Apache Spark 3 is now available in Cloudera Machine Learning (CML)

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With CML's multi-version Spark support, CML users can now run different versions of Spark side by side, even within a single project. Users can select to use Spark 3 in the most recent CML version and take advantage of performance and stability improvements in the latest version of Spark.

Data Scientists can run workloads in both Spark 2 and Spark 3 within the same CML Workspace, thus maintaining backward compatibility with existing workloads while developing new applications on the latest version of Spark. Users can select the Spark version they want to use for each workload, making it easy to migrate older jobs using Spark 2 to Spark 3.