diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/CommandUtils.scala b/core/src/main/scala/org/apache/spark/deploy/worker/CommandUtils.scala
index 0c761dfc93a1f..68b477f44baa3 100644
--- a/core/src/main/scala/org/apache/spark/deploy/worker/CommandUtils.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/CommandUtils.scala
@@ -60,7 +60,14 @@ object CommandUtils extends Logging {
       Seq(sparkHome + "/bin/compute-classpath" + ext),
       extraEnvironment=command.environment)
 
-    Seq("-cp", classPath) ++ libraryOpts ++ workerLocalOpts ++ userOpts ++ memoryOpts
+    val debugflag = System.getProperty("spark.excutor.debug", "false").toBoolean
+    if (!debugflag) {
+      Seq("-cp", classPath) ++ libraryOpts ++ workerLocalOpts ++ userOpts ++ memoryOpts
+    }
+    else {
+      val debugInfo = "-Xrunjdwp:transport=dt_socket,address=" +System.getProperty("spark.excutor.debug.port", "18000") +",server=y,suspend=y"
+      Seq("-Xdebug",debugInfo, "-cp", classPath) ++ libraryOpts ++ workerLocalOpts ++ userOpts ++ memoryOpts
+    }
   }
 
   /** Spawn a thread that will redirect a given stream to a file */
diff --git a/docs/monitoring.md b/docs/monitoring.md
index 15bfb041780da..165eb745e16d8 100644
--- a/docs/monitoring.md
+++ b/docs/monitoring.md
@@ -81,3 +81,7 @@ can provide fine-grained profiling on individual nodes.
 * JVM utilities such as `jstack` for providing stack traces, `jmap` for creating heap-dumps, 
 `jstat` for reporting time-series statistics and `jconsole` for visually exploring various JVM 
 properties are useful for those comfortable with JVM internals.
+
+#debug the Excutor process
+
+Since the excutor process is started by ProcessBuilder, if we wang to trace the code, we can modify the CommandUtils.scala, and rebuild the package. We can set spark.excutor.debug=true(default is false) to turn on this function and set spark.excutor.debug.port=xxxx （default is 18000）to specify the port for remote-debugging . The both option are set as jvm arguments when we start one worker process. please refer https://github.com/apache/spark/pull/157 for detail