lBaFft+r4Mt2jK0Yhp41XlRAihzPxHNCg== +loader-utils@1.2.3: + version "1.2.3" + resolved "https://registry.yarnpkg.com/loader-utils/-/loader-utils-1.2.3.tgz#1ff5dc6911c9f0a062531a4c04b609406108c2c7" + integrity sha512-fkpz8ejdnEMG3s37wGL07iSBDg99O9D5yflE9RGNH3hRdx9SOwYfnGYdZOUIZitN8E+E2vkq3MUMYMvPYl5ZZA== + dependencies: + big.js "^5.2.2" + emojis-list "^2.0.0" + json5 "^1.0.1" + +loader-utils@^1.1.0, loader-utils@^1.2.3, loader-utils@^1.4.0: + version "1.4.0" + resolved 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"https://registry.yarnpkg.com/locate-path/-/locate-path-6.0.0.tgz#55321eb309febbc59c4801d931a72452a681d286" - integrity sha512-iPZK6eYjbxRu3uB4/WZ3EsEIMJFMqAoopl3R+zuq0UjcAm/MO6KCweDgPfP3elTztoKP3KtnVHxTn2NHBSDVUw== - dependencies: - p-locate "^5.0.0" +lodash._reinterpolate@^3.0.0: + version "3.0.0" + resolved "https://registry.yarnpkg.com/lodash._reinterpolate/-/lodash._reinterpolate-3.0.0.tgz#0ccf2d89166af03b3663c796538b75ac6e114d9d" + integrity sha1-DM8tiRZq8Ds2Y8eWU4t1rG4RTZ0= lodash.assignin@^4.0.9: version "4.2.0" @@ -5152,16 +5956,21 @@ lodash.bind@^4.1.4: resolved "https://registry.yarnpkg.com/lodash.bind/-/lodash.bind-4.2.1.tgz#7ae3017e939622ac31b7d7d7dcb1b34db1690d35" integrity sha1-euMBfpOWIqwxt9fX3LGzTbFpDTU= +lodash.camelcase@^4.3.0: + version "4.3.0" + resolved "https://registry.yarnpkg.com/lodash.camelcase/-/lodash.camelcase-4.3.0.tgz#b28aa6288a2b9fc651035c7711f65ab6190331a6" + integrity sha1-soqmKIorn8ZRA1x3EfZathkDMaY= + +lodash.chunk@^4.2.0: + version "4.2.0" + resolved "https://registry.yarnpkg.com/lodash.chunk/-/lodash.chunk-4.2.0.tgz#66e5ce1f76ed27b4303d8c6512e8d1216e8106bc" + integrity sha1-ZuXOH3btJ7QwPYxlEujRIW6BBrw= + lodash.curry@^4.0.1: version "4.1.1" resolved "https://registry.yarnpkg.com/lodash.curry/-/lodash.curry-4.1.1.tgz#248e36072ede906501d75966200a86dab8b23170" integrity sha1-JI42By7ekGUB11lmIAqG2riyMXA= -lodash.debounce@^4.0.8: - version "4.0.8" - resolved "https://registry.yarnpkg.com/lodash.debounce/-/lodash.debounce-4.0.8.tgz#82d79bff30a67c4005ffd5e2515300ad9ca4d7af" - integrity sha1-gteb/zCmfEAF/9XiUVMArZyk168= - lodash.defaults@^4.0.1: version "4.2.0" resolved "https://registry.yarnpkg.com/lodash.defaults/-/lodash.defaults-4.2.0.tgz#d09178716ffea4dde9e5fb7b37f6f0802274580c" @@ -5172,6 +5981,11 @@ lodash.filter@^4.4.0: resolved "https://registry.yarnpkg.com/lodash.filter/-/lodash.filter-4.6.0.tgz#668b1d4981603ae1cc5a6fa760143e480b4c4ace" integrity sha1-ZosdSYFgOuHMWm+nYBQ+SAtMSs4= +lodash.flatmap@^4.5.0: + version "4.5.0" + resolved "https://registry.yarnpkg.com/lodash.flatmap/-/lodash.flatmap-4.5.0.tgz#ef8cbf408f6e48268663345305c6acc0b778702e" + integrity sha1-74y/QI9uSCaGYzRTBcaswLd4cC4= + lodash.flatten@^4.2.0: version "4.4.0" resolved "https://registry.yarnpkg.com/lodash.flatten/-/lodash.flatten-4.4.0.tgz#f31c22225a9632d2bbf8e4addbef240aa765a61f" @@ -5187,6 +6001,31 @@ lodash.foreach@^4.3.0: resolved "https://registry.yarnpkg.com/lodash.foreach/-/lodash.foreach-4.5.0.tgz#1a6a35eace401280c7f06dddec35165ab27e3e53" integrity sha1-Gmo16s5AEoDH8G3d7DUWWrJ+PlM= +lodash.groupby@^4.6.0: + version "4.6.0" + resolved "https://registry.yarnpkg.com/lodash.groupby/-/lodash.groupby-4.6.0.tgz#0b08a1dcf68397c397855c3239783832df7403d1" + integrity sha1-Cwih3PaDl8OXhVwyOXg4Mt90A9E= + +lodash.has@^4.5.2: + version "4.5.2" + resolved "https://registry.yarnpkg.com/lodash.has/-/lodash.has-4.5.2.tgz#d19f4dc1095058cccbe2b0cdf4ee0fe4aa37c862" + integrity sha1-0Z9NwQlQWMzL4rDN9O4P5Ko3yGI= + +lodash.isplainobject@^4.0.6: + version "4.0.6" + resolved "https://registry.yarnpkg.com/lodash.isplainobject/-/lodash.isplainobject-4.0.6.tgz#7c526a52d89b45c45cc690b88163be0497f550cb" + integrity sha1-fFJqUtibRcRcxpC4gWO+BJf1UMs= + +lodash.isstring@^4.0.1: + version "4.0.1" + resolved "https://registry.yarnpkg.com/lodash.isstring/-/lodash.isstring-4.0.1.tgz#d527dfb5456eca7cc9bb95d5daeaf88ba54a5451" + integrity sha1-1SfftUVuynzJu5XV2ur4i6VKVFE= + +lodash.kebabcase@^4.1.1: + version "4.1.1" + resolved "https://registry.yarnpkg.com/lodash.kebabcase/-/lodash.kebabcase-4.1.1.tgz#8489b1cb0d29ff88195cceca448ff6d6cc295c36" + integrity sha1-hImxyw0p/4gZXM7KRI/21swpXDY= + lodash.map@^4.4.0: version "4.6.0" resolved "https://registry.yarnpkg.com/lodash.map/-/lodash.map-4.6.0.tgz#771ec7839e3473d9c4cde28b19394c3562f4f6d3" @@ -5202,11 +6041,21 @@ lodash.merge@^4.4.0: resolved "https://registry.yarnpkg.com/lodash.merge/-/lodash.merge-4.6.2.tgz#558aa53b43b661e1925a0afdfa36a9a1085fe57a" integrity sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ== -lodash.pick@^4.2.1: +lodash.padstart@^4.6.1: + version "4.6.1" + resolved "https://registry.yarnpkg.com/lodash.padstart/-/lodash.padstart-4.6.1.tgz#d2e3eebff0d9d39ad50f5cbd1b52a7bce6bb611b" + integrity sha1-0uPuv/DZ05rVD1y9G1KnvOa7YRs= + +lodash.pick@^4.2.1, lodash.pick@^4.4.0: version "4.4.0" resolved "https://registry.yarnpkg.com/lodash.pick/-/lodash.pick-4.4.0.tgz#52f05610fff9ded422611441ed1fc123a03001b3" integrity sha1-UvBWEP/53tQiYRRB7R/BI6AwAbM= +lodash.pickby@^4.6.0: + version "4.6.0" + resolved "https://registry.yarnpkg.com/lodash.pickby/-/lodash.pickby-4.6.0.tgz#7dea21d8c18d7703a27c704c15d3b84a67e33aff" + integrity sha1-feoh2MGNdwOifHBMFdO4SmfjOv8= + lodash.reduce@^4.4.0: version "4.6.0" resolved "https://registry.yarnpkg.com/lodash.reduce/-/lodash.reduce-4.6.0.tgz#f1ab6b839299ad48f784abbf476596f03b914d3b" @@ -5222,15 +6071,45 @@ lodash.some@^4.4.0: resolved "https://registry.yarnpkg.com/lodash.some/-/lodash.some-4.6.0.tgz#1bb9f314ef6b8baded13b549169b2a945eb68e4d" integrity sha1-G7nzFO9ri63tE7VJFpsqlF62jk0= +lodash.sortby@^4.6.0, lodash.sortby@^4.7.0: + version "4.7.0" + resolved "https://registry.yarnpkg.com/lodash.sortby/-/lodash.sortby-4.7.0.tgz#edd14c824e2cc9c1e0b0a1b42bb5210516a42438" + integrity sha1-7dFMgk4sycHgsKG0K7UhBRakJDg= + +lodash.template@^4.5.0: + version "4.5.0" + resolved "https://registry.yarnpkg.com/lodash.template/-/lodash.template-4.5.0.tgz#f976195cf3f347d0d5f52483569fe8031ccce8ab" + integrity sha512-84vYFxIkmidUiFxidA/KjjH9pAycqW+h980j7Fuz5qxRtO9pgB7MDFTdys1N7A5mcucRiDyEq4fusljItR1T/A== + dependencies: + lodash._reinterpolate "^3.0.0" + lodash.templatesettings "^4.0.0" + +lodash.templatesettings@^4.0.0: + version "4.2.0" + resolved "https://registry.yarnpkg.com/lodash.templatesettings/-/lodash.templatesettings-4.2.0.tgz#e481310f049d3cf6d47e912ad09313b154f0fb33" + integrity 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resolved "https://registry.yarnpkg.com/md5.js/-/md5.js-1.3.5.tgz#b5d07b8e3216e3e27cd728d72f70d1e6a342005f" + integrity sha512-xitP+WxNPcTTOgnTJcrhM0xvdPepipPSf3I8EIpGKeFLjt3PlJLIDG3u8EX53ZIubkb+5U2+3rELYpEhHhzdkg== + dependencies: + hash-base "^3.0.0" + inherits "^2.0.1" + safe-buffer "^5.1.2" + mdast-squeeze-paragraphs@^4.0.0: version "4.0.0" resolved "https://registry.yarnpkg.com/mdast-squeeze-paragraphs/-/mdast-squeeze-paragraphs-4.0.0.tgz#7c4c114679c3bee27ef10b58e2e015be79f1ef97" @@ -5310,10 +6218,10 @@ mdast-util-to-hast@10.0.1: unist-util-position "^3.0.0" unist-util-visit "^2.0.0" -mdast-util-to-string@^2.0.0: - version "2.0.0" - resolved "https://registry.yarnpkg.com/mdast-util-to-string/-/mdast-util-to-string-2.0.0.tgz#b8cfe6a713e1091cb5b728fc48885a4767f8b97b" - integrity sha512-AW4DRS3QbBayY/jJmD8437V1Gombjf8RSOUCMFBuo5iHi58AGEgVCKQ+ezHkZZDpAQS75hcBMpLqjpJTjtUL7w== +mdast-util-to-string@^1.1.0: + version "1.1.0" + resolved 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inherits "2.0.1" + +util@^0.11.0: + version "0.11.1" + resolved "https://registry.yarnpkg.com/util/-/util-0.11.1.tgz#3236733720ec64bb27f6e26f421aaa2e1b588d61" + integrity sha512-HShAsny+zS2TZfaXxD9tYj4HQGlBezXZMZuM/S5PKLLoZkShZiGk9o5CzukI1LVHZvjdvZ2Sj1aW/Ndn2NB/HQ== + dependencies: + inherits "2.0.3" + utila@~0.4: version "0.4.0" resolved "https://registry.yarnpkg.com/utila/-/utila-0.4.0.tgz#8a16a05d445657a3aea5eecc5b12a4fa5379772c" @@ -7898,9 +9884,9 @@ utility-types@^3.10.0: utils-merge@1.0.1: version "1.0.1" resolved "https://registry.yarnpkg.com/utils-merge/-/utils-merge-1.0.1.tgz#9f95710f50a267947b2ccc124741c1028427e713" - integrity sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA== + integrity sha1-n5VxD1CiZ5R7LMwSR0HBAoQn5xM= -uuid@^3.4.0: +uuid@^3.3.2, uuid@^3.4.0: version "3.4.0" resolved "https://registry.yarnpkg.com/uuid/-/uuid-3.4.0.tgz#b23e4358afa8a202fe7a100af1f5f883f02007ee" integrity 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