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serverless-spark-cancel-batch

docs/en/integrations/serverless-spark/tools/serverless-spark-cancel-batch.md

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About

serverless-spark-cancel-batch tool cancels a running Spark batch operation in a Google Cloud Serverless for Apache Spark source. The cancellation request is asynchronous, so the batch state will not change immediately after the tool returns; it can take a minute or so for the cancellation to be reflected.

serverless-spark-cancel-batch accepts the following parameters:

  • operation (required): The name of the operation to cancel. For example, for projects/my-project/locations/us-central1/operations/my-operation, you would pass my-operation.

The tool inherits the project and location from the source configuration.

Compatible Sources

{{< compatible-sources >}}

Example

yaml
kind: tool
name: cancel_spark_batch
type: serverless-spark-cancel-batch
source: my-serverless-spark-source
description: Use this tool to cancel a running serverless spark batch operation.

Output Format

json
"Cancelled [projects/my-project/regions/us-central1/operations/my-operation]."

Reference

fieldtyperequireddescription
typestringtrueMust be "serverless-spark-cancel-batch".
sourcestringtrueName of the source the tool should use.
descriptionstringtrueDescription of the tool that is passed to the LLM.
authRequiredstring[]falseList of auth services required to invoke this tool