[
https://issues.apache.org/jira/browse/HIVE-16958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16064070#comment-16064070
]
liyunzhang_intel commented on HIVE-16958:
-----------------------------------------
[~lirui]: this also happened in MR.
> Setting hive.merge.sparkfiles=true will retrun an error when generating
> parquet databases
> ------------------------------------------------------------------------------------------
>
> Key: HIVE-16958
> URL: https://issues.apache.org/jira/browse/HIVE-16958
> Project: Hive
> Issue Type: Bug
> Affects Versions: 2.2.0, 2.3.0
> Environment: centos7 hadoop2.7.3 spark2.0.0
> Reporter: Liu Chunxiao
> Priority: Minor
> Attachments: parquet-hivemergesparkfiles.txt, sale.sql
>
>
> The process will return
> Job failed with java.lang.NullPointerException
> FAILED: Execution Error, return code 3 from
> org.apache.hadoop.hive.ql.exec.spark.SparkTask.
> java.util.concurrent.ExecutionException: Exception thrown by job
> at
> org.apache.spark.JavaFutureActionWrapper.getImpl(FutureAction.scala:272)
> at org.apache.spark.JavaFutureActionWrapper.get(FutureAction.scala:277)
> at
> org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:362)
> at
> org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:323)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 1 in stage 1.0 failed 4 times, most recent failure: Lost task 1.3 in
> stage 1.0 (TID 31, bdpe822n1): java.io.IOException:
> java.lang.reflect.InvocationTargetException
> at
> org.apache.hadoop.hive.io.HiveIOExceptionHandlerChain.handleRecordReaderCreationException(HiveIOExceptionHandlerChain.java:97)
> at
> org.apache.hadoop.hive.io.HiveIOExceptionHandlerUtil.handleRecordReaderCreationException(HiveIOExceptionHandlerUtil.java:57)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.initNextRecordReader(HadoopShimsSecure.java:271)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.<init>(HadoopShimsSecure.java:217)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileInputFormatShim.getRecordReader(HadoopShimsSecure.java:345)
> at
> org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getRecordReader(CombineHiveInputFormat.java:695)
> at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:246)
> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:209)
> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:102)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.reflect.InvocationTargetException
> at sun.reflect.GeneratedConstructorAccessor26.newInstance(Unknown
> Source)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.initNextRecordReader(HadoopShimsSecure.java:257)
> ... 17 more
> Caused by: java.lang.NullPointerException
> at java.util.AbstractCollection.addAll(AbstractCollection.java:343)
> at
> org.apache.hadoop.hive.ql.io.parquet.ProjectionPusher.pushProjectionsAndFilters(ProjectionPusher.java:118)
> at
> org.apache.hadoop.hive.ql.io.parquet.ProjectionPusher.pushProjectionsAndFilters(ProjectionPusher.java:189)
> at
> org.apache.hadoop.hive.ql.io.parquet.ParquetRecordReaderBase.getSplit(ParquetRecordReaderBase.java:84)
> at
> org.apache.hadoop.hive.ql.io.parquet.read.ParquetRecordReaderWrapper.<init>(ParquetRecordReaderWrapper.java:74)
> at
> org.apache.hadoop.hive.ql.io.parquet.read.ParquetRecordReaderWrapper.<init>(ParquetRecordReaderWrapper.java:59)
> at
> org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat.getRecordReader(MapredParquetInputFormat.java:75)
> at
> org.apache.hadoop.hive.ql.io.CombineHiveRecordReader.<init>(CombineHiveRecordReader.java:99)
> ... 21 more
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
> at scala.Option.foreach(Option.scala:257)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> Caused by: java.io.IOException: java.lang.reflect.InvocationTargetException
> at
> org.apache.hadoop.hive.io.HiveIOExceptionHandlerChain.handleRecordReaderCreationException(HiveIOExceptionHandlerChain.java:97)
> at
> org.apache.hadoop.hive.io.HiveIOExceptionHandlerUtil.handleRecordReaderCreationException(HiveIOExceptionHandlerUtil.java:57)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.initNextRecordReader(HadoopShimsSecure.java:271)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.<init>(HadoopShimsSecure.java:217)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileInputFormatShim.getRecordReader(HadoopShimsSecure.java:345)
> at
> org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getRecordReader(CombineHiveInputFormat.java:695)
> at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:246)
> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:209)
> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:102)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.reflect.InvocationTargetException
> at sun.reflect.GeneratedConstructorAccessor26.newInstance(Unknown
> Source)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.initNextRecordReader(HadoopShimsSecure.java:257)
> ... 17 more
> Caused by: java.lang.NullPointerException
> at java.util.AbstractCollection.addAll(AbstractCollection.java:343)
> at
> org.apache.hadoop.hive.ql.io.parquet.ProjectionPusher.pushProjectionsAndFilters(ProjectionPusher.java:118)
> at
> org.apache.hadoop.hive.ql.io.parquet.ProjectionPusher.pushProjectionsAndFilters(ProjectionPusher.java:189)
> at
> org.apache.hadoop.hive.ql.io.parquet.ParquetRecordReaderBase.getSplit(ParquetRecordReaderBase.java:84)
> at
> org.apache.hadoop.hive.ql.io.parquet.read.ParquetRecordReaderWrapper.<init>(ParquetRecordReaderWrapper.java:74)
> at
> org.apache.hadoop.hive.ql.io.parquet.read.ParquetRecordReaderWrapper.<init>(ParquetRecordReaderWrapper.java:59)
> at
> org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat.getRecordReader(MapredParquetInputFormat.java:75)
> at
> org.apache.hadoop.hive.ql.io.CombineHiveRecordReader.<init>(CombineHiveRecordReader.java:99)
> ... 21 more
> when generating data for a database stored as parquet by setting
> hive.merge.sparkfiles=true. The detailed log and error messages can be seen
> at attach files.
> The enviroment I use was hadoop2.7.3 hive release-2.3.0-rc0 spark2.0.0.
> SQL file is showed below:
> CREATE DATABASE IF NOT EXISTS sale;
> use sale;
> CREATE EXTERNAL TABLE IF NOT EXISTS sale_record_temporary
> ( record_id DECIMAL(23,0)
> , product_name STRING
> , amount DECIMAL(6,0)
> , prize DECIMAL(11,0)
> , customer_name STRING
> , doc_date TIMESTAMP
> , due_date TIMESTAMP
> )
> ROW FORMAT DELIMITED FIELDS TERMINATED BY '|'
> STORED AS TEXTFILE LOCATION
> '/user/hive/warehouse/sale.db/sale_record_temporary'
> ;
> DROP TABLE IF EXISTS sale_record;
> CREATE TABLE sale_record
> ( record_id DECIMAL(23,0), product_name STRING, amount DECIMAL(6,0), prize
> DECIMAL(11,0), customer_name STRING, due_date TIMESTAMP) partitioned by
> (doc_date TIMESTAMP)
> STORED AS parquet;
> insert overwrite table sale_record PARTITION(doc_date) select
> record_id,product_name,amount,prize,customer_name,due_date,doc_date from
> sale_record_temporary;
> External data has aleady been put in hdfs path:
> '/user/hive/warehouse/sale.db/sale_record_temporary'
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
