I have asked this question over and over and am starting to believe that I am missing out on something really basic here. Not a lot of people seem to have come across this and I am really stuck on this one:
I get this error when I specify merge key argument with incremental import lastmodified in sqoop. If I run the job through command line, it works alright but not when I submit it to oozie. I submit my jobs through oozie. Not sure if oozie is the problem or hue, but sqoop job is not since it really works fine when executed through command line including the merge step.
My sqoop job looks like this:
sqoop job --meta-connect jdbc:hsqldb:hsql://FQDN:16000/sqoop
--create test_table -- import --driver com.mysql.jdbc.Driver --connect
jdbc:mysql://IP/DB?zeroDateTimeBehavior=convertToNull --username
USER_NAME --password 'PASSWORD' --table test_table --merge-key id --
split-by id --target-dir LOCATION --incremental lastmodified
--last-value 0 --check-column updated_at
The first import works alright .Starting second import I get:
I created a small test table to test with an int, datetime and varchar , without any NULL or invalid chars in the data and yet I faced the same issue:
# id, updated_at, name
'1', '2016-07-02 17:16:53', 'l'
'3', '2016-06-29 14:12:53', 'f'
There were only 2 rows in the data and yet I got this:
Error: java.lang.IllegalArgumentException
at java.nio.ByteBuffer.allocate(ByteBuffer.java:330)
at org.apache.hadoop.mapred.SpillRecord.<init>(SpillRecord.java:51)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.mergeParts(MapTask.java:1848)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.flush(MapTask.java:1508)
at org.apache.hadoop.mapred.MapTask$NewOutputCollector.close(MapTask.java:723)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:793)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Error: java.io.IOException: Illegal partition for 3 (-2)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.collect(MapTask.java:1083)
at org.apache.hadoop.mapred.MapTask$NewOutputCollector.write(MapTask.java:715)
at org.apache.hadoop.mapreduce.task.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:89)
at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.write(WrappedMapper.java:112)
at org.apache.sqoop.mapreduce.MergeMapperBase.processRecord(MergeMapperBase.java:82)
at org.apache.sqoop.mapreduce.MergeTextMapper.map(MergeTextMapper.java:58)
at org.apache.sqoop.mapreduce.MergeTextMapper.map(MergeTextMapper.java:34)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Error: java.lang.IllegalArgumentException
at java.nio.ByteBuffer.allocate(ByteBuffer.java:330)
at org.apache.hadoop.mapred.SpillRecord.<init>(SpillRecord.java:51)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.mergeParts(MapTask.java:1848)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.flush(MapTask.java:1508)
at org.apache.hadoop.mapred.MapTask$NewOutputCollector.close(MapTask.java:723)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:793)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Error: java.io.IOException: Illegal partition for 1 (-2)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.collect(MapTask.java:1083)
at org.apache.hadoop.mapred.MapTask$NewOutputCollector.write(MapTask.java:715)
at org.apache.hadoop.mapreduce.task.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:89)
at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.write(WrappedMapper.java:112)
at org.apache.sqoop.mapreduce.MergeMapperBase.processRecord(MergeMapperBase.java:82)
at org.apache.sqoop.mapreduce.MergeTextMapper.map(MergeTextMapper.java:58)
at org.apache.sqoop.mapreduce.MergeTextMapper.map(MergeTextMapper.java:34)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
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:1693)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
I get this error only in OOZIE and submit the job through HUE and this works just fine including the Merge mapreduce when I run the sqoop job through command line
Taken from oozie launcher, This is what my mapreduce job logs look like:
NOtice: MERGE map-reduce job failed error at the bottom:
Invoking Sqoop command line now >>>
5373 [uber-SubtaskRunner] WARN org.apache.sqoop.tool.SqoopTool - $SQOOP_CONF_DIR has not been set in the environment. Cannot check for additional configuration.
5407 [uber-SubtaskRunner] INFO org.apache.sqoop.Sqoop - Running Sqoop version: 1.4.6-cdh5.7.0
5702 [uber-SubtaskRunner] WARN org.apache.sqoop.tool.BaseSqoopTool - Setting your password on the command-line is insecure. Consider using -P instead.
5715 [uber-SubtaskRunner] WARN org.apache.sqoop.ConnFactory - $SQOOP_CONF_DIR has not been set in the environment. Cannot check for additional configuration.
5740 [uber-SubtaskRunner] WARN org.apache.sqoop.ConnFactory - Parameter --driver is set to an explicit driver however appropriate connection manager is not being set (via --connection-manager). Sqoop is going to fall back to org.apache.sqoop.manager.GenericJdbcManager. Please specify explicitly which connection manager should be used next time.
5754 [uber-SubtaskRunner] INFO org.apache.sqoop.manager.SqlManager - Using default fetchSize of 1000
5754 [uber-SubtaskRunner] INFO org.apache.sqoop.tool.CodeGenTool - Beginning code generation
6091 [uber-SubtaskRunner] INFO org.apache.sqoop.manager.SqlManager - Executing SQL statement: SELECT t.* FROM test_table AS t WHERE 1=0
6098 [uber-SubtaskRunner] INFO org.apache.sqoop.manager.SqlManager - Executing SQL statement: SELECT t.* FROM test_table AS t WHERE 1=0
6118 [uber-SubtaskRunner] INFO org.apache.sqoop.orm.CompilationManager - HADOOP_MAPRED_HOME is /opt/cloudera/parcels/CDH-5.7.0-1.cdh5.7.0.p0.45/lib/hadoop-mapreduce
8173 [uber-SubtaskRunner] INFO org.apache.sqoop.orm.CompilationManager - Writing jar file: /tmp/sqoop-yarn/compile/454902ac78d49b783a1f51b7bfe0a2be/test_table.jar
8185 [uber-SubtaskRunner] INFO org.apache.sqoop.manager.SqlManager - Executing SQL statement: SELECT t.* FROM test_table AS t WHERE 1=0
8192 [uber-SubtaskRunner] INFO org.apache.sqoop.tool.ImportTool - Incremental import based on column updated_at
8192 [uber-SubtaskRunner] INFO org.apache.sqoop.tool.ImportTool - Lower bound value: '2016-07-02 17:13:24.0'
8192 [uber-SubtaskRunner] INFO org.apache.sqoop.tool.ImportTool - Upper bound value: '2016-07-02 17:16:56.0'
8194 [uber-SubtaskRunner] INFO org.apache.sqoop.mapreduce.ImportJobBase - Beginning import of test_table
8214 [uber-SubtaskRunner] INFO org.apache.sqoop.manager.SqlManager - Executing SQL statement: SELECT t.* FROM test_table AS t WHERE 1=0
8230 [uber-SubtaskRunner] WARN org.apache.sqoop.mapreduce.JobBase - SQOOP_HOME is unset. May not be able to find all job dependencies.
8716 [uber-SubtaskRunner] INFO org.apache.sqoop.mapreduce.db.DBInputFormat - Using read commited transaction isolation
8717 [uber-SubtaskRunner] INFO org.apache.sqoop.mapreduce.db.DataDrivenDBInputFormat - BoundingValsQuery: SELECT MIN(id), MAX(id) FROM test_table WHERE ( updated_at >= '2016-07-02 17:13:24.0' AND updated_at < '2016-07-02 17:16:56.0' )
8721 [uber-SubtaskRunner] INFO org.apache.sqoop.mapreduce.db.IntegerSplitter - Split size: 0; Num splits: 4 from: 1 to: 1
25461 [uber-SubtaskRunner] INFO org.apache.sqoop.mapreduce.ImportJobBase - Transferred 26 bytes in 17.2192 seconds (1.5099 bytes/sec)
25471 [uber-SubtaskRunner] INFO org.apache.sqoop.mapreduce.ImportJobBase - Retrieved 1 records.
25536 [uber-SubtaskRunner] WARN org.apache.sqoop.mapreduce.ExportJobBase - IOException checking input file header: java.io.EOFException
25550 [uber-SubtaskRunner] WARN org.apache.sqoop.mapreduce.JobBase - SQOOP_HOME is unset. May not be able to find all job dependencies.
Heart beat
Heart beat
70628 [uber-SubtaskRunner] ERROR org.apache.sqoop.tool.ImportTool - Merge MapReduce job failed!
70628 [uber-SubtaskRunner] INFO org.apache.sqoop.tool.ImportTool - Saving incremental import state to the metastore
70831 [uber-SubtaskRunner] INFO org.apache.sqoop.tool.ImportTool - Updated data for job: test_table
Here's a workaround that fixed it for me: http://www.yourtechchick.com/sqoop/illegal-partition-exception-sqoop-incremental-imports/
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