---
title: "Discussion on \"The Distributed Compute Playground: Everything You Can Plug In and Tune in an Apache Spark Job\" | Hashnode"
description: "Discussion on \"The Distributed Compute Playground: Everything You Can Plug In and Tune in an Apache Spark Job\". TL;DR: An Apache Spark job is not one thing. It is a stack of nine layers, and almost every layer has parts you can swap: where executors come from, how the code is written, which engine runs the plan"
url: "https://hashnode.com/posts/the-distributed-compute-playground-everything-you-can-plug-in-and-tune-in-an-apache-spark-job/6abe2a21bc1ce0845234dc50"
---

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# [The Distributed Compute Playground: Everything You Can Plug In and Tune in an Apache Spark Job](https://ani-db.hashnode.dev/the-distributed-compute-playground-everything-you-can-plug-in-and-tune-in-an-apache-spark-job?utm_source=hashnode&utm_medium=feed)

TL;DR: An Apache Spark job is not one thing. It is a stack of nine layers, and almost every layer has parts you can swap: where executors come from, how the code is written, which engine runs the plan

Oct 1 · 65 min read · ani-db.hashnode.dev  
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## Written by

[Aniketh Deshpande](https://hashnode.com/@ASDeshpande)

@ASDeshpande · Bangalore, India

  
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Data Engineer

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