at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
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$$execute(SparkExecuteStatementOperation.scala:286)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$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$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.057 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: org.apache.spark.sql.catalyst.parser.ParseException:
Interval string does not match year-month format of 'y-m': - 2-2 (line 1, pos 16)
== SQL ==
select interval '-\t2-2\t' year to month
----------------^^^
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$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$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.sql.catalyst.parser.ParseException:
Interval string does not match year-month format of 'y-m': - 2-2 (line 1, pos 16)
== SQL ==
select interval '-\t2-2\t' year to month
----------------^^^
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromYearMonthString(IntervalUtils.scala:113)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitUnitToUnitInterval$1(AstBuilder.scala:2146)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitUnitToUnitInterval(AstBuilder.scala:2137)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitInterval$1(AstBuilder.scala:2099)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitInterval(AstBuilder.scala:2083)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitInterval(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$IntervalContext.accept(SqlBaseParser.java:16469)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitIntervalLiteral(SqlBaseBaseVisitor.java:1497)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$IntervalLiteralContext.accept(SqlBaseParser.java:16090)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitConstantDefault(SqlBaseBaseVisitor.java:1427)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ConstantDefaultContext.accept(SqlBaseParser.java:15100)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitValueExpressionDefault(SqlBaseBaseVisitor.java:1308)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ValueExpressionDefaultContext.accept(SqlBaseParser.java:14496)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.expression(AstBuilder.scala:1220)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitPredicated$1(AstBuilder.scala:1356)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitPredicated(AstBuilder.scala:1355)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitPredicated(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$PredicatedContext.accept(SqlBaseParser.java:13943)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitExpression(SqlBaseBaseVisitor.java:1266)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ExpressionContext.accept(SqlBaseParser.java:13868)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.expression(AstBuilder.scala:1220)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitNamedExpression$1(AstBuilder.scala:1242)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpression(AstBuilder.scala:1241)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpression(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$NamedExpressionContext.accept(SqlBaseParser.java:13472)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitNamedExpressionSeq$2(AstBuilder.scala:610)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.immutable.List.map(List.scala:298)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpressionSeq(AstBuilder.scala:610)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$withSelectQuerySpecification$1(AstBuilder.scala:702)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.withSelectQuerySpecification(AstBuilder.scala:695)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitRegularQuerySpecification$1(AstBuilder.scala:602)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitRegularQuerySpecification(AstBuilder.scala:590)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitRegularQuerySpecification(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$RegularQuerySpecificationContext.accept(SqlBaseParser.java:9405)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitQueryPrimaryDefault(SqlBaseBaseVisitor.java:804)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryPrimaryDefaultContext.accept(SqlBaseParser.java:8910)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitQueryTermDefault(SqlBaseBaseVisitor.java:790)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryTermDefaultContext.accept(SqlBaseParser.java:8679)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.plan(AstBuilder.scala:114)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitQuery$1(AstBuilder.scala:120)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitQuery(AstBuilder.scala:119)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitQuery(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryContext.accept(SqlBaseParser.java:6186)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitStatementDefault(SqlBaseBaseVisitor.java:69)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$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
22:35:50.105 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with 7fa34594-fc72-4df8-88c9-2e75ed39b3a1, currentState RUNNING,
org.apache.spark.sql.catalyst.parser.ParseException:
requirement failed: Interval string must match day-time format of '^(?<sign>[+|-])?(?<day>\d+) (?<hour>\d{1,2}):(?<minute>\d{1,2}):(?<second>(\d{1,2})(\.(\d{1,9}))?)$':
- 10 12:34:46.789 , set spark.sql.legacy.fromDayTimeString.enabled to true to restore the behavior before Spark 3.0.(line 1, pos 16)
== SQL ==
select interval '\n-\t10\t 12:34:46.789\t' day to second
----------------^^^
at scala.Predef$.require(Predef.scala:281)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.parseDayTime(IntervalUtils.scala:270)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDayTimeString(IntervalUtils.scala:139)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitUnitToUnitInterval$1(AstBuilder.scala:2152)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitUnitToUnitInterval(AstBuilder.scala:2137)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitInterval$1(AstBuilder.scala:2099)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitInterval(AstBuilder.scala:2083)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitInterval(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$IntervalContext.accept(SqlBaseParser.java:16469)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitIntervalLiteral(SqlBaseBaseVisitor.java:1497)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$IntervalLiteralContext.accept(SqlBaseParser.java:16090)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitConstantDefault(SqlBaseBaseVisitor.java:1427)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ConstantDefaultContext.accept(SqlBaseParser.java:15100)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitValueExpressionDefault(SqlBaseBaseVisitor.java:1308)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ValueExpressionDefaultContext.accept(SqlBaseParser.java:14496)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.expression(AstBuilder.scala:1220)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitPredicated$1(AstBuilder.scala:1356)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitPredicated(AstBuilder.scala:1355)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitPredicated(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$PredicatedContext.accept(SqlBaseParser.java:13943)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitExpression(SqlBaseBaseVisitor.java:1266)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ExpressionContext.accept(SqlBaseParser.java:13868)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.expression(AstBuilder.scala:1220)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitNamedExpression$1(AstBuilder.scala:1242)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpression(AstBuilder.scala:1241)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpression(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$NamedExpressionContext.accept(SqlBaseParser.java:13472)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitNamedExpressionSeq$2(AstBuilder.scala:610)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.immutable.List.map(List.scala:298)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpressionSeq(AstBuilder.scala:610)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$withSelectQuerySpecification$1(AstBuilder.scala:702)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.withSelectQuerySpecification(AstBuilder.scala:695)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitRegularQuerySpecification$1(AstBuilder.scala:602)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitRegularQuerySpecification(AstBuilder.scala:590)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitRegularQuerySpecification(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$RegularQuerySpecificationContext.accept(SqlBaseParser.java:9405)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitQueryPrimaryDefault(SqlBaseBaseVisitor.java:804)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryPrimaryDefaultContext.accept(SqlBaseParser.java:8910)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitQueryTermDefault(SqlBaseBaseVisitor.java:790)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryTermDefaultContext.accept(SqlBaseParser.java:8679)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.plan(AstBuilder.scala:114)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitQuery$1(AstBuilder.scala:120)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitQuery(AstBuilder.scala:119)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitQuery(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryContext.accept(SqlBaseParser.java:6186)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
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)
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$$anon$1.run(SparkExecuteStatementOperation.scala:233)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.106 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: org.apache.spark.sql.catalyst.parser.ParseException:
requirement failed: Interval string must match day-time format of '^(?<sign>[+|-])?(?<day>\d+) (?<hour>\d{1,2}):(?<minute>\d{1,2}):(?<second>(\d{1,2})(\.(\d{1,9}))?)$':
- 10 12:34:46.789 , set spark.sql.legacy.fromDayTimeString.enabled to true to restore the behavior before Spark 3.0.(line 1, pos 16)
== SQL ==
select interval '\n-\t10\t 12:34:46.789\t' day to second
----------------^^^
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$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: org.apache.spark.sql.catalyst.parser.ParseException:
requirement failed: Interval string must match day-time format of '^(?<sign>[+|-])?(?<day>\d+) (?<hour>\d{1,2}):(?<minute>\d{1,2}):(?<second>(\d{1,2})(\.(\d{1,9}))?)$':
- 10 12:34:46.789 , set spark.sql.legacy.fromDayTimeString.enabled to true to restore the behavior before Spark 3.0.(line 1, pos 16)
== SQL ==
select interval '\n-\t10\t 12:34:46.789\t' day to second
----------------^^^
at scala.Predef$.require(Predef.scala:281)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.parseDayTime(IntervalUtils.scala:270)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDayTimeString(IntervalUtils.scala:139)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitUnitToUnitInterval$1(AstBuilder.scala:2152)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitUnitToUnitInterval(AstBuilder.scala:2137)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitInterval$1(AstBuilder.scala:2099)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitInterval(AstBuilder.scala:2083)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitInterval(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$IntervalContext.accept(SqlBaseParser.java:16469)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitIntervalLiteral(SqlBaseBaseVisitor.java:1497)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$IntervalLiteralContext.accept(SqlBaseParser.java:16090)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitConstantDefault(SqlBaseBaseVisitor.java:1427)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ConstantDefaultContext.accept(SqlBaseParser.java:15100)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitValueExpressionDefault(SqlBaseBaseVisitor.java:1308)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ValueExpressionDefaultContext.accept(SqlBaseParser.java:14496)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.expression(AstBuilder.scala:1220)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitPredicated$1(AstBuilder.scala:1356)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitPredicated(AstBuilder.scala:1355)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitPredicated(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$PredicatedContext.accept(SqlBaseParser.java:13943)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitExpression(SqlBaseBaseVisitor.java:1266)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$ExpressionContext.accept(SqlBaseParser.java:13868)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.expression(AstBuilder.scala:1220)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitNamedExpression$1(AstBuilder.scala:1242)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpression(AstBuilder.scala:1241)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpression(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$NamedExpressionContext.accept(SqlBaseParser.java:13472)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitNamedExpressionSeq$2(AstBuilder.scala:610)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.immutable.List.map(List.scala:298)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitNamedExpressionSeq(AstBuilder.scala:610)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$withSelectQuerySpecification$1(AstBuilder.scala:702)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.withSelectQuerySpecification(AstBuilder.scala:695)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitRegularQuerySpecification$1(AstBuilder.scala:602)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitRegularQuerySpecification(AstBuilder.scala:590)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitRegularQuerySpecification(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$RegularQuerySpecificationContext.accept(SqlBaseParser.java:9405)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitQueryPrimaryDefault(SqlBaseBaseVisitor.java:804)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryPrimaryDefaultContext.accept(SqlBaseParser.java:8910)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
at org.apache.spark.sql.catalyst.parser.SqlBaseBaseVisitor.visitQueryTermDefault(SqlBaseBaseVisitor.java:790)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryTermDefaultContext.accept(SqlBaseParser.java:8679)
at org.apache.spark.sql.catalyst.parser.AstBuilder.typedVisit(AstBuilder.scala:60)
at org.apache.spark.sql.catalyst.parser.AstBuilder.plan(AstBuilder.scala:114)
at org.apache.spark.sql.catalyst.parser.AstBuilder.$anonfun$visitQuery$1(AstBuilder.scala:120)
at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:108)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitQuery(AstBuilder.scala:119)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitQuery(AstBuilder.scala:54)
at org.apache.spark.sql.catalyst.parser.SqlBaseParser$QueryContext.accept(SqlBaseParser.java:6186)
at org.apache.spark.sql.catalyst.parser.AstBuilder.visitChildren(AstBuilder.scala:70)
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
22:35:50.153 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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.155 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13676.0 (TID 26078, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.negateExact(Math.java:977)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.negateExact(IntervalUtils.scala:412)
at org.apache.spark.sql.catalyst.util.IntervalUtils.negateExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:30)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$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)
22:35:50.155 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13676.0 failed 1 times; aborting job
22:35:50.158 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with 1516e2fc-5da1-420b-9e13-33a7f8931af3, 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$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3655)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3646)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$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:3644)
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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.159 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$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$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.202 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13677.0 (TID 26079)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.subtractExact(Math.java:829)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.203 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13677.0 (TID 26079, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.subtractExact(Math.java:829)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.subtractExact(IntervalUtils.scala:453)
at org.apache.spark.sql.catalyst.util.IntervalUtils.subtractExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$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)
22:35:50.203 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13677.0 failed 1 times; aborting job
22:35:50.206 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with 1afbe5bd-ab0f-4f96-8e01-0c461c30c4ca, 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$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3655)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3646)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$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:3644)
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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.206 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$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$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.248 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13678.0 (TID 26080)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.addExact(Math.java:790)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.250 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13678.0 (TID 26080, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.addExact(Math.java:790)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.addExact(IntervalUtils.scala:431)
at org.apache.spark.sql.catalyst.util.IntervalUtils.addExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:31)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$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)
22:35:50.250 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13678.0 failed 1 times; aborting job
22:35:50.253 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with 532ec295-34df-4547-ba54-c62d14030a0a, 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$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3655)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3646)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$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:3644)
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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.253 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$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$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.302 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13679.0 (TID 26081)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.304 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13679.0 (TID 26081, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.multiplyExact(IntervalUtils.scala:482)
at org.apache.spark.sql.catalyst.util.IntervalUtils.multiplyExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$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)
22:35:50.304 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13679.0 failed 1 times; aborting job
22:35:50.308 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with c17f6aff-5437-4c13-908a-69fab855de58, 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$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3655)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3646)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$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:3644)
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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.308 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$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$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.353 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 13680.0 (TID 26082)
java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.356 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 13680.0 (TID 26082, amp-jenkins-worker-04.amp, executor driver): java.lang.ArithmeticException: integer overflow
at java.lang.Math.toIntExact(Math.java:1011)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.fromDoubles(IntervalUtils.scala:384)
at org.apache.spark.sql.catalyst.util.IntervalUtils$.divideExact(IntervalUtils.scala:500)
at org.apache.spark.sql.catalyst.util.IntervalUtils.divideExact(IntervalUtils.scala)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:33)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$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)
22:35:50.356 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 13680.0 failed 1 times; aborting job
22:35:50.358 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error executing query with d989714c-4a5b-4f92-9631-d3c17fa07aaa, 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$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:385)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3655)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2940)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3646)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$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:3644)
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$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.358 ERROR org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation: Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error running query: java.lang.ArithmeticException: integer overflow
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$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$TaskRunner.run(Executor.scala:467)
... 3 more
22:35:50.533 ERROR org.apache.thrift.server.TThreadPoolServer: Thrift error occurred during processing of message.
org.apache.thrift.transport.TTransportException
at org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at org.apache.thrift.transport.TSaslTransport.readLength(TSaslTransport.java:374)
at org.apache.thrift.transport.TSaslTransport.readFrame(TSaslTransport.java:451)
at org.apache.thrift.transport.TSaslTransport.read(TSaslTransport.java:433)
at org.apache.thrift.transport.TSaslServerTransport.read(TSaslServerTransport.java:43)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:425)
at org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:321)
at org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:225)
at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:27)
at org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:53)
at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:310)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.651 ERROR org.apache.thrift.server.TThreadPoolServer: Thrift error occurred during processing of message.
org.apache.thrift.transport.TTransportException
at org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at org.apache.thrift.transport.TSaslTransport.readLength(TSaslTransport.java:374)
at org.apache.thrift.transport.TSaslTransport.readFrame(TSaslTransport.java:451)
at org.apache.thrift.transport.TSaslTransport.read(TSaslTransport.java:433)
at org.apache.thrift.transport.TSaslServerTransport.read(TSaslServerTransport.java:43)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:425)
at org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:321)
at org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:225)
at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:27)
at org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:53)
at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:310)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
22:35:50.792 WARN org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite:
=== Metrics of Analyzer/Optimizer Rules ===
Total number of runs: 5430697
Total time: 168.233821777 seconds
Rule Effective Time / Total Time Effective Runs / Total Runs
org.apache.spark.sql.catalyst.optimizer.Optimizer$OptimizeSubqueries 16640464931 / 20747480906 604 / 20769
org.apache.spark.sql.execution.datasources.FindDataSourceTable 7832862740 / 8017142403 2486 / 55819
org.apache.spark.sql.catalyst.optimizer.ColumnPruning 1369948738 / 6709281887 4168 / 48783
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery 3710983153 / 4404329382 687 / 55857
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences 2583980167 / 4179560711 6900 / 55907
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAggregateFunctions 1257723016 / 2435763354 253 / 55840
org.apache.spark.sql.catalyst.optimizer.RemoveNoopOperators 152470102 / 2260379226 1791 / 48614
org.apache.spark.sql.catalyst.optimizer.PushDownPredicates 415756986 / 2135320219 1893 / 38528
org.apache.spark.sql.catalyst.optimizer.ConstantFolding 810372801 / 2069917628 3305 / 28014
org.apache.spark.sql.catalyst.optimizer.CollapseProject 635407096 / 1962565035 5063 / 38483
org.apache.spark.sql.catalyst.optimizer.PruneFilters 16068561 / 1946011046 144 / 38314
org.apache.spark.sql.catalyst.optimizer.SimplifyCasts 2204996 / 1761765531 20 / 28014
org.apache.spark.sql.catalyst.optimizer.RemoveDispensableExpressions 1075205 / 1749775737 6 / 28014
org.apache.spark.sql.catalyst.optimizer.LikeSimplification 4173976 / 1698157002 20 / 28014
org.apache.spark.sql.catalyst.optimizer.NullPropagation 44488203 / 1694569284 361 / 28183
org.apache.spark.sql.catalyst.optimizer.EliminateResolvedHint 0 / 1675298331 0 / 10469
org.apache.spark.sql.catalyst.optimizer.CombineUnions 5734867 / 1641588586 35 / 38652
org.apache.spark.sql.catalyst.optimizer.BooleanSimplification 9694533 / 1621553595 61 / 28014
org.apache.spark.sql.catalyst.optimizer.OptimizeIn 598779 / 1606278110 4 / 28183
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations 1217115804 / 1597262109 8703 / 55962
org.apache.spark.sql.catalyst.analysis.CTESubstitution 40291508 / 1583145108 104 / 23832
org.apache.spark.sql.catalyst.optimizer.ReorderAssociativeOperator 0 / 1571918328 0 / 28014
org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts 398282742 / 1557381474 1164 / 55828
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions 724369101 / 1544211709 3660 / 55857
org.apache.spark.sql.catalyst.optimizer.SimplifyCaseConversionExpressions 0 / 1476397422 0 / 28014
org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator 5437653 / 1469499110 8 / 55890
org.apache.spark.sql.catalyst.optimizer.SimplifyBinaryComparison 1810635 / 1450818272 15 / 28014
org.apache.spark.sql.catalyst.optimizer.SimplifyExtractValueOps 269217 / 1439846253 3 / 28014
org.apache.spark.sql.catalyst.optimizer.SimplifyConditionals 9373976 / 1439037028 156 / 28014
org.apache.spark.sql.catalyst.optimizer.ReplaceNullWithFalseInPredicate 482699 / 1419082137 9 / 28014
org.apache.spark.sql.catalyst.optimizer.EliminateOuterJoin 104854162 / 1397096795 174 / 28183
org.apache.spark.sql.catalyst.analysis.ResolveSessionCatalog 525018360 / 1396075976 1441 / 55815
org.apache.spark.sql.catalyst.analysis.DecimalPrecision 256434050 / 1358560876 1184 / 55828
org.apache.spark.sql.catalyst.optimizer.CollapseRepartition 0 / 1354706182 0 / 28183
org.apache.spark.sql.catalyst.optimizer.PushDownLeftSemiAntiJoin 49120709 / 1339511543 151 / 28183
org.apache.spark.sql.catalyst.optimizer.ReorderJoin 14651389 / 1304387792 30 / 28183
org.apache.spark.sql.catalyst.optimizer.RewriteCorrelatedScalarSubquery 4414719 / 1265820710 5 / 28014
org.apache.spark.sql.catalyst.optimizer.GetCurrentDatabaseAndCatalog 199725 / 1265652247 1 / 10469
org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion 11739201 / 1246630952 32 / 28183
org.apache.spark.sql.catalyst.optimizer.LimitPushDown 0 / 1243876597 0 / 28183
org.apache.spark.sql.catalyst.optimizer.InferFiltersFromConstraints 521530937 / 1230084984 1184 / 10300
org.apache.spark.sql.catalyst.optimizer.TransposeWindow 0 / 1223393013 0 / 28183
org.apache.spark.sql.catalyst.optimizer.PushLeftSemiLeftAntiThroughJoin 232617 / 1220911088 1 / 28183
org.apache.spark.sql.catalyst.optimizer.CombineFilters 0 / 1219286636 0 / 28183
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer 596512257 / 1202639656 9029 / 55907
org.apache.spark.sql.catalyst.optimizer.CollapseWindow 0 / 1184731550 0 / 28183
org.apache.spark.sql.catalyst.optimizer.ConstantPropagation 531538 / 1178729815 3 / 28183
org.apache.spark.sql.catalyst.analysis.ResolveTimeZone 662341392 / 1164787903 7601 / 55828
org.apache.spark.sql.catalyst.optimizer.CombineLimits 0 / 1148010465 0 / 28183
org.apache.spark.sql.catalyst.optimizer.EliminateSerialization 0 / 1115221372 0 / 28014
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAliases 635058076 / 1097031666 4833 / 55857
org.apache.spark.sql.catalyst.optimizer.FoldablePropagation 47759161 / 1090607763 163 / 28183
org.apache.spark.sql.catalyst.analysis.TypeCoercion$PromoteStrings 155268649 / 1084599212 757 / 55828
org.apache.spark.sql.catalyst.analysis.TypeCoercion$InConversion 41671018 / 1021505179 131 / 55828
org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractWindowExpressions 188725146 / 1016418434 424 / 55840
org.apache.spark.sql.catalyst.analysis.TypeCoercion$FunctionArgumentConversion 171619044 / 1009308304 388 / 55828
org.apache.spark.sql.catalyst.optimizer.ComputeCurrentTime 1999458 / 986943792 7 / 10469
org.apache.spark.sql.catalyst.optimizer.PropagateEmptyRelation 6326784 / 973778171 59 / 20828
org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions 0 / 961985973 0 / 23520
org.apache.spark.sql.catalyst.optimizer.ReplaceExpressions 50824997 / 877513434 376 / 10469
org.apache.spark.sql.catalyst.analysis.UpdateAttributeNullability 20648775 / 877413727 114 / 23360
org.apache.spark.sql.catalyst.analysis.EliminateSubqueryAliases 704395745 / 873959942 5807 / 10469
org.apache.spark.sql.catalyst.analysis.ResolveCreateNamedStruct 7893275 / 813823863 37 / 55907
org.apache.spark.sql.catalyst.analysis.TimeWindowing 0 / 813227480 0 / 55840
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveBinaryArithmetic 30900312 / 813154735 182 / 55828
org.apache.spark.sql.catalyst.optimizer.RewriteNonCorrelatedExists 8658013 / 808885276 63 / 10469
org.apache.spark.sql.catalyst.analysis.TypeCoercion$BooleanEquality 5504855 / 803550550 68 / 55828
org.apache.spark.sql.catalyst.analysis.TypeCoercion$DateTimeOperations 8636097 / 799571080 64 / 55828
org.apache.spark.sql.execution.datasources.SchemaPruning 12226152 / 798109996 5 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$IfCoercion 17044412 / 777400425 65 / 55828
org.apache.spark.sql.catalyst.optimizer.PullupCorrelatedPredicates 143527189 / 745684178 263 / 10469
org.apache.spark.sql.catalyst.analysis.TypeCoercion$StringLiteralCoercion 3038427 / 744526429 6 / 55819
org.apache.spark.sql.catalyst.analysis.TypeCoercion$Division 18800408 / 730629605 93 / 55828
org.apache.spark.sql.catalyst.optimizer.NormalizeFloatingNumbers 15450578 / 723651178 39 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$IntegralDivision 1038164 / 717119563 4 / 55828
org.apache.spark.sql.catalyst.optimizer.RemoveRedundantAliases 11004656 / 705621698 97 / 28014
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRandomSeed 822876 / 702594124 2 / 55828
org.apache.spark.sql.catalyst.analysis.ResolveHigherOrderFunctions 23096084 / 688528942 121 / 55828
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowOrder 7283203 / 687958588 24 / 55852
org.apache.spark.sql.execution.dynamicpruning.PartitionPruning 0 / 676999298 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$ConcatCoercion 5521148 / 674583544 20 / 55828
org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter 15864611 / 663992177 21 / 10741
org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions 12410113 / 648145924 2 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$EltCoercion 2222182 / 641859431 3 / 55828
org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates 22589041 / 627915283 8 / 10469
org.apache.spark.sql.catalyst.analysis.EliminateView 2534675 / 610414313 4 / 10469
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveMissingReferences 12880642 / 610269566 32 / 55890
org.apache.spark.sql.execution.datasources.v2.V2ScanRelationPushDown 0 / 606641054 0 / 10300
org.apache.spark.sql.catalyst.optimizer.RewriteExceptAll 7734861 / 598973919 23 / 10741
org.apache.spark.sql.catalyst.analysis.TypeCoercion$WindowFrameCoercion 19365517 / 592501211 81 / 55828
org.apache.spark.sql.catalyst.expressions.codegen.package$ExpressionCanonicalizer$CleanExpressions 16141674 / 591556206 4992 / 143389
org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithAntiJoin 7739063 / 588671948 29 / 10741
org.apache.spark.sql.execution.dynamicpruning.CleanupDynamicPruningFilters 0 / 588281626 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$CaseWhenCoercion 19774483 / 583416367 71 / 55828
org.apache.spark.sql.catalyst.analysis.ResolveLambdaVariables 53059053 / 575237984 123 / 55828
org.apache.spark.sql.catalyst.optimizer.ReassignLambdaVariableID 0 / 573604998 0 / 10300
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowFrame 17379549 / 572376527 170 / 55852
org.apache.spark.sql.execution.python.ExtractPythonUDFs 0 / 571710635 0 / 10300
org.apache.spark.sql.catalyst.analysis.TypeCoercion$MapZipWithCoercion 13546489 / 567287999 13 / 55828
org.apache.spark.sql.catalyst.optimizer.ReplaceIntersectWithSemiJoin 10937476 / 563146861 51 / 10741
org.apache.spark.sql.catalyst.optimizer.EliminateMapObjects 0 / 559164805 0 / 10300
org.apache.spark.sql.catalyst.optimizer.RewriteIntersectAll 10582855 / 554687100 16 / 10741
org.apache.spark.sql.catalyst.optimizer.ReplaceDistinctWithAggregate 38279425 / 549485947 245 / 10741
org.apache.spark.sql.catalyst.analysis.ResolveInlineTables 314094786 / 547189084 1644 / 55832
org.apache.spark.sql.catalyst.optimizer.ReplaceDeduplicateWithAggregate 0 / 540628526 0 / 10469
org.apache.spark.sql.catalyst.analysis.TypeCoercion$StackCoercion 0 / 534664395 0 / 55828
org.apache.spark.sql.catalyst.optimizer.RemoveRepetitionFromGroupExpressions 2542958 / 523453957 27 / 10518
org.apache.spark.sql.catalyst.optimizer.RemoveLiteralFromGroupExpressions 1715935 / 523452350 22 / 10518
org.apache.spark.sql.catalyst.optimizer.OptimizeLimitZero 596848 / 519364595 3 / 10469
org.apache.spark.sql.catalyst.analysis.Analyzer$GlobalAggregates 14248810 / 515312846 450 / 55840
org.apache.spark.sql.catalyst.optimizer.PushCNFPredicateThroughJoin 7565040 / 505980140 38 / 10300
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveGroupingAnalytics 127019945 / 504624160 89 / 55903
org.apache.spark.sql.catalyst.optimizer.RewritePredicateSubquery 137020359 / 500517185 547 / 10300
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNewInstance 0 / 468815501 0 / 55907
org.apache.spark.sql.catalyst.optimizer.DecimalAggregates 3302961 / 465033552 6 / 10306
org.apache.spark.sql.catalyst.optimizer.EliminateSorts 3201193 / 455028307 28 / 10300
org.apache.spark.sql.catalyst.analysis.ResolveHints$ResolveJoinStrategyHints 0 / 441396476 0 / 23527
org.apache.spark.sql.catalyst.analysis.CleanupAliases 178971223 / 435065453 6952 / 30312
org.apache.spark.sql.execution.python.ExtractGroupingPythonUDFFromAggregate 0 / 432489267 0 / 10300
org.apache.spark.sql.catalyst.analysis.ResolveCatalogs 47574055 / 429896597 252 / 55962
org.apache.spark.sql.execution.python.ExtractPythonUDFFromAggregate 0 / 426177118 0 / 10300
org.apache.spark.sql.catalyst.optimizer.ExtractPythonUDFFromJoinCondition 0 / 417643537 0 / 10300
org.apache.spark.sql.catalyst.optimizer.PushPredicateThroughNonJoin 0 / 415907078 0 / 10300
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveTables 0 / 414919855 0 / 55962
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveUpCast 0 / 413759541 0 / 55907
org.apache.spark.sql.catalyst.optimizer.ObjectSerializerPruning 0 / 389920267 0 / 10300
org.apache.spark.sql.catalyst.optimizer.CombineTypedFilters 0 / 381098383 0 / 10300
org.apache.spark.sql.catalyst.analysis.Analyzer$PullOutNondeterministic 7282280 / 332530087 2 / 23360
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveOrdinalInOrderByAndGroupBy 7487943 / 313555505 143 / 55890
org.apache.spark.sql.execution.analysis.DetectAmbiguousSelfJoin 0 / 295154208 0 / 23361
org.apache.spark.sql.catalyst.analysis.TypeCoercion$WidenSetOperationTypes 42383162 / 291268723 106 / 55828
org.apache.spark.sql.catalyst.analysis.Analyzer$HandleNullInputsForUDF 0 / 283090921 0 / 23360
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNaturalAndUsingJoin 75295100 / 277102454 312 / 55852
org.apache.spark.sql.catalyst.analysis.ResolveTableValuedFunctions 38590922 / 267615239 133 / 55962
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolvePivot 39462506 / 249915708 21 / 55897
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAggAliasInGroupBy 4058264 / 241455413 15 / 55890
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubqueryColumnAliases 27618593 / 236975804 600 / 55855
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveGenerate 1181366 / 234609826 3 / 55890
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveEncodersInUDF 0 / 232095843 0 / 23360
org.apache.spark.sql.execution.datasources.PreprocessTableInsertion 148615387 / 229636562 867 / 23360
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNamespace 5272537 / 222228900 25 / 55962
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveOutputRelation 0 / 205942823 0 / 55852
org.apache.spark.sql.execution.datasources.ResolveSQLOnFile 0 / 205876271 0 / 55819
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveInsertInto 0 / 200905259 0 / 55962
org.apache.spark.sql.execution.datasources.FallBackFileSourceV2 0 / 180129046 0 / 55819
org.apache.spark.sql.execution.datasources.PreprocessTableCreation 453167 / 170180835 1 / 23361
org.apache.spark.sql.catalyst.analysis.ResolveHints$ResolveCoalesceHints 201448 / 160484064 1 / 23527
org.apache.spark.sql.execution.datasources.DataSourceAnalysis 59094213 / 145630447 1067 / 23360
org.apache.spark.sql.catalyst.analysis.SubstituteUnresolvedOrdinals 16441761 / 132867557 152 / 23832
org.apache.spark.sql.catalyst.analysis.Analyzer$WindowsSubstitution 13763945 / 118124329 78 / 23832
org.apache.spark.sql.catalyst.analysis.UpdateOuterReferences 3990016 / 112892820 9 / 23360
org.apache.spark.sql.catalyst.analysis.EliminateUnions 0 / 102640279 0 / 23832
org.apache.spark.sql.catalyst.optimizer.CombineConcats 1506334 / 98994844 7 / 28014
org.apache.spark.sql.catalyst.optimizer.EliminateDistinct 0 / 94448597 0 / 10469
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAlterTableChanges 0 / 92650229 0 / 23360
org.apache.spark.sql.catalyst.analysis.ResolveHints$RemoveAllHints 0 / 78561576 0 / 23360
org.apache.spark.sql.catalyst.optimizer.CheckCartesianProducts 0 / 74540282 0 / 20600
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder 0 / 47836002 0 / 10300
org.apache.spark.sql.execution.OptimizeMetadataOnlyQuery 0 / 40062049 0 / 10300
22:36:51.046 WARN org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite:
=== Metrics of Whole-stage Codegen ===
Total code generation time: 35.577851367 seconds
Total compile time: 49.059339865 seconds
22:36:51.229 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, derby.rawStoreDaemon, com.google.common.base.internal.Finalizer, Timer-3, BoneCP-keep-alive-scheduler, shuffle-boss-6-1, BoneCP-pool-watch-thread =====
[info] - ansi/interval.sql (33 seconds, 590 milliseconds)
[info] - ansi/literals.sql !!! IGNORED !!!
[info] - Check if ThriftServer can work (117 milliseconds)
[info] ScalaTest
[info] Run completed in 49 minutes, 59 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: 3014 s, completed Jun 28, 2020 10:36:53 PM
[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 hive/test repl/test catalyst/test hive-thriftserver/test examples/test mllib/test avro/test sql/test sql-kafka-0-10/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
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