Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/17744
Spark jobs are running on yarn cluster in my warehouse. We enabled the
external shuffle service(--conf spark.shuffle.service.enabled=true). Recently
NodeManager runs OOM now and then. Dumping heap memory, we find that
OneFroOneStreamManager's footprint is huge. NodeManager is configured with 5G
heap memory. While OneForOneManager costs 2.5G and there are 5503233
FileSegmentManagedBuffer objects.
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