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[SPARK-16817][CORE][WIP] Use Alluxio to improve stability of shuffle by replication of shuffle data - #22005
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Chopinxb wants to merge 4 commits into
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[SPARK-16817][CORE][WIP] Use Alluxio to improve stability of shuffle by replication of shuffle data#22005Chopinxb wants to merge 4 commits into
Chopinxb wants to merge 4 commits into
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AmplabJenkins
commented
Aug 6, 2018
Can one of the admins verify this patch? |
jerryshao
commented
Aug 13, 2018
Contributor
I believe such kind of PR requires SPIP and community discussion first. |
zifeif2 pushed a commit
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Nov 22, 2025
Closesapache#21766Closesapache#21679Closesapache#21161Closesapache#20846Closesapache#19434Closesapache#18080Closesapache#17648Closesapache#17169 Add: Closesapache#22813Closesapache#21994Closesapache#22005Closesapache#22463 Add: Closesapache#15899 Add: Closesapache#22539Closesapache#21868Closesapache#21514Closesapache#21402Closesapache#21322Closesapache#21257Closesapache#20163Closesapache#19691Closesapache#18697Closesapache#18636Closesapache#17176Closesapache#23001 from wangyum/CloseStalePRs. Authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
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What changes were proposed in this pull request?
(In the PR, I propose to use Alluxio to help store shuffle data in order to improve the stability of complicated OLAP task.
Motivation
In original ways, when there is a shuffle fetch failure (NodeManager(shuffle service) crashed), spark will rerun previous stage to reproduce shuffle data. This way works well, but in some cases we cannot accept the recalculation price.
In this PR, when there is a shuffle fetch failure , reduce will retry fetch shuffle data from Alluxio to avoid recalculation
Usage
spark.alluxio.shuffle.enabled tureHow was this patch tested?
manual tests