![]() Java 8 prior to version 8u371 support is deprecated as of Spark 3.5.0. It’s easy to run locally on one machine - all you need is to have java installed on your system PATH, or the JAVA_HOME environment variable pointing to a Java installation. This should include JVMs on x86_64 and ARM64. Linux, Mac OS), and it should run on any platform that runs a supported version of Java. Spark runs on both Windows and UNIX-like systems (e.g. Scala and Java users can include Spark in their projects using its Maven coordinates and Python users can install Spark from PyPI. Users can also download a “Hadoop free” binary and run Spark with any Hadoop version Downloads are pre-packaged for a handful of popular Hadoop versions. Spark uses Hadoop’s client libraries for HDFS and YARN. This documentation is for Spark version 3.5.0. ![]() Get Spark from the downloads page of the project website. ![]()
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