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Posted to issues@spark.apache.org by "Ajith S (JIRA)" <ji...@apache.org> on 2019/03/15 01:18:00 UTC
[jira] [Commented] (SPARK-27164) RDD.countApprox on empty RDDs
schedules jobs which never complete
[ https://issues.apache.org/jira/browse/SPARK-27164?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16793222#comment-16793222 ]
Ajith S commented on SPARK-27164:
---------------------------------
i will be working on this
> RDD.countApprox on empty RDDs schedules jobs which never complete
> ------------------------------------------------------------------
>
> Key: SPARK-27164
> URL: https://issues.apache.org/jira/browse/SPARK-27164
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.3, 2.4.0
> Environment: macOS, Spark-2.4.0 with Hadoop 2.7 running on Java 11.0.1
> Also observed on:
> macOS, Spark-2.2.3 with Hadoop 2.7 running on Java 1.8.0_151
> Reporter: Ryan Moore
> Priority: Major
> Attachments: Screen Shot 2019-03-14 at 1.49.19 PM.png
>
>
> When calling `countApprox` on an RDD which has no partitions (such as those created by `sparkContext.emptyRDD`) a job is scheduled with 0 stages and 0 tasks. That job appears under the "Active Jobs" in the Spark UI until it is either killed or the Spark context is shut down.
>
> {code:java}
> Using Scala version 2.11.12 (OpenJDK 64-Bit Server VM, Java 11.0.1)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala> val ints = sc.makeRDD(Seq(1))
> ints: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD[0] at makeRDD at <console>:24
> scala> ints.countApprox(1000)
> res0: org.apache.spark.partial.PartialResult[org.apache.spark.partial.BoundedDouble] = (final: [1.000, 1.000])
> // PartialResult is returned, Scheduled job completed
> scala> ints.filter(_ => false).countApprox(1000)
> res1: org.apache.spark.partial.PartialResult[org.apache.spark.partial.BoundedDouble] = (final: [0.000, 0.000])
> // PartialResult is returned, Scheduled job completed
> scala> sc.emptyRDD[Int].countApprox(1000)
> res5: org.apache.spark.partial.PartialResult[org.apache.spark.partial.BoundedDouble] = (final: [0.000, 0.000])
> // PartialResult is returned, Scheduled job is ACTIVE but never completes
> scala> sc.union(Nil : Seq[org.apache.spark.rdd.RDD[Int]]).countApprox(1000)
> res16: org.apache.spark.partial.PartialResult[org.apache.spark.partial.BoundedDouble] = (final: [0.000, 0.000])
> // PartialResult is returned, Scheduled job is ACTIVE but never completes
> {code}
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