Databricks Common Errors

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by jeremylongshore · vlatest · Repository

This skill identifies and explains common Databricks error messages, saving you time troubleshooting and accelerating your workflow.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add databricks-common-errors npx -- -y @trustedskills/databricks-common-errors
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "databricks-common-errors": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/databricks-common-errors"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill helps identify and interpret common Databricks error messages. It can analyze error logs, suggest potential causes based on the message text, and recommend troubleshooting steps to resolve issues within a Databricks environment. The goal is to reduce debugging time and improve overall cluster stability.

When to use it

  • You're encountering an unexpected error while running a Databricks notebook or job.
  • You need help understanding a cryptic error message in your Databricks logs.
  • You want to proactively identify potential issues within your Databricks environment before they impact production workloads.
  • You are debugging performance bottlenecks related to data processing errors.

Key capabilities

  • Error Message Analysis: Interprets and explains common Databricks error messages.
  • Root Cause Suggestion: Proposes possible causes for identified errors.
  • Troubleshooting Recommendations: Provides steps to resolve the detected issues.

Example prompts

  • "What does this Databricks error mean: 'java.lang.IllegalArgumentException: UDF cannot be null'?"
  • "I’m getting a ‘ResourceNotFoundException’ in my Databricks cluster, what could be causing it?"
  • “Can you suggest troubleshooting steps for the following Databricks error: 'org.apache.spark.sql.AnalysisException: Cannot resolve '...'”

Tips & gotchas

  • Provide the full error message for accurate interpretation. The more context provided, the better the suggestions will be.

Tags

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Details

Version
vlatest
License
Author
jeremylongshore
Installs
12

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Passed automated security scans.