[ https://issues.apache.org/jira/browse/HIVE-16780?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ferdinand Xu updated HIVE-16780: -------------------------------- Resolution: Fixed Fix Version/s: 3.0.0 Status: Resolved (was: Patch Available) Committed to the upstream. Thanks [~kellyzly] for the patch and [~csun] for the reivew. > Case "multiple sources, single key" in spark_dynamic_pruning.q fails > --------------------------------------------------------------------- > > Key: HIVE-16780 > URL: https://issues.apache.org/jira/browse/HIVE-16780 > Project: Hive > Issue Type: Bug > Reporter: liyunzhang_intel > Assignee: liyunzhang_intel > Fix For: 3.0.0 > > Attachments: HIVE-16780.2.patch, HIVE-16780.patch > > > script.q > {code} > set hive.optimize.ppd=true; > set hive.ppd.remove.duplicatefilters=true; > set hive.spark.dynamic.partition.pruning=true; > set hive.optimize.metadataonly=false; > set hive.optimize.index.filter=true; > set hive.strict.checks.cartesian.product=false; > set hive.spark.dynamic.partition.pruning=true; > -- multiple sources, single key > select count(*) from srcpart join srcpart_date on (srcpart.ds = > srcpart_date.ds) join srcpart_hour on (srcpart.hr = srcpart_hour.hr) > {code} > if disabling "hive.optimize.index.filter", case passes otherwise it always > hang out in the first job. Exception > {code} > 17/05/27 23:39:45 DEBUG Executor task launch worker-0 PerfLogger: </PERFLOG > method=SparkInitializeOperators start=1495899585574 end=1495899585933 > duration=359 from=org.apache.hadoop.hive.ql.exec.spark.SparkRecordHandler> > 17/05/27 23:39:45 INFO Executor task launch worker-0 Utilities: PLAN PATH = > hdfs://bdpe41:8020/tmp/hive/root/029a2d8a-c6e5-4ea9-adea-ef8fbea3cde2/hive_2017-05-27_23-39-06_464_5915518562441677640-1/-mr-10007/617d9dd6-9f9a-4786-8131-a7b98e8abc3e/map.xml > 17/05/27 23:39:45 DEBUG Executor task launch worker-0 Utilities: Found plan > in cache for name: map.xml > 17/05/27 23:39:45 DEBUG Executor task launch worker-0 DFSClient: Connecting > to datanode 10.239.47.162:50010 > 17/05/27 23:39:45 DEBUG Executor task launch worker-0 MapOperator: Processing > alias(es) srcpart_hour for file > hdfs://bdpe41:8020/user/hive/warehouse/srcpart_hour/000008_0 > 17/05/27 23:39:45 DEBUG Executor task launch worker-0 ObjectCache: Creating > root_20170527233906_ac2934e1-2e58-4116-9f0d-35dee302d689_DynamicValueRegistry > 17/05/27 23:39:45 ERROR Executor task launch worker-0 SparkMapRecordHandler: > Error processing row: org.apache.hadoop.hive.ql.metadata.HiveException: Hive > Runtime Error while processing row {"hr":"11","hour":"11"} > org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while > processing row {"hr":"11","hour":"11"} > at > org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:562) > at > org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:136) > at > org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:48) > at > org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:27) > at > org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:85) > at > scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42) > at scala.collection.Iterator$class.foreach(Iterator.scala:893) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) > at > org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127) > at > org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127) > at > org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974) > at > org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) > at org.apache.spark.scheduler.Task.run(Task.scala:85) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.IllegalStateException: Failed to retrieve dynamic value > for RS_7_srcpart__col3_min > at > org.apache.hadoop.hive.ql.plan.DynamicValue.getValue(DynamicValue.java:126) > at > org.apache.hadoop.hive.ql.plan.DynamicValue.getWritableValue(DynamicValue.java:101) > at > org.apache.hadoop.hive.ql.exec.ExprNodeDynamicValueEvaluator._evaluate(ExprNodeDynamicValueEvaluator.java:51) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:80) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator$DeferredExprObject.get(ExprNodeGenericFuncEvaluator.java:88) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrGreaterThan.evaluate(GenericUDFOPEqualOrGreaterThan.java:108) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFBetween.evaluate(GenericUDFBetween.java:57) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator._evaluate(ExprNodeGenericFuncEvaluator.java:187) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:80) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator$DeferredExprObject.get(ExprNodeGenericFuncEvaluator.java:88) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd.evaluate(GenericUDFOPAnd.java:63) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator._evaluate(ExprNodeGenericFuncEvaluator.java:187) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:80) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator$DeferredExprObject.get(ExprNodeGenericFuncEvaluator.java:88) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd.evaluate(GenericUDFOPAnd.java:63) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator._evaluate(ExprNodeGenericFuncEvaluator.java:187) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:80) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorHead._evaluate(ExprNodeEvaluatorHead.java:44) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:80) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:68) > at > org.apache.hadoop.hive.ql.exec.FilterOperator.process(FilterOperator.java:112) > at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:897) > at > org.apache.hadoop.hive.ql.exec.TableScanOperator.process(TableScanOperator.java:130) > at > org.apache.hadoop.hive.ql.exec.MapOperator$MapOpCtx.forward(MapOperator.java:148) > at > org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:547) > ... 17 more > Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: > java.lang.NullPointerException > at > org.apache.hadoop.hive.ql.exec.mr.ObjectCache.retrieve(ObjectCache.java:62) > at > org.apache.hadoop.hive.ql.exec.mr.ObjectCache.retrieve(ObjectCache.java:51) > at > org.apache.hadoop.hive.ql.exec.ObjectCacheWrapper.retrieve(ObjectCacheWrapper.java:40) > at > org.apache.hadoop.hive.ql.plan.DynamicValue.getValue(DynamicValue.java:119) > ... 41 more > Caused by: java.lang.NullPointerException > at > org.apache.hadoop.hive.ql.exec.mr.ObjectCache.retrieve(ObjectCache.java:60) > ... 44 more > 17/05/27 23:39:45 ERROR Executor task launch worker-0 Executor: Exception in > task 1.0 in stage 0.0 (TID 1) > java.lang.RuntimeException: Error processing row: > org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while > processing row {"hr":"11","hour":"11"} > at > org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:149) > at > org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:48) > at > org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:27) > at > org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:85) > at > scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42) > at scala.collection.Iterator$class.foreach(Iterator.scala:893) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) > at > org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127) > at > org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127) > at > org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974) > at > org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) > at org.apache.spark.scheduler.Task.run(Task.scala:85) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime > Error while processing row {"hr":"11","hour":"11"} > at > org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:562) > at > org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:136) > ... 16 more > Caused by: java.lang.IllegalStateException: Failed to retrieve dynamic value > for RS_7_srcpart__col3_min > at > org.apache.hadoop.hive.ql.plan.DynamicValue.getValue(DynamicValue.java:126) > at > org.apache.hadoop.hive.ql.plan.DynamicValue.getWritableValue(DynamicValue.java:101) > at > org.apache.hadoop.hive.ql.exec.ExprNodeDynamicValueEvaluator._evaluate(ExprNodeDynamicValueEvaluator.java:51) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:80) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator$DeferredExprObject.get(ExprNodeGenericFuncEvaluator.java:88) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrGreaterThan.evaluate(GenericUDFOPEqualOrGreaterThan.java:108) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFBetween.evaluate(GenericUDFBetween.java:57) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator._evaluate(ExprNodeGenericFuncEvaluator.java:187) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:80) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator$DeferredExprObject.get(ExprNodeGenericFuncEvaluator.java:88) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd.evaluate(GenericUDFOPAnd.java:63) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator._evaluate(ExprNodeGenericFuncEvaluator.java:187) > at > org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator.evaluate(ExprNodeEvaluator.java:80) > at > org.apache.hadoop.hive.ql.exec.ExprNodeGenericFuncEvaluator$DeferredExprObject.get(ExprNodeGenericFuncEvaluator.java:88) > at org.apache.hadoop.hive > {code} -- This message was sent by Atlassian JIRA (v6.3.15#6346)