tencent cloud

Stream Compute Service

Custom Connectors

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Última atualização: 2023-11-08 14:25:19

Overview

If the built-in connectors cannot meet your needs, you can customize your own connectors by uploading source and sink API classes and dynamically loading and calling them when the job is executed.

Versions

Flink Version
Description
1.11
Supported
1.13
Supported
1.14
Supported
1.16
Supported

Prepare your connector package

You can either use a third-party connector package (such as Bahir) or build your own package.

Apache Bahir

Apache Bahir offers common source and sink extensions for Flink.
Currently, the following third-party components are provided:

Building your own package

See Flink API.

Build and upload the connector package

Step 1. Compile the source code

We recommend you refer to existing connector projects to modify the pom.xml file to import dependencies and create a JAR package in Maven.
Note
We recommend you use maven-shade-plugin to shade common dependencies such as Apache Commons and Guava to avoid conflicts between the imported dependencies and classes of Stream Compute Service.

Step 2. Upload the package

Go to the Dependencies page of the Stream Compute Service console and upload the connector package. For the first upload, the package will be v1. If you upload a new version, it will be v2, and so on.

‌### Step 3. Reference the package

On the details page of your job, under the Job parameters tab, select the package version you uploaded.
Note
To avoid unexpected errors, make sure you select the correct package version.

‌### Step 4. Save/Publish the job

Click Save to save the settings or Publish draft to publish the job.

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