Collects and packages Databricks diagnostic data, cluster logs, and job details into a redacted support bundle.
The Databricks Debug Bundle skill automates the complex process of gathering troubleshooting evidence from Databricks environments. It systematically collects cluster configurations, Spark driver logs, job run histories, and Delta table metadata, compiling them into a single, redacted .tar.gz archive. This skill is specifically designed to streamline the creation of Databricks support tickets by ensuring all necessary technical context is provided while automatically stripping sensitive credentials and tokens to maintain security compliance.
Key Features
01Consolidated human-readable summary of environment and workspace state
02Automated redaction of sensitive credentials and access tokens
03Deep-dive job run diagnostics including task-level error traces
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05Collection of Spark driver logs and cluster event timelines
06Delta table health checks, schema history, and file statistics
Use Cases
01Analyzing Delta table corruption or schema evolution problems
02Troubleshooting persistent Spark job failures or cluster startup issues
03Generating comprehensive diagnostic packages for Databricks support tickets
