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1. • Maven

     • Maven is the official build tool recommended for packaging Spark, and is the build of reference. But SBT is supported for day-to-day development since it can provide much faster iterative compilation. More advanced developers may wish to use SBT.
     Reference:

     Building Spark - Spark 3.5.3 Documentation - Apache Spark

2. People also ask

   Which build tool should I use for spark?

   • I have also been looking into this question. Here are some things I have found. Maven is the official build tool recommended for packaging Spark, and is the build of reference. But SBT is supported for day-to-day development since it can provide much faster iterative compilation.

   SBT vs Maven for a new Scala/Spark project? - Stack Overflow

   stackoverflow.com/questions/37783973/sbt-vs-maven-for-a-new-scala-spark-project

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   What IDE do you use for spark?

   • While many of the Spark developers use SBT or Maven on the command line, the most common IDE we use is IntelliJ IDEA. You can get the community edition for free (Apache committers can get free IntelliJ Ultimate Edition licenses) and install the JetBrains Scala plugin from Preferences > Plugins. To create a Spark project for IntelliJ:

   Useful Developer Tools - Apache Spark

   spark.apache.org/developer-tools.html

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   How do I use spark shell?

   • Spark’s shell provides a simple way to learn the API, as well as a powerful tool to analyze data interactively. It is available in either Scala (which runs on the Java VM and is thus a good way to use existing Java libraries) or Python. Start it by running the following in the Spark directory:

   Quick Start - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org/docs/latest/quick-start.html

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   Why should you use spark?

   • Speed — Spark has features such as its Catalyst Optimizer which uses using techniques such as filtering and indexing to ensure tasks such as SQL type queries are performed in the most efficient order. Community Support — Spark has a massive global following and is evolving rapidly adding more tools and functionality on a continual basis.

   Complete Guide to Spark and PySpark Setup for Data Science

   towardsdatascience.com/complete-guide-to-spark-and-pyspark-setup-for-data-science-374ecd8d1eea

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   Does spark come with a Maven installation?

   • Spark now comes packaged with a self-contained Maven installation to ease building and deployment of Spark from source located under the build/ directory. This script will automatically download and setup all necessary build requirements (Maven, Scala) locally within the build/ directory itself.

   Building Spark - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org/docs/latest/building-spark.html

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   Can I use pyspark with spark?

   • Spark uses Scala as its default programming language. However using PySpark we can also use Spark via Python. The main benefit of using Spark with Scala is performance efficiencies particularly around streaming where Spark/Scala is much more developed than Python.

   Complete Guide to Spark and PySpark Setup for Data Science

   towardsdatascience.com/complete-guide-to-spark-and-pyspark-setup-for-data-science-374ecd8d1eea

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3. spark.apache.org › docs › latestBuilding Spark - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org › docs › latest

   • Cached

   Maven is the official build tool recommended for packaging Spark, and is the build of reference. But SBT is supported for day-to-day development since it can provide much faster iterative compilation. More advanced developers may wish to use SBT.

4. medium.com › @suffyan › spark-essentials-aSpark Essentials: A Guide to Setting up and Running Spark ...

   medium.com › @suffyan › spark-essentials-a

   Jan 27, 2024 · This article provides a detailed guide on how to initialize a Spark project using the Scala Build Tool (SBT). The guide covers every step of the process, including creating projects,...

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6. spark.apache.org › docs › latestQuick Start - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org › docs › latest

   • Cached

   This tutorial provides a quick introduction to using Spark. We will first introduce the API through Spark’s interactive shell (in Python or Scala), then show how to write applications in Java, Scala, and Python. To follow along with this guide, first, download a packaged release of Spark from the Spark website.

7. spark.apache.org › developer-toolsUseful Developer Tools - Apache Spark

   spark.apache.org › developer-tools

   • Cached

   Useful developer tools. Reducing build times. SBT: Avoiding re-creating the assembly JAR. Spark’s default build strategy is to assemble a jar including all of its dependencies. This can be cumbersome when doing iterative development.

8. towardsdatascience.com › complete-guide-to-sparkComplete Guide to Spark and PySpark Setup for Data Science

   towardsdatascience.com › complete-guide-to-spark

   Sep 24, 2021 · Spark uses Scala as its default programming language. However using PySpark we can also use Spark via Python. The main benefit of using Spark with Scala is performance efficiencies particularly around streaming where Spark/Scala is much more developed than Python.

9. medium.com › @suffyan › spark-essentials-aSpark Essentials: A Guide to Setting Up, Packaging, and ...

   medium.com › @suffyan › spark-essentials-a

   Dec 30, 2023 · You can use tools like venv-pack, Conda, or PEX to package your code and dependencies into a deployable artifact.

10. stackoverflow.com › questions › 37783973SBT vs Maven for a new Scala/Spark project? - Stack Overflow

    stackoverflow.com › questions › 37783973

    Jun 13, 2016 · According to the Apache Spark documentation: Maven is the official build tool recommended for packaging Spark, and is the build of reference. But SBT is supported for day-to-day development since it can provide much faster iterative compilation. More advanced developers may wish to use SBT.