Apache Spark Job Manager git:20260710.2925510B

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---
title: "Apache Spark Job Manager"
description: "Apache Spark Job Manager is built around Apache Spark distributed compute engine. The underlying ecosystem is represented by apache/spark (43,027+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like Spark jobs, DataFrames, SQL, executors, stages, Structured Streaming and […]"
verification: "security_reviewed"
source: "https://github.com/apache/spark"
author: "apache"
category:
  - "Data Extraction & Transformation"
framework:
  - "Custom Agents"
tool_ecosystem:
  github_repo: "apache/spark"
  github_stars: 43119
---

# Apache Spark Job Manager

Apache Spark Job Manager is built around Apache Spark distributed compute engine. The underlying ecosystem is represented by apache/spark (43,027+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like Spark jobs, DataFrames, SQL, executors, stages, Structured Streaming and […]

## Prerequisites

Java, Scala, Python

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Documentation

- https://spark.apache.org/docs/latest/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/apache-spark-job-manager/)