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https://issues.apache.org/jira/browse/HUDI-6846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Danny Chen closed HUDI-6846.
----------------------------
Fix Version/s: 1.0.0
Resolution: Fixed
Fixed via master branch: 5d0502567e7e9f2ef5cf062cf7d1db80ad3057f8
> fix a bug of consistent bucket index clustering
> -----------------------------------------------
>
> Key: HUDI-6846
> URL: https://issues.apache.org/jira/browse/HUDI-6846
> Project: Apache Hudi
> Issue Type: Bug
> Reporter: HBG
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.0.0
>
>
> *Error Stack*
> {code:xml}
> 23/09/07 15:43:05 INFO [shutdown-hook-0] ApplicationMaster: Unregistering
> ApplicationMaster with FAILED (diag message: User class threw exception:
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 10 in
> stage 2.0 failed 4 times, most recent failure: Lost task 10.3 in stage 2.0
> (TID 1013) (executor 42): java.lang.IllegalArgumentException: At least two
> file groups should be provided for merging
> at
> org.apache.hudi.common.util.ValidationUtils.checkArgument(ValidationUtils.java:40)
> at
> org.apache.hudi.index.bucket.ConsistentBucketIdentifier.mergeBucket(ConsistentBucketIdentifier.java:115)
> at
> org.apache.hudi.client.clustering.plan.strategy.SparkConsistentBucketClusteringPlanStrategy.buildMergeClusteringGroup(SparkConsistentBucketClusteringPlanStrategy.java:279)
> at
> org.apache.hudi.client.clustering.plan.strategy.SparkConsistentBucketClusteringPlanStrategy.buildClusteringGroupsForPartition(SparkConsistentBucketClusteringPlanStrategy.java:142)
> at
> org.apache.hudi.table.action.cluster.strategy.PartitionAwareClusteringPlanStrategy.lambda$generateClusteringPlan$4e6aac78$1(PartitionAwareClusteringPlanStrategy.java:95)
> at
> org.apache.hudi.client.common.HoodieSparkEngineContext.lambda$flatMap$7d470b86$1(HoodieSparkEngineContext.java:144)
> at
> org.apache.spark.api.java.JavaRDDLike.$anonfun$flatMap$1(JavaRDDLike.scala:125)
> at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490)
> at scala.collection.Iterator.foreach(Iterator.scala:941)
> at scala.collection.Iterator.foreach$(Iterator.scala:941)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
> at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
> at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
> at scala.collection.TraversableOnce.to(TraversableOnce.scala:315)
> at scala.collection.TraversableOnce.to$(TraversableOnce.scala:313)
> at scala.collection.AbstractIterator.to(Iterator.scala:1429)
> at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:307)
> at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:307)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1429)
> at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:294)
> at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:288)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1429)
> at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1030)
> at
> org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2255)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:131)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1509)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> {code}
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