1、找出当前CPU资源消耗最大的进程

用top命令，发现java进程（pid:8424）CPU资源消耗达到192%,如下图：输入图片说明

确定java资源消耗过多。

2、打印当前JVM堆栈

jstack 8424 > /tmp/jstack.txt

堆栈信息见附件1

3、找到当前堆栈资源消耗多的线程

命令如下：

top -H -p8424

结果如下：

8320 nwd 20 0 6275m 4.8g 7044 R 44.6 62.7 3:57.00 java 
8365 nwd 20 0 6275m 4.8g 7044 R 32.4 62.7 4:06.09 java 
19016 nwd 20 0 6275m 4.8g 7044 R 22.5 62.7 0:24.47 java 
8289 nwd 20 0 6275m 4.8g 7044 S 14.1 62.7 16:27.13 java 
8356 nwd 20 0 6275m 4.8g 7044 S 13.5 62.7 6:40.18 java 
8333 nwd 20 0 6275m 4.8g 7044 R 10.3 62.7 5:21.39 java

从上面查询出来的结果可以找到cpu消耗靠前的线程的pid，下一步根据pid从堆栈里面查找相应的线程。注意：这里pid是十进制的，线程nid是十六进制，要做进制转换。进制转换网址：http://tool.oschina.net/hexconvert/, 或者参考如下命令：

[ylp@ylp-web-01 ~]$ printf "%x\n" 14065
36f1

4、分析资源消耗靠前的线程

下面分析cpu资源消耗靠前的三个线程。

这里是列表文本线程pid=8320(0x2080)的线程堆栈如下：

"epollEventLoopGroup-3-5" prio=10 tid=0x00007fed00272000 nid=0x2080 runnable [0x00007fece29e6000]
java.lang.Thread.State: RUNNABLE
at sun.misc.Unsafe.unpark(Native Method)
at java.util.concurrent.locks.LockSupport.unpark(LockSupport.java:152)
at java.util.concurrent.locks.AbstractQueuedSynchronizer.unparkSuccessor(AbstractQueuedSynchronizer.java:662)
at java.util.concurrent.locks.AbstractQueuedSynchronizer.release(AbstractQueuedSynchronizer.java:1263)
at java.util.concurrent.locks.ReentrantLock.unlock(ReentrantLock.java:460)
at java.util.concurrent.LinkedBlockingQueue.signalNotEmpty(LinkedBlockingQueue.java:174)
at java.util.concurrent.LinkedBlockingQueue.offer(LinkedBlockingQueue.java:429)
at com.dianping.cat.message.io.DefaultMessageQueue.offer(DefaultMessageQueue.java:22)
at com.dianping.cat.analysis.PeriodTask.enqueue(PeriodTask.java:44)
at com.dianping.cat.analysis.Period.distribute(Period.java:85)
at com.dianping.cat.analysis.RealtimeConsumer.consume(RealtimeConsumer.java:53)
at com.dianping.cat.analysis.DefaultMessageHandler.handle(DefaultMessageHandler.java:28)
at com.dianping.cat.analysis.TcpSocketReceiver$MessageDecoder.decode(TcpSocketReceiver.java:147)
at io.netty.handler.codec.ByteToMessageDecoder.callDecode(ByteToMessageDecoder.java:247)
at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:147)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787)
at io.netty.channel.epoll.EpollSocketChannel$EpollSocketUnsafe.epollInReady(EpollSocketChannel.java:722)
at io.netty.channel.epoll.EpollEventLoop.processReady(EpollEventLoop.java:326)
at io.netty.channel.epoll.EpollEventLoop.run(EpollEventLoop.java:264)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:137)
at java.lang.Thread.run(Thread.java:745)
Locked ownable synchronizers:
- None

当前线程是消息接收器，从客户端传过来消息，然后交给consumer消费。

这里是列表文本线程pid=8365（0x20ad）堆栈信息如下：

"cat-Message-Gzip-19" daemon prio=10 tid=0x00007fed1c203800 nid=0x20ad runnable [0x00007fece0eb9000]
java.lang.Thread.State: RUNNABLE
at sun.misc.Unsafe.unpark(Native Method)
at java.util.concurrent.locks.LockSupport.unpark(LockSupport.java:152)
at java.util.concurrent.locks.AbstractQueuedSynchronizer.unparkSuccessor(AbstractQueuedSynchronizer.java:662)
at java.util.concurrent.locks.AbstractQueuedSynchronizer.release(AbstractQueuedSynchronizer.java:1263)
at java.util.concurrent.locks.ReentrantLock.unlock(ReentrantLock.java:460)
at java.util.concurrent.LinkedBlockingQueue.signalNotEmpty(LinkedBlockingQueue.java:174)
at java.util.concurrent.LinkedBlockingQueue.offer(LinkedBlockingQueue.java:429)
at com.dianping.cat.consumer.dump.LocalMessageBucketManager$MessageGzip.gzipMessage(LocalMessageBucketManager.java:303)
at com.dianping.cat.consumer.dump.LocalMessageBucketManager$MessageGzip.run(LocalMessageBucketManager.java:332)
at java.lang.Thread.run(Thread.java:745)
at org.unidal.helper.Threads$RunnableThread.run(Threads.java:294)
Locked ownable synchronizers:
- None

当前线程是处理消息分析结果压缩和解压的。

这里是列表文本线程pid=19016（0x4a48）的堆栈信息如下：

"Cat-RealtimeConsumer-ProblemAnalyzer-10-1" daemon prio=10 tid=0x00007fed181ed800 nid=0x4a48 runnable [0x00007fecd9c1c000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x0000000711fd73b8> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2082)
at java.util.concurrent.LinkedBlockingQueue.poll(LinkedBlockingQueue.java:467)
at com.dianping.cat.message.io.DefaultMessageQueue.poll(DefaultMessageQueue.java:49)
at com.dianping.cat.analysis.AbstractMessageAnalyzer.analyze(AbstractMessageAnalyzer.java:40)
at com.dianping.cat.analysis.PeriodTask.run(PeriodTask.java:80)
at java.lang.Thread.run(Thread.java:745)
at org.unidal.helper.Threads$RunnableThread.run(Threads.java:294)
Locked ownable synchronizers:
- None

该线程是分析当前消息是否是异常消息，如果是异常消息，要统计异常数及异常堆栈信息。

分析发现，资源消耗靠前的线程都是在正常处理业务，怀疑是不是消息负载太大导致CPU效果过高。想起来Cat自身有个state报表，查看一下当前消息处理的量。输入图片说明

5、总结

处理这种问题，首先在合适的时机打印出堆栈信息，找到资源消耗靠前的线程重点分析。

附件：附件1

6、附打印top线程及jstack信息的脚本

#!/bin/sh

cd `dirname $0`
APP_HOME=`pwd`
typeset top=${1:-10}
#typeset pid=${2:-$(pgrep -u $USER java)}
typeset pid=`ps -ef | grep java | grep "${APP_HOME}" |awk '{print $2}'`
typeset tmp_file=./java${pid}.trace

top -H -p $pid -b -d 1 -n 1 | head -20 > $tmp_file

$JAVA_HOME/bin/jstack -l $pid >> $tmp_file
ps H -eo user,pid,ppid,tid,time,%cpu --sort=%cpu --no-headers\
        | tail -$top\
        | awk -v "pid=$pid" '$2==pid{print $4"\t"$6}'\
        | while read line;
do
        typeset nid=$(echo "$line"|awk '{printf("0x%x",$1)}')
        typeset cpu=$(echo "$line"|awk '{print $2}')
        awk -v "cpu=$cpu" '/nid='"$nid"'/,/^$/{print $0"\t"(isF++?"":"cpu="cpu"%");}' $tmp_file
done

来源：oschina

链接：https://my.oschina.net/u/185041/blog/1523467

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