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https://issues.apache.org/jira/browse/SPARK-2016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14080542#comment-14080542
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Carlos Fuertes commented on SPARK-2016:
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I have created a pull request https://github.com/apache/spark/pull/1682 that
deals with this issue. The idea follow the discussion of issue SPARK-2017 where
the data for the tables is served as JSON and later rendered javascript.
See https://issues.apache.org/jira/browse/SPARK-2017 for all the discussion.
> rdd in-memory storage UI becomes unresponsive when the number of RDD
> partitions is large
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-2016
> URL: https://issues.apache.org/jira/browse/SPARK-2016
> Project: Spark
> Issue Type: Sub-task
> Reporter: Reynold Xin
> Labels: starter
>
> Try run
> {code}
> sc.parallelize(1 to 100, 1000000).cache().count()
> {code}
> And open the storage UI for this RDD. It takes forever to load the page.
> When the number of partitions is very large, I think there are a few
> alternatives:
> 0. Only show the top 1000.
> 1. Pagination
> 2. Instead of grouping by RDD blocks, group by executors
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