[GitHub] [hudi] codejoyan commented on issue #3499: [SUPPORT] Inline Clustering fails with Hudi

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codejoyan commented on issue #3499:
URL: https://github.com/apache/hudi/issues/3499#issuecomment-903920701


   Hi @zhangyue19921010 I tried with 0.8.0 and ran into exact same issue. Looks like this is a bug. I will try to dig deep.
   Please let me know if there is any workaround as I want to test the ingestion performance and read performance with clustering on.
   
   Caused by: java.lang.IllegalArgumentException: requirement failed: Number of partitions cannot be negative but found -5.
   	at scala.Predef$.require(Predef.scala:224)
   	at org.apache.spark.RangePartitioner.<init>(Partitioner.scala:155)
   	at org.apache.spark.RangePartitioner.<init>(Partitioner.scala:151)
   	at org.apache.spark.rdd.OrderedRDDFunctions$$anonfun$sortByKey$1.apply(OrderedRDDFunctions.scala:62)
   	at org.apache.spark.rdd.OrderedRDDFunctions$$anonfun$sortByKey$1.apply(OrderedRDDFunctions.scala:61)
   	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
   	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
   	at org.apache.spark.rdd.RDD.withScope(RDD.scala:385)
   	at org.apache.spark.rdd.OrderedRDDFunctions.sortByKey(OrderedRDDFunctions.scala:61)
   	at org.apache.spark.rdd.RDD$$anonfun$sortBy$1.apply(RDD.scala:645)
   	at org.apache.spark.rdd.RDD$$anonfun$sortBy$1.apply(RDD.scala:646)
   	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
   	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
   	at org.apache.spark.rdd.RDD.withScope(RDD.scala:385)
   	at org.apache.spark.rdd.RDD.sortBy(RDD.scala:643)
   	at org.apache.spark.api.java.JavaRDD.sortBy(JavaRDD.scala:206)
   	at org.apache.hudi.execution.bulkinsert.GlobalSortPartitioner.repartitionRecords(GlobalSortPartitioner.java:41)
   	at org.apache.hudi.execution.bulkinsert.GlobalSortPartitioner.repartitionRecords(GlobalSortPartitioner.java:34)
   	at org.apache.hudi.table.action.commit.SparkBulkInsertHelper.bulkInsert(SparkBulkInsertHelper.java:103)
   	at org.apache.hudi.client.clustering.run.strategy.SparkSortAndSizeExecutionStrategy.performClustering(SparkSortAndSizeExecutionStrategy.java:74)
   	at org.apache.hudi.client.clustering.run.strategy.SparkSortAndSizeExecutionStrategy.performClustering(SparkSortAndSizeExecutionStrategy.java:50)
   	at org.apache.hudi.table.action.cluster.SparkExecuteClusteringCommitActionExecutor.lambda$runClusteringForGroupAsync$3(SparkExecuteClusteringCommitActionExecutor.java:121)
   	at java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604)
   	at java.util.concurrent.CompletableFuture$AsyncSupply.exec(CompletableFuture.java:1596)
   	at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
   	at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
   	at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)


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