Hi Alexander, is your yarn userlog just for the executor log ? as for those logs seem a little difficult to exactly decide the wrong point, due to sometimes successful job may also have some kinds of the error ... but will repair itself.spark seems not that stable currently ... Thank you in advance~
On Friday, June 17, 2016 6:53 PM, Zhiliang Zhu <zchl.j...@yahoo.com> wrote: Hi Alexander, Thanks a lot for your reply. Yes, submitted by yarn.Do you just mean in the executor log file by way of yarn logs -applicationId id, in this file, both in some containers' stdout and stderr : 16/06/17 14:05:40 INFO client.TransportClientFactory: Found inactive connection to ip-172-31-20-104/172.31.20.104:49991, creating a new one. 16/06/17 14:05:40 ERROR shuffle.RetryingBlockFetcher: Exception while beginning fetch of 1 outstanding blocksjava.io.IOException: Failed to connect to ip-172-31-20-104/172.31.20.104:49991 <------ may it be due to that spark is not stable, and spark may repair itself for these kinds of error ? (saw some in successful run ) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:193) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156)............Caused by: java.net.ConnectException: Connection refused: ip-172-31-20-104/172.31.20.104:49991 at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224) at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) 16/06/17 11:54:38 ERROR executor.Executor: Managed memory leak detected; size = 16777216 bytes, TID = 100323 <----- would it be memory leak issue? though no GC exception threw for other normal kinds of out of memory 16/06/17 11:54:38 ERROR executor.Executor: Exception in task 145.0 in stage 112.0 (TID 100323)java.io.IOException: Filesystem closed at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:837) at org.apache.hadoop.hdfs.DFSInputStream.close(DFSInputStream.java:679) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:903) at java.io.DataInputStream.readFully(DataInputStream.java:195) at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripeFooter(RecordReaderImpl.java:2265) at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripe(RecordReaderImpl.java:2635)........... sorry, there is some information in the middle of the log file, but all is okay at the end part of the log .in the run log file as log_file generated by command:nohup spark-submit --driver-memory 20g --num-executors 20 --class com.dianrong.Main --master yarn-client dianrong-retention_2.10-1.0.jar doAnalysisExtremeLender /tmp/drretention/test/output 0.96 /tmp/drretention/evaluation/test_karthik/lgmodel /tmp/drretention/input/feature_6.0_20151001_20160531_behavior_201511_201604_summary/lenderId_feature_live 50 > log_file executor 40 lost <------ would it be due to this, sometimes job may fail for the reason .......... at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:903) at java.io.DataInputStream.readFully(DataInputStream.java:195) at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripeFooter(RecordReaderImpl.java:2265) at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripe(RecordReaderImpl.java:2635).......... Thanks in advance! On Friday, June 17, 2016 3:52 PM, Alexander Kapustin <kp...@hotmail.com> wrote: #yiv1365829940 -- filtered {panose-1:2 4 5 3 5 4 6 3 2 4;}#yiv1365829940 filtered {font-family:Calibri;panose-1:2 15 5 2 2 2 4 3 2 4;}#yiv1365829940 p.yiv1365829940MsoNormal, #yiv1365829940 li.yiv1365829940MsoNormal, #yiv1365829940 div.yiv1365829940MsoNormal {margin:0cm;margin-bottom:.0001pt;font-size:11.0pt;}#yiv1365829940 a:link, #yiv1365829940 span.yiv1365829940MsoHyperlink {color:blue;text-decoration:underline;}#yiv1365829940 a:visited, #yiv1365829940 span.yiv1365829940MsoHyperlinkFollowed {color:#954F72;text-decoration:underline;}#yiv1365829940 .yiv1365829940MsoChpDefault {}#yiv1365829940 filtered {margin:2.0cm 42.5pt 2.0cm 3.0cm;}#yiv1365829940 div.yiv1365829940WordSection1 {}#yiv1365829940 Hi, Did you submit spark job via YARN? In some cases (memory configuration probably), yarn can kill containers where spark tasks are executed. In this situation, please check yarn userlogs for more information… --WBR, Alexander From: Zhiliang Zhu Sent: 17 июня 2016 г. 9:36 To: Zhiliang Zhu; User Subject: Re: spark job automatically killed without rhyme or reason anyone ever met the similar problem, which is quite strange ... On Friday, June 17, 2016 2:13 PM, Zhiliang Zhu <zchl.j...@yahoo.com.INVALID> wrote: Hi All, I have a big job which mainly takes more than one hour to run the whole, however, it is very much unreasonable to exit & finish to run midway (almost 80% of the job finished actually, but not all), without any apparent error or exception log. I submitted the same job for many times, it is same as that.In the last line of the run log, just one word "killed" to end, or sometimes not any other wrong log, all seems okay but should not finish. What is the way for the problem? Is there any other friends that ever met the similar issue ... Thanks in advance!