org.scalatest.exceptions.TestFailedException: Failed to execute query using catalyst: Error: execute, tree: Exchange hashpartitioning(p_mfgr#153828, 5) +- *(2) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, p_size#153831]) +- Exchange hashpartitioning(p_mfgr#153828, p_name#153827, p_size#153831, 5) +- *(1) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[partial_min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min#153860]) +- *(1) Filter (isnotnull(p_size#153831) && (p_size#153831 > 0)) +- Scan hive default.part [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834] org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree: Exchange hashpartitioning(p_mfgr#153828, 5) +- *(2) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, p_size#153831]) +- Exchange hashpartitioning(p_mfgr#153828, p_name#153827, p_size#153831, 5) +- *(1) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[partial_min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min#153860]) +- *(1) Filter (isnotnull(p_size#153831) && (p_size#153831 > 0)) +- Scan hive default.part [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834] at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:119) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374) at org.apache.spark.sql.execution.SortExec.inputRDDs(SortExec.scala:121) at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.window.WindowExec.doExecute(WindowExec.scala:302) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374) at org.apache.spark.sql.execution.ProjectExec.inputRDDs(basicPhysicalOperators.scala:41) at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247) at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:294) at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:324) at org.apache.spark.sql.execution.QueryExecution.hiveResultString(QueryExecution.scala:121) at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25$$anonfun$getResult$1$1.apply(HiveComparisonTest.scala:348) at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25$$anonfun$getResult$1$1.apply(HiveComparisonTest.scala:348) at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73) at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25.getResult$1(HiveComparisonTest.scala:348) at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25.apply(HiveComparisonTest.scala:350) at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25.apply(HiveComparisonTest.scala:345) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6.doTest$1(HiveComparisonTest.scala:345) at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6.apply(HiveComparisonTest.scala:462) at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85) at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104) at org.scalatest.Transformer.apply(Transformer.scala:22) at org.scalatest.Transformer.apply(Transformer.scala:20) at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186) at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103) at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183) at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196) at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196) at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289) at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196) at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.org$scalatest$BeforeAndAfter$$super$runTest(HiveWindowFunctionQuerySuite.scala:35) at org.scalatest.BeforeAndAfter$class.runTest(BeforeAndAfter.scala:203) at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.runTest(HiveWindowFunctionQuerySuite.scala:35) at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229) at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229) at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396) at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384) at scala.collection.immutable.List.foreach(List.scala:392) at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384) at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379) at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461) at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229) at org.scalatest.FunSuite.runTests(FunSuite.scala:1560) at org.scalatest.Suite$class.run(Suite.scala:1147) at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560) at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233) at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233) at org.scalatest.SuperEngine.runImpl(Engine.scala:521) at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233) at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:52) at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:213) at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:210) at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.org$scalatest$BeforeAndAfter$$super$run(HiveWindowFunctionQuerySuite.scala:35) at org.scalatest.BeforeAndAfter$class.run(BeforeAndAfter.scala:258) at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.run(HiveWindowFunctionQuerySuite.scala:35) at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:314) at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:480) at sbt.ForkMain$Run$2.call(ForkMain.java:296) at sbt.ForkMain$Run$2.call(ForkMain.java:286) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree: Exchange hashpartitioning(p_mfgr#153828, p_name#153827, p_size#153831, 5) +- *(1) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[partial_min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min#153860]) +- *(1) Filter (isnotnull(p_size#153831) && (p_size#153831 > 0)) +- Scan hive default.part [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834] at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:119) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374) at org.apache.spark.sql.execution.aggregate.HashAggregateExec.inputRDDs(HashAggregateExec.scala:151) at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:92) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:128) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:119) at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52) ... 96 more Caused by: java.lang.IllegalStateException: Cannot call methods on a stopped SparkContext. This stopped SparkContext was created at: org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6.apply(HiveComparisonTest.scala:456) org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85) org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104) org.scalatest.Transformer.apply(Transformer.scala:22) org.scalatest.Transformer.apply(Transformer.scala:20) org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186) org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103) org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183) org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196) org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196) org.scalatest.SuperEngine.runTestImpl(Engine.scala:289) org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196) org.scalatest.FunSuite.runTest(FunSuite.scala:1560) org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229) org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229) org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396) org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384) scala.collection.immutable.List.foreach(List.scala:392) org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384) org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379) The currently active SparkContext was created at: (No active SparkContext.) at org.apache.spark.SparkContext.assertNotStopped(SparkContext.scala:100) at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1492) at org.apache.spark.sql.hive.HadoopTableReader.<init>(TableReader.scala:89) at org.apache.spark.sql.hive.execution.HiveTableScanExec.org$apache$spark$sql$hive$execution$HiveTableScanExec$$hadoopReader$lzycompute(HiveTableScanExec.scala:105) at org.apache.spark.sql.hive.execution.HiveTableScanExec.org$apache$spark$sql$hive$execution$HiveTableScanExec$$hadoopReader(HiveTableScanExec.scala:105) at org.apache.spark.sql.hive.execution.HiveTableScanExec$$anonfun$10.apply(HiveTableScanExec.scala:188) at org.apache.spark.sql.hive.execution.HiveTableScanExec$$anonfun$10.apply(HiveTableScanExec.scala:188) at org.apache.spark.util.Utils$.withDummyCallSite(Utils.scala:2457) at org.apache.spark.sql.hive.execution.HiveTableScanExec.doExecute(HiveTableScanExec.scala:187) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374) at org.apache.spark.sql.execution.FilterExec.inputRDDs(basicPhysicalOperators.scala:121) at org.apache.spark.sql.execution.aggregate.HashAggregateExec.inputRDDs(HashAggregateExec.scala:151) at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:92) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:128) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:119) at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52) ... 116 more select p_mfgr, p_name, p_size, min(p_retailprice), rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr, p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz from part group by p_mfgr, p_name, p_size having p_size > 0 == Parsed Logical Plan == 'Filter ('p_size > 0) +- 'Aggregate ['p_mfgr, 'p_name, 'p_size], ['p_mfgr, 'p_name, 'p_size, unresolvedalias('min('p_retailprice), None), 'rank() windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$()) AS r#153819, 'dense_rank() windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$()) AS dr#153820, 'p_size, ('p_size - 'lag('p_size, 1, 'p_size) windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$())) AS deltaSz#153821] +- 'UnresolvedRelation `part` == Analyzed Logical Plan == p_mfgr: string, p_name: string, p_size: int, min(p_retailprice): double, r: int, dr: int, p_size: int, deltaSz: int Project [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, r#153819, dr#153820, p_size#153831, deltaSz#153821] +- Project [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, p_size#153831, r#153819, dr#153820, _we2#153843, r#153819, dr#153820, (p_size#153831 - _we2#153843) AS deltaSz#153821] +- Window [rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153819, dense_rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153820, lag(p_size#153831, 1, p_size#153831) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, -1, -1)) AS _we2#153843], [p_mfgr#153828], [p_name#153827 ASC NULLS FIRST] +- Filter (p_size#153831 > 0) +- Aggregate [p_mfgr#153828, p_name#153827, p_size#153831], [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice#153833) AS min(p_retailprice)#153836, p_size#153831] +- SubqueryAlias `default`.`part` +- HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834] == Optimized Logical Plan == Project [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, r#153819, dr#153820, p_size#153831, (p_size#153831 - _we2#153843) AS deltaSz#153821] +- Window [rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153819, dense_rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153820, lag(p_size#153831, 1, p_size#153831) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, -1, -1)) AS _we2#153843], [p_mfgr#153828], [p_name#153827 ASC NULLS FIRST] +- Aggregate [p_mfgr#153828, p_name#153827, p_size#153831], [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice#153833) AS min(p_retailprice)#153836, p_size#153831] +- Project [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833] +- Filter (isnotnull(p_size#153831) && (p_size#153831 > 0)) +- HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834] == Physical Plan == *(4) Project [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, r#153819, dr#153820, p_size#153831, (p_size#153831 - _we2#153843) AS deltaSz#153821] +- Window [rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153819, dense_rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153820, lag(p_size#153831, 1, p_size#153831) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, -1, -1)) AS _we2#153843], [p_mfgr#153828], [p_name#153827 ASC NULLS FIRST] +- *(3) Sort [p_mfgr#153828 ASC NULLS FIRST, p_name#153827 ASC NULLS FIRST], false, 0 +- Exchange hashpartitioning(p_mfgr#153828, 5) +- *(2) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, p_size#153831]) +- Exchange hashpartitioning(p_mfgr#153828, p_name#153827, p_size#153831, 5) +- *(1) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[partial_min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min#153860]) +- *(1) Filter (isnotnull(p_size#153831) && (p_size#153831 > 0)) +- Scan hive default.part [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834] == HIVE - 25 row(s) == Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23

sbt.ForkMain$ForkError: org.scalatest.exceptions.TestFailedException: 
Failed to execute query using catalyst:
Error: execute, tree:
Exchange hashpartitioning(p_mfgr#153828, 5)
+- *(2) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, p_size#153831])
   +- Exchange hashpartitioning(p_mfgr#153828, p_name#153827, p_size#153831, 5)
      +- *(1) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[partial_min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min#153860])
         +- *(1) Filter (isnotnull(p_size#153831) && (p_size#153831 > 0))
            +- Scan hive default.part [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834]

org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
Exchange hashpartitioning(p_mfgr#153828, 5)
+- *(2) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, p_size#153831])
   +- Exchange hashpartitioning(p_mfgr#153828, p_name#153827, p_size#153831, 5)
      +- *(1) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[partial_min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min#153860])
         +- *(1) Filter (isnotnull(p_size#153831) && (p_size#153831 > 0))
            +- Scan hive default.part [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834]

	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:119)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374)
	at org.apache.spark.sql.execution.SortExec.inputRDDs(SortExec.scala:121)
	at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.window.WindowExec.doExecute(WindowExec.scala:302)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374)
	at org.apache.spark.sql.execution.ProjectExec.inputRDDs(basicPhysicalOperators.scala:41)
	at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247)
	at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:294)
	at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:324)
	at org.apache.spark.sql.execution.QueryExecution.hiveResultString(QueryExecution.scala:121)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25$$anonfun$getResult$1$1.apply(HiveComparisonTest.scala:348)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25$$anonfun$getResult$1$1.apply(HiveComparisonTest.scala:348)
	at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25.getResult$1(HiveComparisonTest.scala:348)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25.apply(HiveComparisonTest.scala:350)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25.apply(HiveComparisonTest.scala:345)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
	at scala.collection.AbstractTraversable.map(Traversable.scala:104)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6.doTest$1(HiveComparisonTest.scala:345)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6.apply(HiveComparisonTest.scala:462)
	at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
	at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
	at org.scalatest.Transformer.apply(Transformer.scala:22)
	at org.scalatest.Transformer.apply(Transformer.scala:20)
	at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
	at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103)
	at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
	at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
	at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
	at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
	at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
	at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.org$scalatest$BeforeAndAfter$$super$runTest(HiveWindowFunctionQuerySuite.scala:35)
	at org.scalatest.BeforeAndAfter$class.runTest(BeforeAndAfter.scala:203)
	at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.runTest(HiveWindowFunctionQuerySuite.scala:35)
	at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
	at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
	at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
	at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
	at scala.collection.immutable.List.foreach(List.scala:392)
	at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
	at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
	at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
	at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
	at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
	at org.scalatest.Suite$class.run(Suite.scala:1147)
	at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
	at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
	at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
	at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
	at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
	at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:52)
	at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:213)
	at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:210)
	at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.org$scalatest$BeforeAndAfter$$super$run(HiveWindowFunctionQuerySuite.scala:35)
	at org.scalatest.BeforeAndAfter$class.run(BeforeAndAfter.scala:258)
	at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.run(HiveWindowFunctionQuerySuite.scala:35)
	at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:314)
	at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:480)
	at sbt.ForkMain$Run$2.call(ForkMain.java:296)
	at sbt.ForkMain$Run$2.call(ForkMain.java:286)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
Exchange hashpartitioning(p_mfgr#153828, p_name#153827, p_size#153831, 5)
+- *(1) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[partial_min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min#153860])
   +- *(1) Filter (isnotnull(p_size#153831) && (p_size#153831 > 0))
      +- Scan hive default.part [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834]

	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:119)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374)
	at org.apache.spark.sql.execution.aggregate.HashAggregateExec.inputRDDs(HashAggregateExec.scala:151)
	at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:92)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:128)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:119)
	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
	... 96 more
Caused by: java.lang.IllegalStateException: Cannot call methods on a stopped SparkContext.
This stopped SparkContext was created at:

org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6.apply(HiveComparisonTest.scala:456)
org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
org.scalatest.Transformer.apply(Transformer.scala:22)
org.scalatest.Transformer.apply(Transformer.scala:20)
org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103)
org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
org.scalatest.FunSuite.runTest(FunSuite.scala:1560)
org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
scala.collection.immutable.List.foreach(List.scala:392)
org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)

The currently active SparkContext was created at:

(No active SparkContext.)
         
	at org.apache.spark.SparkContext.assertNotStopped(SparkContext.scala:100)
	at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1492)
	at org.apache.spark.sql.hive.HadoopTableReader.<init>(TableReader.scala:89)
	at org.apache.spark.sql.hive.execution.HiveTableScanExec.org$apache$spark$sql$hive$execution$HiveTableScanExec$$hadoopReader$lzycompute(HiveTableScanExec.scala:105)
	at org.apache.spark.sql.hive.execution.HiveTableScanExec.org$apache$spark$sql$hive$execution$HiveTableScanExec$$hadoopReader(HiveTableScanExec.scala:105)
	at org.apache.spark.sql.hive.execution.HiveTableScanExec$$anonfun$10.apply(HiveTableScanExec.scala:188)
	at org.apache.spark.sql.hive.execution.HiveTableScanExec$$anonfun$10.apply(HiveTableScanExec.scala:188)
	at org.apache.spark.util.Utils$.withDummyCallSite(Utils.scala:2457)
	at org.apache.spark.sql.hive.execution.HiveTableScanExec.doExecute(HiveTableScanExec.scala:187)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374)
	at org.apache.spark.sql.execution.FilterExec.inputRDDs(basicPhysicalOperators.scala:121)
	at org.apache.spark.sql.execution.aggregate.HashAggregateExec.inputRDDs(HashAggregateExec.scala:151)
	at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:92)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:128)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:119)
	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
	... 116 more

select p_mfgr, p_name, p_size, min(p_retailprice),
rank() over(distribute by p_mfgr sort by p_name) as r,
dense_rank() over(distribute by p_mfgr sort by p_name) as dr,
p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz
from part
group by p_mfgr, p_name, p_size
having p_size > 0
== Parsed Logical Plan ==
'Filter ('p_size > 0)
+- 'Aggregate ['p_mfgr, 'p_name, 'p_size], ['p_mfgr, 'p_name, 'p_size, unresolvedalias('min('p_retailprice), None), 'rank() windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$()) AS r#153819, 'dense_rank() windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$()) AS dr#153820, 'p_size, ('p_size - 'lag('p_size, 1, 'p_size) windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$())) AS deltaSz#153821]
   +- 'UnresolvedRelation `part`

== Analyzed Logical Plan ==
p_mfgr: string, p_name: string, p_size: int, min(p_retailprice): double, r: int, dr: int, p_size: int, deltaSz: int
Project [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, r#153819, dr#153820, p_size#153831, deltaSz#153821]
+- Project [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, p_size#153831, r#153819, dr#153820, _we2#153843, r#153819, dr#153820, (p_size#153831 - _we2#153843) AS deltaSz#153821]
   +- Window [rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153819, dense_rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153820, lag(p_size#153831, 1, p_size#153831) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, -1, -1)) AS _we2#153843], [p_mfgr#153828], [p_name#153827 ASC NULLS FIRST]
      +- Filter (p_size#153831 > 0)
         +- Aggregate [p_mfgr#153828, p_name#153827, p_size#153831], [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice#153833) AS min(p_retailprice)#153836, p_size#153831]
            +- SubqueryAlias `default`.`part`
               +- HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834]

== Optimized Logical Plan ==
Project [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, r#153819, dr#153820, p_size#153831, (p_size#153831 - _we2#153843) AS deltaSz#153821]
+- Window [rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153819, dense_rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153820, lag(p_size#153831, 1, p_size#153831) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, -1, -1)) AS _we2#153843], [p_mfgr#153828], [p_name#153827 ASC NULLS FIRST]
   +- Aggregate [p_mfgr#153828, p_name#153827, p_size#153831], [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice#153833) AS min(p_retailprice)#153836, p_size#153831]
      +- Project [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833]
         +- Filter (isnotnull(p_size#153831) && (p_size#153831 > 0))
            +- HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834]

== Physical Plan ==
*(4) Project [p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, r#153819, dr#153820, p_size#153831, (p_size#153831 - _we2#153843) AS deltaSz#153821]
+- Window [rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153819, dense_rank(p_name#153827) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153820, lag(p_size#153831, 1, p_size#153831) windowspecdefinition(p_mfgr#153828, p_name#153827 ASC NULLS FIRST, specifiedwindowframe(RowFrame, -1, -1)) AS _we2#153843], [p_mfgr#153828], [p_name#153827 ASC NULLS FIRST]
   +- *(3) Sort [p_mfgr#153828 ASC NULLS FIRST, p_name#153827 ASC NULLS FIRST], false, 0
      +- Exchange hashpartitioning(p_mfgr#153828, 5)
         +- *(2) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min(p_retailprice)#153836, p_size#153831])
            +- Exchange hashpartitioning(p_mfgr#153828, p_name#153827, p_size#153831, 5)
               +- *(1) HashAggregate(keys=[p_mfgr#153828, p_name#153827, p_size#153831], functions=[partial_min(p_retailprice#153833)], output=[p_mfgr#153828, p_name#153827, p_size#153831, min#153860])
                  +- *(1) Filter (isnotnull(p_size#153831) && (p_size#153831 > 0))
                     +- Scan hive default.part [p_name#153827, p_mfgr#153828, p_size#153831, p_retailprice#153833], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#153826, p_name#153827, p_mfgr#153828, p_brand#153829, p_type#153830, p_size#153831, p_container#153832, p_retailprice#153833, p_comment#153834]
== HIVE - 25 row(s) ==
Manufacturer#1	almond antique burnished rose metallic	2	1173.15	1	1	2	0
Manufacturer#1	almond antique chartreuse lavender yellow	34	1753.76	2	2	34	32
Manufacturer#1	almond antique salmon chartreuse burlywood	6	1602.59	3	3	6	-28
Manufacturer#1	almond aquamarine burnished black steel	28	1414.42	4	4	28	22
Manufacturer#1	almond aquamarine pink moccasin thistle	42	1632.66	5	5	42	14
Manufacturer#2	almond antique violet chocolate turquoise	14	1690.68	1	1	14	0
Manufacturer#2	almond antique violet turquoise frosted	40	1800.7	2	2	40	26
Manufacturer#2	almond aquamarine midnight light salmon	2	2031.98	3	3	2	-38
Manufacturer#2	almond aquamarine rose maroon antique	25	1698.66	4	4	25	23
Manufacturer#2	almond aquamarine sandy cyan gainsboro	18	1701.6	5	5	18	-7
Manufacturer#3	almond antique chartreuse khaki white	17	1671.68	1	1	17	0
Manufacturer#3	almond antique forest lavender goldenrod	14	1190.27	2	2	14	-3
Manufacturer#3	almond antique metallic orange dim	19	1410.39	3	3	19	5
Manufacturer#3	almond antique misty red olive	1	1922.98	4	4	1	-18
Manufacturer#3	almond antique olive coral navajo	45	1337.29	5	5	45	44
Manufacturer#4	almond antique gainsboro frosted violet	10	1620.67	1	1	10	0
Manufacturer#4	almond antique violet mint lemon	39	1375.42	2	2	39	29
Manufacturer#4	almond aquamarine floral ivory bisque	27	1206.26	3	3	27	-12
Manufacturer#4	almond aquamarine yellow dodger mint	7	1844.92	4	4	7	-20
Manufacturer#4	almond azure aquamarine papaya violet	12	1290.35	5	5	12	5
Manufacturer#5	almond antique blue firebrick mint	31	1789.69	1	1	31	0
Manufacturer#5	almond antique medium spring khaki	6	1611.66	2	2	6	-25
Manufacturer#5	almond antique sky peru orange	2	1788.73	3	3	2	-4
Manufacturer#5	almond aquamarine dodger light gainsboro	46	1018.1	4	4	46	44
Manufacturer#5	almond azure blanched chiffon midnight	23	1464.48	5	5	23	-23
                
	at org.scalatest.Assertions$class.newAssertionFailedException(Assertions.scala:528)
	at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
	at org.scalatest.Assertions$class.fail(Assertions.scala:1089)
	at org.scalatest.FunSuite.fail(FunSuite.scala:1560)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25.apply(HiveComparisonTest.scala:363)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6$$anonfun$25.apply(HiveComparisonTest.scala:345)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
	at scala.collection.AbstractTraversable.map(Traversable.scala:104)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6.doTest$1(HiveComparisonTest.scala:345)
	at org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$6.apply(HiveComparisonTest.scala:462)
	at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
	at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
	at org.scalatest.Transformer.apply(Transformer.scala:22)
	at org.scalatest.Transformer.apply(Transformer.scala:20)
	at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
	at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103)
	at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
	at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
	at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
	at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
	at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
	at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.org$scalatest$BeforeAndAfter$$super$runTest(HiveWindowFunctionQuerySuite.scala:35)
	at org.scalatest.BeforeAndAfter$class.runTest(BeforeAndAfter.scala:203)
	at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.runTest(HiveWindowFunctionQuerySuite.scala:35)
	at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
	at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
	at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
	at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
	at scala.collection.immutable.List.foreach(List.scala:392)
	at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
	at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
	at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
	at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
	at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
	at org.scalatest.Suite$class.run(Suite.scala:1147)
	at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
	at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
	at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
	at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
	at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
	at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:52)
	at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:213)
	at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:210)
	at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.org$scalatest$BeforeAndAfter$$super$run(HiveWindowFunctionQuerySuite.scala:35)
	at org.scalatest.BeforeAndAfter$class.run(BeforeAndAfter.scala:258)
	at org.apache.spark.sql.hive.execution.HiveWindowFunctionQuerySuite.run(HiveWindowFunctionQuerySuite.scala:35)
	at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:314)
	at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:480)
	at sbt.ForkMain$Run$2.call(ForkMain.java:296)
	at sbt.ForkMain$Run$2.call(ForkMain.java:286)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)