Phani Kondapalli created HADOOP-15634:
-----------------------------------------

             Summary: LocalDirAllocator using up local nonDFS when set to S3
                 Key: HADOOP-15634
                 URL: https://issues.apache.org/jira/browse/HADOOP-15634
             Project: Hadoop Common
          Issue Type: Bug
          Components: fs/s3
    Affects Versions: 2.8.3
         Environment: EMR-5.15, Hadoop-2.8.3, Hive-2.3.3, Tez-0.8.4, Beeline. 

Target table is defined for ACID transactions with location on S3. 

Insert source table is on S3. 
            Reporter: Phani Kondapalli


Manually modified the yarn-site.xml from within the EMR, set the param 
yarn.nodemanager.local-dirs to point to s3, reloaded the services on Master and 
Core nodes. Disk seemed to stay intact but hdfs dfsadmin -report showed nonDFS 
usage and then finally it failed with below error.

Error: org.apache.hive.service.cli.HiveSQLException: Error while processing 
statement: FAILED: Execution Error, return code 2 from 
org.apache.hadoop.hive.ql.exec.tez.TezTask. Vertex failed, vertexName=Map 1, 
vertexId=vertex_1532581073633_0001_2_00, diagnostics=[Task failed, 
taskId=task_1532581073633_0001_2_00_000898, diagnostics=[TaskAttempt 0 failed, 
info=[Error: Error while running task ( failure ) : 
attempt_1532581073633_0001_2_00_000898_0:org.apache.hadoop.util.DiskChecker$DiskErrorException:
 Could not find any valid local directory for 
output/attempt_1532581073633_0001_2_00_000898_0_10013_1/file.out
 at 
org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathForWrite(LocalDirAllocator.java:441)
 at 
org.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java:151)
 at 
org.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java:132)
 at 
org.apache.tez.runtime.library.common.task.local.output.TezTaskOutputFiles.getSpillFileForWrite(TezTaskOutputFiles.java:207)
 at 
org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.spill(PipelinedSorter.java:545)

...



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