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From "Artem Velykorodnyi (JIRA)" <j...@apache.org>
Subject [jira] [Created] (TEZ-3603) Hive 2.1.1 on Tez engine with Sqoop - Error while Run sqoop import as parquet files
Date Thu, 02 Feb 2017 16:25:52 GMT
Artem Velykorodnyi created TEZ-3603:
---------------------------------------

             Summary: Hive 2.1.1 on Tez engine with Sqoop - Error while Run sqoop import as
parquet files
                 Key: TEZ-3603
                 URL: https://issues.apache.org/jira/browse/TEZ-3603
             Project: Apache Tez
          Issue Type: Bug
    Affects Versions: 0.8.4
         Environment: centos 7.2
Sqoop 1.4.6
Hive 2.1.1
hadoop 2.7.0
            Reporter: Artem Velykorodnyi
            Priority: Minor


I tried to import some data to Hive as parquet through sqoop using this command:
{noformat}
sqoop import --connect jdbc:mysql://node1:3306/sqoop --username root --password 123456 --table
devidents --hive-import --hive-table galinqewra --create-hive-table -m 1 --as-parquetfile
{noformat}
in mapred-site.xml  i set mapreduce.framework.name to yarn-tez
and
in hive-site.xml  hive.execution.engine to tez

and it fails with this exception:
{noformat}
17/02/03 01:07:45 INFO client.TezClient: Submitting DAG to YARN, applicationId=application_1486051443218_0001,
dagName=codegen_devidents.jar
17/02/03 01:07:46 INFO impl.YarnClientImpl: Submitted application application_1486051443218_0001
17/02/03 01:07:46 INFO client.TezClient: The url to track the Tez AM: http://node1:8088/proxy/application_1486051443218_0001/
17/02/03 01:07:59 INFO mapreduce.Job: The url to track the job: http://node1:8088/proxy/application_1486051443218_0001/
17/02/03 01:07:59 INFO mapreduce.Job: Running job: job_1486051443218_0001
17/02/03 01:08:00 INFO mapreduce.Job: Job job_1486051443218_0001 running in uber mode : false
17/02/03 01:08:00 INFO mapreduce.Job:  map 0% reduce 0%
17/02/03 01:08:27 INFO mapreduce.Job: Job job_1486051443218_0001 failed with state FAILED
due to: Vertex failed, vertexName=initialmap, vertexId=vertex_1486051443218_0001_1_00, diagnostics=[Task
failed, taskId=task_1486051443218_0001_1_00_000000, diagnostics=[TaskAttempt 0 failed, info=[Error:
Error while running task ( failure ) : attempt_1486051443218_0001_1_00_000000_0:org.kitesdk.data.DatasetNotFoundException:
Descriptor location does not exist: hdfs:/tmp/default/.temp/job_14860514432180_0001/mr/job_14860514432180_0001/.metadata
	at org.kitesdk.data.spi.filesystem.FileSystemMetadataProvider.checkExists(FileSystemMetadataProvider.java:562)
	at org.kitesdk.data.spi.filesystem.FileSystemMetadataProvider.find(FileSystemMetadataProvider.java:605)
	at org.kitesdk.data.spi.filesystem.FileSystemMetadataProvider.load(FileSystemMetadataProvider.java:114)
	at org.kitesdk.data.spi.filesystem.FileSystemDatasetRepository.load(FileSystemDatasetRepository.java:197)
	at org.kitesdk.data.spi.AbstractDatasetRepository.load(AbstractDatasetRepository.java:40)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat.loadJobDataset(DatasetKeyOutputFormat.java:591)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat.loadOrCreateTaskAttemptDataset(DatasetKeyOutputFormat.java:602)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat.loadOrCreateTaskAttemptView(DatasetKeyOutputFormat.java:615)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat.getRecordWriter(DatasetKeyOutputFormat.java:448)
	at org.apache.tez.mapreduce.output.MROutput.initialize(MROutput.java:399)
	at org.apache.tez.runtime.LogicalIOProcessorRuntimeTask$InitializeOutputCallable._callInternal(LogicalIOProcessorRuntimeTask.java:533)
	at org.apache.tez.runtime.LogicalIOProcessorRuntimeTask$InitializeOutputCallable.callInternal(LogicalIOProcessorRuntimeTask.java:516)
	at org.apache.tez.runtime.LogicalIOProcessorRuntimeTask$InitializeOutputCallable.callInternal(LogicalIOProcessorRuntimeTask.java:501)
	at org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36)
	at java.util.concurrent.FutureTask.run(FutureTask.java:262)
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
	at java.util.concurrent.FutureTask.run(FutureTask.java:262)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)
]], Vertex did not succeed due to OWN_TASK_FAILURE, failedTasks:1 killedTasks:0, Vertex vertex_1486051443218_0001_1_00
[initialmap] killed/failed due to:OWN_TASK_FAILURE]. DAG did not succeed due to VERTEX_FAILURE.
failedVertices:1 killedVertices:0
17/02/03 01:08:27 INFO mapreduce.Job: Counters: 0
17/02/03 01:08:27 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter
instead
17/02/03 01:08:27 INFO mapreduce.ImportJobBase: Transferred 0 bytes in 63.4853 seconds (0
bytes/sec)
17/02/03 01:08:27 WARN mapreduce.Counters: Group org.apache.hadoop.mapred.Task$Counter is
deprecated. Use org.apache.hadoop.mapreduce.TaskCounter instead
17/02/03 01:08:27 INFO mapreduce.ImportJobBase: Retrieved 0 records.
17/02/03 01:08:27 ERROR tool.ImportTool: Error during import: Import job failed!
{noformat}

Hive table is created but no any data in it.

if i start job on MapReduce mode it successfully completed
also it pass if i run without '--as-parquetfile'

any suggestions?



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