1.根据端口号57638查看对应进程pid/name=1463/java

netstat -apn | grep  57638

tcp        0      0 ::ffff:172.20.5.10:57638    :::*                        LISTEN      1463/java

tcp        0      0 ::ffff:172.20.5.10:57638    ::ffff:172.20.5.14:59204    ESTABLISHED 1463/java

2. top 查看占用内存最多的几个进程

ps aux | grep applicationName  查看对应applicationName的pid， 第二列表示pid 1463

root      1463 12.5  2.3 5531468 3057636 ?     Sl   Oct12 315:22

3. top  -p pid -H 查看进程pid对应的线程信息，这里每个线程映射对应到linux的一个进程PID

top  -p 1463 -H

PID USER      PR  NI  VIRT  RES  SHR S %CPU %MEM    TIME+  COMMAND

1463 root      20   0 5401m 2.9g  39m S  0.0  2.3   0:00.00 java

1464 root      20   0 5401m 2.9g  39m S  0.0  2.3   0:01.69 java

4.  使用jstack查看对应线程的具体信息

jstack pid | grep -A 10 hex(id)

pid进程id,  -A 表示 取出对应行后，往后继续显示10行内容，

hex(id) 表示线程PID对应的十六进制数字，全部用小写字母表示，

可以借助计算器 或其他工具进行转换， 用python 转换： python -c "print (hex(1464))"

jstack 1463 | grep -A 10 `python -c "print (hex(1464))"` "main" #1 prio=5 os_prio=0 tid=0x00007f15ac01e800 nid=0x5b8 waiting on condition [0x00007f15b0a37000]

java.lang.Thread.State: TIMED_WAITING (parking)

at sun.misc.Unsafe.park(Native Method)

- parking to wait for  <0x0000000700016ba0> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)

at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)

at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)

at java.util.concurrent.ThreadPoolExecutor.awaitTermination(ThreadPoolExecutor.java:1465)

at org.apache.spark.rpc.netty.Dispatcher.awaitTermination(Dispatcher.scala:180)

at org.apache.spark.rpc.netty.NettyRpcEnv.awaitTermination(NettyRpcEnv.scala:273)

at org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$run$1.apply$mcV$sp(CoarseGrainedExecutorBackend.scala:231)

at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:67)

ref: http://blog.csdn.net/jiafu1115/article/details/7355628

http://flysnowxf.iteye.com/blog/1162691

https://www.zhihu.com/question/20238208

http://blog.csdn.net/hanghangaidoudou/article/details/51488249