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databricks-connect

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Run Databricks code locally with Claude.

Software Engineering#debugging#environment-variables#pyspark#local-development#databricks#databricks-connect
Authorrywerth-dbx
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Enable local development and debugging of Databricks PySpark code by guiding safe setup and usage of Databricks Connect, avoiding hardcoded credentials and confusion around serverless vs cluster compute.

Core Features & Use Cases

  • Guides configuring a DatabricksSession via Databricks Connect for local-to-remote execution.
  • Covers serverless vs cluster compute decisions, environment-based authentication, and common connectivity issues.
  • Provides best practices for developing and debugging PySpark workflows against a Databricks workspace.

Quick Start

Run a local PySpark workflow using Databricks Connect by calling DatabricksSession.builder.getOrCreate() to connect to your Databricks workspace.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: databricks-connect
Download link: https://github.com/rywerth-dbx/claude-databricks-starter/archive/main.zip#databricks-connect

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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