search

apache / hudi

Upserts, Deletes And Incremental Processing on Big Data.
https://hudi.apache.org/
Apache License 2.0
5.46k stars 2.43k forks source link

[SUPPORT] Could not sync using the meta sync class org.apache.hudi.hive.HiveSyncTool (com.pe.skull.titan.utils.SparkUtils) #12189

Open sushant-searce opened 3 weeks ago

sushant-searce commented 3 weeks ago

Hello Hoodie support,

We are migrating from Hudi 12 to Hudi 15 in our production pipelins

but We are not able to migrate the pipelines and there is pipeline outage because pipelines are failing consistently.

sharingError Traces with you for one of the pipeline

ivysettings.xml file not found in HIVE_HOME or HIVE_CONF_DIR,/etc/hive/conf.dist/ivysettings.xml will be used org.apache.hudi.exception.HoodieMetaSyncException: Could not sync using the meta sync class org.apache.hudi.hive.HiveSyncTool at org.apache.hudi.sync.common.util.SyncUtilHelpers.runHoodieMetaSync(SyncUtilHelpers.java:81) at org.apache.hudi.HoodieSparkSqlWriterInternal.$anonfun$metaSync$2(HoodieSparkSqlWriter.scala:1015) at scala.collection.mutable.HashSet.foreach(HashSet.scala:79) at org.apache.hudi.HoodieSparkSqlWriterInternal.metaSync(HoodieSparkSqlWriter.scala:1013) at org.apache.hudi.HoodieSparkSqlWriterInternal.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:1112) at org.apache.hudi.HoodieSparkSqlWriterInternal.writeInternal(HoodieSparkSqlWriter.scala:508) at org.apache.hudi.HoodieSparkSqlWriterInternal.write(HoodieSparkSqlWriter.scala:187) at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:125) at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:168) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48) 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$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:473) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:473) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:449) at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98) at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85) at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83) at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:142) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:859) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:388) at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:361) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:240) at com.pe.skull.titan.utils.SparkUtils.writeToTable(SparkUtils.java:137) at com.pe.skull.titan.tasks.PipelineRunner.writeData(PipelineRunner.java:154) at com.pe.skull.titan.tasks.PipelineRunner.processBatch(PipelineRunner.java:118) at com.pe.skull.titan.tasks.PipelineRunner.lambda$startPipelines$51830645$1(PipelineRunner.java:77) at org.apache.spark.sql.streaming.DataStreamWriter.$anonfun$foreachBatch$1(DataStreamWriter.scala:505) at org.apache.spark.sql.streaming.DataStreamWriter.$anonfun$foreachBatch$1$adapted(DataStreamWriter.scala:505) at org.apache.spark.sql.execution.streaming.sources.ForeachBatchSink.addBatch(ForeachBatchSink.scala:34) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$17(MicroBatchExecution.scala:732) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$16(MicroBatchExecution.scala:729) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:427) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:425) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:729) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:286) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:427) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:425) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:249) at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:67) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:239) at org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$runStream$1(StreamExecution.scala:311) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:289) at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.$anonfun$run$1(StreamExecution.scala:211) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94) at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:211) Caused by: org.apache.hudi.exception.HoodieException: Got runtime exception when hive syncing product_versions_snapshot_nrt at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:170) at org.apache.hudi.sync.common.util.SyncUtilHelpers.runHoodieMetaSync(SyncUtilHelpers.java:79) ... 71 more Caused by: java.lang.NullPointerException at org.apache.hudi.common.table.timeline.TimelineUtils.lambda$null$5(TimelineUtils.java:114) at java.base/java.util.HashMap.forEach(HashMap.java:1337) at org.apache.hudi.common.table.timeline.TimelineUtils.lambda$getDroppedPartitions$6(TimelineUtils.java:113) at java.base/java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1655) at java.base/java.util.stream.ReferencePipeline$Head.forEach(ReferencePipeline.java:658) at org.apache.hudi.common.table.timeline.TimelineUtils.getDroppedPartitions(TimelineUtils.java:110) at org.apache.hudi.sync.common.HoodieSyncClient.getDroppedPartitionsSince(HoodieSyncClient.java:97) at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:289) at org.apache.hudi.hive.HiveSyncTool.doSync(HiveSyncTool.java:179) at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:167) ... 72 more org.apache.hudi.exception.HoodieMetaSyncException: Could not sync using the meta sync class org.apache.hudi.hive.HiveSyncTool at org.apache.hudi.sync.common.util.SyncUtilHelpers.runHoodieMetaSync(SyncUtilHelpers.java:81) at org.apache.hudi.HoodieSparkSqlWriterInternal.$anonfun$metaSync$2(HoodieSparkSqlWriter.scala:1015) at scala.collection.mutable.HashSet.foreach(HashSet.scala:79) at org.apache.hudi.HoodieSparkSqlWriterInternal.metaSync(HoodieSparkSqlWriter.scala:1013) at org.apache.hudi.HoodieSparkSqlWriterInternal.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:1112) at org.apache.hudi.HoodieSparkSqlWriterInternal.writeInternal(HoodieSparkSqlWriter.scala:508) at org.apache.hudi.HoodieSparkSqlWriterInternal.write(HoodieSparkSqlWriter.scala:187) at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:125) at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:168) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48) 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$1(QueryExecution.scala:107) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:473) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:473) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32) 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:32) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:449) at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98) at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85) at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83) at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:142) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:859) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:388) at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:361) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:240) at com.pe.skull.titan.utils.SparkUtils.writeToTable(SparkUtils.java:137) at com.pe.skull.titan.tasks.PipelineRunner.writeData(PipelineRunner.java:154) at com.pe.skull.titan.tasks.PipelineRunner.processBatch(PipelineRunner.java:118) at com.pe.skull.titan.tasks.PipelineRunner.lambda$startPipelines$51830645$1(PipelineRunner.java:77) at org.apache.spark.sql.streaming.DataStreamWriter.$anonfun$foreachBatch$1(DataStreamWriter.scala:505) at org.apache.spark.sql.streaming.DataStreamWriter.$anonfun$foreachBatch$1$adapted(DataStreamWriter.scala:505) at org.apache.spark.sql.execution.streaming.sources.ForeachBatchSink.addBatch(ForeachBatchSink.scala:34) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$17(MicroBatchExecution.scala:732) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$16(MicroBatchExecution.scala:729) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:427) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:425) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:729) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:286) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:427) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:425) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:67) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:249) at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:67) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:239) at org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$runStream$1(StreamExecution.scala:311) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:289) at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.$anonfun$run$1(StreamExecution.scala:211) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94) at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:211) Caused by: org.apache.hudi.exception.HoodieException: Got runtime exception when hive syncing i_recommendations_widget_shown_snapshot_nrt at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:170) at org.apache.hudi.sync.common.util.SyncUtilHelpers.runHoodieMetaSync(SyncUtilHelpers.java:79) ... 71 more Caused by: java.lang.NullPointerException at org.apache.hudi.common.table.timeline.TimelineUtils.lambda$null$5(TimelineUtils.java:114) at java.base/java.util.HashMap.forEach(HashMap.java:1337) at org.apache.hudi.common.table.timeline.TimelineUtils.lambda$getDroppedPartitions$6(TimelineUtils.java:113) at java.base/java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1655) at java.base/java.util.stream.ReferencePipeline$Head.forEach(ReferencePipeline.java:658) at org.apache.hudi.common.table.timeline.TimelineUtils.getDroppedPartitions(TimelineUtils.java:110) at org.apache.hudi.sync.common.HoodieSyncClient.getDroppedPartitionsSince(HoodieSyncClient.java:97) at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:289) at org.apache.hudi.hive.HiveSyncTool.doSync(HiveSyncTool.java:179) at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:167) ... 72 more

Can anyone help here as it's very urgent and causing production outage

sushant-searce commented 3 weeks ago

Hello Team,

HUDI 15 We have performed some troubleshooting steps and tries with different hoodie properties. sharing test cases with you..

Test Case 1 Pipeline Run Status : Success

hoodie.clean.automatic: false 
hoodie.clean.async: false 
hoodie.datasource.hive_sync.enable: false

Test Case 2 Pipeline Run Status : Fail [ Table is different than case https://github.com/apache/hudi/issues/1 ]

hoodie.clean.automatic: false 
hoodie.clean.async: false 
hoodie.datasource.hive_sync.enable: true

Test Case 3 Pipeline Run Status : Success [ Table is different than case https://github.com/apache/hudi/issues/1 ]

hoodie.clean.automatic: true 
hoodie.clean.async: false  
hoodie.datasource.hive_sync.enable: false

Test Case 4 Pipeline Run Status : Success [ Table same as https://github.com/apache/hudi/issues/1 ]

hoodie.clean.automatic: true 
hoodie.clean.async: false  
hoodie.datasource.hive_sync.enable: true
sushant-searce commented 3 weeks ago

As you can see the test cases I have shared above Pipeline was working yesterday after disabling and then enabling the hive_sync.

Yesterday we disabled hive_sync in the pipeline and it ran successfully and enabled it again in next and that run successfully as well

but IN TODAYs run it FAILED with same error

It is very concerning is there anything we are missing here

Sharinf Hoodie Options as well

hudiOptions:

hoodie.cleaner.commits.retained: 10 hoodie.metadata.keep.max.commits: 30 hoodie.metadata.clean.async: false hoodie.keep.max.commits: 30 hoodie.metadata.keep.min.commits: 20 hoodie.archive.async: false hoodie.clean.automatic: true hoodie.finalize.write.parallelism: 200 hoodie.fail.on.timeline.archiving: false hoodie.clean.async: false hoodie.parquet.max.file.size: 128000000 hoodie.datasource.hive_sync.support_timestamp : true

DISABLING METADATA TO REDUCE FREQUENT CALLS TO GCS

hoodie.metadata.enable: false hoodie.datasource.write.hive_style_partitioning : true hoodie.parquet.small.file.limit: 100000000 hoodie.datasource.hive_sync.enable: true hoodie.bulkinsert.shuffle.parallelism: 200 hoodie.keep.min.commits: 11 hoodie.datasource.meta.sync.enable: true hoodie.metadata.cleaner.commits.retained: 3 hoodie.cleaner.incremental.mode: true hoodie.commits.archival.batch: 12 hoodie.upsert.shuffle.parallelism: 200 hive_sync.support_timestamp: true hoodie.insert.shuffle.parallelism: 200 hoodie.metadata.compact.max.delta.commits: 10 compaction.delta_commits: 5 metadata.compaction.delta_commits: 10 hoodie.compact.inline.max.delta.commits: 5 hoodie.archive.automatic: true hoodie.cleaner.parallelism: 200

danny0405 commented 3 weeks ago

Similiar issue: https://github.com/apache/hudi/issues/11955 already reported.

danny0405 commented 3 weeks ago

@ad1happy2go Can you prioritize this issue because multiple issues are reported.

sushant-searce commented 3 weeks ago

@danny0405 @ad1happy2go

yes i went through the ticket #11955 but I don't see any solution attached in the ticket.

If you can share solution with me that will really help

sushant-searce commented 3 weeks ago

@danny0405 @ad1happy2go

Just for your reference

Hadoop - 3.3.6 Hive - 3.1.3 Hudi - 0.15.0 Spark - 3.5.1

ad1happy2go commented 3 weeks ago

@sushant-searce Can you provide more details about your enviorment details. Are you using EMR or dataproc? if yes then can you provide us details about that? I tried with OSS spark 3.5.1 and hudi 0.15.0 but unable to reproduce any issue.

sushant-searce commented 2 weeks ago

Hello @danny0405 @ad1happy2go ,

We are using dataproc

ad1happy2go commented 2 weeks ago

@sushant-searce Thanks for all your support but Can you please tell us the full details about the dataproc version you are using and provide steps to reproduce.

sushant-searce commented 2 weeks ago

Hello @ad1happy2go

We are using dataproc 2.2 version

To reproduce the issue -

sushant-searce commented 2 weeks ago

Hello @ad1happy2go @danny0405

It looks like some issue with hudi clean file. schema is different for clean files in hudi 12 and hudi 15 that is what causing the issue