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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/03/03 11:00:47 UTC

[jira] [Updated] (SPARK-19792) In the Master Page,the column named “Memory per Node” ,I think it is not all right

     [ https://issues.apache.org/jira/browse/SPARK-19792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen updated SPARK-19792:
------------------------------
    Priority: Trivial  (was: Major)

Hm, I'm honestly not sure. Does this refer to the memory allocated to each executor by the worker, or, does it refer to the amount of memory the worker can assign to executors?

> In the Master Page,the column named “Memory per Node” ,I think  it is not all right
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-19792
>                 URL: https://issues.apache.org/jira/browse/SPARK-19792
>             Project: Spark
>          Issue Type: Bug
>          Components: Web UI
>    Affects Versions: 2.1.0
>            Reporter: liuxian
>            Priority: Trivial
>
> Open the spark web page,in the Master Page ,have two tables:Running Applications table and  Completed Applications table, to the column named “Memory per Node” ,I think it is not all right ,because a node may be not have only one executor.So I think that should be named as “Memory per Executor”.Otherwise easy to let the user misunderstanding



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