org.scalatest.exceptions.TestFailedException: Failed to execute query using catalyst: Error: execute, tree: Exchange hashpartitioning(p_mfgr#154002, 5) +- Scan hive default.part [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008] org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree: Exchange hashpartitioning(p_mfgr#154002, 5) +- Scan hive default.part [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008] at org.apache.spark.sql.catalyst.errors.package$.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: 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.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 select p_mfgr, p_name, p_size, 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, sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row) as s1 from part == Parsed Logical Plan == 'Project ['p_mfgr, 'p_name, 'p_size, 'rank() windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$()) AS r#153993, 'dense_rank() windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$()) AS dr#153994, 'sum('p_retailprice) windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS s1#153995] +- 'UnresolvedRelation `part` == Analyzed Logical Plan == p_mfgr: string, p_name: string, p_size: int, r: int, dr: int, s1: double Project [p_mfgr#154002, p_name#154001, p_size#154005, r#153993, dr#153994, s1#153995] +- Project [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007, r#153993, dr#153994, s1#153995, r#153993, dr#153994, s1#153995] +- Window [rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153993, dense_rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153994, sum(p_retailprice#154007) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS s1#153995], [p_mfgr#154002], [p_name#154001 ASC NULLS FIRST] +- Project [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007] +- SubqueryAlias `default`.`part` +- HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008] == Optimized Logical Plan == Project [p_mfgr#154002, p_name#154001, p_size#154005, r#153993, dr#153994, s1#153995] +- Window [rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153993, dense_rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153994, sum(p_retailprice#154007) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS s1#153995], [p_mfgr#154002], [p_name#154001 ASC NULLS FIRST] +- Project [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007] +- HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008] == Physical Plan == *(2) Project [p_mfgr#154002, p_name#154001, p_size#154005, r#153993, dr#153994, s1#153995] +- Window [rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153993, dense_rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153994, sum(p_retailprice#154007) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS s1#153995], [p_mfgr#154002], [p_name#154001 ASC NULLS FIRST] +- *(1) Sort [p_mfgr#154002 ASC NULLS FIRST, p_name#154001 ASC NULLS FIRST], false, 0 +- Exchange hashpartitioning(p_mfgr#154002, 5) +- Scan hive default.part [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008] == HIVE - 26 row(s) == Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66

sbt.ForkMain$ForkError: org.scalatest.exceptions.TestFailedException: 
Failed to execute query using catalyst:
Error: execute, tree:
Exchange hashpartitioning(p_mfgr#154002, 5)
+- Scan hive default.part [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008]

org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
Exchange hashpartitioning(p_mfgr#154002, 5)
+- Scan hive default.part [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008]

	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: 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$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:92)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$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

select p_mfgr, p_name, p_size,
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,
sum(p_retailprice) over (distribute by p_mfgr sort by p_name
                        rows between unbounded preceding and current row) as s1
from part
== Parsed Logical Plan ==
'Project ['p_mfgr, 'p_name, 'p_size, 'rank() windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$()) AS r#153993, 'dense_rank() windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, unspecifiedframe$()) AS dr#153994, 'sum('p_retailprice) windowspecdefinition('p_mfgr, 'p_name ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS s1#153995]
+- 'UnresolvedRelation `part`

== Analyzed Logical Plan ==
p_mfgr: string, p_name: string, p_size: int, r: int, dr: int, s1: double
Project [p_mfgr#154002, p_name#154001, p_size#154005, r#153993, dr#153994, s1#153995]
+- Project [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007, r#153993, dr#153994, s1#153995, r#153993, dr#153994, s1#153995]
   +- Window [rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153993, dense_rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153994, sum(p_retailprice#154007) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS s1#153995], [p_mfgr#154002], [p_name#154001 ASC NULLS FIRST]
      +- Project [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007]
         +- SubqueryAlias `default`.`part`
            +- HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008]

== Optimized Logical Plan ==
Project [p_mfgr#154002, p_name#154001, p_size#154005, r#153993, dr#153994, s1#153995]
+- Window [rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153993, dense_rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153994, sum(p_retailprice#154007) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS s1#153995], [p_mfgr#154002], [p_name#154001 ASC NULLS FIRST]
   +- Project [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007]
      +- HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008]

== Physical Plan ==
*(2) Project [p_mfgr#154002, p_name#154001, p_size#154005, r#153993, dr#153994, s1#153995]
+- Window [rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS r#153993, dense_rank(p_name#154001) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS dr#153994, sum(p_retailprice#154007) windowspecdefinition(p_mfgr#154002, p_name#154001 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS s1#153995], [p_mfgr#154002], [p_name#154001 ASC NULLS FIRST]
   +- *(1) Sort [p_mfgr#154002 ASC NULLS FIRST, p_name#154001 ASC NULLS FIRST], false, 0
      +- Exchange hashpartitioning(p_mfgr#154002, 5)
         +- Scan hive default.part [p_mfgr#154002, p_name#154001, p_size#154005, p_retailprice#154007], HiveTableRelation `default`.`part`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [p_partkey#154000, p_name#154001, p_mfgr#154002, p_brand#154003, p_type#154004, p_size#154005, p_container#154006, p_retailprice#154007, p_comment#154008]
== HIVE - 26 row(s) ==
Manufacturer#1	almond antique burnished rose metallic	2	1	1	1173.15
Manufacturer#1	almond antique burnished rose metallic	2	1	1	2346.3
Manufacturer#1	almond antique chartreuse lavender yellow	34	3	2	4100.06
Manufacturer#1	almond antique salmon chartreuse burlywood	6	4	3	5702.650000000001
Manufacturer#1	almond aquamarine burnished black steel	28	5	4	7117.070000000001
Manufacturer#1	almond aquamarine pink moccasin thistle	42	6	5	8749.730000000001
Manufacturer#2	almond antique violet chocolate turquoise	14	1	1	1690.68
Manufacturer#2	almond antique violet turquoise frosted	40	2	2	3491.38
Manufacturer#2	almond aquamarine midnight light salmon	2	3	3	5523.360000000001
Manufacturer#2	almond aquamarine rose maroon antique	25	4	4	7222.02
Manufacturer#2	almond aquamarine sandy cyan gainsboro	18	5	5	8923.62
Manufacturer#3	almond antique chartreuse khaki white	17	1	1	1671.68
Manufacturer#3	almond antique forest lavender goldenrod	14	2	2	2861.95
Manufacturer#3	almond antique metallic orange dim	19	3	3	4272.34
Manufacturer#3	almond antique misty red olive	1	4	4	6195.32
Manufacturer#3	almond antique olive coral navajo	45	5	5	7532.61
Manufacturer#4	almond antique gainsboro frosted violet	10	1	1	1620.67
Manufacturer#4	almond antique violet mint lemon	39	2	2	2996.09
Manufacturer#4	almond aquamarine floral ivory bisque	27	3	3	4202.35
Manufacturer#4	almond aquamarine yellow dodger mint	7	4	4	6047.27
Manufacturer#4	almond azure aquamarine papaya violet	12	5	5	7337.620000000001
Manufacturer#5	almond antique blue firebrick mint	31	1	1	1789.69
Manufacturer#5	almond antique medium spring khaki	6	2	2	3401.3500000000004
Manufacturer#5	almond antique sky peru orange	2	3	3	5190.08
Manufacturer#5	almond aquamarine dodger light gainsboro	46	4	4	6208.18
Manufacturer#5	almond azure blanched chiffon midnight	23	5	5	7672.66
                
	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)