koert kuipers created SPARK-18651: ------------------------------------- Summary: 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