A database that reads and writes records on dat:// websites. How it works
Instantiate:
// in the browser
const WebDB = require('@beaker/webdb')
var webdb = new WebDB('webdb-example')
// in nodejs
const DatArchive = require('node-dat-archive')
const WebDB = require('@beaker/webdb')
var webdb = new WebDB('./webdb-example', {DatArchive})
Define your table:
webdb.define('people', {
// validate required attributes before indexing
validate(record) {
assert(record.firstName && typeof record.firstName === 'string')
assert(record.lastName && typeof record.lastName === 'string')
return true
},
// secondary indexes for fast queries (optional)
index: ['lastName', 'lastName+firstName', 'age'],
// files to index
filePattern: [
'/person.json',
'/people/*.json'
]
})
Then open the DB:
await webdb.open()
Next we add archives to be indexed into the database.
await webdb.indexArchive('dat://alice.com')
await webdb.indexArchive(['dat://bob.com', 'dat://carla.com'])
Now we can begin querying the database for records.
// get any person record where lastName === 'Roberts'
var mrRoberts = await webdb.people.get('lastName', 'Roberts')
// response attributes:
console.log(mrRoberts.lastName) // => 'Roberts'
console.log(mrRoberts) // => {lastName: 'Roberts', ...}
console.log(mrRoberts.getRecordURL()) // => 'dat://foo.com/bar.json'
console.log(mrRoberts.getRecordOrigin()) // => 'dat://foo.com'
console.log(mrRoberts.getIndexedAt()) // => 1511913554723
// get any person record named Bob Roberts
var mrRoberts = await webdb.people.get('lastName+firstName', ['Roberts', 'Bob'])
// get all person records with the 'Roberts' lastname
var robertsFamily = await webdb.people
.where('lastName')
.equalsIgnoreCase('roberts')
.toArray()
// get all person records with the 'Roberts' lastname
// and a firstname that starts with 'B'
// - this uses a compound index
var robertsFamilyWithaBName = await webdb.people
.where('lastName+firstName')
.between(['Roberts', 'B'], ['Roberts', 'B\uffff'])
.toArray()
// get all person records on a given origin
// - `:origin` is an auto-generated attribute
var personsOnBobsSite = await webdb.people
.where(':origin')
.equals('dat://bob.com')
.toArray()
// get the 30 oldest people indexed
var oldestPeople = await webdb.people
.orderBy('age')
.reverse() // oldest first
.limit(30)
.toArray()
// count the # of young people
var oldestPeople = await webdb.people
.where('age')
.belowOrEqual(18)
.count()
We can also use WebDB to create, modify, and delete records (and their matching files).
// set the record
await webdb.people.put('dat://bob.com/person.json', {
firstName: 'Bob',
lastName: 'Roberts',
age: 31
})
// update the record if it exists
await webdb.people.update('dat://bob.com/person.json', {
age: 32
})
// update or create the record
await webdb.people.upsert('dat://bob.com/person.json', {
age: 32
})
// delete the record
await webdb.people.delete('dat://bob.com/person.json')
// update the spelling of all Roberts records
await webdb.people
.where('lastName')
.equals('Roberts')
.update({lastName: 'Robertos'})
// increment the age of all people under 18
var oldestPeople = await webdb.people
.where('age')
.belowOrEqual(18)
.update(record => {
record.age = record.age + 1
})
// delete the 30 oldest people
var oldestPeople = await webdb.people
.orderBy('age')
.reverse() // oldest first
.limit(30)
.delete()
- How to use WebDB
- Table definitions
- Indexing sites
- Creating queries
- Applying linear-scan filters
- Applying query modifiers
- Executing 'read' queries
- Executing 'write' queries
- Table helper methods
- Record methods
- Handling multiple schemas
- Preprocessing records
- Serializing records
- Using JSON-Schema to validate
- Helper tables
- Class: WebDB
- Instance: WebDB
- webdb.open()
- webdb.close()
- webdb.delete()
- webdb.define(name, definition)
- webdb.indexArchive(url[, opts])
- webdb.unindexArchive(url)
- webdb.indexFile(archive, filepath)
- webdb.indexFile(url)
- webdb.unindexFile(archive, filepath)
- webdb.unindexFile(url)
- webdb.listSources()
- webdb.isSource(url)
- Event: 'open'
- Event: 'open-failed'
- Event: 'indexes-reset'
- Event: 'indexes-updated'
- Event: 'source-indexing'
- Event: 'source-index-progress'
- Event: 'source-indexed'
- Event: 'source-missing'
- Event: 'source-found'
- Event: 'source-error'
- Instance: WebDBTable
- table.count()
- table.delete(url)
- table.each(fn)
- table.filter(fn)
- table.get(url)
- table.get(key, value)
- table.isRecordFile(url)
- table.limit(n)
- table.listRecordFiles(url)
- table.name
- table.offset(n)
- table.orderBy(key)
- table.put(url, record)
- table.query()
- table.reverse()
- table.schema
- table.toArray()
- table.update(url, updates)
- table.update(url, fn)
- table.upsert(url, updates)
- table.upsert(url, fn)
- table.where(key)
- Event: 'put-record'
- Event: 'del-record'
- Instance: WebDBQuery
- query.clone()
- query.count()
- query.delete()
- query.each(fn)
- query.eachKey(fn)
- query.eachUrl(fn)
- query.filter(fn)
- query.first()
- query.keys()
- query.last()
- query.limit(n)
- query.offset(n)
- query.orderBy(key)
- query.put(record)
- query.urls()
- query.reverse()
- query.toArray()
- query.uniqueKeys()
- query.until(fn)
- query.update(updates)
- query.update(fn)
- query.where(key)
- Instance: WebDBWhereClause
- where.above(value)
- where.aboveOrEqual(value)
- where.anyOf(values)
- where.anyOfIgnoreCase(values)
- where.below(value)
- where.belowOrEqual(value)
- where.between(lowerValue, upperValue[, options])
- where.equals(value)
- where.equalsIgnoreCase(value)
- where.noneOf(values)
- where.notEqual(value)
- where.startsWith(value)
- where.startsWithAnyOf(values)
- where.startsWithAnyOfIgnoreCase(values)
- where.startsWithIgnoreCase(value)
- How it works
- Changelog
Use the define()
method to define your tables, and then call webdb.open()
to create them.
Use indexArchive()
and unindexArchive()
to control which sites will be indexed.
Indexed data will persist in the database until unindexArchive()
is called.
However, indexArchive()
should always be called on load to get the latest data.
If you only want to index the current state of a site, and do not want to watch for updates, call indexArchive()
with the {watch: false}
option.
You can index and de-index individual files using indexFile()
and unindexFile()
.
Queries are created with a chained function API.
You can create a query from the table object using .query()
, .where()
, or .orderBy()
.
The where()
method returns an object with multiple filter functions that you can use.
var myQuery = webdb.query().where('foo').equals('bar')
var myQuery = webdb.where('foo').equals('bar') // equivalent
var myQuery = webdb.where('foo').startsWith('ba')
var myQuery = webdb.where('foo').between('bar', 'baz', {includeLower: true, includeUpper: false})
Each query has a primary key.
By default, this is the url
attribute, but it can be changed using .where()
or .orderBy()
.
In this example, the primary key becomes 'foo':
var myQuery = webdb.orderBy('foo')
At this time, the primary key must be one of the indexed attributes.
There are 2 indexes created automatically for every record: url
and origin
.
The other indexes are specified in your table's define()
call using the index
option.
After the primary key index is applied, you can apply additional filters using filter(fn) and until(fn).
These methods are called "linear scan" filters because they require each record to be loaded and then filtered out.
(Until stops when it hits the first false
response.)
var myQuery = webdb.query()
.where('foo').equals('bar')
.filter(record => record.beep == 'boop') // additional filter
You can apply the following modifiers to your query to alter the output:
Once your query has been defined, you can execute and read the results using one of these methods:
Once your query has been defined, you can execute and modify the results using one of these methods:
If you try to modify rows in archives that are not writable, WebDB will throw an error.
The following methods exist on the table object for query reads and writes:
- table.delete(url)
- table.each(fn)
- table.get(url)
- table.get(key, value)
- table.put(url, record)
- table.toArray()
- table.update(url, updates)
- table.update(url, fn)
- table.upsert(url, updates)
- table.upsert(url, fn)
record.getRecordURL() // => 'dat://foo.com/bar.json'
record.getRecordOrigin() // => 'dat://foo.com'
record.getIndexedAt() // => 1511913554723
Every record is emitted in a wrapper object with the following methods:
getRecordURL()
The URL of the record.getRecordOrigin()
The URL of the site the record was found on.getIndexedAt()
The timestamp of when the record was indexed.
These attributes can be used in indexes with the following IDs:
:url
:origin
:indexedAt
For instance:
webdb.define('things', {
// ...
index: [
':indexedAt', // ordered by time the record was indexed
':origin+createdAt' // ordered by origin and declared create timestamp (a record attribute)
],
// ...
})
await webdb.open()
webdb.things.where(':indexedAt').above(Date.now() - ms('1 week'))
webdb.things.where(':origin+createdAt').between(['dat://bob.com', 0], ['dat://bob.com', Infinity])
Since the Web is a complex place, you'll frequently have to deal with multiple schemas which are slightly different. To deal with this, you can use a definition object to support multiple attribute names under one index.
webdb.define('places', {
// ...
index: [
// a simple index definition:
'name',
// an object index definition:
{name: 'zipCode', def: ['zipCode', 'zip_code']}
]
// ...
})
Now, when you run queries on the 'zipCode'
key, you will search against both 'zipCode'
and 'zip_code'
.
Note, however, that the records emitted from the query will not be changed by WebDB and so they may differ.
For example:
webdb.places.where('zipCode').equals('78705').each(record => {
console.log(record.zipCode) // may be '78705' or undefined
console.log(record.zip_code) // may be '78705' or undefined
})
To solve this, you can preprocess records.
Sometimes, you need to modify records before they're stored in the database. This can be for a number of reasons:
- Normalization. Small differences in accepted record schemas may need to be merged (see handling multiple schemas).
- Indexing. WebDB's index spec only supports toplevel attributes. If the data is embedded in a sub-object, you'll need to place the data at the top-level.
- Computed attributes.
For these cases, you can use the preprocess(record)
function in the table definition:
webdb.define('places', {
// ...
preprocess(record) {
// normalize zipCode and zip_code
if (record.zip_code) {
record.zipCode = record.zip_code
}
// move an attribute to the root object for indexing
record.title = record.info.title
// compute an attribute
record.location = `${record.address} ${record.city}, ${record.state} ${record.zipCode}`
return record
}
// ...
})
These attributes will be stored in the WebDB table.
When records are updated by WebDB, they are published to a Dat site as a file. Since these files are distributed on the Web, it's wise to avoid adding noise to the record.
To control the exact record that will be published, you can set the serialize(record)
function in the table definition:
webdb.define('places', {
// ...
serialize(record) {
// write the following object to the dat site:
return {
info: record.info,
city: record.city,
state: record.state,
zipCode: record.zipCode
}
}
// ...
})
The default way to validate records is to provide a validator function. If the function throws an error or returns falsy, the record will not be indexed.
It can be tedious to write validation functions, so you might want to use JSON-Schema:
const Ajv = require('ajv')
webdb.define('people', {
validate: (new Ajv()).compile({
type: 'object',
properties: {
firstName: {
type: 'string'
},
lastName: {
type: 'string'
},
age: {
description: 'Age in years',
type: 'integer',
minimum: 0
}
},
required: ['firstName', 'lastName']
}),
// ...
})
Sometimes you need internal storage to help you maintain application state. This may be for interfaces, or data which is private, or for special kinds of indexes.
For instance, in the Fritter app, we needed an index for notifications. This index was conditional: it needed to contain posts which were replies to the user, or likes which were on the user's post. For cases like this, you can use a "helper table."
webdb.define('notifications', {
helperTable: true,
index: ['createdAt'],
preprocess (record) {
record.createdAt = Date.now()
}
})
When the helperTable
attribute is set to true
in a table definition, the table will not be used to index Dat archives.
Instead, it will exist purely in the local data cache, and only contain data which is .put()
there.
In all other respects, it behaves like a normal table.
In Fritter, the helper table is used with events to track notifications:
// track reply notifications
webdb.posts.on('put', async ({record, url, origin}) => {
if (origin === userUrl) return // dont index the user's own posts
if (isAReplyToUser(record) === false) return // only index replies to the user
if (await isNotificationIndexed(url)) return // don't index if already indexed
await db.notifications.put(url, {type: 'reply', url})
})
webdb.posts.on('del', async ({url}) => {
if (await isNotificationIndexed(url)) {
await db.notifications.delete(url)
}
})
var webdb = new WebDB('mydb')
name
String. Defaults to'webdb'
. If run in the browser, this will be the name of the IndexedDB instance. If run in NodeJS, this will be the path of the LevelDB folder.opts
Object.DatArchive
Constructor. The class constructor for dat archive instances. If in node, you should specify node-dat-archive.
Create a new WebDB
instance.
The given name
will control where the indexes are saved.
You can specify different names to run multiple WebDB instances at once.
await WebDB.delete('mydb')
name
String. Defaults to'webdb'
. If run in the browser, this will be the name of the IndexedDB instance. If run in NodeJS, this will be the path of the LevelDB folder.- Returns Promise<Void>.
Deletes the indexes and metadata for the given WebDB.
await webdb.open()
- Returns Promise<Object>.
rebuilds
Array<String>. The tables which were built or rebuilt during setup.
Runs final setup for the WebDB instance.
This must be run after .define()
to create the table instances.
await webdb.close()
- Returns Promise<Void>.
Closes the WebDB instance.
await webdb.delete()
- Returns Promise<Void>.
Closes and destroys all indexes in the WebDB instance.
You can .delete()
and then .open()
a WebDB to recreate its indexes.
await webdb.delete()
await webdb.open()
name
String. The name of the table.definition
Object.index
Array<String or Object>. A list of attributes which should have secondary indexes produced for querying. Eachindex
value is a keypath (see https://www.w3.org/TR/IndexedDB/#dfn-key-path) or an object definition (see below).filePattern
String or Array<String>. An anymatch list of files to index.helperTable
Boolean. If true, the table will be used for storing internal data and will not be used to index Dat archives. See helper tablesvalidate
Function. A method to accept or reject a file from indexing based on its content. If the method returns falsy or throws an error, the file will not be indexed.record
Object.- Returns Boolean.
preprocess
Function. A method to modify the record after read from the dat site. See preprocessing records.record
Object.- Returns Object.
serialize
Function. A method to modify the record before write to the dat site. See serializing records.record
Object.- Returns Object.
- Returns Void.
Creates a new table on the webdb
object.
The table will be set at webdb.{name}
and be the WebDBTable
type.
This method must be called before open()
Indexed attributes may either be defined as a keypath string or an object definition. The object definition has the following values:
name
String. The name of the index.def
String or Array<String>. The definition of the index.
If the value of def
is an array, it supports each definition.
This is useful when supporting multiple schemas (learn more here).
In the index definition, you can specify compound indexes with a +
separator in the keypath.
You can also index each value of an array using the *
sigil at the start of the name.
Some example index definitions:
a simple index - 'firstName'
as an object def - {name: 'firstName', def: 'firstName'}
a compound index - 'firstName+lastName'
index an array's values - '*favoriteFruits'
many keys - {name: 'firstName', def: ['firstName', 'first_name']}
many keys, compound - {name: 'firstName+lastName', def: ['firstName+lastName', 'first_name+last_name']}
You can specify which files should be processed into the table using the filePattern
option.
If unspecified, it will default to all json files on the site ('*.json'
).
Example:
webdb.define('people', {
validate(record) {
assert(record.firstName && typeof record.firstName === 'string')
assert(record.lastName && typeof record.lastName === 'string')
return true
},
index: ['lastName', 'lastName+firstName', 'age'],
filePattern: [
'/person.json',
'/people/*.json'
]
})
await webdb.open()
// the new table will now be defined at webdb.people
await webdb.indexArchive('dat://foo.com')
url
String or DatArchive or Array<String or DatArchive>. The sites to index.opts
Object.watch
Boolean. Should WebDB watch the archive for changes, and index them immediately? Defaults to true.
- Returns Promise<Void>.
Add one or more dat:// sites to be indexed. The method will return when the site has been fully indexed. This will add the given archive to the "sources" list.
await webdb.unindexArchive('dat://foo.com')
url
String or DatArchive. The site to deindex.- Returns Promise<Void>.
Remove a dat:// site from the dataset. The method will return when the site has been fully de-indexed. This will remove the given archive from the "sources" list.
await webdb.indexFile(fooArchive, '/bar.json')
archive
DatArchive. The site containing the file to index.filepath
String. The path of the file to index.- Returns Promise<Void>.
Add a single file to the index. The method will return when the file has been indexed.
This will not add the file or its archive to the "sources" list.
Unlike indexArchive
, WebDB will not watch the file after this call.
await webdb.indexFile('dat://foo.com/bar.json')
url
String. The url of the file to index.- Returns Promise<Void>.
Add a single file to the index. The method will return when the file has been indexed.
This will not add the file or its archive to the "sources" list.
await webdb.unindexFile(fooArchive, '/bar.json')
archive
DatArchive. The site containing the file to deindex.filepath
String. The path of the file to deindex.- Returns Promise<Void>.
Remove a single file from the dataset. The method will return when the file has been de-indexed.
await webdb.unindexFile('dat://foo.com')
url
String. The url of the file to deindex.- Returns Promise<Void>.
Remove a single file from the dataset. The method will return when the file has been de-indexed.
var urls = await webdb.listSources()
- Returns Array<String>.
Lists the URLs of the dat:// sites which are included in the dataset.
var urls = await webdb.isSource('dat://foo.com')
- Returns Boolean.
Is the given dat:// URL included in the dataset?
webdb.on('open', () => {
console.log('WebDB is ready for use')
})
Emitted when the WebDB instance has been opened using open()
.
webdb.on('open-failed', (err) => {
console.log('WebDB failed to open', err)
})
error
Error.
Emitted when the WebDB instance fails to open during open()
.
webdb.on('indexes-reset', () => {
console.log('WebDB detected a change in schemas and reset all indexes')
})
Emitted when the WebDB instance detects a change in the schemas and has to reindex the dataset. All indexes are cleared and will be reindexed as sources are added.
webdb.on('indexes-updated', (url, version) => {
console.log('Tables were updated for', url, 'at version', version)
})
url
String. The archive that was updated.version
Number. The version which was updated to.
Emitted when the WebDB instance has updated the stored data for a archive.
webdb.on('source-indexing', (url, startVersion, targetVersion) => {
console.log('Tables are updating for', url, 'from version', startVersion, 'to', targetVersion)
})
url
String. The archive that was updated.startVersion
Number. The version which is being indexed from.targetVersion
Number. The version which is being indexed to.
Emitted when the WebDB instance has started to index the given archive.
webdb.on('source-index-progress', (url, tick, total) => {
console.log('Update for', url, 'is', Math.round(tick / total * 100), '% complete')
})
url
String. The archive that was updated.tick
Number. The current update being applied.total
Number. The total number of updates being applied.
Emitted when an update has been applied during an indexing process.
webdb.on('source-indexed', (url, version) => {
console.log('Tables were updated for', url, 'at version', version)
})
url
String. The archive that was updated.version
Number. The version which was updated to.
Emitted when the WebDB instance has indexed the given archive.
This is similar to 'indexes-updated'
, but it fires every time a source is indexed, whether or not it results in updates to the indexes.
webdb.on('source-missing', (url) => {
console.log('WebDB couldnt find', url, '- now searching')
})
Emitted when a source's data was not locally available or found on the network.
When this occurs, WebDB will continue searching for the data, and emit 'source-found'
on success.
webdb.on('source-found', (url) => {
console.log('WebDB has found and indexed', url)
})
Emitted when a source's data was found after originally not being found during indexing.
This event will only be emitted after 'source-missing'
is emitted.
webdb.on('source-error', (url, err) => {
console.log('WebDB failed to index', url, err)
})
Emitted when a source fails to load.
var numRecords = await webdb.mytable.count()
- Returns Promise<Number>.
Count the number of records in the table.
await webdb.mytable.delete('dat://foo.com/bar.json')
- Returns Promise<Number>. The number of deleted records (should be 0 or 1).
Delete the record at the given URL.
await webdb.mytable.each(record => {
console.log(record)
})
fn
Function.record
Object.- Returns Void.
- Returns Promise<Void>.
Iterate over all records in the table with the given function.
var records = await webdb.mytable.filter(record => {
return (record.foo == 'bar')
})
fn
Function.record
Object.- Returns Boolean.
- Returns WebDBQuery.
Start a new query and apply the given filter function to the resultset.
var record = await webdb.mytable.get('dat://foo.com/myrecord.json')
url
String. The URL of the record to fetch.- Returns Promise<Object>.
Get the record at the given URL.
var record = await webdb.mytable.get('foo', 'bar')
key
String. The keyname to search against.value
Any. The value to match against.- Promise<Object>.
Get the record first record to match the given key/value query.
var isRecord = webdb.mytable.isRecordFile('dat://foo.com/myrecord.json')
url
String.- Returns Boolean.
Tells you whether the given URL matches the table's file pattern.
var query = webdb.mytable.limit(10)
n
Number.- Returns WebDBQuery.
Creates a new query with the given limit applied.
var recordFiles = await webdb.mytable.listRecordFiles('dat://foo.com')
url
String.- Returns Promise<Array<Object>>. On each object:
recordUrl
String.table
WebDBTable.
Lists all files on the given URL which match the table's file pattern.
- String.
The name of the table.
var query = webdb.mytable.offset(5)
n
Number.- Returns WebDBQuery.
Creates a new query with the given offset applied.
var query = webdb.mytable.orderBy('foo')
key
String.- Returns WebDBQuery.
Creates a new query ordered by the given key.
await webdb.mytable.put('dat://foo.com/myrecord.json', {foo: 'bar'})
url
String.record
Object.- Returns Promise<String>. The URL of the written record.
Replaces or creates the record at the given URL with the record
.
var query = webdb.mytable.query()
- Returns WebDBQuery.
Creates a new query.
var query = webdb.mytable.reverse()
- Returns WebDBQuery.
Creates a new query with reverse-order applied.
- Object.
The schema definition for the table.
var records = await webdb.mytable.toArray()
- Returns Promise<Array>.
Returns an array of all records in the table.
var wasUpdated = await webdb.mytable.update('dat://foo.com/myrecord.json', {foo: 'bar'})
url
String. The record to update.updates
Object. The new values to set on the record.- Returns Promise<Number>. The number of records updated.
Updates the target record with the given key values, if it exists.
var wasUpdated = await webdb.mytable.update('dat://foo.com/myrecord.json', record => {
record.foo = 'bar'
return record
})
url
String. The record to update.fn
Function. A method to modify the record.record
Object. The record to modify.- Returns Object.
- Returns Promise<Number>. The number of records updated.
Updates the target record with the given function, if it exists.
var didCreateNew = await webdb.mytable.upsert('dat://foo.com/myrecord.json', {foo: 'bar'})
url
String. The record to update.updates
Object. The new values to set on the record.- Returns Promise<Number>. The number of records updated.
If a record exists at the target URL, will update it with the given key values. If a record does not exist, will create the record.
var didCreateNew = await webdb.mytable.upsert('dat://foo.com/myrecord.json', record => {
if (record) {
// update
record.foo = 'bar'
return record
}
// create
return {foo: 'bar'}
})
url
String. The record to update.fn
Function. A method to modify the record.record
Object. The record to modify. Will be falsy if the record does ot previously exist- Returns Object.
- Returns Promise<Number>. The number of records updated.
Updates the target record with the given function, if it exists. If a record does not exist, will give a falsy value to the method.
var whereClause = webdb.mytable.where('foo')
key
String.- Returns WebDBWhereClause.
Creates a new where-clause using the given key.
webdb.mytable.on('put-record', ({url, origin, indexedAt, record}) => {
console.log('Table was updated for', url, '(origin:', origin, ') at ', indexedAt)
console.log('Record data:', record)
})
url
String. The url of the record that was updated.origin
String. The url origin of the record that was updated.indexedAt
Number. The timestamp of the index update.record
Object. The content of the updated record.
Emitted when the table has updated the stored data for a record.
webdb.mytable.on('del-record', ({url, origin, indexedAt}) => {
console.log('Table was updated for', url, '(origin:', origin, ') at ', indexedAt)
})
url
String. The url of the record that was deleted.origin
String. The url origin of the record that was deleted.indexedAt
Number. The timestamp of the index update.
Emitted when the table has deleted the stored data for a record. This can happen because the record has been deleted, or because a new version of the record fails validation.
var query = webdb.mytable.query().clone()
- Returns WebDBQuery.
Creates a copy of the query.
var numRecords = await webdb.mytable.query().count()
- Returns Promise<Number>. The number of found records.
Gives the count of records which match the query.
var numDeleted = await webdb.mytable.query().delete()
- Returns Promise<Number>. The number of deleted records.
Deletes all records which match the query.
await webdb.mytable.query().each(record => {
console.log(record)
})
fn
Function.record
Object.- Returns Void.
- Returns Promise<Void>.
Calls the given function with all records which match the query.
await webdb.mytable.query().eachKey(url => {
console.log('URL =', url)
})
fn
Function.key
String.- Returns Void.
- Returns Promise<Void>.
Calls the given function with the value of the query's primary key for each matching record.
The key
is determined by the index being used.
By default, this is the url
attribute, but it can be changed by using where()
or orderBy()
.
Example:
await webdb.mytable.orderBy('age').eachKey(age => {
console.log('Age =', age)
})
await webdb.mytable.query().eachUrl(url => {
console.log('URL =', url)
})
fn
Function.url
String.- Returns Void.
- Returns Promise<Void>.
Calls the given function with the URL of each matching record.
var query = webdb.mytable.query().filter(record => {
return record.foo == 'bar'
})
fn
Function.record
Object.- Returns Boolean.
- Returns WebDBQuery.
Applies an additional filter on the query.
var record = await webdb.mytable.query().first()
- Returns Promise<Object>.
Returns the first result in the query.
var keys = await webdb.mytable.query().keys()
- Returns Promise<Array<String>>.
Returns the value of the primary key for each matching record.
The key
is determined by the index being used.
By default, this is the url
attribute, but it can be changed by using where()
or orderBy()
.
var ages = await webdb.mytable.orderBy('age').keys()
var record = await webdb.mytable.query().last()
- Returns Promise<Object>.
Returns the last result in the query.
var query = webdb.mytable.query().limit(10)
n
Number.- Returns WebDBQuery.
Limits the number of matching record to the given number.
var query = webdb.mytable.query().offset(10)
n
Number.- Returns WebDBQuery.
Skips the given number of matching records.
var query = webdb.mytable.query().orderBy('foo')
key
String.- Returns WebDBQuery.
Sets the primary key and sets the resulting order to match its values.
var numWritten = await webdb.mytable.query().put({foo: 'bar'})
record
Object.- Returns Promise<Number>. The number of written records.
Replaces each matching record with the given value.
var urls = await webdb.mytable.query().urls()
- Returns Promise<Array<String>>.
Returns the url of each matching record.
var query = webdb.mytable.query().reverse()
- Returns WebDBQuery.
Reverses the order of the results.
var records = await webdb.mytable.query().toArray()
- Returns Promise<Array<Object>>.
Returns the value of each matching record.
var keys = await webdb.mytable.query().uniqueKeys()
- Returns Promise<Array<String>>.
Returns the value of the primary key for each matching record, with duplicates filtered out.
The key
is determined by the index being used.
By default, this is the url
attribute, but it can be changed by using where()
or orderBy()
.
Example:
var ages = await webdb.mytable.orderBy('age').uniqueKeys()
var query = webdb.mytable.query().until(record => {
return record.foo == 'bar'
})
fn
Function.record
Object.- Returns Boolean.
- Returns WebDBQuery.
Stops emitting matching records when the given function returns true.
var numUpdated = await webdb.mytable.query().update({foo: 'bar'})
updates
Object. The new values to set on the record.- Returns Promise<Number>. The number of updated records.
Updates all matching record with the given values.
var numUpdated = await webdb.mytable.query().update(record => {
record.foo = 'bar'
return record
})
fn
Function. A method to modify the record.record
Object. The record to modify.- Returns Object.
- Returns Promise<Number>. The number of updated records.
Updates all matching record with the given function.
var whereClause = webdb.mytable.query().where('foo')
key
String. The attribute to query against.- Returns WebDBWhereClause.
Creates a new where clause.
var query = webdb.mytable.query().where('foo').above('bar')
var query = webdb.mytable.query().where('age').above(18)
value
Any. The lower bound of the query.- Returns WebDBQuery.
var query = webdb.mytable.query().where('foo').aboveOrEqual('bar')
var query = webdb.mytable.query().where('age').aboveOrEqual(18)
value
Any. The lower bound of the query.- Returns WebDBQuery.
var query = webdb.mytable.query().where('foo').anyOf(['bar', 'baz'])
values
Array<Any>.- Returns WebDBQuery.
Does not work on compound indexes.
var query = webdb.mytable.query().where('foo').anyOfIgnoreCase(['bar', 'baz'])
values
Array<Any>.- Returns WebDBQuery.
Does not work on compound indexes.
var query = webdb.mytable.query().where('foo').below('bar')
var query = webdb.mytable.query().where('age').below(18)
value
Any. The upper bound of the query.- Returns WebDBQuery.
var query = webdb.mytable.query().where('foo').belowOrEqual('bar')
var query = webdb.mytable.query().where('age').belowOrEqual(18)
value
Any. The upper bound of the query.- Returns WebDBQuery.
var query = webdb.mytable.query().where('foo').between('bar', 'baz', {includeUpper: true, includeLower: true})
var query = webdb.mytable.query().where('age').between(18, 55, {includeLower: true})
lowerValue
Any.upperValue
Any.options
Object.includeUpper
Boolean.includeLower
Boolean.
- Returns WebDBQuery.
var query = webdb.mytable.query().where('foo').equals('bar')
value
Any.- Returns WebDBQuery.
var query = webdb.mytable.query().where('foo').equalsIgnoreCase('bar')
value
Any.- Returns WebDBQuery.
Does not work on compound indexes.
var query = webdb.mytable.query().where('foo').noneOf(['bar', 'baz'])
values
Array<Any>.- Returns WebDBQuery.
Does not work on compound indexes.
var query = webdb.mytable.query().where('foo').notEqual('bar')
value
Any.- Returns WebDBQuery.
Does not work on compound indexes.
var query = webdb.mytable.query().where('foo').startsWith('ba')
value
Any.- Returns WebDBQuery.
Does not work on compound indexes.
var query = webdb.mytable.query().where('foo').startsWithAnyOf(['ba', 'bu'])
values
Array<Any>.- Returns WebDBQuery.
Does not work on compound indexes.
var query = webdb.mytable.query().where('foo').startsWithAnyOfIgnoreCase(['ba', 'bu'])
values
Array<Any>.- Returns WebDBQuery.
Does not work on compound indexes.
var query = webdb.mytable.query().where('foo').startsWithIgnoreCase('ba')
value
Any.- Returns WebDBQuery.
Does not work on compound indexes.
WebDB abstracts over the DatArchive API to provide a simple database-like interface. It's inspired by Dexie.js and built using LevelDB. (In the browser, it runs on IndexedDB using level.js.
WebDB scans a set of source Dat archives for files that match a path pattern. Web DB caches and indexes those files so they can be queried easily and quickly. WebDB also provides a simple interface for adding, editing, and removing records from archives.
WebDB sits on top of Dat archives. It duplicates ingested data into IndexedDB, which acts as a throwaway cache. The cached data can be reconstructed at any time from the source Dat archives.
WebDB treats individual files in the Dat archive as individual records in a table. As a result, there's a direct mapping for each table to a folder of JSON files. For instance, if you had a posts
table, it might map to the /posts/*.json
files. WebDB's mutators, e.g., put
, add
, update
, simply writes records as JSON files in the posts/
directory. WebDB's readers and query-ers, like get()
and where()
, read from the IndexedDB cache.
WebDB watches its source archives for changes to the JSON files that compose its records. When the files change, it syncs and reads the changes, then updates IndexedDB, keeping query results up-to-date. Roughly, the flow is: put() -> archive/posts/12345.json -> indexer -> indexeddb -> get()
.
Storing records in one file—posts.json
for example—is an intuitive way to manage data on the peer-to-peer Web, but putting each record in an individual file is a much better choice for performance and linkability.
The dat://
protocol doesn't support partial updates at the file-level, which means that with multiple records in a single file, every time a user adds a record, anyone who follows that user must sync and re-download the entire file. As the file continues to grow, performance will degrade. Putting each record in an individual file is much more efficient: when a record is created, peers in the network will only download the newly-created file.
Putting each record in an individual file also makes each record linkable! This isn't as important as performance, but it's a nice feature to have. See Dog Legs McBoot's status update as an example:
dat://232ac2ce8ad4ed80bd1b6de4cbea7d7b0cad1441fa62312c57a6088394717e41/posts/0jbdviucy.json
A quick overview of the notable changes to WebDB:
Added "helper tables," which make it possible to track private state and build more sophisticated indexes.
Replaced JSON-Schema validation with an open validate
function. This was done to reduce the output bundle size (by 200kb!) and to improve overall flexibility (JSON-Schema and JSON-LD do not work together very well).
The addSource()
and removeSource()
methods were replaced with indexArchive()
, indexFile()
, unindexArchive()
, and unindexFile()
.
The indexArchive()
method also provides an option to disable watching.
This change was made as we found controlling the index was an important part of using WebDB. Frequently we'd want to index an archive temporarily, for instance to view a user's profile on first visit.
This new API gives better control for those use-cases, and no longer assumes you want to continue watching an archive after indexing it once.