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via DataStax JIRA by Jacek Lewandowski, 1 year ago
Job aborted due to stage failure: Task 0 in stage 37.0 failed 1 times, most recent failure: Lost task 0.0 in stage 37.0 (TID 223, localhost): java.lang.IllegalArgumentException: ReplicaPartitioner can only determine the partition of a tuple whose key is a non-empty Set[InetAddress]. Invalid key: Set()
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 37.0 failed 1 times, most recent failure: Lost task 0.0 in stage 37.0 (TID 223, localhost): java.lang.IllegalArgumentException: ReplicaPartitioner can only determine the partition of a tuple whose key is a non-empty Set[InetAddress]. Invalid key: Set() at com.datastax.spark.connector.rdd.partitioner.ReplicaPartitioner.getPartition(ReplicaPartitioner.scala:44) at org.apache.spark.util.collection.ExternalSorter.org$apache$spark$util$collection$ExternalSorter$$getPartition(ExternalSorter.scala:113) at org.apache.spark.util.collection.ExternalSorter$$anonfun$insertAll$1.apply(ExternalSorter.scala:212) at org.apache.spark.util.collection.ExternalSorter$$anonfun$insertAll$1.apply(ExternalSorter.scala:211) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at org.apache.spark.util.collection.ExternalSorter.spillToPartitionFiles(ExternalSorter.scala:366) at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:211) at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:56) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200) 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)