[SPARK-55077][CORE][K8S]: Support spark.kubernetes.archives.avoidDownloadSchemes for K8s Cluster Mode #53845
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…loadSchemes for K8s Cluster Mode Similar to SPARK-47475 for jars, this commit adds support for avoiding archive downloads in Kubernetes cluster mode when the archives are big and executor counts are high, to prevent network saturation and timeouts. Changes: - Add KUBERNETES_ARCHIVES_AVOID_DOWNLOAD_SCHEMES configuration - Implement avoidArchiveDownload function in SparkSubmit - Add test case to verify archives avoid download functionality The configuration accepts a comma-separated list of schemes (e.g., s3a, hdfs) or wildcard '*' to avoid downloading archives for any scheme.
JIRA Issue Information=== Improvement SPARK-55077 === This comment was automatically generated by GitHub Actions |
| "For use in cases when the archives are big and executor counts are high, " + | ||
| "concurrent download causes network saturation and timeouts. " + | ||
| "Wildcard '*' is denoted to not downloading archives for any the schemes.") | ||
| .version("4.0.0") |
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Since Apache Spark master branch is for 4.2.0-SNAPSHOT, new configuration should be 4.2.0, @xumanbu .
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| test("Avoid archives download if scheme matches " + |
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Please use a test prefix style.
test("Avoid archives download if scheme matches " +
test("SPARK-55077: Avoid archives download if scheme matches " +
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@dongjoon-hyun I'have fixed all comment, please take a look. but build failed may case by this pr #53720, It's not caused by this PR. |
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What changes were proposed in this pull request?
Similar to SPARK-47475 for jars, this commit adds support for avoiding archive downloads in Kubernetes cluster mode when the archives are big and executor counts are high, to prevent network saturation and timeouts.
Why are the changes needed?
Does this PR introduce any user-facing change?
Changes:
The configuration accepts a comma-separated list of schemes (e.g., s3a, hdfs) or wildcard '*' to avoid downloading archives for any scheme.
How was this patch tested?
Was this patch authored or co-authored using generative AI tooling?
NO