jiangxb1987 commented on a change in pull request #28541:
URL: https://github.com/apache/spark/pull/28541#discussion_r426987592
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File path: core/src/main/scala/org/apache/spark/memory/ExecutionMemoryPool.scala
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@@ -138,6 +140,11 @@ private[memory] class ExecutionMemoryPool(
if (toGrant < numBytes && curMem + toGrant < minMemoryPerTask) {
logInfo(s"TID $taskAttemptId waiting for at least 1/2N of $poolName
pool to be free")
lock.wait()
+ } else if (toGrant == 0 && memoryFree > 0) {
Review comment:
That's exactly what I mean, the executor is oversubscribed by tasks. The
task OOM because the executor memory is not enough, the choice here is either
to launch worker node with more memory, or change the value of
`spark.task.cpus` to allow less tasks run in parallel.
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