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  1. Jun 8, 2023 · Spark 3.4.0 runs on Java 8/11/17, Scala 2.12/2.13, Python 3.7+, and R 3.5+. Java 8 prior to version 8u362 support is deprecated as of Spark 3.4.0. Spark 3.4.0 Official documentation

  2. Jun 12, 2023 · Apache Spark is a popular open-source distributed computing system. It is written in Scala and runs on the Java Virtual Machine (JVM). This means that developers who want to use Spark with Java must have a Java Development Kit (JDK) installed on their system.

    • Install IntelliJ IDEA: If you haven’t already, download and install IntelliJ IDEA from the official website. You can use the free Community edition or the Ultimate edition for more advanced features.
    • Install Java: Make sure you have Java Development Kit (JDK) installed on your system. You can download it from the Oracle website or use OpenJDK.
    • Create a New Project: Open IntelliJ IDEA and create a new Java project
    • Add Spark Dependency: In your pom.xml (Maven project file), add the Apache Spark dependencies.
  3. Feb 11, 2023 · Download JDK 1.8 from IntelliJ itself: IntelliJ provides the option to download and install the Java Development Kit (JDK) required for your project. In this case, select JDK 1.8, which...

  4. Jun 27, 2020 · Apache Spark with Java requires a little bit of set up before running first program. For Linux, set up is pretty straightforward — install Java JDK, create a Java Maven or Gradle project...

  5. Jan 14, 2022 · Download Spark here: https://spark.apache.org/downloads.html. Here I selected the latest release (3.2.0) pre-built for Apache Hadoop 3.3 . Then unpack the package and move it to your preferred folder:

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  7. Aug 3, 2023 · Apache Spark is the platform of choice due to its blazing data processing speed, ease-of-use, and fault tolerant features. In this article, we took a look at the architecture of Spark and what is the secret of its lightning-fast processing speed with the help of an example.

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