at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitStatementDefault(SqlBaseBaseVisitor.java:69)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$StatementDefaultContext.accept(SqlBaseParser.java:1904)
at org.antlr.v4.runtime.tree.AbstractParseTreeVisitor.visit(AbstractParseTreeVisitor.java:18)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitSingleStatement$1(AstBuilder.scala:77)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitSingleStatement(AstBuilder.scala:77)
at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.$anonfun$parsePlan$1(ParseDriver.scala:82)
at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:116)
at org.apache.spark.sql.execution.SparkSqlParser.parse(SparkSqlParser.scala:49)
at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parsePlan(ParseDriver.scala:81)
at org.apache.spark.sql.SparkSession.$anonfun$sql$2(SparkSession.scala:604)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:604)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:601)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:286)
... 16 more
07:00:56.086 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13676.0 (TID 26078)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.negateExact(Math.java:977)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.negateExact(IntervalUtils.scala:412)
at org.apache.spark.sql.catalyst.util.IntervalUtils.negateExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:30)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
07:00:56.087 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13676.0 (TID 26078, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.negateExact(Math.java:977)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.negateExact(IntervalUtils.scala:412)
at org.apache.spark.sql.catalyst.util.IntervalUtils.negateExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:30)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
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)
07:00:56.087 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13676.0 failed 1 times; aborting job
07:00:56.089 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with afd71d84-01e3-4c92-833e-71434230bac8, currentState RUNNING,
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13676.0 failed 1 times, most recent failure: Lost task 0.0 in stage 13676.0 (TID 26078, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.negateExact(Math.java:977)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.negateExact(IntervalUtils.scala:412)
at org.apache.spark.sql.catalyst.util.IntervalUtils.negateExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:30)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2117)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2066)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2065)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2065)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1021)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2297)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2246)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2235)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:823)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2108)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2129)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2148)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2173)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3667)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3658)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3656)
at org.apache.spark.sql.Dataset.collect(Dataset.scala:2940)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:295)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.negateExact(Math.java:977)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.negateExact(IntervalUtils.scala:412)
at org.apache.spark.sql.catalyst.util.IntervalUtils.negateExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:30)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.089 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:327)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.negateExact(Math.java:977)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.negateExact(IntervalUtils.scala:412)
at org.apache.spark.sql.catalyst.util.IntervalUtils.negateExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:30)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.128 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13677.0 (TID 26079)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.subtractExact(Math.java:829)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.subtractExact(IntervalUtils.scala:453)
at org.apache.spark.sql.catalyst.util.IntervalUtils.subtractExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
07:00:56.129 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13677.0 (TID 26079, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.subtractExact(Math.java:829)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.subtractExact(IntervalUtils.scala:453)
at org.apache.spark.sql.catalyst.util.IntervalUtils.subtractExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
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)
07:00:56.129 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13677.0 failed 1 times; aborting job
07:00:56.131 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with 3fbfa4b6-0b71-4ef9-a264-06e4b04c9f9a, currentState RUNNING,
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13677.0 failed 1 times, most recent failure: Lost task 0.0 in stage 13677.0 (TID 26079, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.subtractExact(Math.java:829)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.subtractExact(IntervalUtils.scala:453)
at org.apache.spark.sql.catalyst.util.IntervalUtils.subtractExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2117)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2066)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2065)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2065)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1021)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2297)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2246)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2235)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:823)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2108)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2129)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2148)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2173)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3667)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3658)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3656)
at org.apache.spark.sql.Dataset.collect(Dataset.scala:2940)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:295)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.subtractExact(Math.java:829)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.subtractExact(IntervalUtils.scala:453)
at org.apache.spark.sql.catalyst.util.IntervalUtils.subtractExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.131 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:327)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.subtractExact(Math.java:829)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.subtractExact(IntervalUtils.scala:453)
at org.apache.spark.sql.catalyst.util.IntervalUtils.subtractExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.168 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13678.0 (TID 26080)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.addExact(Math.java:790)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.addExact(IntervalUtils.scala:431)
at org.apache.spark.sql.catalyst.util.IntervalUtils.addExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
07:00:56.169 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13678.0 (TID 26080, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.addExact(Math.java:790)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.addExact(IntervalUtils.scala:431)
at org.apache.spark.sql.catalyst.util.IntervalUtils.addExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
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)
07:00:56.170 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13678.0 failed 1 times; aborting job
07:00:56.171 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with e85ee152-2c6b-443f-bca3-394ff97830c5, currentState RUNNING,
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13678.0 failed 1 times, most recent failure: Lost task 0.0 in stage 13678.0 (TID 26080, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.addExact(Math.java:790)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.addExact(IntervalUtils.scala:431)
at org.apache.spark.sql.catalyst.util.IntervalUtils.addExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2117)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2066)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2065)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2065)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1021)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2297)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2246)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2235)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:823)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2108)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2129)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2148)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2173)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3667)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3658)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3656)
at org.apache.spark.sql.Dataset.collect(Dataset.scala:2940)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:295)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.addExact(Math.java:790)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.addExact(IntervalUtils.scala:431)
at org.apache.spark.sql.catalyst.util.IntervalUtils.addExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.172 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:327)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.addExact(Math.java:790)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.addExact(IntervalUtils.scala:431)
at org.apache.spark.sql.catalyst.util.IntervalUtils.addExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.215 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13679.0 (TID 26081)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.multiplyExact(IntervalUtils.scala:482)
at org.apache.spark.sql.catalyst.util.IntervalUtils.multiplyExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
07:00:56.216 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13679.0 (TID 26081, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.multiplyExact(IntervalUtils.scala:482)
at org.apache.spark.sql.catalyst.util.IntervalUtils.multiplyExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
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)
07:00:56.217 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13679.0 failed 1 times; aborting job
07:00:56.220 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with ffa9a213-bc8b-4713-9d0f-c2c6b074bc3f, currentState RUNNING,
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13679.0 failed 1 times, most recent failure: Lost task 0.0 in stage 13679.0 (TID 26081, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.multiplyExact(IntervalUtils.scala:482)
at org.apache.spark.sql.catalyst.util.IntervalUtils.multiplyExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2117)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2066)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2065)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2065)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1021)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2297)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2246)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2235)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:823)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2108)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2129)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2148)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2173)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3667)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3658)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3656)
at org.apache.spark.sql.Dataset.collect(Dataset.scala:2940)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:295)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.multiplyExact(IntervalUtils.scala:482)
at org.apache.spark.sql.catalyst.util.IntervalUtils.multiplyExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.221 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:327)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.multiplyExact(IntervalUtils.scala:482)
at org.apache.spark.sql.catalyst.util.IntervalUtils.multiplyExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.286 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13680.0 (TID 26082)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.divideExact(IntervalUtils.scala:500)
at org.apache.spark.sql.catalyst.util.IntervalUtils.divideExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
07:00:56.288 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13680.0 (TID 26082, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.divideExact(IntervalUtils.scala:500)
at org.apache.spark.sql.catalyst.util.IntervalUtils.divideExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
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)
07:00:56.288 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13680.0 failed 1 times; aborting job
07:00:56.290 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with b24fdcb6-9676-4ff8-8a2a-d6ffd622121d, currentState RUNNING,
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13680.0 failed 1 times, most recent failure: Lost task 0.0 in stage 13680.0 (TID 26082, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.divideExact(IntervalUtils.scala:500)
at org.apache.spark.sql.catalyst.util.IntervalUtils.divideExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2117)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2066)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2065)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2065)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1021)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1021)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2297)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2246)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2235)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:823)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2108)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2129)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2148)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2173)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3667)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3658)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3656)
at org.apache.spark.sql.Dataset.collect(Dataset.scala:2940)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:295)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.divideExact(IntervalUtils.scala:500)
at org.apache.spark.sql.catalyst.util.IntervalUtils.divideExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.290 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:327)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:222)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:46)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:222)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:217)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.divideExact(IntervalUtils.scala:500)
at org.apache.spark.sql.catalyst.util.IntervalUtils.divideExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
07:00:56.441 ERROR org.apache.thrift.server.TThreadPoolServer: Thrift error occurred during processing of message.
org.apache.thrift.transport.TTransportException
at org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at org.apache.thrift.transport.TSaslTransport.readLength(TSaslTransport.java:374)
at org.apache.thrift.transport.TSaslTransport.readFrame(TSaslTransport.java:451)
at org.apache.thrift.transport.TSaslTransport.read(TSaslTransport.java:433)
at org.apache.thrift.transport.TSaslServerTransport.read(TSaslServerTransport.java:43)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:425)
at org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:321)
at org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:225)
at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:27)
at org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:53)
at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:310)
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)
[info] - ansi/interval.sql (2 seconds, 714 milliseconds)
[info] - ansi/literals.sql !!! IGNORED !!!
07:00:56.525 ERROR org.apache.thrift.server.TThreadPoolServer: Thrift error occurred during processing of message.
org.apache.thrift.transport.TTransportException
at org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at org.apache.thrift.transport.TSaslTransport.readLength(TSaslTransport.java:374)
at org.apache.thrift.transport.TSaslTransport.readFrame(TSaslTransport.java:451)
at org.apache.thrift.transport.TSaslTransport.read(TSaslTransport.java:433)
at org.apache.thrift.transport.TSaslServerTransport.read(TSaslServerTransport.java:43)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:425)
at org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:321)
at org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:225)
at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:27)
at org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:53)
at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:310)
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)
[info] - Check if ThriftServer can work (82 milliseconds)
07:00:56.667 WARN org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite:
=== Metrics of Analyzer/Optimizer Rules ===
Total number of runs: 5430697
Total time: 183.824394879 seconds
Rule Effective Time / Total Time Effective Runs / Total Runs
org.apache.spark.sql.catalyst.optimizer.Optimizer$OptimizeSubqueries 21432876352 / 27192229611 604 / 20769
org.apache.spark.sql.catalyst.optimizer.ColumnPruning 2066685711 / 9545200194 4168 / 48783
org.apache.spark.sql.execution.datasources.FindDataSourceTable 6658857136 / 6833883688 2486 / 55819
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery 3366581141 / 3977331270 687 / 55857
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences 2271932600 / 3705047305 6900 / 55907
org.apache.spark.sql.catalyst.optimizer.PushDownPredicates 556230035 / 2764046871 1893 / 38528
org.apache.spark.sql.catalyst.optimizer.PruneFilters 18665897 / 2719698614 144 / 38314
org.apache.spark.sql.catalyst.optimizer.RemoveNoopOperators 194531312 / 2652415904 1791 / 48614
org.apache.spark.sql.catalyst.optimizer.LikeSimplification 12391663 / 2528301244 20 / 28014
org.apache.spark.sql.catalyst.optimizer.ConstantFolding 966434979 / 2466215455 3305 / 28014
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAggregateFunctions 951924079 / 2377936572 253 / 55840
org.apache.spark.sql.catalyst.optimizer.CollapseProject 750120066 / 2280638431 5063 / 38483
org.apache.spark.sql.catalyst.optimizer.SimplifyCasts 2963103 / 1970131958 20 / 28014
org.apache.spark.sql.catalyst.optimizer.NullPropagation 52173936 / 1967907292 361 / 28183
org.apache.spark.sql.catalyst.optimizer.RemoveDispensableExpressions 711045 / 1965596656 6 / 28014
org.apache.spark.sql.catalyst.optimizer.CombineUnions 7535660 / 1964476953 35 / 38652
org.apache.spark.sql.catalyst.optimizer.BooleanSimplification 12595656 / 1952381657 61 / 28014
org.apache.spark.sql.catalyst.optimizer.ReorderAssociativeOperator 0 / 1811956117 0 / 28014
org.apache.spark.sql.catalyst.optimizer.SimplifyConditionals 11657902 / 1769739947 156 / 28014
org.apache.spark.sql.catalyst.optimizer.OptimizeIn 809524 / 1759448234 4 / 28183
org.apache.spark.sql.catalyst.optimizer.SimplifyBinaryComparison 2273088 / 1695274079 15 / 28014
org.apache.spark.sql.catalyst.optimizer.SimplifyExtractValueOps 358909 / 1694285077 3 / 28014
org.apache.spark.sql.catalyst.optimizer.SimplifyCaseConversionExpressions 0 / 1685065942 0 / 28014
org.apache.spark.sql.catalyst.optimizer.ReplaceNullWithFalseInPredicate 500597 / 1651114100 9 / 28014
org.apache.spark.sql.catalyst.optimizer.EliminateOuterJoin 133994778 / 1645960689 174 / 28183
org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion 15313952 / 1552681348 32 / 28183
org.apache.spark.sql.catalyst.optimizer.ReorderJoin 18401402 / 1534258218 30 / 28183
org.apache.spark.sql.catalyst.optimizer.PushDownLeftSemiAntiJoin 65258029 / 1529918763 151 / 28183
org.apache.spark.sql.catalyst.optimizer.CollapseRepartition 0 / 1525691395 0 / 28183
org.apache.spark.sql.catalyst.optimizer.EliminateResolvedHint 0 / 1522116098 0 / 10469
org.apache.spark.sql.catalyst.optimizer.PushLeftSemiLeftAntiThroughJoin 231892 / 1520141860 1 / 28183
org.apache.spark.sql.catalyst.optimizer.RewriteCorrelatedScalarSubquery 5373324 / 1519106744 5 / 28014
org.apache.spark.sql.catalyst.analysis.CTESubstitution 33065712 / 1485953042 104 / 23832
org.apache.spark.sql.catalyst.optimizer.InferFiltersFromConstraints 678096079 / 1472797692 1184 / 10300
org.apache.spark.sql.catalyst.optimizer.ConstantPropagation 826900 / 1460025694 3 / 28183
org.apache.spark.sql.catalyst.optimizer.LimitPushDown 0 / 1422886520 0 / 28183
org.apache.spark.sql.catalyst.optimizer.CollapseWindow 0 / 1422415561 0 / 28183
org.apache.spark.sql.catalyst.optimizer.TransposeWindow 0 / 1421805673 0 / 28183
org.apache.spark.sql.catalyst.optimizer.CombineFilters 0 / 1406038489 0 / 28183
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations 1046551899 / 1398881568 8703 / 55962
org.apache.spark.sql.catalyst.optimizer.CombineLimits 0 / 1384516029 0 / 28183
org.apache.spark.sql.catalyst.optimizer.FoldablePropagation 64567838 / 1380223800 163 / 28183
org.apache.spark.sql.catalyst.optimizer.EliminateSerialization 0 / 1375878307 0 / 28014
org.apache.spark.sql.catalyst.analysis.ResolveSessionCatalog 502187969 / 1364836570 1441 / 55815
org.apache.spark.sql.catalyst.optimizer.NormalizeFloatingNumbers 61067426 / 1315151300 39 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts 321452311 / 1312151113 1164 / 55828
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions 614451431 / 1293960494 3660 / 55857
org.apache.spark.sql.catalyst.optimizer.GetCurrentDatabaseAndCatalog 471608 / 1285972216 1 / 10469
org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator 6555685 / 1260304132 8 / 55890
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer 750631931 / 1252947284 9029 / 55907
org.apache.spark.sql.catalyst.analysis.DecimalPrecision 178875257 / 1175377146 1184 / 55828
org.apache.spark.sql.catalyst.optimizer.PropagateEmptyRelation 7821740 / 1074866489 59 / 20828
org.apache.spark.sql.catalyst.analysis.TypeCoercion$PromoteStrings 119223510 / 1022437083 757 / 55828
org.apache.spark.sql.catalyst.optimizer.RemoveRedundantAliases 17132979 / 979608233 97 / 28014
org.apache.spark.sql.execution.datasources.SchemaPruning 12981091 / 964597046 5 / 10300
org.apache.spark.sql.catalyst.analysis.UpdateAttributeNullability 28418751 / 946020371 114 / 23360
org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions 0 / 944926091 0 / 23520
org.apache.spark.sql.catalyst.analysis.ResolveTimeZone 510006826 / 942744803 7601 / 55828
org.apache.spark.sql.catalyst.analysis.EliminateSubqueryAliases 782286050 / 930434900 5807 / 10469
org.apache.spark.sql.catalyst.analysis.TypeCoercion$FunctionArgumentConversion 148102169 / 920124524 388 / 55828
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAliases 502554018 / 896035972 4833 / 55857
org.apache.spark.sql.catalyst.optimizer.ComputeCurrentTime 2867668 / 864462518 7 / 10469
org.apache.spark.sql.catalyst.optimizer.ReplaceExpressions 41762743 / 860761886 376 / 10469
org.apache.spark.sql.catalyst.optimizer.EliminateMapObjects 0 / 858892056 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$InConversion 39626905 / 848083064 131 / 55828
org.apache.spark.sql.execution.datasources.v2.V2ScanRelationPushDown 0 / 842916165 0 / 10300
org.apache.spark.sql.catalyst.optimizer.PullupCorrelatedPredicates 194095090 / 829373242 263 / 10469
org.apache.spark.sql.execution.dynamicpruning.PartitionPruning 0 / 813846395 0 / 10300
org.apache.spark.sql.catalyst.optimizer.RewriteNonCorrelatedExists 10322002 / 774605092 63 / 10469
org.apache.spark.sql.catalyst.analysis.TimeWindowing 0 / 724511114 0 / 55840
org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter 19874643 / 724032448 21 / 10741
org.apache.spark.sql.catalyst.analysis.TypeCoercion$DateTimeOperations 6443802 / 719459315 64 / 55828
org.apache.spark.sql.execution.dynamicpruning.CleanupDynamicPruningFilters 0 / 710691478 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$IfCoercion 14764930 / 695666820 65 / 55828
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveBinaryArithmetic 23992630 / 692105580 182 / 55828
org.apache.spark.sql.execution.python.ExtractPythonUDFs 0 / 683786277 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$BooleanEquality 4233097 / 682218530 68 / 55828
org.apache.spark.sql.catalyst.analysis.ResolveCreateNamedStruct 6224486 / 673475923 37 / 55907
org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions 13095697 / 672760048 2 / 10300
org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates 25881377 / 668705940 8 / 10469
org.apache.spark.sql.catalyst.optimizer.ReassignLambdaVariableID 0 / 666437304 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$StringLiteralCoercion 3011019 / 651548811 6 / 55819
org.apache.spark.sql.catalyst.analysis.TypeCoercion$Division 15332342 / 625814937 93 / 55828
org.apache.spark.sql.catalyst.expressions.codegen.package$ExpressionCanonicalizer$CleanExpressions 15433277 / 621916835 4992 / 143389
org.apache.spark.sql.catalyst.optimizer.RewriteIntersectAll 12171917 / 618806053 16 / 10741
org.apache.spark.sql.catalyst.optimizer.RewritePredicateSubquery 179015932 / 609458422 547 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$IntegralDivision 619005 / 600750540 4 / 55828
org.apache.spark.sql.catalyst.optimizer.RewriteExceptAll 10374240 / 597537100 23 / 10741
org.apache.spark.sql.catalyst.optimizer.ReplaceIntersectWithSemiJoin 13569463 / 596754735 51 / 10741
org.apache.spark.sql.catalyst.analysis.EliminateView 3221699 / 595121554 4 / 10469
org.apache.spark.sql.catalyst.optimizer.PushCNFPredicateThroughJoin 9337502 / 591560792 38 / 10300
org.apache.spark.sql.catalyst.optimizer.ReplaceDistinctWithAggregate 46482137 / 591033411 245 / 10741
org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithAntiJoin 10515484 / 590599077 29 / 10741
org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractWindowExpressions 166056142 / 583700539 424 / 55840
org.apache.spark.sql.catalyst.optimizer.DecimalAggregates 3222494 / 570856020 6 / 10306
org.apache.spark.sql.catalyst.analysis.ResolveHigherOrderFunctions 17671026 / 567251339 121 / 55828
org.apache.spark.sql.catalyst.analysis.TypeCoercion$ConcatCoercion 5280817 / 566153439 20 / 55828
org.apache.spark.sql.catalyst.optimizer.RemoveRepetitionFromGroupExpressions 3463211 / 563508496 27 / 10518
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveMissingReferences 15646430 / 561030539 32 / 55890
org.apache.spark.sql.catalyst.optimizer.ReplaceDeduplicateWithAggregate 0 / 560434392 0 / 10469
org.apache.spark.sql.execution.python.ExtractPythonUDFFromAggregate 0 / 560051683 0 / 10300
org.apache.spark.sql.catalyst.optimizer.RemoveLiteralFromGroupExpressions 1661813 / 553078837 22 / 10518
org.apache.spark.sql.catalyst.optimizer.OptimizeLimitZero 842277 / 550918943 3 / 10469
org.apache.spark.sql.catalyst.analysis.TypeCoercion$EltCoercion 2504992 / 546102133 3 / 55828
org.apache.spark.sql.catalyst.optimizer.EliminateSorts 4346076 / 544408779 28 / 10300
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRandomSeed 481320 / 540239715 2 / 55828
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowFrame 16079100 / 532707728 170 / 55852
org.apache.spark.sql.catalyst.optimizer.PushPredicateThroughNonJoin 0 / 528475915 0 / 10300
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowOrder 7000219 / 521903157 24 / 55852
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveGroupingAnalytics 163200722 / 514780983 89 / 55903
org.apache.spark.sql.catalyst.optimizer.ExtractPythonUDFFromJoinCondition 0 / 503731837 0 / 10300
org.apache.spark.sql.execution.python.ExtractGroupingPythonUDFFromAggregate 0 / 498369731 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$CaseWhenCoercion 21459370 / 496843876 71 / 55828
org.apache.spark.sql.catalyst.analysis.TypeCoercion$WindowFrameCoercion 18146654 / 492084475 81 / 55828
org.apache.spark.sql.catalyst.analysis.ResolveLambdaVariables 41943372 / 491478866 123 / 55828
org.apache.spark.sql.catalyst.analysis.ResolveInlineTables 282734208 / 478106356 1644 / 55832
org.apache.spark.sql.catalyst.optimizer.ObjectSerializerPruning 0 / 475541777 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$MapZipWithCoercion 8938454 / 472594998 13 / 55828
org.apache.spark.sql.catalyst.analysis.TypeCoercion$StackCoercion 0 / 455125400 0 / 55828
org.apache.spark.sql.catalyst.analysis.CleanupAliases 193687773 / 451505969 6952 / 30312
org.apache.spark.sql.catalyst.analysis.ResolveHints$ResolveJoinStrategyHints 0 / 449565775 0 / 23527
org.apache.spark.sql.catalyst.optimizer.CombineTypedFilters 0 / 448947440 0 / 10300
org.apache.spark.sql.catalyst.analysis.Analyzer$GlobalAggregates 10660618 / 434401478 450 / 55840
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNewInstance 0 / 419122509 0 / 55907
org.apache.spark.sql.catalyst.analysis.ResolveCatalogs 38172215 / 410261485 252 / 55962
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveTables 0 / 357494073 0 / 55962
org.apache.spark.sql.catalyst.analysis.Analyzer$PullOutNondeterministic 5494630 / 341354311 2 / 23360
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveUpCast 0 / 332249640 0 / 55907
org.apache.spark.sql.execution.analysis.DetectAmbiguousSelfJoin 0 / 301967524 0 / 23361
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveOrdinalInOrderByAndGroupBy 7631146 / 282696559 143 / 55890
org.apache.spark.sql.catalyst.analysis.Analyzer$HandleNullInputsForUDF 0 / 272750370 0 / 23360
org.apache.spark.sql.catalyst.analysis.TypeCoercion$WidenSetOperationTypes 37785098 / 265668421 106 / 55828
org.apache.spark.sql.catalyst.analysis.ResolveTableValuedFunctions 34799196 / 242401052 133 / 55962
org.apache.spark.sql.execution.datasources.PreprocessTableInsertion 148267362 / 238636650 867 / 23360
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolvePivot 39360628 / 236491626 21 / 55897
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNaturalAndUsingJoin 58160283 / 235305029 312 / 55852
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveEncodersInUDF 0 / 233468772 0 / 23360
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAggAliasInGroupBy 2389373 / 224977816 15 / 55890
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubqueryColumnAliases 22558755 / 209962043 600 / 55855
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveGenerate 1631666 / 209241482 3 / 55890
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNamespace 4186531 / 198354590 25 / 55962
org.apache.spark.sql.execution.datasources.ResolveSQLOnFile 0 / 190218406 0 / 55819
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveOutputRelation 0 / 186374370 0 / 55852
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveInsertInto 0 / 178168458 0 / 55962
org.apache.spark.sql.execution.datasources.FallBackFileSourceV2 0 / 173313900 0 / 55819
org.apache.spark.sql.execution.datasources.PreprocessTableCreation 299554 / 169789238 1 / 23361
org.apache.spark.sql.catalyst.analysis.ResolveHints$ResolveCoalesceHints 165666 / 152712443 1 / 23527
org.apache.spark.sql.execution.datasources.DataSourceAnalysis 55400357 / 149413112 1067 / 23360
org.apache.spark.sql.catalyst.analysis.SubstituteUnresolvedOrdinals 13111187 / 121999609 152 / 23832
org.apache.spark.sql.catalyst.optimizer.CombineConcats 1507011 / 116646272 7 / 28014
org.apache.spark.sql.catalyst.analysis.UpdateOuterReferences 5522220 / 114616120 9 / 23360
org.apache.spark.sql.catalyst.analysis.Analyzer$WindowsSubstitution 13189279 / 106731301 78 / 23832
org.apache.spark.sql.catalyst.analysis.EliminateUnions 0 / 94615379 0 / 23832
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAlterTableChanges 0 / 93177285 0 / 23360
org.apache.spark.sql.catalyst.optimizer.CheckCartesianProducts 0 / 83183894 0 / 20600
org.apache.spark.sql.catalyst.analysis.ResolveHints$RemoveAllHints 0 / 82561223 0 / 23360
org.apache.spark.sql.catalyst.optimizer.EliminateDistinct 0 / 81667919 0 / 10469
org.apache.spark.sql.execution.OptimizeMetadataOnlyQuery 0 / 56634168 0 / 10300
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder 0 / 54457325 0 / 10300
07:00:56.667 WARN org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite:
=== Metrics of Whole-stage Codegen ===
Total code generation time: 34.767007009 seconds
Total compile time: 59.474663827 seconds
07:00:56.902 WARN org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite:
===== POSSIBLE THREAD LEAK IN SUITE o.a.s.sql.hive.thriftserver.ThriftServerQueryTestSuite, thread names: rpc-boss-3-1, subquery-43, derby.rawStoreDaemon, com.google.common.base.internal.Finalizer, subquery-42, Timer-3, subquery-41, BoneCP-keep-alive-scheduler, shuffle-boss-6-1, BoneCP-pool-watch-thread =====
[info] - SPARK-28840 test --jars command (23 seconds, 262 milliseconds)
[info] - SPARK-28840 test --jars and hive.aux.jars.path command (24 seconds, 674 milliseconds)
[info] - SPARK-29022 Commands using SerDe provided in ADD JAR sql (26 seconds, 842 milliseconds)
[info] - SPARK-26321 Should not split semicolon within quoted string literals (20 seconds, 646 milliseconds)
[info] - Pad Decimal numbers with trailing zeros to the scale of the column (21 seconds, 561 milliseconds)
[info] - SPARK-30049 Should not complain for quotes in commented lines (20 seconds, 589 milliseconds)
[info] - SPARK-31102 spark-sql fails to parse when contains comment (20 seconds, 354 milliseconds)
[info] - SPARK-30049 Should not complain for quotes in commented with multi-lines (21 seconds, 471 milliseconds)
[info] - SPARK-31595 Should allow unescaped quote mark in quoted string (39 seconds, 339 milliseconds)
[info] - AnalysisException with root cause will be printStacktrace (30 seconds, 471 milliseconds)
[info] - SPARK-30808: use Java 8 time API in Thrift SQL CLI by default (18 seconds, 396 milliseconds)
[info] HiveSessionImplSuite:
[info] org.apache.spark.sql.hive.thriftserver.HiveSessionImplSuite *** ABORTED *** (675 milliseconds)
[info] org.mockito.exceptions.base.MockitoException: ClassCastException occurred while creating the mockito mock :
[info] class to mock : 'org.apache.hive.service.cli.session.SessionManager', loaded by classloader : 'sun.misc.Launcher$AppClassLoader@2d6d8735'
[info] created class : 'org.mockito.codegen.SessionManager$MockitoMock$1350255146', loaded by classloader : 'net.bytebuddy.dynamic.loading.MultipleParentClassLoader@78ded1c6'
[info] proxy instance class : 'org.mockito.codegen.SessionManager$MockitoMock$1350255146', loaded by classloader : 'net.bytebuddy.dynamic.loading.MultipleParentClassLoader@78ded1c6'
[info] instance creation by : ObjenesisInstantiator
[info]
[info] You might experience classloading issues, please ask the mockito mailing-list.
[info] at org.apache.spark.sql.hive.thriftserver.HiveSessionImplSuite.beforeAll(HiveSessionImplSuite.scala:44)
[info] at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:212)
[info] at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
[info] at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
[info] at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:59)
[info] at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:317)
[info] at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:510)
[info] at sbt.ForkMain$Run$2.call(ForkMain.java:296)
[info] at sbt.ForkMain$Run$2.call(ForkMain.java:286)
[info] at java.util.concurrent.FutureTask.run(FutureTask.java:266)
[info] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
[info] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
[info] at java.lang.Thread.run(Thread.java:748)
[info] Cause: java.lang.ClassCastException: org.mockito.codegen.SessionManager$MockitoMock$1350255146 cannot be cast to org.mockito.internal.creation.bytebuddy.MockAccess
[info] at org.mockito.internal.creation.bytebuddy.SubclassByteBuddyMockMaker.createMock(SubclassByteBuddyMockMaker.java:48)
[info] at org.mockito.internal.creation.bytebuddy.ByteBuddyMockMaker.createMock(ByteBuddyMockMaker.java:25)
[info] at org.mockito.internal.util.MockUtil.createMock(MockUtil.java:35)
[info] at org.mockito.internal.MockitoCore.mock(MockitoCore.java:63)
[info] at org.mockito.Mockito.mock(Mockito.java:1908)
[info] at org.mockito.Mockito.mock(Mockito.java:1817)
[info] at org.apache.spark.sql.hive.thriftserver.HiveSessionImplSuite.beforeAll(HiveSessionImplSuite.scala:44)
[info] at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:212)
[info] at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
[info] at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
[info] at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:59)
[info] at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:317)
[info] at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:510)
[info] at sbt.ForkMain$Run$2.call(ForkMain.java:296)
[info] at sbt.ForkMain$Run$2.call(ForkMain.java:286)
[info] at java.util.concurrent.FutureTask.run(FutureTask.java:266)
[info] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
[info] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
[info] at java.lang.Thread.run(Thread.java:748)
[info] HiveCliSessionStateSuite:
07:05:20.930 WARN org.apache.hadoop.hive.metastore.ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 2.3.0
07:05:20.930 WARN org.apache.hadoop.hive.metastore.ObjectStore: setMetaStoreSchemaVersion called but recording version is disabled: version = 2.3.0, comment = Set by MetaStore jenkins@192.168.10.24
07:05:20.938 WARN org.apache.hadoop.hive.metastore.ObjectStore: Failed to get database default, returning NoSuchObjectException
[info] - CliSessionState will be reused (5 seconds, 95 milliseconds)
07:05:23.033 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.jdbc.timeout does not exist
07:05:23.033 WARN org.apache.hadoop.hive.conf.HiveConf: HiveConf of name hive.stats.retries.wait does not exist
07:05:27.986 WARN org.apache.hadoop.hive.metastore.ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 2.3.0
07:05:27.986 WARN org.apache.hadoop.hive.metastore.ObjectStore: setMetaStoreSchemaVersion called but recording version is disabled: version = 2.3.0, comment = Set by MetaStore jenkins@192.168.10.24
07:05:28.006 WARN org.apache.hadoop.hive.metastore.ObjectStore: Failed to get database default, returning NoSuchObjectException
[info] - SessionState will not be reused (7 seconds, 206 milliseconds)
07:05:28.620 WARN org.apache.spark.sql.hive.thriftserver.HiveCliSessionStateSuite:
===== POSSIBLE THREAD LEAK IN SUITE o.a.s.sql.hive.thriftserver.HiveCliSessionStateSuite, thread names: derby.rawStoreDaemon, com.google.common.base.internal.Finalizer, Timer-8, BoneCP-keep-alive-scheduler, BoneCP-pool-watch-thread, Timer-9 =====
[info] JdbcConnectionUriSuite:
[info] - SPARK-17819 Support default database in connection URIs (2 seconds, 171 milliseconds)
[info] ScalaTest
[info] Run completed in 24 minutes, 49 seconds.
[info] Total number of tests run: 447
[info] Suites: completed 16, aborted 3
[info] Tests: succeeded 447, failed 0, canceled 0, ignored 17, pending 0
[info] *** 3 SUITES ABORTED ***
[error] Error: Total 450, Failed 0, Errors 3, Passed 447, Ignored 17
[error] Error during tests:
[error] org.apache.spark.sql.hive.thriftserver.HiveSessionImplSuite
[error] org.apache.spark.sql.hive.thriftserver.ThriftServerWithSparkContextInHttpSuite
[error] org.apache.spark.sql.hive.thriftserver.ThriftServerWithSparkContextInBinarySuite
[error] (hive-thriftserver/test:test) sbt.TestsFailedException: Tests unsuccessful
[error] Total time: 1499 s, completed Jul 1, 2020 7:06:25 AM
[error] running /home/jenkins/workspace/NewSparkPullRequestBuilder/build/sbt -Phadoop-3.2 -Phive-2.3 -Phive -Phive-thriftserver -Dtest.exclude.tags=org.apache.spark.tags.ExtendedHiveTest,org.apache.spark.tags.ExtendedYarnTest sql/test sql-kafka-0-10/test hive/test catalyst/test mllib/test repl/test avro/test examples/test hive-thriftserver/test ; received return code 1
Attempting to post to Github...
> Post successful.
Build step 'Execute shell' marked build as failure
Archiving artifacts
Recording test results
Finished: FAILURE
![[Jenkins]](/jenkins/static/02af5841/images/jenkins-header-logo-v2.svg){kind=logo}
Console Output