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  • Downloads - Apache Spark
    Download Spark Built-in Libraries: SQL and DataFrames; Spark Streaming; MLlib (machine learning) GraphX (graph) Third-Party Projects
  • Apache Spark™ - Unified Engine for large-scale data analytics
    Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters Download Libraries
  • Spark Release 3. 5. 0 - Apache Spark
    To download Apache Spark 3 5 0, please visit the downloads page For detailed changes , you can consult JIRA We have also curated a list of high-level changes here, grouped by major modules
  • Overview - Spark 4. 0. 0 Documentation - Apache Spark
    Get Spark from the downloads page of the project website This documentation is for Spark version 4 0 0 Spark uses Hadoop’s client libraries for HDFS and YARN Downloads are pre-packaged for a handful of popular Hadoop versions Users can also download a “Hadoop free” binary and run Spark with any Hadoop version by augmenting Spark’s
  • Spark Release 2. 4. 0 - Apache Spark
    To download Apache Spark 2 4 0, visit the downloads page You can consult JIRA for the detailed changes We have curated a list of high level changes here, grouped by major modules
  • Installation — PySpark 4. 0. 0 documentation - Apache Spark
    PySpark is included in the official releases of Spark available in the Apache Spark website For Python users, PySpark also provides pip installation from PyPI This is usually for local usage or as a client to connect to a cluster instead of setting up a cluster itself
  • Spark Release 3. 4. 0 | Apache Spark
    To download Apache Spark 3 4 0, visit the downloads page You can consult JIRA for the detailed changes We have curated a list of high level changes here, grouped by major modules
  • Documentation - Apache Spark
    Download Spark Built-in Libraries: SQL and DataFrames; Spark Streaming; MLlib (machine learning) GraphX (graph) Third-Party Projects


















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