ZeyuQiu-Rinze opened a new issue, #7520: URL: https://github.com/apache/hudi/issues/7520
I'm trying Hudi with a simple demo, just read some parquet files and then write to a new directory, but Hudi stuck in the "Getting small files from partitions" stage for a very long time (more than 2 hours) and then failed. <img width="1418" alt="image" src="https://user-images.githubusercontent.com/99316147/208644475-a178523b-3052-4343-8696-3ba6445e298a.png";> <img width="1437" alt="image" src="https://user-images.githubusercontent.com/99316147/208644585-a669695b-6b7a-4910-b2ea-ccbe664e2f1c.png";> My code was like: ``` df = spark.read.parquet( 's3://my_bucket/flink_test/users_activity/') hudi_options = { 'hoodie.table.name': 'users_activity', 'hoodie.datasource.write.recordkey.field': 'users_activity_id', 'hoodie.datasource.write.partitionpath.field': 'users_activity_create_date', 'hoodie.datasource.write.table.name': 'users_activity_result', 'hoodie.datasource.write.operation': 'insert', 'hoodie.datasource.write.precombine.field': 'users_activity_update_date', } (df.write.format('org.apache.hudi').options(**hudi_options).mode('overwrite') .save('s3://my_bucket/flink_test/hudi_test_result/users_activity/')) ``` **Environment Description** EMR Version: emr-6.8.0 Hudi version : 0.11.1 Spark version : Spark 3.3.0 Hive version : Hive 3.1.3 Storage (HDFS/S3/GCS..) : S3 Running on Docker? (yes/no) : No **Stacktrace** ``` Traceback (most recent call last): File "spark_hudi.py", line 37, in <module> process() File "spark_hudi.py", line 27, in process .save('s3://htm-hawk-data-lake-test/flink_test/copy/users_activity/')) File "/mnt/yarn/usercache/hadoop/appcache/application_1671439304688_0001/container_1671439304688_0001_01_000001/pyspark.zip/pyspark/sql/readwriter.py", line 968, in save File "/mnt/yarn/usercache/hadoop/appcache/application_1671439304688_0001/container_1671439304688_0001_01_000001/py4j-0.10.9.5-src.zip/py4j/java_gateway.py", line 1322, in __call__ File "/mnt/yarn/usercache/hadoop/appcache/application_1671439304688_0001/container_1671439304688_0001_01_000001/pyspark.zip/pyspark/sql/utils.py", line 190, in deco File "/mnt/yarn/usercache/hadoop/appcache/application_1671439304688_0001/container_1671439304688_0001_01_000001/py4j-0.10.9.5-src.zip/py4j/protocol.py", line 328, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o89.save. : org.apache.hudi.exception.HoodieUpsertException: Failed to upsert for commit time 20221219084414984 at org.apache.hudi.table.action.commit.BaseWriteHelper.write(BaseWriteHelper.java:64) at org.apache.hudi.table.action.commit.SparkUpsertCommitActionExecutor.execute(SparkUpsertCommitActionExecutor.java:45) at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.upsert(HoodieSparkCopyOnWriteTable.java:113) at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.upsert(HoodieSparkCopyOnWriteTable.java:97) at org.apache.hudi.client.SparkRDDWriteClient.upsert(SparkRDDWriteClient.java:155) at org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:213) at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:307) at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:173) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73) at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:103) at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:224) at org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:114) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$7(SQLExecution.scala:139) at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:224) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:139) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:245) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:138) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:100) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:96) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:615) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:177) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:615) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:591) at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:96) at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:83) at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:81) at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:124) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:860) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:390) at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:363) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182) at py4j.ClientServerConnection.run(ClientServerConnection.java:106) at java.lang.Thread.run(Thread.java:750) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Total size of serialized results of 1409413 tasks (1024.0 MiB) is bigger than spark.driver.maxResultSize (1024.0 MiB) at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2863) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2799) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2798) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2798) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1239) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1239) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1239) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3051) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2993) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2982) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:1009) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2229) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2250) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2269) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2294) at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1021) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:406) at org.apache.spark.rdd.RDD.collect(RDD.scala:1020) at org.apache.spark.api.java.JavaRDDLike.collect(JavaRDDLike.scala:362) at org.apache.spark.api.java.JavaRDDLike.collect$(JavaRDDLike.scala:361) at org.apache.spark.api.java.AbstractJavaRDDLike.collect(JavaRDDLike.scala:45) at org.apache.hudi.client.common.HoodieSparkEngineContext.flatMap(HoodieSparkEngineContext.java:137) at org.apache.hudi.index.HoodieIndexUtils.getLatestBaseFilesForAllPartitions(HoodieIndexUtils.java:87) at org.apache.hudi.index.bloom.HoodieBloomIndex.loadColumnRangesFromFiles(HoodieBloomIndex.java:166) at org.apache.hudi.index.bloom.HoodieBloomIndex.getBloomIndexFileInfoForPartitions(HoodieBloomIndex.java:151) at org.apache.hudi.index.bloom.HoodieBloomIndex.lookupIndex(HoodieBloomIndex.java:125) at org.apache.hudi.index.bloom.HoodieBloomIndex.tagLocation(HoodieBloomIndex.java:91) at org.apache.hudi.table.action.commit.HoodieWriteHelper.tag(HoodieWriteHelper.java:49) at org.apache.hudi.table.action.commit.HoodieWriteHelper.tag(HoodieWriteHelper.java:32) at org.apache.hudi.table.action.commit.BaseWriteHelper.write(BaseWriteHelper.java:53) ... 54 more ``` -- This is an automated message from the Apache Git Service. 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