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)