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1. spark.apache.org › downloadsDownloads - Apache Spark

   spark.apache.org › downloads

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   Download Spark: spark-3.5.3-bin-hadoop3.tgz. Verify this release using the 3.5.3 signatures, checksums and project release KEYS by following these procedures. Note that Spark 3 is pre-built with Scala 2.12 in general and Spark 3.2+ provides additional pre-built distribution with Scala 2.13.

2. spark.apache.org › docs › latestOverview - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org › docs › latest

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   Spark runs on Java 8/11/17, Scala 2.12/2.13, Python 3.8+, and R 3.5+. Java 8 prior to version 8u371 support is deprecated as of Spark 3.5.0. When using the Scala API, it is necessary for applications to use the same version of Scala that Spark was compiled for.

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4. community.cloudera.com › t5 › Community-ArticlesSpark and Java versions Supportability Matrix - Cloudera ...

   community.cloudera.com › t5 › Community-Articles

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   Mar 25, 2024 · Note: According to the Cloudera documentation, Spark 3.3.0 only supports Java 8 and 11. However, the official Spark documentation lists Java 8, 11, and 17 as compatible versions. References: Apache Spark - A Unified engine for large-scale data analytics. CDS 3.3 Powered by Apache Spark Requirements.

5. spark.apache.org › releases › spark-release-3/5/0Spark Release 3.5.0 - Apache Spark

   spark.apache.org › releases › spark-release-3/5/0

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   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.

6. www.databricks.com › blog › introducing-apache-sparkIntroducing Apache Spark™ 3.5 - Databricks

   www.databricks.com › blog › introducing-apache-spark

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   Sep 15, 2023 · PySpark Features. This release introduces significant enhancements to PySpark including Arrow-optimized Python User Defined Functions (UDFs), Python User Defined Table Functions (UDTFs), improved error messages, and a new testing API that considerably improves usability, performance, and testability in PySpark.

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7. stackoverflow.com › questions › 71338809Which spark should I download? - Stack Overflow

   stackoverflow.com › questions › 71338809

   Mar 3, 2022 · 1 Answer. Sorted by: 0. You should download the latest version that includes Hadoop since that's what you want to setup. That would be Spark 3.x, not 2.3. If you already have Hadoop environment (HDFS/YARN), download the one without Hadoop. If you're not going to right R code, don't download the SparkR version.

8. People also ask

   Which version of spark should I download if I don't have Hadoop?

   • You should download the latest version that includes Hadoop since that's what you want to setup. That would be Spark 3.x, not 2.3 If you already have Hadoop environment (HDFS/YARN), download the one without Hadoop. If you're not going to right R code, don't download the SparkR version

   Which spark should I download? - Stack Overflow

   stackoverflow.com/questions/71338809/which-spark-should-i-download

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   Does spark support Java 8?

   • Java 8 prior to version 8u371 support is deprecated as of Spark 3.5.0. When using the Scala API, it is necessary for applications to use the same version of Scala that Spark was compiled for. For example, when using Scala 2.13, use Spark compiled for 2.13, and compile code/applications for Scala 2.13 as well.

   Overview - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org/docs/latest/

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   What is Apache Spark?

   • Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs.

   Overview - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org/docs/latest/

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   Is spark compatible with Java & Scala?

   • Related: Spark 3.5.0 Compatible Java and Scala Versions Using an incorrect or unsupported Python, Java, or Scala version with Spark might result in various issues or errors when running Spark applications or working within the Spark environment; hence, it is always best practice to install the right compatibility versions.

   PySpark Versions Supportability Matrix - Spark By Examples

   sparkbyexamples.com/spark/spark-versions-supportability-matrix/

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   What version of Scala does spark run on?

   • Spark runs on Java 8/11/17, Scala 2.12/2.13, Python 3.8+, and R 3.5+. Java 8 prior to version 8u371 support is deprecated as of Spark 3.5.0. When using the Scala API, it is necessary for applications to use the same version of Scala that Spark was compiled for.

   Overview - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org/docs/latest/

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   What version of spark does Cloudera support?

   • * means Cloudera recommended Java version. ^ means Upstream Spark is supported. Note: According to the Clouderadocumentation, Spark 3.3.0 only supports Java 8 and 11. However, the official Spark documentation lists Java 8, 11, and 17 as compatible versions. References:

   Spark and Java versions Supportability Matrix

   community.cloudera.com/t5/Community-Articles/Spark-and-Java-versions-Supportability-Matrix/ta-p/383669

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9. sparkbyexamples.com › spark › spark-versionsPySpark Versions Supportability Matrix - Spark By Examples

   sparkbyexamples.com › spark › spark-versions

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   Mar 27, 2024 · Spark's or PySpark's support for various Python, Java, and Scala versions advances with each release, embracing language enhancements and optimizations.