Jiandan Yang created SPARK-28743:
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Summary: YarnShuffleService leads to NodeManager OOM because
ChannelOutboundBuffer has to many entry
Key: SPARK-28743
URL: https://issues.apache.org/jira/browse/SPARK-28743
Project: Spark
Issue Type: Bug
Components: Shuffle
Affects Versions: 2.2.3
Reporter: Jiandan Yang
NodeManager heap size is 4G, io.netty.channel.ChannelOutboundBuffer$Entry
occupied about 2.8G by looking at Histogram of Mat, and those Entries were hold
by ChannelOutboundBuffer by looking at dominator_tree of mat. By analyzing one
fo ChannelOutboundBuffer object, I found there were 248867 entries in the
object of ChannelOutboundBuffer (ChannelOutboundBuffer#flushed=248867), and
ChannelOutboundBuffer#totalPengdingSize=23891232 which is more than
highwaterMark(64K), and unwritable=1 meaning sending buffer was full. But
ChannelHandler seems not check unwritable flag when write message, and finally
NodeManager occurs OOM.
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