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From Edward sanks <edsa...@hotmail.com>
Subject CPU hits rootf with 3 streams of syslogTcp
Date Fri, 09 Sep 2011 16:30:51 GMT

Any idea why kicking 3 streams of syslogTcp takes flume process on 64-bit  centos5.4 to 120+%?
This behavior continues even when the there is no more traffic. And it hits this condition
on a large AWS machine with 7.5GB RAM. the amount of data transferred on these 3 streams was
only few KB.
I am running 0.9.4 distro. Let me know if I have missed any patches on top of this distro
I should pick up.
When stack is dumped for that process, I see exactly 6 threads in the following stack trace:
Thread XXXXX: (state = IN_NATIVE) - java.net.SocketInputStream.socketRead0(java.io.FileDescriptor,
byte[], int, int, int) @bci=0 (Compiled frame; information may be imprecise) - java.net.SocketInputStream.read(byte[],
int, int) @bci=84, line=129 (Compiled frame) - java.io.BufferedInputStream.fill() @bci=175,
line=218 (Compiled frame) - java.io.BufferedInputStream.read1(byte[], int, int) @bci=44, line=258
(Compiled frame) - java.io.BufferedInputStream.read(byte[], int, int) @bci=49, line=317 (Compiled
frame) - org.apache.thrift.transport.TIOStreamTransport.read(byte[], int, int) @bci=25, line=127
(Compiled frame) - com.cloudera.flume.handlers.thrift.TStatsTransport.read(byte[], int, int)
@bci=7, line=59 (Compiled frame) - org.apache.thrift.transport.TTransport.readAll(byte[],
int, int) @bci=22, line=84 (Compiled frame) - org.apache.thrift.protocol.TBinaryProtocol.readAll(byte[],
int, int) @bci=12, line=378 (Compiled frame) - org.apache.thrift.protocol.TBinaryProtocol.readI32()
@bci=52, line=297 (Compiled frame) - org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin()
@bci=1, line=204 (Compiled frame) - com.cloudera.flume.handlers.thrift.ThriftFlumeEventServer$Processor.process(org.apache.thrift.protocol.TProtocol,
org.apache.thrift.protocol.TProtocol) @bci=1, line=224 (Interpreted frame) - org.apache.thrift.server.TSaneThreadPoolServer$WorkerProcess.run()
@bci=150, line=280 (Interpreted frame) - java.util.concurrent.ThreadPoolExecutor$Worker.runTask(java.lang.Runnable)
@bci=59, line=886 (Interpreted frame) - java.util.concurrent.ThreadPoolExecutor$Worker.run()
@bci=28, line=908 (Interpreted frame) - java.lang.Thread.run() @bci=11, line=662 (Interpreted
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