Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

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 …

Spark Connect is a client-server architecture within Apache Spark that enables remote connectivity to Spark clusters from any application. PySpark provides the client for the Spark …

Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. Data can be ingested from many sources …

While being a maintenance release we did still upgrade some dependencies in this release they are: [SPARK-50150]: Upgrade Jetty to 9.4.56.v20240826 [SPARK-50316]: Upgrade ORC to …

Spark Release 3.5.6 Spark 3.5.6 is the sixth maintenance release containing security and correctness fixes. This release is based on the branch-3.5 maintenance branch of Spark. We …

If you’d like to build Spark from source, visit Building Spark. Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS), and it should run on any platform that runs a …

In this model, Spark is responsible for updating the Result Table when there is new data, thus relieving the users from reasoning about it. As an example, let’s see how this model handles …

Structured Streaming Programming Guide As of Spark 4.0.0, the Structured Streaming Programming Guide has been broken apart into smaller, more readable pages. You can find …

Dependency changes While being a maintenance release we did still upgrade some dependencies in this release they are: [SPARK-50886]: Upgrade Avro to 1.11.4 You can …