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Published 20 hours ago • verified publisher icon apache

[Bug][Spark]Driver stacktrace:at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages；Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded

Open bunenghulai opened this issue 2 years ago • 2 comments

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What happened

  1. Use version 2.1.2 of the V1 Seatunnel
  2. Run the Seatunnel script in spark local mode
  3. Error reporting

SeaTunnel Version

Seatunnel 2.1.2

SeaTunnel Config

env {
    spark.app.name='ods_detail_full'
    spark.driver.memory=8G
    spark.executor.cores=4
    spark.executor.memory=8G
    spark.sql.adaptive.enabled=true
    spark.sql.adaptive.shuffle.targetPostShuffleInputSize=134217728
}

source {
  jdbc {
    driver = "com.mysql.jdbc.Driver"
    url = "jdbc:mysql://XXXXXXX/ent?tinyInt1isBit=false&zeroDateTimeBehavior=convertToNull"
    table = "detail"
    result_table_name = "hive_detail"
    user = "XXXX"
    password = "XXXXX"
        }
}

transform {

}
sink {
  Hive {
 sql = "insert overwrite table ods.ods_detail_full partition(dt='"${dt}"')  select id, uid,  business_type,create_time, update_time, is_send from hive_detail "

}
}

Running Command

../../bin/start-seatunnel-spark.sh --master local[4] --deploy-mode client -i dt=2022-11-16 --config ./ods_detail_full.conf

Error Exception

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023)
        at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972)
        at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971)
        at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
        at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971)
        at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950)
        at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950)
        at scala.Option.foreach(Option.scala:407)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093)
        at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:195)
        ... 38 more
Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
        at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166)
        at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079)
        at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393)
        at com.mysql.jdbc.By

Flink or Spark Version

Spark 3.0.0

Java or Scala Version

java 1.8 Scala 2.12

Screenshots

22/11/18 06:07:36 INFO SparkContext: Invoking stop() from shutdown hook 22/11/18 06:07:36 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0 executor driver): java.lang.OutOfMemoryError: GC overhead limit exceeded at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166) at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079) at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393) at com.mysql.jdbc.ByteArrayRow.getTimestampFast(ByteArrayRow.java:127) at com.mysql.jdbc.ResultSetImpl.getTimestampInternal(ResultSetImpl.java:6592) at com.mysql.jdbc.ResultSetImpl.getTimestamp(ResultSetImpl.java:6192) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13(JdbcUtils.scala:457) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13$adapted(JdbcUtils.scala:456) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$$Lambda$2374/1818572994.apply(Unknown Source) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:361) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:343) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225) at org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119) at org.apache.spark.sql.execution.SortExec$$Lambda$2364/1209672886.apply(Unknown Source) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.RDD$$Lambda$2365/1791512261.apply(Unknown Source) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2328/1482998604.apply(Unknown Source) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)

22/11/18 06:07:36 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job 22/11/18 06:07:36 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 22/11/18 06:07:36 INFO SparkUI: Stopped Spark web UI at http://hadoopa:4040 22/11/18 06:07:36 INFO TaskSchedulerImpl: Cancelling stage 0 22/11/18 06:07:36 INFO TaskSchedulerImpl: Killing all running tasks in stage 0: Stage cancelled 22/11/18 06:07:36 INFO DAGScheduler: ResultStage 0 (sql at Hive.scala:43) failed in 179.619 s due to Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, executor driver): java.lang.OutOfMemoryError: GC overhead limit exceeded at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166) at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079) at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393) at com.mysql.jdbc.ByteArrayRow.getTimestampFast(ByteArrayRow.java:127) at com.mysql.jdbc.ResultSetImpl.getTimestampInternal(ResultSetImpl.java:6592) at com.mysql.jdbc.ResultSetImpl.getTimestamp(ResultSetImpl.java:6192) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13(JdbcUtils.scala:457) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13$adapted(JdbcUtils.scala:456) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$$Lambda$2374/1818572994.apply(Unknown Source) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:361) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:343) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225) at org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119) at org.apache.spark.sql.execution.SortExec$$Lambda$2364/1209672886.apply(Unknown Source) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.RDD$$Lambda$2365/1791512261.apply(Unknown Source) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2328/1482998604.apply(Unknown Source) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)

Driver stacktrace: 22/11/18 06:07:36 INFO DAGScheduler: Job 0 failed: sql at Hive.scala:43, took 179.648999 s 22/11/18 06:07:36 ERROR FileFormatWriter: Aborting job 35bfbc25-115c-4b33-9add-84b32d9c5eb3. org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, executor driver): java.lang.OutOfMemoryError: GC overhead limit exceeded at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166) at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079) at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393) at com.mysql.jdbc.ByteArrayRow.getTimestampFast(ByteArrayRow.java:127) at com.mysql.jdbc.ResultSetImpl.getTimestampInternal(ResultSetImpl.java:6592) at com.mysql.jdbc.ResultSetImpl.getTimestamp(ResultSetImpl.java:6192) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13(JdbcUtils.scala:457) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13$adapted(JdbcUtils.scala:456) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$$Lambda$2374/1818572994.apply(Unknown Source) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:361) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:343) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225) at org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119) at org.apache.spark.sql.execution.SortExec$$Lambda$2364/1209672886.apply(Unknown Source) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.RDD$$Lambda$2365/1791512261.apply(Unknown Source) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2328/1482998604.apply(Unknown Source) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)

Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:195) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:178) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106) at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:120) at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:229) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3616) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87) 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:3614) at org.apache.spark.sql.Dataset.(Dataset.scala:229) at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97) at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:606) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:601) at org.apache.seatunnel.spark.hive.sink.Hive.output(Hive.scala:43) at org.apache.seatunnel.spark.hive.sink.Hive.output(Hive.scala:29) at org.apache.seatunnel.spark.SparkEnvironment.sinkProcess(SparkEnvironment.java:179) at org.apache.seatunnel.spark.batch.SparkBatchExecution.start(SparkBatchExecution.java:54) at org.apache.seatunnel.core.spark.command.SparkTaskExecuteCommand.execute(SparkTaskExecuteCommand.java:76) at org.apache.seatunnel.core.base.Seatunnel.run(Seatunnel.java:39) at org.apache.seatunnel.core.spark.SeatunnelSpark.main(SeatunnelSpark.java:32) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:928) at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203) at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90) at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166) at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079) at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393) at com.mysql.jdbc.ByteArrayRow.getTimestampFast(ByteArrayRow.java:127) at com.mysql.jdbc.ResultSetImpl.getTimestampInternal(ResultSetImpl.java:6592) at com.mysql.jdbc.ResultSetImpl.getTimestamp(ResultSetImpl.java:6192) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13(JdbcUtils.scala:457) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13$adapted(JdbcUtils.scala:456) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$$Lambda$2374/1818572994.apply(Unknown Source) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:361) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:343) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225) at org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119) at org.apache.spark.sql.execution.SortExec$$Lambda$2364/1209672886.apply(Unknown Source) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.RDD$$Lambda$2365/1791512261.apply(Unknown Source) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2328/1482998604.apply(Unknown Source) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447) 22/11/18 06:07:36 ERROR Seatunnel:

===============================================================================

22/11/18 06:07:36 ERROR Seatunnel: Fatal Error,

22/11/18 06:07:36 ERROR Seatunnel: Please submit bug report in https://github.com/apache/incubator-seatunnel/issues

22/11/18 06:07:36 ERROR Seatunnel: Reason:Execute Spark task error

22/11/18 06:07:36 ERROR Seatunnel: Exception StackTrace:java.lang.RuntimeException: Execute Spark task error at org.apache.seatunnel.core.spark.command.SparkTaskExecuteCommand.execute(SparkTaskExecuteCommand.java:79) at org.apache.seatunnel.core.base.Seatunnel.run(Seatunnel.java:39) at org.apache.seatunnel.core.spark.SeatunnelSpark.main(SeatunnelSpark.java:32) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:928) at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203) at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90) at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:226) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:178) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106) at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:120) at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:229) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3616) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3614) at org.apache.spark.sql.Dataset.(Dataset.scala:229) at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97) at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:606) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:601) at org.apache.seatunnel.spark.hive.sink.Hive.output(Hive.scala:43) at org.apache.seatunnel.spark.hive.sink.Hive.output(Hive.scala:29) at org.apache.seatunnel.spark.SparkEnvironment.sinkProcess(SparkEnvironment.java:179) at org.apache.seatunnel.spark.batch.SparkBatchExecution.start(SparkBatchExecution.java:54) at org.apache.seatunnel.core.spark.command.SparkTaskExecuteCommand.execute(SparkTaskExecuteCommand.java:76) ... 14 more Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, executor driver): java.lang.OutOfMemoryError: GC overhead limit exceeded at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166) at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079) at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393) at com.mysql.jdbc.ByteArrayRow.getTimestampFast(ByteArrayRow.java:127) at com.mysql.jdbc.ResultSetImpl.getTimestampInternal(ResultSetImpl.java:6592) at com.mysql.jdbc.ResultSetImpl.getTimestamp(ResultSetImpl.java:6192) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13(JdbcUtils.scala:457) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13$adapted(JdbcUtils.scala:456) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$$Lambda$2374/1818572994.apply(Unknown Source) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:361) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:343) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225) at org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119) at org.apache.spark.sql.execution.SortExec$$Lambda$2364/1209672886.apply(Unknown Source) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.RDD$$Lambda$2365/1791512261.apply(Unknown Source) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2328/1482998604.apply(Unknown Source) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)

Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:195) ... 38 more Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166) at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079) at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393) at com.mysql.jdbc.ByteArrayRow.getTimestampFast(ByteArrayRow.java:127) at com.mysql.jdbc.ResultSetImpl.getTimestampInternal(ResultSetImpl.java:6592) at com.mysql.jdbc.ResultSetImpl.getTimestamp(ResultSetImpl.java:6192) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13(JdbcUtils.scala:457) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13$adapted(JdbcUtils.scala:456) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$$Lambda$2374/1818572994.apply(Unknown Source) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:361) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:343) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225) at org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119) at org.apache.spark.sql.execution.SortExec$$Lambda$2364/1209672886.apply(Unknown Source) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.RDD$$Lambda$2365/1791512261.apply(Unknown Source) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2328/1482998604.apply(Unknown Source) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)

22/11/18 06:07:36 ERROR Seatunnel:

Exception in thread "main" java.lang.RuntimeException: Execute Spark task error at org.apache.seatunnel.core.spark.command.SparkTaskExecuteCommand.execute(SparkTaskExecuteCommand.java:79) at org.apache.seatunnel.core.base.Seatunnel.run(Seatunnel.java:39) at org.apache.seatunnel.core.spark.SeatunnelSpark.main(SeatunnelSpark.java:32) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:928) at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203) at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90) at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:226) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:178) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106) at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:120) at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:229) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3616) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3614) at org.apache.spark.sql.Dataset.(Dataset.scala:229) at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97) at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:606) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:601) at org.apache.seatunnel.spark.hive.sink.Hive.output(Hive.scala:43) at org.apache.seatunnel.spark.hive.sink.Hive.output(Hive.scala:29) at org.apache.seatunnel.spark.SparkEnvironment.sinkProcess(SparkEnvironment.java:179) at org.apache.seatunnel.spark.batch.SparkBatchExecution.start(SparkBatchExecution.java:54) at org.apache.seatunnel.core.spark.command.SparkTaskExecuteCommand.execute(SparkTaskExecuteCommand.java:76) ... 14 more Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, hadoop-offline-dms-cluster-worker-01, executor driver): java.lang.OutOfMemoryError: GC overhead limit exceeded at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166) at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079) at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393) at com.mysql.jdbc.ByteArrayRow.getTimestampFast(ByteArrayRow.java:127) at com.mysql.jdbc.ResultSetImpl.getTimestampInternal(ResultSetImpl.java:6592) at com.mysql.jdbc.ResultSetImpl.getTimestamp(ResultSetImpl.java:6192) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13(JdbcUtils.scala:457) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13$adapted(JdbcUtils.scala:456) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$$Lambda$2374/1818572994.apply(Unknown Source) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:361) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:343) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225) at org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119) at org.apache.spark.sql.execution.SortExec$$Lambda$2364/1209672886.apply(Unknown Source) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.RDD$$Lambda$2365/1791512261.apply(Unknown Source) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2328/1482998604.apply(Unknown Source) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)

Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:195) ... 38 more Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded at com.mysql.jdbc.TimeUtil.fastTimestampCreate(TimeUtil.java:1166) at com.mysql.jdbc.ResultSetImpl.fastTimestampCreate(ResultSetImpl.java:1079) at com.mysql.jdbc.ResultSetRow.getTimestampFast(ResultSetRow.java:1393) at com.mysql.jdbc.ByteArrayRow.getTimestampFast(ByteArrayRow.java:127) at com.mysql.jdbc.ResultSetImpl.getTimestampInternal(ResultSetImpl.java:6592) at com.mysql.jdbc.ResultSetImpl.getTimestamp(ResultSetImpl.java:6192) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13(JdbcUtils.scala:457) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$13$adapted(JdbcUtils.scala:456) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$$Lambda$2374/1818572994.apply(Unknown Source) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:361) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:343) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225) at org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119) at org.apache.spark.sql.execution.SortExec$$Lambda$2364/1209672886.apply(Unknown Source) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872) at org.apache.spark.rdd.RDD$$Lambda$2365/1791512261.apply(Unknown Source) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2328/1482998604.apply(Unknown Source) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447) 22/11/18 06:07:36 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 22/11/18 06:07:36 INFO MemoryStore: MemoryStore cleared 22/11/18 06:07:36 INFO BlockManager: BlockManager stopped 22/11/18 06:07:36 INFO BlockManagerMaster: BlockManagerMaster stopped 22/11/18 06:07:36 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 22/11/18 06:07:36 INFO SparkContext: Successfully stopped SparkContext 22/11/18 06:07:36 INFO ShutdownHookManager: Shutdown hook called 22/11/18 06:07:36 INFO ShutdownHookManager: Deleting directory /tmp/spark-bc6fbdf0-4cfd-4012-912f-f896e5c11721 22/11/18 06:07:36 INFO ShutdownHookManager: Deleting directory /tmp/spark-6603e45b-d788-4a40-bddf-b46820083fd2

Are you willing to submit PR?

  • [ ] Yes I am willing to submit a PR!

Code of Conduct

bunenghulai avatar Nov 18 '22 03:11 bunenghulai

Please set a reasonable fechsize.

liugddx avatar Nov 21 '22 06:11 liugddx

spark.executor.instances = 5 spark.executor.memoryOverhead = "2g"

wangsvip avatar Nov 21 '22 08:11 wangsvip

This issue has been automatically marked as stale because it has not had recent activity for 30 days. It will be closed in next 7 days if no further activity occurs.

github-actions[bot] avatar Dec 22 '22 00:12 github-actions[bot]

This issue has been closed because it has not received response for too long time. You could reopen it if you encountered similar problems in the future.

github-actions[bot] avatar Dec 29 '22 00:12 github-actions[bot]