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Ankit Raj Boudh commented on SPARK-30229: ----------------------------------------- no , today i will analyse this > java.lang.NullPointerException at > org.apache.spark.SparkContext.getPreferredLocs(SparkContext.scala:1783) > ----------------------------------------------------------------------------------------------------------------- > > Key: SPARK-30229 > URL: https://issues.apache.org/jira/browse/SPARK-30229 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 2.2.1 > Reporter: SeaAndHill > Priority: Major > > 2019-12-12 11:52:00 INFO JobScheduler:54 - Added jobs for time 1576122720000 > ms > 2019-12-12 11:52:00 INFO JobScheduler:54 - Starting job streaming job > 1576122720000 ms.0 from job set of time 1576122720000 ms > 2019-12-12 11:52:00 INFO CarbonSparkSqlParser:54 - Parsing command: > event_detail_temp > 2019-12-12 11:52:00 INFO CarbonLateDecodeRule:95 - skip CarbonOptimizer > 2019-12-12 11:52:00 INFO CarbonLateDecodeRule:72 - Skip CarbonOptimizer > 2019-12-12 11:52:00 INFO CarbonLateDecodeRule:95 - skip CarbonOptimizer > 2019-12-12 11:52:00 INFO CarbonLateDecodeRule:72 - Skip CarbonOptimizer > 2019-12-12 11:52:00 INFO JobScheduler:54 - Finished job streaming job > 1576122720000 ms.0 from job set of time 1576122720000 ms > 2019-12-12 11:52:00 ERROR JobScheduler:91 - Error running job streaming job > 1576122720000 ms.0 > java.lang.NullPointerException > at org.apache.spark.SparkContext.getPreferredLocs(SparkContext.scala:1783) > at > org.apache.spark.rdd.DefaultPartitionCoalescer.currPrefLocs(CoalescedRDD.scala:178) > at > org.apache.spark.rdd.DefaultPartitionCoalescer$PartitionLocations$$anonfun$getAllPrefLocs$2.apply(CoalescedRDD.scala:196) > at > org.apache.spark.rdd.DefaultPartitionCoalescer$PartitionLocations$$anonfun$getAllPrefLocs$2.apply(CoalescedRDD.scala:195) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) > at > org.apache.spark.rdd.DefaultPartitionCoalescer$PartitionLocations.getAllPrefLocs(CoalescedRDD.scala:195) > at > org.apache.spark.rdd.DefaultPartitionCoalescer$PartitionLocations.<init>(CoalescedRDD.scala:188) > at > org.apache.spark.rdd.DefaultPartitionCoalescer.coalesce(CoalescedRDD.scala:391) > at org.apache.spark.rdd.CoalescedRDD.getPartitions(CoalescedRDD.scala:91) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2094) > at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) > at org.apache.spark.rdd.RDD.collect(RDD.scala:935) > at > org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:278) > at > org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2861) > at > org.apache.spark.sql.Dataset$$anonfun$collectAsList$1.apply(Dataset.scala:2399) > at > org.apache.spark.sql.Dataset$$anonfun$collectAsList$1.apply(Dataset.scala:2398) > at org.apache.spark.sql.Dataset$$anonfun$55.apply(Dataset.scala:2842) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65) > at org.apache.spark.sql.Dataset.withAction(Dataset.scala:2841) > at org.apache.spark.sql.Dataset.collectAsList(Dataset.scala:2398) > at > com.talkingdata.aeplus.analytics.FinanceSparkStreaming$1.call(FinanceSparkStreaming.java:191) > at > com.talkingdata.aeplus.analytics.FinanceSparkStreaming$1.call(FinanceSparkStreaming.java:147) > at > org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:272) > at > org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:272) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:628) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:628) > at > org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:51) > at > org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51) > at > org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51) > at > org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416) > at > org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:50) > at > org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50) > at > org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50) > at scala.util.Try$.apply(Try.scala:192) > at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39) > at > org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:257) > at > org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257) > at > org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257) > at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58) > at > org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:748) > 2019-12-12 11:54:00 INFO JobScheduler:54 - Added jobs for time 1576122840000 > ms > 2019-12-12 11:54:00 INFO JobScheduler:54 - Starting job streaming job > 1576122840000 ms.0 from job set of time 1576122840000 ms > 2019-12-12 11:54:00 INFO CarbonSparkSqlParser:54 - Parsing command: > event_detail_temp > 2019-12-12 11:54:00 INFO CarbonLateDecodeRule:95 - skip CarbonOptimizer > 2019-12-12 11:54:00 INFO CarbonLateDecodeRule:72 - Skip CarbonOptimizer > 2019-12-12 11:54:00 INFO CarbonLateDecodeRule:95 - skip CarbonOptimizer > 2019-12-12 11:54:00 INFO CarbonLateDecodeRule:72 - Skip CarbonOptimizer > 2019-12-12 11:54:00 INFO JobScheduler:54 - Finished job streaming job > 1576122840000 ms.0 from job set of time 1576122840000 ms > 2019-12-12 11:54:00 ERROR JobScheduler:91 - Error running job streaming job > 1576122840000 ms.0 > java.lang.NullPointerException > at org.apache.spark.SparkContext.getPreferredLocs(SparkContext.scala:1783) > at > org.apache.spark.rdd.DefaultPartitionCoalescer.currPrefLocs(CoalescedRDD.scala:178) > at > org.apache.spark.rdd.DefaultPartitionCoalescer$PartitionLocations$$anonfun$getAllPrefLocs$2.apply(CoalescedRDD.scala:196) > at > org.apache.spark.rdd.DefaultPartitionCoalescer$PartitionLocations$$anonfun$getAllPrefLocs$2.apply(CoalescedRDD.scala:195) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) > at > org.apache.spark.rdd.DefaultPartitionCoalescer$PartitionLocations.getAllPrefLocs(CoalescedRDD.scala:195) > at > org.apache.spark.rdd.DefaultPartitionCoalescer$PartitionLocations.<init>(CoalescedRDD.scala:188) > at > org.apache.spark.rdd.DefaultPartitionCoalescer.coalesce(CoalescedRDD.scala:391) > at org.apache.spark.rdd.CoalescedRDD.getPartitions(CoalescedRDD.scala:91) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:250) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2094) > at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) > at org.apache.spark.rdd.RDD.collect(RDD.scala:935) > at > org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:278) -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org