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https://issues.apache.org/jira/browse/PHOENIX-5860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Chao Wang updated PHOENIX-5860:
-------------------------------
Attachment: PHOENIX-5860.4.x.patch
> Throw exception which region is closing or splitting when delete data
> ---------------------------------------------------------------------
>
> Key: PHOENIX-5860
> URL: https://issues.apache.org/jira/browse/PHOENIX-5860
> Project: Phoenix
> Issue Type: Bug
> Components: core
> Affects Versions: 4.13.1
> Reporter: Chao Wang
> Assignee: Chao Wang
> Priority: Blocker
> Fix For: 4.x
>
> Attachments: PHOENIX-5860.4.13.x-HBASE.1.3.x.002.patch,
> PHOENIX-5860.4.x.patch
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> Currently delete data is UngroupedAggregateRegionObserver class on server
> side, this class check if isRegionClosingOrSplitting is true. when
> isRegionClosingOrSplitting is true, will throw new IOException("Temporarily
> unable to write from scan because region is closing or splitting").
> when region online , which initialize phoenix CP that
> isRegionClosingOrSplitting is false.before region split, region change
> isRegionClosingOrSplitting to true.but if region split failed,split will roll
> back where not change isRegionClosingOrSplitting to false. after that all
> write opration will always throw exception which is Temporarily unable to
> write from scan because region is closing or splitting。
> so we should change isRegionClosingOrSplitting to false when region
> preRollBackSplit in UngroupedAggregateRegionObserver class。
> A simple test where a data table split failed, then roll back success.but
> delete data always throw exception.
> # create data table
> # bulkload data for this table
> # alter hbase-server code, which region split will throw exception , then
> rollback.
> # use hbase shell , split region
> # view regionserver log, where region split failed, and then rollback
> success.
> # user phoenix sqlline.py for delete data, which will throw exption
> Caused by: java.io.IOException: Temporarily unable to write from scan
> because region is closing or splitting Caused by: java.io.IOException:
> Temporarily unable to write from scan because region is closing or splitting
> at
> org.apache.phoenix.coprocessor.UngroupedAggregateRegionObserver.doPostScannerOpen(UngroupedAggregateRegionObserver.java:516)
> at
> org.apache.phoenix.coprocessor.BaseScannerRegionObserver$RegionScannerHolder.overrideDelegate(BaseScannerRegionObserver.java:245)
> at
> org.apache.phoenix.coprocessor.BaseScannerRegionObserver$RegionScannerHolder.nextRaw(BaseScannerRegionObserver.java:293)
> at
> org.apache.hadoop.hbase.regionserver.RSRpcServices.scan(RSRpcServices.java:2881)
> at
> org.apache.hadoop.hbase.regionserver.RSRpcServices.scan(RSRpcServices.java:3082)
> ... 5 more
> at
> org.apache.phoenix.util.ServerUtil.parseServerException(ServerUtil.java:108)
> at
> org.apache.phoenix.iterate.BaseResultIterators.getIterators(BaseResultIterators.java:548)
> at
> org.apache.phoenix.iterate.ConcatResultIterator.getIterators(ConcatResultIterator.java:50)
> at
> org.apache.phoenix.iterate.ConcatResultIterator.currentIterator(ConcatResultIterator.java:97)
> at
> org.apache.phoenix.iterate.ConcatResultIterator.next(ConcatResultIterator.java:117)
> at
> org.apache.phoenix.iterate.BaseGroupedAggregatingResultIterator.next(BaseGroupedAggregatingResultIterator.java:64)
> at
> org.apache.phoenix.iterate.UngroupedAggregatingResultIterator.next(UngroupedAggregatingResultIterator.java:39)
> at
> org.apache.phoenix.compile.DeleteCompiler$2.execute(DeleteCompiler.java:498)
> at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:303)
> at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:295)
> at org.apache.phoenix.call.CallRunner.run(CallRunner.java:53) at
> org.apache.phoenix.jdbc.PhoenixStatement.executeMutation(PhoenixStatement.java:293)
> at
> org.apache.phoenix.jdbc.PhoenixPreparedStatement.executeUpdate(PhoenixPreparedStatement.java:200)
> at
> com.huawei.mds.apps.ecidRepeatProcess.EcidProcessCommon$$anonfun$40$$anonfun$apply$19.apply(EcidProcessCommon.scala:2253)
> at
> com.huawei.mds.apps.ecidRepeatProcess.EcidProcessCommon$$anonfun$40$$anonfun$apply$19.apply(EcidProcessCommon.scala:2249)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893) at
> org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
> at
> com.huawei.mds.apps.ecidRepeatProcess.EcidProcessCommon$$anonfun$40.apply(EcidProcessCommon.scala:2249)
> at
> com.huawei.mds.apps.ecidRepeatProcess.EcidProcessCommon$$anonfun$40.apply(EcidProcessCommon.scala:2243)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:798)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:798)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
> org.apache.spark.scheduler.Task.run(Task.scala:99) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:325) 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)
>
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