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Apache Spark jobs: DataFrames, shuffle, streaming, tuning v1.0.0

Use this resource to write and tune Apache Spark data processing jobs

New

  • 415 downloads
  • 107 likes
  • 171 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install apache-spark-jobs-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 writes DataFrame transformations and Spark SQL queries, implements RDD pipelines, tunes shuffle operations and executor memory, and handles partitioning of Parquet files. It also builds structured streaming analytics.

Mostly picked by

Updated November 2, 2026

Card for the “Apache Spark jobs: DataFrames, shuffle, streaming, tuning” skill

Details

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

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What you get

  • references/spark-sql-dataframes.md and rdd-operations.md: DataFrames, Spark SQL and RDDs
  • references/performance-tuning.md, partitioning-caching.md, streaming-patterns.md: tuning, partitioning and streaming

Good fit for

  • Your Spark job fails with an executor memory error
  • You are building structured streaming analytics on Parquet files

Not for

    Tags

    • spark
    • big-data
    • dataframe
    • streaming

    About

    You say

    “My Spark job on Parquet files runs out of memory: explain the shuffle and suggest a partition setting.”

    Card for the “Apache Spark jobs: DataFrames, shuffle, streaming, tuning” skill

    Skill published by jeffallan 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 write and tune Apache Spark data processing jobs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/partitioning-caching.md15 KB
    • references/performance-tuning.md16 KB
    • references/rdd-operations.md16.6 KB
    • references/spark-sql-dataframes.md14 KB
    • references/streaming-patterns.md20.8 KB
    • SKILL.md6.7 KB

    Origin and licence

    Listed unmodified

    Author
    jeffallan
    Source
    github.com/jeffallan/claude-skills/tree/b7f220d32a0925c9bbfd24995e208e76bb74507c/skills/spark-engineer
    Licence
    MIT

    Notice

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

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