[
https://issues.apache.org/jira/browse/HUDI-3846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
sivabalan narayanan updated HUDI-3846:
--------------------------------------
Fix Version/s: 0.12.0
> Clustering with allow update strategy could fail w/ async clustering
> --------------------------------------------------------------------
>
> Key: HUDI-3846
> URL: https://issues.apache.org/jira/browse/HUDI-3846
> Project: Apache Hudi
> Issue Type: Task
> Components: clustering
> Reporter: sivabalan narayanan
> Priority: Major
> Fix For: 0.12.0
>
>
> with async clustering and allow update strategy, there could be failures in
> the pipeline. You can check out the below stacktrace.
>
> here is the condition when this is possible. When we are looking to support
> updates when clustering is in progress, we might have to consider this
> scenario.
>
> A file group FG1 was chosen to be replaced by clustering plan. And clustering
> is in progress. At this juncture, if we get a new batch of upserts and after
> index look up, if records are tagged w/ FG1, and before merge handle for
> upsert is called, lets say clustering is completed. So, when getting latest
> base file for FG1, FileSystemView might return none since the FG has been
> replaced (since clustering is completed). So, when are looking to add update
> support w/ async clustering, we might have to support this use-case as well.
> But its a low priority ticket for now, since with allow update strategy we do
> claim that there could be data loss and on one is supposed to try out in
> production setting for now.
>
> {code:java}
> 22/04/09 19:26:16 ERROR HoodieStreamingSink: Micro batch id=268 threw
> following exception:
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in
> stage 17111.0 failed 1 times, most recent failure: Lost task 6.0 in stage
> 17111.0 (TID 727932, localhost, executor driver):
> org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType
> UPDATE for partition :6
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:329)
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$1(BaseSparkCommitActionExecutor.java:244)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$mapPartitionsWithIndex$1.apply(JavaRDDLike.scala:102)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$mapPartitionsWithIndex$1.apply(JavaRDDLike.scala:102)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:875)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:875)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
> at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:359)
> at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:357)
> at
> org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1182)
> at
> org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
> at
> org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
> at
> org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
> at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.util.NoSuchElementException: No value present in Option
> at org.apache.hudi.common.util.Option.get(Option.java:89)
> at
> org.apache.hudi.io.HoodieMergeHandle.<init>(HoodieMergeHandle.java:116)
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.getUpdateHandle(BaseSparkCommitActionExecutor.java:377)
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpdate(BaseSparkCommitActionExecutor.java:348)
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:322)
> ... 30 more
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1925)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1913)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1912)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1912)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:948)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:948)
> at scala.Option.foreach(Option.scala:257)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:948)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2146)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2095)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2084)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> at
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:759)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126)
> at org.apache.spark.rdd.RDD.count(RDD.scala:1213)
> at
> org.apache.hudi.HoodieSparkSqlWriter$.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:642)
> at
> org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:309)
> at
> org.apache.hudi.HoodieStreamingSink$$anonfun$1$$anonfun$2.apply(HoodieStreamingSink.scala:88)
> at
> org.apache.hudi.HoodieStreamingSink$$anonfun$1$$anonfun$2.apply(HoodieStreamingSink.scala:88)
> at scala.util.Try$.apply(Try.scala:192)
> at
> org.apache.hudi.HoodieStreamingSink$$anonfun$1.apply(HoodieStreamingSink.scala:87)
> at
> org.apache.hudi.HoodieStreamingSink$$anonfun$1.apply(HoodieStreamingSink.scala:87)
> at
> org.apache.hudi.HoodieStreamingSink.retry(HoodieStreamingSink.scala:164)
> at
> org.apache.hudi.HoodieStreamingSink.addBatch(HoodieStreamingSink.scala:86)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$5$$anonfun$apply$17.apply(MicroBatchExecution.scala:537)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$5.apply(MicroBatchExecution.scala:535)
> at
> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:351)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch(MicroBatchExecution.scala:534)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:198)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:166)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:166)
> at
> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:351)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:166)
> at
> org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:160)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:281)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:193)
> Caused by: org.apache.hudi.exception.HoodieUpsertException: Error upserting
> bucketType UPDATE for partition :6
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:329)
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$1(BaseSparkCommitActionExecutor.java:244)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$mapPartitionsWithIndex$1.apply(JavaRDDLike.scala:102)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$mapPartitionsWithIndex$1.apply(JavaRDDLike.scala:102)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:875)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:875)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
> at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:359)
> at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:357)
> at
> org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1182)
> at
> org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
> at
> org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
> at
> org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
> at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.util.NoSuchElementException: No value present in Option
> at org.apache.hudi.common.util.Option.get(Option.java:89)
> at
> org.apache.hudi.io.HoodieMergeHandle.<init>(HoodieMergeHandle.java:116)
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.getUpdateHandle(BaseSparkCommitActionExecutor.java:377)
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpdate(BaseSparkCommitActionExecutor.java:348)
> at
> org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:322)
> {code}
>
>
>
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