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https://issues.apache.org/jira/browse/NUTCH-2756?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17000995#comment-17000995
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Sebastian Nagel commented on NUTCH-2756:
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Hi [~lucasp], thanks for the notice! Ugly error and ideally a task which is 
killed because the JVM occupies more memory than allowed by 
mapreduce.*.memory.mb should fail the job. A mystery why this didn't happen. 
But in any case, not a Nutch issue.

> Segment Part problem with HDFS on distibuted mode
> -------------------------------------------------
>
>                 Key: NUTCH-2756
>                 URL: https://issues.apache.org/jira/browse/NUTCH-2756
>             Project: Nutch
>          Issue Type: Bug
>          Components: parser
>    Affects Versions: 1.15
>            Reporter: Lucas Pauchard
>            Priority: Major
>         Attachments: 0_byte_file_screenshot.PNG, hadoop-env.sh, 
> hdfs-site.xml, mapred-site.xml, syslog, yarn-env.sh, yarn-site.xml
>
>
> During the parsing, it happens sometimes that parts of the data on the HDFS 
> is missing after the parsing.
> When I take a look at our HDFS, I've got this file with 0 bytes (see 
> attachments).
> After that the CrawlDB complains about this specific (corrupted?) part:
> {panel:title=log_crawl}
> 2019-12-04 22:25:57,454 INFO mapreduce.Job: Task Id : 
> attempt_1575479127636_0047_m_000017_2, Status : FAILED
> Error: java.io.EOFException: 
> hdfs://jobmaster:9000/user/hadoop/crawlmultiokhttp/segment/20191204221308/crawl_parse/part-r-00004
>  not a SequenceFile
>         at 
> org.apache.hadoop.io.SequenceFile$Reader.init(SequenceFile.java:1964)
>         at 
> org.apache.hadoop.io.SequenceFile$Reader.initialize(SequenceFile.java:1923)
>         at 
> org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1872)
>         at 
> org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1886)
>         at 
> org.apache.hadoop.mapreduce.lib.input.SequenceFileRecordReader.initialize(SequenceFileRecordReader.java:54)
>         at 
> org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.initialize(MapTask.java:560)
>         at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:798)
>         at org.apache.hadoop.mapred.MapTask.run(MapTask.java:347)
>         at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:174)
>         at java.security.AccessController.doPrivileged(Native Method)
>         at javax.security.auth.Subject.doAs(Subject.java:422)
>         at 
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1729)
>         at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:168)~
> {panel}
> When I check the namenode logs, I don't see any error during the writing of 
> the segment part but one hour later, I've got the following log:
> {panel:title=log_namenode}
> 2019-12-04 23:23:13,750 INFO 
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem: Recovering [Lease.  
> Holder: DFSClient_attempt_1575479127636_0046_r_000004_1_1307945884_1, pending 
> creates: 2], 
> src=/user/hadoop/crawlmultiokhttp/segment/20191204221308/parse_data/part-r-00004/index
> 2019-12-04 23:23:13,750 WARN org.apache.hadoop.hdfs.StateChange: BLOCK* 
> internalReleaseLease: All existing blocks are COMPLETE, lease removed, file 
> /user/hadoop/crawlmultiokhttp/segment/20191204221308/parse_data/part-r-00004/index
>  closed.
> 2019-12-04 23:23:13,750 INFO 
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem: Recovering [Lease.  
> Holder: DFSClient_attempt_1575479127636_0046_r_000004_1_1307945884_1, pending 
> creates: 1], 
> src=/user/hadoop/crawlmultiokhttp/segment/20191204221308/crawl_parse/part-r-00004
> 2019-12-04 23:23:13,750 WARN org.apache.hadoop.hdfs.StateChange: BLOCK* 
> internalReleaseLease: All existing blocks are COMPLETE, lease removed, file 
> /user/hadoop/crawlmultiokhttp/segment/20191204221308/crawl_parse/part-r-00004 
> closed.
> {panel}
> This issue is hard to reproduce and I can't figure out what are the 
> preconditions. It seems that it just happens randomly.
> Maybe the problem is coming from a bad management when we close the file.



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