Chao created HIVE-8430:
--------------------------
Summary: Enable parquet_join.q [Spark Branch]
Key: HIVE-8430
URL: https://issues.apache.org/jira/browse/HIVE-8430
Project: Hive
Issue Type: Test
Reporter: Chao
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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