![]() ![]() Also, none of the existing Slack operators can return the response of a Slack API call, which you might want to log for monitoring purposes. The following example shows how you can use the hooks ( S3Hook and SlackHook) to retrieve values from files in an Amazon S3 bucket, run a check on them, post the result of the check on Slack, and then log the response of the Slack API.įor this use case, you'll use hooks directly in your Python functions because none of the existing Amazon S3 operators can read data from multiple files within an Amazon S3 bucket. If you regularly need to connect to an API and a hook is not available, write your own hook and share it with the community.When an operator with built-in hooks exists for your specific use case, you should use the operator instead of manually setting up a hook.If you write a custom operator to interact with an external system, it should use a hook.Hooks should always be used over manual API interaction to connect to external systems.The following are some general guidelines for using hooks in Airflow: However, there are some cases when you should use hooks directly in a Python function in your DAG. Since hooks are the building blocks of operators, their use in Airflow is often abstracted away from the DAG author. download_file: Downloads a file from the Amazon S3 location to the local file system. ![]()
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