Adam Szita created HIVE-18030:
---------------------------------
Summary: HCatalog can't be used with Pig on Spark
Key: HIVE-18030
URL: https://issues.apache.org/jira/browse/HIVE-18030
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Adam Szita
Assignee: Adam Szita
When using Pig on Spark in cluster mode, all queries containing HCatalog access
are failing:
{code}
2017-11-03 12:39:19,268 [dispatcher-event-loop-19] INFO
org.apache.spark.storage.BlockManagerInfo - Added broadcast_6_piece0 in memory
on <<host_not_shown>>:<<port_not_shown>> (size: 83.0 KB, free: 408.5 MB)
2017-11-03 12:39:19,277 [task-result-getter-0] WARN
org.apache.spark.scheduler.TaskSetManager - Lost task 0.0 in stage 0.0 (TID 0,
vc0918.halxg.cloudera.com, executor 2): java.lang.NullPointerException
at org.apache.hadoop.security.Credentials.addAll(Credentials.java:401)
at org.apache.hadoop.security.Credentials.addAll(Credentials.java:388)
at
org.apache.hive.hcatalog.pig.HCatLoader.setLocation(HCatLoader.java:128)
at
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigInputFormat.mergeSplitSpecificConf(PigInputFormat.java:147)
at
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigInputFormat$RecordReaderFactory.<init>(PigInputFormat.java:115)
at
org.apache.pig.backend.hadoop.executionengine.spark.running.PigInputFormatSpark$SparkRecordReaderFactory.<init>(PigInputFormatSpark.java:126)
at
org.apache.pig.backend.hadoop.executionengine.spark.running.PigInputFormatSpark.createRecordReader(PigInputFormatSpark.java:70)
at
org.apache.spark.rdd.NewHadoopRDD$$anon$1.liftedTree1$1(NewHadoopRDD.scala:180)
at
org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:179)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:134)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:69)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
