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Posted to dev@hive.apache.org by "Chao (JIRA)" <ji...@apache.org> on 2014/10/29 22:44:34 UTC

[jira] [Updated] (HIVE-8430) Enable parquet_join.q [Spark Branch]

     [ https://issues.apache.org/jira/browse/HIVE-8430?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Chao updated HIVE-8430:
-----------------------
    Release Note:   (was: Fixed in another patch.)

> Enable parquet_join.q [Spark Branch]
> ------------------------------------
>
>                 Key: HIVE-8430
>                 URL: https://issues.apache.org/jira/browse/HIVE-8430
>             Project: Hive
>          Issue Type: Test
>          Components: Spark
>            Reporter: Chao
>             Fix For: spark-branch
>
>
> Currently, even with HIVE-8412, {{parquet_join.q}} will fail with the following exception:
> {noformat}
> org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.IllegalArgumentException: TaskAttemptId string : 000000_52 is not properly formed
> 	at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:274)
> 	at org.apache.hadoop.hive.ql.exec.FileSinkOperator.createBucketForFileIdx(FileSinkOperator.java:544)
> 	at org.apache.hadoop.hive.ql.exec.FileSinkOperator.createBucketFiles(FileSinkOperator.java:488)
> 	at org.apache.hadoop.hive.ql.exec.FileSinkOperator.processOp(FileSinkOperator.java:597)
> 	at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:799)
> 	at org.apache.hadoop.hive.ql.exec.SelectOperator.processOp(SelectOperator.java:84)
> 	at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:799)
> 	at org.apache.hadoop.hive.ql.exec.TableScanOperator.processOp(TableScanOperator.java:95)
> 	at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:799)
> 	at org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:536)
> 	at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:139)
> 	at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:47)
> 	at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:28)
> 	at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.hasNext(HiveBaseFunctionResultList.java:108)
> 	at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:41)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> 	at org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:763)
> 	at org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:763)
> 	at org.apache.spark.SparkContext$$anonfun$runJob$3.apply(SparkContext.scala:1138)
> 	at org.apache.spark.SparkContext$$anonfun$runJob$3.apply(SparkContext.scala:1138)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:56)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
> 	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)
> Caused by: java.lang.IllegalArgumentException: TaskAttemptId string : 000000_52 is not properly formed
> 	at org.apache.hadoop.mapreduce.TaskAttemptID.forName(TaskAttemptID.java:201)
> 	at org.apache.hadoop.hive.ql.io.parquet.write.ParquetRecordWriterWrapper.<init>(ParquetRecordWriterWrapper.java:49)
> 	at org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat.getParquerRecordWriterWrapper(MapredParquetOutputFormat.java:122)
> 	at org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat.getHiveRecordWriter(MapredParquetOutputFormat.java:113)
> 	at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getRecordWriter(HiveFileFormatUtils.java:284)
> 	at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:271)
> 	... 26 more
> {noformat}
> We need to investigate this.



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