spark-expert
CommunityMaster Spark & PySpark performance.
Software Engineering#optimization#data engineering#performance tuning#big data#spark#pyspark#delta lake
Authorbrunoldqueiroz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps users optimize Apache Spark and PySpark jobs, resolve performance bottlenecks, and implement best practices for big data processing.
Core Features & Use Cases
- Performance Tuning: Provides guidance on optimizing shuffle operations, partitioning, and memory management.
- Delta Lake Optimization: Offers best practices for Delta Lake
OPTIMIZEandMERGEoperations, including ZORDER and Liquid Clustering. - Code Best Practices: Identifies anti-patterns like
withColumnloops and Python UDFs, suggesting efficient alternatives. - Troubleshooting: Assists in diagnosing common errors like executor OOMs and slow plan generation.
Quick Start
Use the spark-expert skill to optimize a slow PySpark job that is experiencing shuffle spills.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: spark-expert Download link: https://github.com/brunoldqueiroz/marvin/archive/main.zip#spark-expert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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