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https://issues.apache.org/jira/browse/SQOOP-2411?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16125598#comment-16125598
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Anna Szonyi commented on SQOOP-2411:
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Hi [~sanysand...@gmail.com],
Thanks for following up on this jira!
In general we should only close these types of jiras if we know that we can't
solve the issue from the Sqoop side/it's an expected failure/not a problem.
However it might be a question around the cause of the exception: is the
logging sufficient for the end user to tell what the root cause was, etc. Also
it's a question of whether increasing 'net-write-timeout' or 'net-read-timeout'
should solve these and if it's just a question of increasing it further (to how
much) or if we're not passing it correctly (it's a bug on our end) or it
doesn't have the desired effect (maybe a doc update).
In general if you could reproduce the issue, and think it's solvable, this
could be an improvement to potentially improve logging or solve the time out
issues/check whether the net-read-timeout increasing helps (or a doc jira about
usage).
Thanks,
Anna
> Sqoop using '--direct' option fails with mysqldump exit code 2 and 3
> --------------------------------------------------------------------
>
> Key: SQOOP-2411
> URL: https://issues.apache.org/jira/browse/SQOOP-2411
> Project: Sqoop
> Issue Type: Bug
> Components: connectors/mysql
> Affects Versions: 1.4.6
> Environment: Amazon EMR
> Reporter: Karthick H
> Assignee: Sandish Kumar HN
> Priority: Critical
>
> I am running Sqoop in AWS EMR. I am trying to copy a table ~10 GB from MySQL
> into HDFS.
> I get the following exception
> 15/07/06 12:19:07 INFO mapreduce.Job: Task Id :
> attempt_1435664372091_0048_m_000000_2, Status : FAILED
> Error: java.io.IOException: mysqldump terminated with status 3
> at org.apache.sqoop.mapreduce.MySQLDumpMapper.map(MySQLDumpMapper.java:485)
> at org.apache.sqoop.mapreduce.MySQLDumpMapper.map(MySQLDumpMapper.java:49)
> at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:152)
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:773)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
> at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
> at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:170)
> 15/07/06 12:19:07 INFO mapreduce.Job: Task Id :
> attempt_1435664372091_0048_m_000005_2, Status : FAILED
> Error: java.io.IOException: mysqldump terminated with status 2
> at org.apache.sqoop.mapreduce.MySQLDumpMapper.map(MySQLDumpMapper.java:485)
> at org.apache.sqoop.mapreduce.MySQLDumpMapper.map(MySQLDumpMapper.java:49)
> at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:152)
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:773)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
> at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
> at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:170)
> 15/07/06 12:19:08 INFO mapreduce.Job: map 0% reduce 0%
> 15/07/06 12:19:20 INFO mapreduce.Job: map 25% reduce 0%
> 15/07/06 12:19:22 INFO mapreduce.Job: map 38% reduce 0%
> 15/07/06 12:19:23 INFO mapreduce.Job: map 50% reduce 0%
> 15/07/06 12:19:24 INFO mapreduce.Job: map 75% reduce 0%
> 15/07/06 12:19:25 INFO mapreduce.Job: map 100% reduce 0%
> 15/07/06 12:23:11 INFO mapreduce.Job: Job job_1435664372091_0048 failed with
> state FAILED due to: Task failed task_1435664372091_0048_m_000000
> Job failed as tasks failed. failedMaps:1 failedReduces:0
> 15/07/06 12:23:11 INFO mapreduce.Job: Counters: 8
> Job Counters
> Failed map tasks=28
> Launched map tasks=28
> Other local map tasks=28
> Total time spent by all maps in occupied slots (ms)=34760760
> Total time spent by all reduces in occupied slots (ms)=0
> Total time spent by all map tasks (ms)=5793460
> Total vcore-seconds taken by all map tasks=5793460
> Total megabyte-seconds taken by all map tasks=8342582400
> 15/07/06 12:23:11 WARN mapreduce.Counters: Group FileSystemCounters is
> deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead
> 15/07/06 12:23:11 INFO mapreduce.ImportJobBase: Transferred 0 bytes in
> 829.8697 seconds (0 bytes/sec)
> 15/07/06 12:23:11 WARN mapreduce.Counters: Group
> org.apache.hadoop.mapred.Task$Counter is deprecated. Use
> org.apache.hadoop.mapreduce.TaskCounter instead
> 15/07/06 12:23:11 INFO mapreduce.ImportJobBase: Retrieved 0 records.
> 15/07/06 12:23:11 ERROR tool.ImportTool: Error during import: Import job
> failed!
> If I run with out '--direct' option, I get the communication exception as in
> https://issues.cloudera.org/browse/SQOOP-186
> I have set 'net-write-timeout' and 'net-read-timeout' values in MySQL to 6000.
> My Sqoop command looks like this
> sqoop import -D mapred.task.timeout=0 --fields-terminated-by '\t'
> --escaped-by '\\' --optionally-enclosed-by '\"' --bindir ./ --connect
> jdbc:mysql://<remote ip>/<mysql db> --username tuser --password tuser --table
> table1 --target-dir=/base/table1 --split-by id -m 8 --direct
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