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perf(spark): avoid redundant metadata HEADs when opening Hadoop streams - #11368
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robert3005 merged 2 commits intoNov 10, 2026
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Signed-off-by: Christopher Wirt <[email protected]>
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Nov 9, 2026
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I had a pr for this today as well
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Summary
Open pooled Hadoop streams with the known file length so S3A versions that honor the hint can avoid redundant metadata HEAD requests. Ports the Hadoop-readable changes from QC #106 onto upstream
developat2e1b05b84.Changes
fs.openFile()with optional known-length and random-read hints; other filesystems may ignore them.The improvement depends on Hadoop support. Spark 3.5's Hadoop 3.3.4 ignores the hints; compatibility is retained. The random-read hint takes precedence over a cluster-wide S3A read-policy setting on supporting Hadoop versions.
Validation
Maintainer action: add
changelog/performance; the PR author does not have permission to assign upstream labels.Inspected the two-file port. No tests, builds, lint or formatting commands were run on this port. QC #106 records targeted Hadoop-readable tests across Spark 3.5/4.0 and both Spark 3.5 Scala variants. Live post-fix S3A request counts were not measured.
The unrelated list-view writer normalization bundled in QC #106 is excluded; this PR has no Rust or
vortex-layoutchanges.AI assistance
AI tools assisted with this port and its descriptions. Christopher Wirt is the responsible contributor.