DB Tsai created SPARK-29351:
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Summary: Avoid full synchronization in ShuffleMapStage
Key: SPARK-29351
URL: https://issues.apache.org/jira/browse/SPARK-29351
Project: Spark
Issue Type: New Feature
Components: Spark Core
Affects Versions: 2.4.4
Environment: #
Reporter: DB Tsai
Fix For: 3.0.0
In one of our production streaming jobs that has more than 1k executors, and
each has 20 cores, Spark spends significant portion of time (30s) in sending
out the `ShuffeStatus`. We find there are two issues.
# In driver's message loop, it's calling `serializedMapStatus` which is in sync
block. When the job scales really big, it can cause the contention.
# When the job is big, the `MapStatus` is huge as well, the serialization time
and compression time is slow.
This work aims to address the first problem.
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