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Optimising Apache Spark jobs v1.0.0

Use this resource to speed up a slow Apache Spark job or size its memory

New

  • 508 downloads
  • 228 likes
  • 113 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install spark-job-performance-tuning

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent analyses Spark's execution model, adjusts partitioning, caching and transformations, then tunes executor memory. It also helps diagnose slow jobs and skewed data.

Mostly picked by

Updated November 2, 2026

Card for the “Optimising Apache Spark jobs” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: execution model, optimised session setup and best practices
  • references/details.md: detailed patterns and examples

Good fit for

  • A Spark job runs far longer than usual
  • Your jobs fail for lack of memory

Not for

    Tags

    • spark
    • performance
    • shuffle
    • memory

    About

    You say

    “This Spark join job takes three hours: find out why and cut the shuffle.”

    Card for the “Optimising Apache Spark jobs” skill

    Skill published by wshobson under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to speed up a slow Apache Spark job or size its memory
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/details.md9.9 KB
    • SKILL.md3.2 KB

    Origin and licence

    Listed unmodified

    Author
    wshobson
    Source
    github.com/wshobson/agents/tree/0874a27b17a22e2b7c2e2bcd725768e0803cad06/plugins/data-engineering/skills/spark-optimization
    Licence
    MIT

    Notice

    « spark-optimization » (wshobson, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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