zyl891229 opened a new issue, #9991: URL: https://github.com/apache/hudi/issues/9991
**_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 [email protected]. - 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** Can not extract Partition Path with conf populateMetaFields set false and dropPartitionColumns set true **To Reproduce** Steps to reproduce the behavior: 1. write hudi table using spark dataframe val structType = StructType(Array( StructField("name", StringType, nullable = true), StructField("age", IntegerType, nullable = true), StructField("city", StringType, nullable = true), StructField("map", MapType(StringType, StringType), nullable = true) )) hudi conf as follows： .option(DataSourceWriteOptions.TABLE_TYPE.key(), COW_TABLE_TYPE_OPT_VAL) .options(getQuickstartWriteConfigs) .option(PRECOMBINE_FIELD_OPT_KEY, "name") .option(RECORDKEY_FIELD_OPT_KEY, "name") .option(PARTITIONPATH_FIELD_OPT_KEY, "city,age") .option(HoodieWriteConfig.TBL_NAME.key(), tableName) .option(DataSourceWriteOptions.OPERATION.key(), DataSourceWriteOptions.BULK_INSERT_OPERATION_OPT_VAL) .option("hoodie.bulkinsert.overwrite.operation.type","insert_overwrite") .option(DataSourceWriteOptions.HIVE_STYLE_PARTITIONING.key(), "true") .option(HoodieTableConfig.POPULATE_META_FIELDS.key(), "false") .option("hoodie.datasource.write.drop.partition.columns", "true") .option(HoodieMetadataConfig.ENABLE.key(), "true") .option("hoodie.metadata.index.column.stats.enable", "true") .option("hoodie.metadata.index.column.stats.file.group.count", "8") .option("hoodie.metadata.index.column.stats.parallelism", "10") .option("hoodie.enable.data.skipping", "true") .option(HoodieCleanConfig.CLEANER_POLICY.key(), HoodieCleaningPolicy.KEEP_LATEST_FILE_VERSIONS.name()) .option(HoodieCleanConfig.CLEANER_FILE_VERSIONS_RETAINED.key(), "1") .mode(SaveMode.Append) **Expected behavior** Able to parse partitions correctly **Environment Description** * Hudi version : * 0.14.0 * Spark version : * 3.1.1 * Hive version : * Hadoop version : * Storage (HDFS/S3/GCS..) : * Local * Running on Docker? (yes/no) : * no **Additional context** According to the org.apache.hudi.table.action.commit.BulkInsertDataInternalWriterHelper#extractPartitionPath when populateMetaFields is set to false , the partition fields are extracted from the Spark InternalRow ， but according to org.apache.hudi.HoodieDatasetBulkInsertHelper#dropPartitionColumns when dropPartitionColumns set true ，PartitionColumns will be droped from InternalRow ， Due to the above two Settings, the following exceptions may occur. **Stacktrace** [INFO ] 2023-11-06 15:07:32,445 --> [dag-scheduler-event-loop] DAGScheduler.logInfo(Logging.scala:57): ResultStage 5 (collect at HoodieDatasetBulkInsertHelper.scala:154) failed in 508.376 s due to Job aborted due to stage failure: Task 0 in stage 5.0 failed 1 times, most recent failure: Lost task 0.0 in stage 5.0 (TID 5) (30.24.66.252 executor driver): org.apache.hudi.exception.HoodieException: Failed to resolve nested partition field at org.apache.hudi.keygen.BuiltinKeyGenerator$SparkRowAccessor.getRecordPartitionPathValues(BuiltinKeyGenerator.java:458) at org.apache.hudi.keygen.ComplexKeyGenerator.getPartitionPath(ComplexKeyGenerator.java:83) at org.apache.hudi.table.action.commit.BulkInsertDataInternalWriterHelper.extractPartitionPath(BulkInsertDataInternalWriterHelper.java:159) at org.apache.hudi.table.action.commit.BulkInsertDataInternalWriterHelper.write(BulkInsertDataInternalWriterHelper.java:119) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$2(HoodieDatasetBulkInsertHelper.scala:189) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$2$adapted(HoodieDatasetBulkInsertHelper.scala:189) at scala.collection.Iterator.foreach(Iterator.scala:941) at scala.collection.Iterator.foreach$(Iterator.scala:941) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.foreach(WholeStageCodegenExec.scala:753) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$1(HoodieDatasetBulkInsertHelper.scala:189) at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:863) at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:863) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at org.apache.spark.rdd.RDD.iterator(RDD.scala:337) 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:1439) 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) Driver stacktrace: [INFO ] 2023-11-06 15:07:32,445 --> [main] DAGScheduler.logInfo(Logging.scala:57): Job 6 failed: collect at HoodieDatasetBulkInsertHelper.scala:154, took 508.366191 s Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 5.0 failed 1 times, most recent failure: Lost task 0.0 in stage 5.0 (TID 5) (30.24.66.252 executor driver): org.apache.hudi.exception.HoodieException: Failed to resolve nested partition field at org.apache.hudi.keygen.BuiltinKeyGenerator$SparkRowAccessor.getRecordPartitionPathValues(BuiltinKeyGenerator.java:458) at org.apache.hudi.keygen.ComplexKeyGenerator.getPartitionPath(ComplexKeyGenerator.java:83) at org.apache.hudi.table.action.commit.BulkInsertDataInternalWriterHelper.extractPartitionPath(BulkInsertDataInternalWriterHelper.java:159) at org.apache.hudi.table.action.commit.BulkInsertDataInternalWriterHelper.write(BulkInsertDataInternalWriterHelper.java:119) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$2(HoodieDatasetBulkInsertHelper.scala:189) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$2$adapted(HoodieDatasetBulkInsertHelper.scala:189) at scala.collection.Iterator.foreach(Iterator.scala:941) at scala.collection.Iterator.foreach$(Iterator.scala:941) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.foreach(WholeStageCodegenExec.scala:753) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$1(HoodieDatasetBulkInsertHelper.scala:189) at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:863) at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:863) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at org.apache.spark.rdd.RDD.iterator(RDD.scala:337) 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:1439) 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) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2258) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2207) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2206) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2206) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1079) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1079) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1079) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2445) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2387) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2376) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:868) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2202) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2223) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2242) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2267) at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030) 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:414) at org.apache.spark.rdd.RDD.collect(RDD.scala:1029) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.bulkInsert(HoodieDatasetBulkInsertHelper.scala:154) at org.apache.hudi.HoodieDatasetBulkInsertHelper.bulkInsert(HoodieDatasetBulkInsertHelper.scala) at org.apache.hudi.commit.DatasetBulkInsertOverwriteCommitActionExecutor.doExecute(DatasetBulkInsertOverwriteCommitActionExecutor.java:51) at org.apache.hudi.commit.BaseDatasetBulkInsertCommitActionExecutor.execute(BaseDatasetBulkInsertCommitActionExecutor.java:102) at org.apache.hudi.HoodieSparkSqlWriter$.bulkInsertAsRow(HoodieSparkSqlWriter.scala:910) at org.apache.hudi.HoodieSparkSqlWriter$.writeInternal(HoodieSparkSqlWriter.scala:409) at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:132) at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:150) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:90) at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131) at org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438) at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293) at com.aliyun.odps.spark.examples.hudi.LocalDebugSparkHudi2$.main(LocalDebugSparkHudi2.scala:130) at com.aliyun.odps.spark.examples.hudi.LocalDebugSparkHudi2.main(LocalDebugSparkHudi2.scala) Caused by: org.apache.hudi.exception.HoodieException: Failed to resolve nested partition field at org.apache.hudi.keygen.BuiltinKeyGenerator$SparkRowAccessor.getRecordPartitionPathValues(BuiltinKeyGenerator.java:458) at org.apache.hudi.keygen.ComplexKeyGenerator.getPartitionPath(ComplexKeyGenerator.java:83) at org.apache.hudi.table.action.commit.BulkInsertDataInternalWriterHelper.extractPartitionPath(BulkInsertDataInternalWriterHelper.java:159) at org.apache.hudi.table.action.commit.BulkInsertDataInternalWriterHelper.write(BulkInsertDataInternalWriterHelper.java:119) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$2(HoodieDatasetBulkInsertHelper.scala:189) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$2$adapted(HoodieDatasetBulkInsertHelper.scala:189) at scala.collection.Iterator.foreach(Iterator.scala:941) at scala.collection.Iterator.foreach$(Iterator.scala:941) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.foreach(WholeStageCodegenExec.scala:753) at org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$bulkInsert$1(HoodieDatasetBulkInsertHelper.scala:189) at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:863) at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:863) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at org.apache.spark.rdd.RDD.iterator(RDD.scala:337) 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:1439) 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) -- This is an automated message from the Apache Git Service. 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