Jiandan Yang created SPARK-28743:
-------------------------------------
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.
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
