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()

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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 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$1.apply(ExternalSorter.scala:212)
at org.apache.spark.util.collection.ExternalSorter.spillToPartitionFiles(ExternalSorter.scala:366)
at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:211)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)

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