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[SPARK-60864] Publish Apache Spark 4.3.0 to docker registry - #143
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Co-authored-by: Isaac <no-reply@databricks.com>
szehon-ho
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Nov 4, 2026
HyukjinKwon
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Add the Spark 4.3.0 images from apache/spark-docker#143 and move the rolling tags from 4.2.1 to 4.3.0. Co-authored-by: Isaac <no-reply@databricks.com>
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What changes were proposed in this pull request?
Publish Apache Spark 4.3.0 to the Docker registry:
latest, from 4.2.1 to 4.3.0.The Dockerfiles and entrypoints are generated using
./add-dockerfiles.sh 4.3.0.Why are the changes needed?
Apache Spark 4.3.0 has been released:
This follows the release publication changes in #141 for Spark 4.2.1.
Does this PR introduce any user-facing change?
Yes. Adds Spark 4.3.0 image tags and updates the floating tags to use 4.3.0.
How was this patch tested?
./add-dockerfiles.sh 4.3.0. Apart from the version and the GPG key, they are identical to the 4.2.1 variants.FD3E84942E5E6106235A1D25BD356A9F8740E4FF) against Apache Spark KEYS and the public keyserver.bash -nand verified their executable permissions.git diff --check.4.3.0/scala2.13-java17-ubuntulocally withdocker build(including GPG and SHA-512 verification of the release tarball). Then ran:spark-submit --version: reports Spark 4.3.0, Scala 2.13.18, OpenJDK 17.0.21.run-example SparkPi 10: printsPi is roughly 3.1409....The other image builds and the standalone/Kubernetes integration tests will run through the new Java 17/21/25 CI matrix.
Was this patch authored or co-authored using generative AI tooling?
Generated-by: Claude Code (Claude Opus 5.5)