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https://issues.apache.org/jira/browse/SPARK-3349?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust resolved SPARK-3349.
-------------------------------------
Resolution: Fixed
Fix Version/s: 1.2.0
> Incorrect partitioning after LIMIT operator
> -------------------------------------------
>
> Key: SPARK-3349
> URL: https://issues.apache.org/jira/browse/SPARK-3349
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Eric Liang
> Assignee: Eric Liang
> Fix For: 1.2.0
>
>
> Reproduced by the following example:
> {code}
> import org.apache.spark.sql.catalyst.plans.Inner
> import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
> import org.apache.spark.sql.catalyst.expressions._
> val series = sql("select distinct year from sales order by year asc limit 10")
> val results = sql("select * from sales")
> series.registerTempTable("series")
> results.registerTempTable("results")
> sql("select * from results inner join series where results.year =
> series.year").count
> -----------
> java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of
> partitions
> at
> org.apache.spark.rdd.ZippedPartitionsBaseRDD.getPartitions(ZippedPartitionsRDD.scala:56)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
> at
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
> at
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
> at
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
> at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:79)
> at
> org.apache.spark.rdd.ShuffledRDD.getDependencies(ShuffledRDD.scala:80)
> at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:191)
> at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:189)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.dependencies(RDD.scala:189)
> at
> org.apache.spark.scheduler.DAGScheduler.visit$1(DAGScheduler.scala:298)
> at
> org.apache.spark.scheduler.DAGScheduler.getParentStages(DAGScheduler.scala:310)
> at
> org.apache.spark.scheduler.DAGScheduler.newStage(DAGScheduler.scala:246)
> at
> org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:723)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1333)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
> at
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> at
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> {code}
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