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Posted to issues@spark.apache.org by "hoangle (JIRA)" <ji...@apache.org> on 2017/10/20 01:42:00 UTC

[jira] [Created] (SPARK-22317) Spark Thrift job with HTTP ERROR 500

hoangle created SPARK-22317:
-------------------------------

             Summary: Spark Thrift job with HTTP ERROR 500
                 Key: SPARK-22317
                 URL: https://issues.apache.org/jira/browse/SPARK-22317
             Project: Spark
          Issue Type: Bug
          Components: Build
    Affects Versions: 1.6.3
         Environment: Hortonwork HDP-2.6
            Reporter: hoangle


I running Spark 1 Thrift Server as Proxy.

But it not running as long as I expected.

Every two days, Spark will die likely cronjob without any error log.
And sometime I can not access to Spark Thrift Server URL with http error 500. I checked on YARN RM and still see Spark Thrift running

This is this ERROR when I get error code 500.


{code:html}
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1"/>
<title>Error 500 Server Error</title>
</head>
<body><h2>HTTP ERROR 500</h2>
<p>Problem accessing /jobs/. Reason:
<pre>    Server Error</pre></p><h3>Caused by:</h3><pre>java.lang.OutOfMemoryError: Java heap space
	at java.util.Arrays.copyOfRange(Arrays.java:3664)
	at java.lang.String.<init>(String.java:207)
	at java.lang.StringBuilder.toString(StringBuilder.java:407)
	at scala.collection.mutable.StringBuilder.toString(StringBuilder.scala:427)
	at scala.xml.Node.buildString(Node.scala:161)
	at scala.xml.Node.toString(Node.scala:166)
	at org.apache.spark.ui.JettyUtils$$anonfun$htmlResponderToServlet$1.apply(JettyUtils.scala:55)
	at org.apache.spark.ui.JettyUtils$$anonfun$htmlResponderToServlet$1.apply(JettyUtils.scala:55)
	at org.apache.spark.ui.JettyUtils$$anon$1.doGet(JettyUtils.scala:83)
	at javax.servlet.http.HttpServlet.service(HttpServlet.java:735)
	at javax.servlet.http.HttpServlet.service(HttpServlet.java:848)
	at org.spark-project.jetty.servlet.ServletHolder.handle(ServletHolder.java:684)
	at org.spark-project.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1507)
	at org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter.doFilter(AmIpFilter.java:179)
	at org.spark-project.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1478)
	at org.spark-project.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:499)
	at org.spark-project.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1086)
	at org.spark-project.jetty.servlet.ServletHandler.doScope(ServletHandler.java:427)
	at org.spark-project.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1020)
	at org.spark-project.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:135)
	at org.spark-project.jetty.server.handler.GzipHandler.handle(GzipHandler.java:301)
	at org.spark-project.jetty.server.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:255)
	at org.spark-project.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:116)
	at org.spark-project.jetty.server.Server.handle(Server.java:370)
	at org.spark-project.jetty.server.AbstractHttpConnection.handleRequest(AbstractHttpConnection.java:494)
	at org.spark-project.jetty.server.AbstractHttpConnection.headerComplete(AbstractHttpConnection.java:973)
	at org.spark-project.jetty.server.AbstractHttpConnection$RequestHandler.headerComplete(AbstractHttpConnection.java:1035)
	at org.spark-project.jetty.http.HttpParser.parseNext(HttpParser.java:641)
	at org.spark-project.jetty.http.HttpParser.parseAvailable(HttpParser.java:231)
	at org.spark-project.jetty.server.AsyncHttpConnection.handle(AsyncHttpConnection.java:82)
	at org.spark-project.jetty.io.nio.SelectChannelEndPoint.handle(SelectChannelEndPoint.java:696)
	at org.spark-project.jetty.io.nio.SelectChannelEndPoint$1.run(SelectChannelEndPoint.java:53)
</pre>
<hr /><i><small>Powered by Jetty://</small></i><br/>                                                
</body>
</html>
{code}

I can see the reason is java.lang.OutOfMemoryError: Java heap space. But how can I fix that ? I do not know what option I need reconfigure on Spark




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