git:20260710.2925510 to git:20260710.62afd0f

18 added, 13 removed. Audit B to B.

---

- 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 […]"

+ name: "Apache Spark Job Manager"

+ slug: "apache-spark-job-manager"

+ description: ""

+ github_stars: 43119

verification: "security_reviewed"

source: "https://github.com/apache/spark"

author: "apache"

- category:

- - "Data Extraction & Transformation"

- framework:

- - "Custom Agents"

+ 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:

+ Requirements and caveats from upstream:

+ - high-level APIs in Scala, Java, Python, and R (Deprecated), and an optimized engine that

+ - ## Interactive Python Shell

+ - Alternatively, if you prefer Python, you can use the Python shell:

- 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.

+ Basic usage or getting-started notes:

+ - To build Spark and its example programs, run:

+ - And run the following command, which should also return 1,000,000,000:

+ - ## Example Programs

+ - Source: https://github.com/apache/spark

+ - Extracted from upstream docs: https://raw.githubusercontent.com/apache/spark/HEAD/README.md

## Documentation

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

## Source

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