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[MINOR][DOC] spark.executor.memoryOverhead is not cluster-mode only #30311
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Test build #130847 has finished for PR 30311 at commit
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Kubernetes integration test starting |
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Kubernetes integration test status success |
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retest this please |
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Kubernetes integration test starting |
srowen
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Yes I believe you're correct.
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Kubernetes integration test status success |
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Test build #130872 has finished for PR 30311 at commit
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retest this please |
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Kubernetes integration test starting |
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Kubernetes integration test status success |
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Test build #130899 has finished for PR 30311 at commit
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cc @cloud-fan @maropu too~ |
| private[spark] val EXECUTOR_MEMORY_OVERHEAD = ConfigBuilder("spark.executor.memoryOverhead") | ||
| .doc("The amount of non-heap memory to be allocated per executor in cluster mode, " + | ||
| "in MiB unless otherwise specified.") | ||
| .doc("The amount of non-heap memory to be allocated per executor, in MiB unless otherwise" + |
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This change means that the non-cluster mode refers to this value?
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yes, the 'client' deploy mode respects this too
### What changes were proposed in this pull request? Remove "in cluster mode" from the description of `spark.executor.memoryOverhead` ### Why are the changes needed? fix correctness issue in documentaion ### Does this PR introduce _any_ user-facing change? yes, users may not get confused about the description `spark.executor.memoryOverhead` ### How was this patch tested? pass GA doc generation Closes #30311 from yaooqinn/minordoc. Authored-by: Kent Yao <[email protected]> Signed-off-by: Takeshi Yamamuro <[email protected]> (cherry picked from commit 4335af0) Signed-off-by: Takeshi Yamamuro <[email protected]>
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Thanks! Merged to master/branch-3.0. Could you open a PR to backport this into branch-2.4? |
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yea, thanks for merging |
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@maropu the description for |
What changes were proposed in this pull request?
Remove "in cluster mode" from the description of
spark.executor.memoryOverheadWhy are the changes needed?
fix correctness issue in documentaion
Does this PR introduce any user-facing change?
yes, users may not get confused about the description
spark.executor.memoryOverheadHow was this patch tested?
pass GA doc generation