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Posted to issues@spark.apache.org by "Ajith S (Jira)" <ji...@apache.org> on 2020/01/12 06:37:00 UTC
[jira] [Comment Edited] (SPARK-30484) Job History Storage Tab does
not display RDD Table
[ https://issues.apache.org/jira/browse/SPARK-30484?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17013656#comment-17013656 ]
Ajith S edited comment on SPARK-30484 at 1/12/20 6:36 AM:
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This is not a issue. As SparkListenerBlockUpdated is filtered by default for performance reasons, set spark.eventLog.logBlockUpdates.enabled=true to view storage information
was (Author: ajithshetty):
As SparkListenerBlockUpdated is filtered by default for performance reasons, set spark.eventLog.logBlockUpdates.enabled=true to view storage information
> Job History Storage Tab does not display RDD Table
> --------------------------------------------------
>
> Key: SPARK-30484
> URL: https://issues.apache.org/jira/browse/SPARK-30484
> Project: Spark
> Issue Type: Bug
> Components: Web UI
> Affects Versions: 3.0.0
> Reporter: ABHISHEK KUMAR GUPTA
> Priority: Major
>
> scala> import org.apache.spark.storage.StorageLevel._
> import org.apache.spark.storage.StorageLevel._
> scala> val rdd = sc.range(0, 100, 1, 5).setName("rdd")
> rdd: org.apache.spark.rdd.RDD[Long] = rdd MapPartitionsRDD[1] at range at <console>:27
> scala> rdd.persist(MEMORY_ONLY_SER)
> res0: rdd.type = rdd MapPartitionsRDD[1] at range at <console>:27
> scala> rdd.count
> res1: Long = 100
> scala> val df = Seq((1, "andy"), (2, "bob"), (2, "andy")).toDF("count", "name")
> df: org.apache.spark.sql.DataFrame = [count: int, name: string]
> scala> df.persist(DISK_ONLY)
> res2: df.type = [count: int, name: string]
> scala> df.count
> res3: Long = 3
> Open Storage Tab under Incomplete Jobs in Job History Page
> UI will not display the RDD Table.
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