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Mar 25, 2024 · However, choosing the right Java version for your Spark application is crucial for optimal performance, security, and compatibility. This article dives deep into the officially supported Java versions for Spark , along with helpful advice on choosing the right one for your project.
Mar 27, 2024 · Spark Compatibility Matrix of Java and Scala. If you are using Spark with Scala, you must install the right Java and Scala versions. Here’s a table summarizing Spark versions along with their compatible Java and Scala versions: Spark’s Compatibility with Java and Scala Versions.
- Link with Spark
- Installing with Docker
- Release Notes For Stable Releases
- Archived Releases
Spark artifacts are hosted in Maven Central. You can add a Maven dependency with the following coordinates:
Spark docker images are available from Dockerhub under the accounts of both The Apache Software Foundation and Official Images. Note that, these images contain non-ASF software and may be subject to different license terms. Please check their Dockerfilesto verify whether they are compatible with your deployment.
As new Spark releases come out for each development stream, previous ones will be archived,but they are still available at Spark release archives. NOTE: Previous releases of Spark may be affected by security issues. Please consult theSecuritypage for a list of known issues that may affect the version you downloadbefore deciding to use it.
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
Upcoming Removal. The following features will be removed in the next Spark major release. Support for Java 8 and Java 11, and the minimal supported Java version will be Java 17. Support for Scala 2.12, and the minimal supported Scala version will be 2.13.
Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS), and it should run on any platform that runs a supported version of Java. This should include JVMs on x86_64 and ARM64.
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Jun 12, 2023 · Spark requires a JDK version of 8 or higher. This means that developers can use JDK 8, 9, 10, 11, or 12 with Spark. However, it is recommended to use the latest version of JDK for better performance and security. It is important to note that Spark does not support JDK 7 or lower versions.