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koert kuipers commented on SPARK-18651: --------------------------------------- i cannot reproduce the error in master. it seems to work there. so i am going to close this. > KeyValueGroupedDataset[K, V].reduceGroups cannot handle primitive for V > ----------------------------------------------------------------------- > > Key: SPARK-18651 > URL: https://issues.apache.org/jira/browse/SPARK-18651 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.2 > Reporter: koert kuipers > > run: > {noformat} > val df = Seq(1, 2, 3) > .toDS > .groupByKey(x => x) > .reduceGroups(_ + _) > df.show > {noformat} > result: > {noformat} > org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in > stage 143.0 failed 1 times, most recent failure: Lost task 2.0 in stage 143.0 > (TID 514, localhost): java.lang.NullPointerException > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown > Source) > at > org.apache.spark.sql.execution.aggregate.HashAggregateExec.createHashMap(HashAggregateExec.scala:296) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown > Source) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at > org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47) > at org.apache.spark.scheduler.Task.run(Task.scala:86) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > 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) > {noformat} > the issue is the null in ReduceAggregator.zero > for a primitive type this null leads to the NPE. instead for primitive types > we should do a dummy/default value (0 for int, false for boolean, etc.) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org