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Posted to issues@spark.apache.org by "Rashmi (Jira)" <ji...@apache.org> on 2020/01/20 09:45:00 UTC
[jira] [Commented] (SPARK-30585) scalatest fails for Apache Spark
SQL project
[ https://issues.apache.org/jira/browse/SPARK-30585?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17019335#comment-17019335 ]
Rashmi commented on SPARK-30585:
--------------------------------
Trying to build Apache Spark on Power.
> scalatest fails for Apache Spark SQL project
> --------------------------------------------
>
> Key: SPARK-30585
> URL: https://issues.apache.org/jira/browse/SPARK-30585
> Project: Spark
> Issue Type: Bug
> Components: Build
> Affects Versions: 2.4.0
> Reporter: Rashmi
> Priority: Blocker
>
> Error logs:-
> 23:36:49.039 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 3.0 (TID 6, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:49.039 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 3.0 (TID 7, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:51.354 WARN org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor: Current batch is falling behind. The trigger interval is 100 milliseconds, but spent 1854 milliseconds
> 23:36:51.381 WARN org.apache.spark.sql.execution.streaming.continuous.ContinuousQueuedDataReader$DataReaderThread: data reader thread failed
> org.apache.spark.SparkException: Exception thrown in awaitResult:
> at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:226)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
> at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:92)
> at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:76)
> at org.apache.spark.sql.execution.streaming.sources.ContinuousMemoryStreamInputPartitionReader.getRecord(ContinuousMemoryStream.scala:195)
> at org.apache.spark.sql.execution.streaming.sources.ContinuousMemoryStreamInputPartitionReader.next(ContinuousMemoryStream.scala:181)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousQueuedDataReader$DataReaderThread.run(ContinuousQueuedDataReader.scala:143)
> Caused by: org.apache.spark.SparkException: Could not find ContinuousMemoryStreamRecordEndpoint-f7d4460c-9f4e-47ee-a846-258b34964852-9.
> at org.apache.spark.rpc.netty.Dispatcher.postMessage(Dispatcher.scala:160)
> at org.apache.spark.rpc.netty.Dispatcher.postLocalMessage(Dispatcher.scala:135)
> at org.apache.spark.rpc.netty.NettyRpcEnv.ask(NettyRpcEnv.scala:229)
> at org.apache.spark.rpc.netty.NettyRpcEndpointRef.ask(NettyRpcEnv.scala:523)
> at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:91)
> ... 4 more
> 23:36:51.389 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 4.0 (TID 9, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:51.390 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 4.0 (TID 8, localhost, executor driver): TaskKilled (Stage cancelled)
> - flatMap
> 23:36:51.754 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 5.0 (TID 11, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:51.754 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 5.0 (TID 10, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:52.248 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 6.0 (TID 13, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:52.249 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 6.0 (TID 12, localhost, executor driver): TaskKilled (Stage cancelled)
> - filter
> 23:36:52.611 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 7.0 (TID 14, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:52.611 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 7.0 (TID 15, localhost, executor driver): TaskKilled (Stage cancelled)
> - deduplicate
> - timestamp
> 23:36:53.015 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 8.0 (TID 16, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:53.015 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 8.0 (TID 17, localhost, executor driver): TaskKilled (Stage cancelled)
> - subquery alias
> 23:36:53.572 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 9.0 (TID 19, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:53.572 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 9.0 (TID 18, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:53.953 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 10.0 (TID 21, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:53.953 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 10.0 (TID 20, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:54.552 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 11.0 (TID 23, localhost, executor driver): TaskKilled (Stage cancelled)
> 23:36:54.552 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 11.0 (TID 22, localhost, executor driver): TaskKilled (Stage cancelled)
> - repeatedly restart
> 23:36:54.591 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 12.0 (TID 25, localhost, executor driver): TaskKilled (killed via SparkContext.killTaskAttempt)
> 23:36:54.594 ERROR org.apache.spark.util.Utils: Aborting task
> org.apache.spark.sql.execution.streaming.continuous.ContinuousTaskRetryException: Continuous execution does not support task retry
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousDataSourceRDD.compute(ContinuousDataSourceRDD.scala:68)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply$mcV$sp(ContinuousWriteRDD.scala:52)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
> at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD.compute(ContinuousWriteRDD.scala:76)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> 23:36:54.594 ERROR org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD: Writer for partition 1 is aborting.
> 23:36:54.594 ERROR org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD: Writer for partition 1 aborted.
> 23:36:54.595 ERROR org.apache.spark.executor.Executor: Exception in task 1.1 in stage 12.0 (TID 26)
> org.apache.spark.sql.execution.streaming.continuous.ContinuousTaskRetryException: Continuous execution does not support task retry
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousDataSourceRDD.compute(ContinuousDataSourceRDD.scala:68)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply$mcV$sp(ContinuousWriteRDD.scala:52)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
> at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394)
> at org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD.compute(ContinuousWriteRDD.scala:76)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
>
> SPARK-10849: jdbc CreateTableColumnTypes duplicate columns
> - SPARK-10849: jdbc CreateTableColumnTypes invalid columns
> 23:38:30.300 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 76.0 (TID 98)
> org.h2.jdbc.JdbcBatchUpdateException: NULL not allowed for column "NAME"; SQL statement:
> INSERT INTO TEST.PEOPLE1 ("NAME","THEID") VALUES (?,?) [23502-195]
> at org.h2.jdbc.JdbcPreparedStatement.executeBatch(JdbcPreparedStatement.java:1234)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:672)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
> 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.h2.jdbc.JdbcSQLException: NULL not allowed for column "NAME"; SQL statement:
> INSERT INTO TEST.PEOPLE1 ("NAME","THEID") VALUES (?,?) [23502-195]
> at org.h2.message.DbException.getJdbcSQLException(DbException.java:345)
> at org.h2.message.DbException.get(DbException.java:179)
> at org.h2.message.DbException.get(DbException.java:155)
> at org.h2.table.Column.validateConvertUpdateSequence(Column.java:345)
> at org.h2.table.Table.validateConvertUpdateSequence(Table.java:793)
> at org.h2.command.dml.Insert.insertRows(Insert.java:151)
> at org.h2.command.dml.Insert.update(Insert.java:114)
> at org.h2.command.CommandContainer.update(CommandContainer.java:101)
> at org.h2.command.Command.executeUpdate(Command.java:260)
> at org.h2.jdbc.JdbcPreparedStatement.executeUpdateInternal(JdbcPreparedStatement.java:164)
> at org.h2.jdbc.JdbcPreparedStatement.executeBatch(JdbcPreparedStatement.java:1215)
> ... 15 more
> org.h2.jdbc.JdbcSQLException: NULL not allowed for column "NAME"; SQL statement:
> INSERT INTO TEST.PEOPLE1 ("NAME","THEID") VALUES (?,?) [23502-195]
> at org.h2.message.DbException.getJdbcSQLException(DbException.java:345)
> at org.h2.message.DbException.get(DbException.java:179)
> at org.h2.message.DbException.get(DbException.java:155)
> at org.h2.table.Column.validateConvertUpdateSequence(Column.java:345)
> at org.h2.table.Table.validateConvertUpdateSequence(Table.java:793)
> at org.h2.command.dml.Insert.insertRows(Insert.java:151)
> at org.h2.command.dml.Insert.update(Insert.java:114)
> at org.h2.command.CommandContainer.update(CommandContainer.java:101)
> at org.h2.command.Command.executeUpdate(Command.java:260)
> at org.h2.jdbc.JdbcPreparedStatement.executeUpdateInternal(JdbcPreparedStatement.java:164)
> at org.h2.jdbc.JdbcPreparedStatement.executeBatch(JdbcPreparedStatement.java:1215)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:672)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> 23:38:30.305 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 76.0 (TID 98, localhost, executor driver): org.h2.jdbc.JdbcBatchUpdateException: NULL not allowed for column "NAME"; SQL statement:
> INSERT INTO TEST.PEOPLE1 ("NAME","THEID") VALUES (?,?) [23502-195]
> at org.h2.jdbc.JdbcPreparedStatement.executeBatch(JdbcPreparedStatement.java:1234)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:672)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
> 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.h2.jdbc.JdbcSQLException: NULL not allowed for column "NAME"; SQL statement:
> INSERT INTO TEST.PEOPLE1 ("NAME","THEID") VALUES (?,?) [23502-195]
> at org.h2.message.DbException.getJdbcSQLException(DbException.java:345)
> at org.h2.message.DbException.get(DbException.java:179)
> at org.h2.message.DbException.get(DbException.java:155)
> at org.h2.table.Column.validateConvertUpdateSequence(Column.java:345)
> at org.h2.table.Table.validateConvertUpdateSequence(Table.java:793)
> at org.h2.command.dml.Insert.insertRows(Insert.java:151)
> at org.h2.command.dml.Insert.update(Insert.java:114)
> at org.h2.command.CommandContainer.update(CommandContainer.java:101)
> at org.h2.command.Command.executeUpdate(Command.java:260)
> at org.h2.jdbc.JdbcPreparedStatement.executeUpdateInternal(JdbcPreparedStatement.java:164)
> at org.h2.jdbc.JdbcPreparedStatement.executeBatch(JdbcPreparedStatement.java:1215)
> ... 15 more
> org.h2.jdbc.JdbcSQLException: NULL not allowed for column "NAME"; SQL statement:
> INSERT INTO TEST.PEOPLE1 ("NAME","THEID") VALUES (?,?) [23502-195]
> at org.h2.message.DbException.getJdbcSQLException(DbException.java:345)
> at org.h2.message.DbException.get(DbException.java:179)
> at org.h2.message.DbException.get(DbException.java:155)
> at org.h2.table.Column.validateConvertUpdateSequence(Column.java:345)
> at org.h2.table.Table.validateConvertUpdateSequence(Table.java:793)
> at org.h2.command.dml.Insert.insertRows(Insert.java:151)
> at org.h2.command.dml.Insert.update(Insert.java:114)
> at org.h2.command.CommandContainer.update(CommandContainer.java:101)
> at org.h2.command.Command.executeUpdate(Command.java:260)
> at org.h2.jdbc.JdbcPreparedStatement.executeUpdateInternal(JdbcPreparedStatement.java:164)
> at org.h2.jdbc.JdbcPreparedStatement.executeBatch(JdbcPreparedStatement.java:1215)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:672)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:834)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> 23:38:30.305 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 76.0 failed 1 times; aborting job
> - SPARK-19726: INSERT null to a NOT NULL column
> - SPARK-23856 Spark jdbc setQueryTimeout option !!! IGNORED !!!
> OuterJoinSuite:
>
>
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