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get_job_run_details

Retrieve detailed information about an EMR Serverless job run including configuration, resource usage, and S3 log locations for troubleshooting and monitoring.

Instructions

Get detailed information about a specific EMR Serverless job run.

Shows the Spark submit config (entry point script, arguments), resource usage (vCPU hours, memory), and S3 log locations. Includes ready-to-use hints for read_spark_driver_log and browse_s3_logs.

Args: application_id: The EMR Serverless application ID (from Airflow 'initialise' task log). job_run_id: The job run ID (from Airflow processing task log). env: Target environment — 'dev', 'uat', 'test', or 'prod'. IMPORTANT: Do NOT guess or default. Ask the user which environment if not specified.

Returns comprehensive details: state, config, resource usage, S3 log paths.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
application_idYes
job_run_idYes
envNo

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