title | description | services | documentationcenter | author | manager | keywords | ms.service | ms.devlang | ms.topic | ms.date | ms.author | ms.custom |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Azure Queue storage bindings for Azure Functions |
Understand how to use the Azure Queue storage trigger and output binding in Azure Functions. |
functions |
na |
craigshoemaker |
jeconnoc |
azure functions, functions, event processing, dynamic compute, serverless architecture |
azure-functions |
multiple |
reference |
09/03/2018 |
cshoe |
cc996988-fb4f-47 |
This article explains how to work with Azure Queue storage bindings in Azure Functions. Azure Functions supports trigger and output bindings for queues.
[!INCLUDE intro]
The Queue storage bindings are provided in the Microsoft.Azure.WebJobs NuGet package, version 2.x. Source code for the package is in the azure-webjobs-sdk GitHub repository.
[!INCLUDE functions-package-auto]
[!INCLUDE functions-storage-sdk-version]
The Queue storage bindings are provided in the Microsoft.Azure.WebJobs.Extensions.Storage NuGet package, version 3.x. Source code for the package is in the azure-webjobs-sdk GitHub repository.
[!INCLUDE functions-package-v2]
Use the queue trigger to start a function when a new item is received on a queue. The queue message is provided as input to the function.
See the language-specific example:
The following example shows a C# function that polls the myqueue-items
queue and writes a log each time a queue item is processed.
public static class QueueFunctions
{
[FunctionName("QueueTrigger")]
public static void QueueTrigger(
[QueueTrigger("myqueue-items")] string myQueueItem,
ILogger log)
{
log.LogInformation($"C# function processed: {myQueueItem}");
}
}
The following example shows a queue trigger binding in a function.json file and C# script (.csx) code that uses the binding. The function polls the myqueue-items
queue and writes a log each time a queue item is processed.
Here's the function.json file:
{
"disabled": false,
"bindings": [
{
"type": "queueTrigger",
"direction": "in",
"name": "myQueueItem",
"queueName": "myqueue-items",
"connection":"MyStorageConnectionAppSetting"
}
]
}
The configuration section explains these properties.
Here's the C# script code:
#r "Microsoft.WindowsAzure.Storage"
using Microsoft.Extensions.Logging;
using Microsoft.WindowsAzure.Storage.Queue;
using System;
public static void Run(CloudQueueMessage myQueueItem,
DateTimeOffset expirationTime,
DateTimeOffset insertionTime,
DateTimeOffset nextVisibleTime,
string queueTrigger,
string id,
string popReceipt,
int dequeueCount,
ILogger log)
{
log.LogInformation($"C# Queue trigger function processed: {myQueueItem.AsString}\n" +
$"queueTrigger={queueTrigger}\n" +
$"expirationTime={expirationTime}\n" +
$"insertionTime={insertionTime}\n" +
$"nextVisibleTime={nextVisibleTime}\n" +
$"id={id}\n" +
$"popReceipt={popReceipt}\n" +
$"dequeueCount={dequeueCount}");
}
The usage section explains myQueueItem
, which is named by the name
property in function.json. The message metadata section explains all of the other variables shown.
The following example shows a queue trigger binding in a function.json file and a JavaScript function that uses the binding. The function polls the myqueue-items
queue and writes a log each time a queue item is processed.
Here's the function.json file:
{
"disabled": false,
"bindings": [
{
"type": "queueTrigger",
"direction": "in",
"name": "myQueueItem",
"queueName": "myqueue-items",
"connection":"MyStorageConnectionAppSetting"
}
]
}
The configuration section explains these properties.
Note
The name parameter reflects as context.bindings.<name>
in the JavaScript code which contains the queue item payload. This payload is also passed as the second parameter to the function.
Here's the JavaScript code:
module.exports = async function (context, message) {
context.log('Node.js queue trigger function processed work item', message);
// OR access using context.bindings.<name>
// context.log('Node.js queue trigger function processed work item', context.bindings.myQueueItem);
context.log('queueTrigger =', context.bindingData.queueTrigger);
context.log('expirationTime =', context.bindingData.expirationTime);
context.log('insertionTime =', context.bindingData.insertionTime);
context.log('nextVisibleTime =', context.bindingData.nextVisibleTime);
context.log('id =', context.bindingData.id);
context.log('popReceipt =', context.bindingData.popReceipt);
context.log('dequeueCount =', context.bindingData.dequeueCount);
context.done();
};
The usage section explains myQueueItem
, which is named by the name
property in function.json. The message metadata section explains all of the other variables shown.
The following Java example shows a storage queue trigger functions which logs the triggered message placed into queue myqueuename
.
@FunctionName("queueprocessor")
public void run(
@QueueTrigger(name = "msg",
queueName = "myqueuename",
connection = "myconnvarname") String message,
final ExecutionContext context
) {
context.getLogger().info(message);
}
In C# class libraries, use the following attributes to configure a queue trigger:
-
The attribute's constructor takes the name of the queue to monitor, as shown in the following example:
[FunctionName("QueueTrigger")] public static void Run( [QueueTrigger("myqueue-items")] string myQueueItem, ILogger log) { ... }
You can set the
Connection
property to specify the storage account to use, as shown in the following example:[FunctionName("QueueTrigger")] public static void Run( [QueueTrigger("myqueue-items", Connection = "StorageConnectionAppSetting")] string myQueueItem, ILogger log) { .... }
For a complete example, see Trigger - C# example.
-
Provides another way to specify the storage account to use. The constructor takes the name of an app setting that contains a storage connection string. The attribute can be applied at the parameter, method, or class level. The following example shows class level and method level:
[StorageAccount("ClassLevelStorageAppSetting")] public static class AzureFunctions { [FunctionName("QueueTrigger")] [StorageAccount("FunctionLevelStorageAppSetting")] public static void Run( //... { ... }
The storage account to use is determined in the following order:
- The
QueueTrigger
attribute'sConnection
property. - The
StorageAccount
attribute applied to the same parameter as theQueueTrigger
attribute. - The
StorageAccount
attribute applied to the function. - The
StorageAccount
attribute applied to the class. - The "AzureWebJobsStorage" app setting.
The following table explains the binding configuration properties that you set in the function.json file and the QueueTrigger
attribute.
function.json property | Attribute property | Description |
---|---|---|
type | n/a | Must be set to queueTrigger . This property is set automatically when you create the trigger in the Azure portal. |
direction | n/a | In the function.json file only. Must be set to in . This property is set automatically when you create the trigger in the Azure portal. |
name | n/a | The name of the variable that contains the queue item payload in the function code. |
queueName | QueueName | The name of the queue to poll. |
connection | Connection | The name of an app setting that contains the Storage connection string to use for this binding. If the app setting name begins with "AzureWebJobs", you can specify only the remainder of the name here. For example, if you set connection to "MyStorage", the Functions runtime looks for an app setting that is named "AzureWebJobsMyStorage." If you leave connection empty, the Functions runtime uses the default Storage connection string in the app setting that is named AzureWebJobsStorage . |
[!INCLUDE app settings to local.settings.json]
In C# and C# script, access the message data by using a method parameter such as string paramName
. In C# script, paramName
is the value specified in the name
property of function.json. You can bind to any of the following types:
- Object - The Functions runtime deserializes a JSON payload into an instance of an arbitrary class defined in your code.
string
byte[]
- CloudQueueMessage
If you try to bind to CloudQueueMessage
and get an error message, make sure that you have a reference to the correct Storage SDK version.
In JavaScript, use context.bindings.<name>
to access the queue item payload. If the payload is JSON, it's deserialized into an object.
The queue trigger provides several metadata properties. These properties can be used as part of binding expressions in other bindings or as parameters in your code. These are properties of the CloudQueueMessage class.
Property | Type | Description |
---|---|---|
QueueTrigger |
string |
Queue payload (if a valid string). If the queue message payload as a string, QueueTrigger has the same value as the variable named by the name property in function.json. |
DequeueCount |
int |
The number of times this message has been dequeued. |
ExpirationTime |
DateTimeOffset |
The time that the message expires. |
Id |
string |
Queue message ID. |
InsertionTime |
DateTimeOffset |
The time that the message was added to the queue. |
NextVisibleTime |
DateTimeOffset |
The time that the message will next be visible. |
PopReceipt |
string |
The message's pop receipt. |
When a queue trigger function fails, Azure Functions retries the function up to five times for a given queue message, including the first try. If all five attempts fail, the functions runtime adds a message to a queue named <originalqueuename>-poison. You can write a function to process messages from the poison queue by logging them or sending a notification that manual attention is needed.
To handle poison messages manually, check the dequeueCount of the queue message.
The queue trigger implements a random exponential back-off algorithm to reduce the effect of idle-queue polling on storage transaction costs. When a message is found, the runtime waits two seconds and then checks for another message; when no message is found, it waits about four seconds before trying again. After subsequent failed attempts to get a queue message, the wait time continues to increase until it reaches the maximum wait time, which defaults to one minute. The maximum wait time is configurable via the maxPollingInterval
property in the host.json file.
When there are multiple queue messages waiting, the queue trigger retrieves a batch of messages and invokes function instances concurrently to process them. By default, the batch size is 16. When the number being processed gets down to 8, the runtime gets another batch and starts processing those messages. So the maximum number of concurrent messages being processed per function on one virtual machine (VM) is 24. This limit applies separately to each queue-triggered function on each VM. If your function app scales out to multiple VMs, each VM will wait for triggers and attempt to run functions. For example, if a function app scales out to 3 VMs, the default maximum number of concurrent instances of one queue-triggered function is 72.
The batch size and the threshold for getting a new batch are configurable in the host.json file. If you want to minimize parallel execution for queue-triggered functions in a function app, you can set the batch size to 1. This setting eliminates concurrency only so long as your function app runs on a single virtual machine (VM).
The queue trigger automatically prevents a function from processing a queue message multiple times; functions do not have to be written to be idempotent.
The host.json file contains settings that control queue trigger behavior.
[!INCLUDE functions-host-json-queues]
Use the Azure Queue storage output binding to write messages to a queue.
See the language-specific example:
The following example shows a C# function that creates a queue message for each HTTP request received.
[StorageAccount("AzureWebJobsStorage")]
public static class QueueFunctions
{
[FunctionName("QueueOutput")]
[return: Queue("myqueue-items")]
public static string QueueOutput([HttpTrigger] dynamic input, ILogger log)
{
log.LogInformation($"C# function processed: {input.Text}");
return input.Text;
}
}
The following example shows an HTTP trigger binding in a function.json file and C# script (.csx) code that uses the binding. The function creates a queue item with a CustomQueueMessage object payload for each HTTP request received.
Here's the function.json file:
{
"bindings": [
{
"type": "httpTrigger",
"direction": "in",
"authLevel": "function",
"name": "input"
},
{
"type": "http",
"direction": "out",
"name": "return"
},
{
"type": "queue",
"direction": "out",
"name": "$return",
"queueName": "outqueue",
"connection": "MyStorageConnectionAppSetting",
}
]
}
The configuration section explains these properties.
Here's C# script code that creates a single queue message:
public class CustomQueueMessage
{
public string PersonName { get; set; }
public string Title { get; set; }
}
public static CustomQueueMessage Run(CustomQueueMessage input, ILogger log)
{
return input;
}
You can send multiple messages at once by using an ICollector
or IAsyncCollector
parameter. Here's C# script code that sends multiple messages, one with the HTTP request data and one with hard-coded values:
public static void Run(
CustomQueueMessage input,
ICollector<CustomQueueMessage> myQueueItems,
ILogger log)
{
myQueueItems.Add(input);
myQueueItems.Add(new CustomQueueMessage { PersonName = "You", Title = "None" });
}
The following example shows an HTTP trigger binding in a function.json file and a JavaScript function that uses the binding. The function creates a queue item for each HTTP request received.
Here's the function.json file:
{
"bindings": [
{
"type": "httpTrigger",
"direction": "in",
"authLevel": "function",
"name": "input"
},
{
"type": "http",
"direction": "out",
"name": "return"
},
{
"type": "queue",
"direction": "out",
"name": "$return",
"queueName": "outqueue",
"connection": "MyStorageConnectionAppSetting",
}
]
}
The configuration section explains these properties.
Here's the JavaScript code:
module.exports = function (context, input) {
context.done(null, input.body);
};
You can send multiple messages at once by defining a message array for the myQueueItem
output binding. The following JavaScript code sends two queue messages with hard-coded values for each HTTP request received.
module.exports = function(context) {
context.bindings.myQueueItem = ["message 1","message 2"];
context.done();
};
The following example shows a Java function that creates a queue message for when triggered by a HTTP request.
@FunctionName("httpToQueue")
@QueueOutput(name = "item", queueName = "myqueue-items", connection = "AzureWebJobsStorage")
public String pushToQueue(
@HttpTrigger(name = "request", methods = {HttpMethod.POST}, authLevel = AuthorizationLevel.ANONYMOUS)
final String message,
@HttpOutput(name = "response") final OutputBinding<String> result) {
result.setValue(message + " has been added.");
return message;
}
In the Java functions runtime library, use the @QueueOutput
annotation on parameters whose value would be written to Queue storage. The parameter type should be OutputBinding<T>
, where T is any native Java type of a POJO.
In C# class libraries, use the QueueAttribute.
The attribute applies to an out
parameter or the return value of the function. The attribute's constructor takes the name of the queue, as shown in the following example:
[FunctionName("QueueOutput")]
[return: Queue("myqueue-items")]
public static string Run([HttpTrigger] dynamic input, ILogger log)
{
...
}
You can set the Connection
property to specify the storage account to use, as shown in the following example:
[FunctionName("QueueOutput")]
[return: Queue("myqueue-items", Connection = "StorageConnectionAppSetting")]
public static string Run([HttpTrigger] dynamic input, ILogger log)
{
...
}
For a complete example, see Output - C# example.
You can use the StorageAccount
attribute to specify the storage account at class, method, or parameter level. For more information, see Trigger - attributes.
The following table explains the binding configuration properties that you set in the function.json file and the Queue
attribute.
function.json property | Attribute property | Description |
---|---|---|
type | n/a | Must be set to queue . This property is set automatically when you create the trigger in the Azure portal. |
direction | n/a | Must be set to out . This property is set automatically when you create the trigger in the Azure portal. |
name | n/a | The name of the variable that represents the queue in function code. Set to $return to reference the function return value. |
queueName | QueueName | The name of the queue. |
connection | Connection | The name of an app setting that contains the Storage connection string to use for this binding. If the app setting name begins with "AzureWebJobs", you can specify only the remainder of the name here. For example, if you set connection to "MyStorage", the Functions runtime looks for an app setting that is named "AzureWebJobsMyStorage." If you leave connection empty, the Functions runtime uses the default Storage connection string in the app setting that is named AzureWebJobsStorage . |
[!INCLUDE app settings to local.settings.json]
In C# and C# script, write a single queue message by using a method parameter such as out T paramName
. In C# script, paramName
is the value specified in the name
property of function.json. You can use the method return type instead of an out
parameter, and T
can be any of the following types:
- An object serializable as JSON
string
byte[]
- CloudQueueMessage
If you try to bind to CloudQueueMessage
and get an error message, make sure that you have a reference to the correct Storage SDK version.
In C# and C# script, write multiple queue messages by using one of the following types:
ICollector<T>
orIAsyncCollector<T>
- CloudQueue
In JavaScript functions, use context.bindings.<name>
to access the output queue message. You can use a string or a JSON-serializable object for the queue item payload.
Binding | Reference |
---|---|
Queue | Queue Error Codes |
Blob, Table, Queue | Storage Error Codes |
Blob, Table, Queue | Troubleshooting |
This section describes the global configuration settings available for this binding in version 2.x. The example host.json file below contains only the version 2.x settings for this binding. For more information about global configuration settings in version 2.x, see host.json reference for Azure Functions version 2.x.
Note
For a reference of host.json in Functions 1.x, see host.json reference for Azure Functions 1.x.
{
"version": "2.0",
"extensions": {
"queues": {
"maxPollingInterval": "00:00:02",
"visibilityTimeout" : "00:00:30",
"batchSize": 16,
"maxDequeueCount": 5,
"newBatchThreshold": 8
}
}
}
Property | Default | Description |
---|---|---|
maxPollingInterval | 00:00:02 | The maximum interval between queue polls. Minimum is 00:00:00.100 (100 ms). |
visibilityTimeout | 00:00:00 | The time interval between retries when processing of a message fails. |
batchSize | 16 | The number of queue messages that the Functions runtime retrieves simultaneously and processes in parallel. When the number being processed gets down to the newBatchThreshold , the runtime gets another batch and starts processing those messages. So the maximum number of concurrent messages being processed per function is batchSize plus newBatchThreshold . This limit applies separately to each queue-triggered function. If you want to avoid parallel execution for messages received on one queue, you can set batchSize to 1. However, this setting eliminates concurrency only so long as your function app runs on a single virtual machine (VM). If the function app scales out to multiple VMs, each VM could run one instance of each queue-triggered function.The maximum batchSize is 32. |
maxDequeueCount | 5 | The number of times to try processing a message before moving it to the poison queue. |
newBatchThreshold | batchSize/2 | Whenever the number of messages being processed concurrently gets down to this number, the runtime retrieves another batch. |
[!div class="nextstepaction"] Go to a tutorial that uses a Queue storage output binding