ApsaraMQ for Kafka:Create Function Compute sink connectors

What is Function Compute?

Function Compute is a fully managed and event-driven serverless computing service. Function Compute allows you to focus on writing and uploading code without the need to manage infrastructure resources such as servers. Function Compute prepares elastic computing resources for you to run code in a reliable manner. For more information, see What is Function Compute?

What can Function Compute be used for?

• You can use functions to process business messages and the Function Compute platform to develop and run the processing logic of business messages. You can also use Function Compute to process orders and execute tasks.

• You can use functions to quickly process messages and perform data cleansing based on extract, transform, and load (ETL).

• You can use Function Compute to dump messages to other downstream systems in a specific virtual private cloud (VPC).

• You can use functions to connect a messaging system and another Alibaba Cloud service to deliver messages to the service.

Create a Function Compute sink connector

1. Log on to the ApsaraMQ for Kafka console. In the Resource Distribution section of the Overview page, select the region where the ApsaraMQ for Kafka instance that you want to manage resides.

2. In the left-side navigation pane, choose Connector Ecosystem Integration > Tasks.

3. On the Tasks page, click Create Task.

4. On the Create Task page, configure the Task Name and Description parameters and follow the on-screen instructions to configure other parameters. Then, click Save. The following section describes the parameters:

   • Task Creation

     1. In the Source step, set the Data Provider parameter to ApsaraMQ for Kafka and follow the on-screen instructions to configure other parameters. Then, click Next Step. The following table describes the parameters.

        Parameter	Description	Example
        Region	The region where the ApsaraMQ for Kafka instance resides.	China (Beijing)
        ApsaraMQ for Kafka Instance	The ApsaraMQ for Kafka instance in which the messages that you want to route are produced.	MQ_INST_115964845466****_ByBeUp3p
        Topic	The topic on the ApsaraMQ for Kafka instance in which the messages that you want to route are produced.	topic
        Group ID	The name of the consumer group on the ApsaraMQ for Kafka instance. You must use a separate consumer group to create the message routing source. Do not use a consumer group that is in use. Otherwise, existing messages may fail to be sent and received.	GID_http_1
        Consumer Offset	The offset from which messages are consumed.	Latest Offset
        Network Configuration	The type of the network over which you want to route messages.	Basic Network
        VPC	The ID of the virtual private cloud (VPC) in which the ApsaraMQ for Kafka instance is deployed. This parameter is required only if you set the Network Configuration parameter to Self-managed Internet.	vpc-bp17fapfdj0dwzjkd****
        vSwitch	The ID of the vSwitch with which the ApsaraMQ for Kafka instance is associated. This parameter is required only if you set the Network Configuration parameter to Self-managed Internet.	vsw-bp1gbjhj53hdjdkg****
        Security Group	The security group to which the ApsaraMQ for Kafka instance belongs. This parameter is required only if you set the Network Configuration parameter to Self-managed Internet.	alikafka_pre-cn-7mz2****
        Messages	The maximum number of messages that can be sent in each function invocation. Requests are sent only when the number of messages in the backlog reaches the specified value. Valid values: 1 to 10000.	100
        Interval (Unit: Seconds)	The time interval at which the function is invoked. The system sends the aggregated messages to Function Compute at the specified time interval. Valid values: 0 to 15. Unit: seconds. The value 0 specifies that messages are sent immediately after aggregation.	3

     2. In the Filtering step, define a data pattern in the Pattern Content code editor to filter requests. For more information, see Event patterns.

     3. In the Transformation step, specify a data cleansing method to implement data processing capabilities such as splitting, mapping, enrichment, and dynamic routing. For more information, see Data cleansing.

     4. In the Sink step, set the Service Type parameter to Function Compute and follow the on-screen instructions to configure other parameters. The following table describes the parameters.

        Parameter	Description	Example
        Service	The Function Compute service that you created.	test
        Function	The Function Compute function that you created.	test
        Version and Alias	The service version or alias.	Specified Version
        Version	The version of the function. We recommend that you select the latest version.	LATEST
        Invocation Mode	The invocation mode. Valid values: Synchronous and Asynchronous.	Asynchronous
        Event	The event transformation method. For more information, see Event transformation.	Complete Data

   • Task Property

     Configure the retry policy and dead-letter queue for the task. For more information, see Retry policies and dead-letter queues.

5. Go back to the Tasks page, find the Function Compute sink connector that you created, and then click Enable in the Actions column.

6. In the Note message, click OK.

   The sink task requires 30 to 60 seconds to be enabled. You can view the progress in the Status column on the Tasks page.

Other operations

On the Tasks page, find the message outflow task that you want to manage and perform other operations in the Actions column. The following items describe the operations that you can perform:

• View the task details: Click Details in the Actions column. On the page that appears, view the basic information, properties, and monitoring metrics of the task.

• Change the task configurations: Click Edit in the Actions column. In the Edit Task panel, change the configurations of the task.

• Enable or disable the task: Click Enable or Pause in the Actions column. In the Note message, click OK.

• Delete the task: Click Delete in the Actions column. In the Note message, click OK.