haripriyarhp opened a new issue, #8153: URL: https://github.com/apache/hudi/issues/8153
**_Tips before filing an issue_** - Have you gone through our [FAQs](https://hudi.apache.org/learn/faq/)? - Join the mailing list to engage in conversations and get faster support at dev-subscr...@hudi.apache.org. - If you have triaged this as a bug, then file an [issue](https://issues.apache.org/jira/projects/HUDI/issues) directly. **Describe the problem you faced** I am having a spark structured streaming job reading from kafka and writing to S3 as hudi table. Based on the below link https://hudi.apache.org/docs/clustering/#spark-structured-streaming , I set up asynchronus clustering in my spark job. I have an MoR table and async clustering produces the below error. I checked the same by creating a CoW table. And async clustering works fine. **To Reproduce** Steps to reproduce the behavior: 1. 2. 3. 4. **Expected behavior** I expected async clustering is also successful for MoR table. **Environment Description** * Hudi version : 0.13.0 * Spark version : 3.1.2 * Hive version : * Hadoop version : * Storage (HDFS/S3/GCS..) : S3 * Running on Docker? (yes/no) : no **Additional context** Map[String,String]( "hoodie.table.name" -> tableName, "path" -> "s3a://path to table/tableName, "hoodie.datasource.write.table.name" -> tableName, "hoodie.datasource.write.table.type" -> MERGE_ON_READ, "hoodie.datasource.write.operation" -> "upsert", "hoodie.datasource.write.recordkey.field" -> "col4,col5,col6,col7", "hoodie.datasource.write.partitionpath.field" -> "col1,col2,col3", "hoodie.datasource.write.keygenerator.class" -> "org.apache.hudi.keygen.ComplexKeyGenerator", "hoodie.datasource.write.hive_style_partitioning" -> "true", //Cleaning options "hoodie.clean.automatic" -> "true", "hoodie.clean.async" -> "true", //hive_sync_options "hoodie.datasource.hive_sync.partition_fields" -> "col1,col2,col3", "hoodie.datasource.hive_sync.database" -> dbName, "hoodie.datasource.hive_sync.table" -> tableName, "hoodie.datasource.hive_sync.enable" -> "true", "hoodie.datasource.hive_sync.mode" -> "hms", "hoodie.datasource.hive_sync.partition_extractor_class" -> "org.apache.hudi.hive.MultiPartKeysValueExtractor", //Clustering options "hoodie.write.lock.provider" -> "org.apache.hudi.aws.transaction.lock.DynamoDBBasedLockProvider", "hoodie.write.lock.dynamodb.table" -> "hudi_occ", "hoodie.clustering.plan.strategy.target.file.max.bytes" -> "52428800", "hoodie.clustering.async.enabled" -> "true", "hoodie.clustering.async.max.commits" -> "4", "hoodie.clustering.execution.strategy.class" -> "org.apache.hudi.client.clustering.run.strategy.SparkSortAndSizeExecutionStrategy", "hoodie.upsert.shuffle.parallelism" -> "200", "hoodie.insert.shuffle.parallelism" -> "200", "hoodie.datasource.compaction.async.enable" -> "false", "hoodie.compact.inline.max.delta.commits" -> "5", "hoodie.index.type" -> "BLOOM" ) **Stacktrace** 23/03/08 16:43:15 INFO AbstractTableFileSystemView: addFilesToView: NumFiles=1, NumFileGroups=1, FileGroupsCreationTime=0, StoreTimeTaken=0 23/03/08 16:43:15 INFO ClusteringUtils: Found 30 files in pending clustering operations 23/03/08 16:43:15 INFO AbstractTableFileSystemView: addFilesToView: NumFiles=1, NumFileGroups=1, FileGroupsCreationTime=0, StoreTimeTaken=0 23/03/08 16:43:15 ERROR AsyncClusteringService: Clustering executor failed java.util.concurrent.CompletionException: java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.PartitionedFile.<init>(Lorg/apache/spark/sql/catalyst/InternalRow;Ljava/lang/String;JJ[Ljava/lang/String;)V at java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:273) at java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:280) at java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1606) at java.util.concurrent.CompletableFuture$AsyncSupply.exec(CompletableFuture.java:1596) at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289) at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056) at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692) at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175) Caused by: java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.PartitionedFile.<init>(Lorg/apache/spark/sql/catalyst/InternalRow;Ljava/lang/String;JJ[Ljava/lang/String;)V at org.apache.hudi.BaseMergeOnReadSnapshotRelation.$anonfun$buildSplits$2(MergeOnReadSnapshotRelation.scala:238) at scala.Option.map(Option.scala:230) at org.apache.hudi.BaseMergeOnReadSnapshotRelation.$anonfun$buildSplits$1(MergeOnReadSnapshotRelation.scala:236) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at scala.collection.TraversableLike.map(TraversableLike.scala:238) at scala.collection.TraversableLike.map$(TraversableLike.scala:231) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at org.apache.hudi.BaseMergeOnReadSnapshotRelation.buildSplits(MergeOnReadSnapshotRelation.scala:232) at org.apache.hudi.BaseMergeOnReadSnapshotRelation.collectFileSplits(MergeOnReadSnapshotRelation.scala:227) at org.apache.hudi.BaseMergeOnReadSnapshotRelation.collectFileSplits(MergeOnReadSnapshotRelation.scala:64) at org.apache.hudi.HoodieBaseRelation.buildScan(HoodieBaseRelation.scala:346) at org.apache.spark.sql.execution.datasources.DataSourceStrategy$.$anonfun$apply$4(DataSourceStrategy.scala:351) at org.apache.spark.sql.execution.datasources.DataSourceStrategy$.$anonfun$pruneFilterProject$1(DataSourceStrategy.scala:384) at org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFilterProjectRaw(DataSourceStrategy.scala:439) at org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFilterProject(DataSourceStrategy.scala:383) at org.apache.spark.sql.execution.datasources.DataSourceStrategy$.apply(DataSourceStrategy.scala:351) at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$1(QueryPlanner.scala:63) at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490) at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$1(QueryPlanner.scala:63) at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:489) at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93) at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69) at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78) at scala.collection.TraversableOnce.$anonfun$foldLeft$1(TraversableOnce.scala:162) at scala.collection.TraversableOnce.$anonfun$foldLeft$1$adapted(TraversableOnce.scala:162) at scala.collection.Iterator.foreach(Iterator.scala:941) at scala.collection.Iterator.foreach$(Iterator.scala:941) at scala.collection.AbstractIterator.foreach(Iterator.scala:1429) at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:162) at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:160) at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1429) at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75) at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490) at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93) at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69) at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78) at scala.collection.TraversableOnce.$anonfun$foldLeft$1(TraversableOnce.scala:162) at scala.collection.TraversableOnce.$anonfun$foldLeft$1$adapted(TraversableOnce.scala:162) at scala.collection.Iterator.foreach(Iterator.scala:941) at scala.collection.Iterator.foreach$(Iterator.scala:941) at scala.collection.AbstractIterator.foreach(Iterator.scala:1429) at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:162) at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:160) at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1429) at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75) at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490) at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93) at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69) at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78) at scala.collection.TraversableOnce.$anonfun$foldLeft$1(TraversableOnce.scala:162) at scala.collection.TraversableOnce.$anonfun$foldLeft$1$adapted(TraversableOnce.scala:162) at scala.collection.Iterator.foreach(Iterator.scala:941) at scala.collection.Iterator.foreach$(Iterator.scala:941) at scala.collection.AbstractIterator.foreach(Iterator.scala:1429) at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:162) at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:160) at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1429) at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75) at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490) at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93) at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69) at org.apache.spark.sql.execution.QueryExecution$.createSparkPlan(QueryExecution.scala:431) at org.apache.spark.sql.execution.QueryExecution.$anonfun$sparkPlan$1(QueryExecution.scala:104) at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:192) at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:163) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:163) at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:104) at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:97) at org.apache.spark.sql.execution.QueryExecution.$anonfun$executedPlan$1(QueryExecution.scala:117) at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:192) at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:163) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:163) at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:114) at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:110) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:134) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:133) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.bulkInsert(HoodieDatasetBulkInsertHelper.scala:142) at org.apache.hudi.HoodieDatasetBulkInsertHelper.bulkInsert(HoodieDatasetBulkInsertHelper.scala) at org.apache.hudi.client.clustering.run.strategy.SparkSortAndSizeExecutionStrategy.performClusteringWithRecordsAsRow(SparkSortAndSizeExecutionStrategy.java:72) at org.apache.hudi.client.clustering.run.strategy.MultipleSparkJobExecutionStrategy.lambda$runClusteringForGroupAsyncAsRow$6(MultipleSparkJobExecutionStrategy.java:249) at java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1604) ... 5 more 23/03/08 16:43:15 INFO HoodieStreamingSink: Async clustering service shutdown. 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