Pre-built for ; supports Hadoop 2.2 through 2.7+ Key Features and Improvements
Because Spark 2.2.1 is an older release, it is primarily hosted in the official Apache archives. You can find the necessary binaries and source code through these official channels: download spark 2.2.1
If you are a Python developer, you can install the compatible PySpark version directly using pip install pyspark==2.2.1 . Pre-built for ; supports Hadoop 2
Spark 2.2.1 was a milestone for transitioning certain features out of their experimental phases: Spark Release 2.2.1 System Requirements & Compatibility While the main Spark
For enterprise users, Cloudera's CDS 2.2 Release 1 provides a version of Spark 2.2 powered for Hadoop platforms. System Requirements & Compatibility
While the main Spark downloads page defaults to the latest versions, you can select "Spark 2.2.1" from the "Archive" link to access older builds.
Apache Spark 2.2.1 is a critical maintenance release in the Spark 2.x line, specifically designed to provide essential stability fixes and performance improvements for big data workloads. While newer major versions like Spark 3.x and 4.x are available, many legacy enterprise systems still rely on the 2.2.x branch for its proven compatibility with specific Hadoop ecosystems. Where to Download Spark 2.2.1