[jira] [Updated] (SPARK-21776) How to use the memory-mapped file on Spark??

["zhaP524 (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21776?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

zhaP524 updated SPARK-21776:
----------------------------
    Remaining Estimate: 12h
     Original Estimate: 12h

> How to use the memory-mapped file on Spark??
> --------------------------------------------
>
>                 Key: SPARK-21776
>                 URL: https://issues.apache.org/jira/browse/SPARK-21776
>             Project: Spark
>          Issue Type: Improvement
>          Components: Block Manager, Documentation, Input/Output, Spark Core
>    Affects Versions: 2.1.1
>         Environment: Spark 2.1.1 
> Scala 2.11.8
>            Reporter: zhaP524
>            Priority: Trivial
>         Attachments: screenshot-1.png, screenshot-2.png
>
>   Original Estimate: 12h
>  Remaining Estimate: 12h
>
>       In generation, we have to use the Spark full quantity loaded HBase table based on one dimension table to generate business, because the base table is total quantity loaded, the memory will pressure is very big, I want to see if the Spark can use this way to deal with memory mapped file?Is there such a mechanism?How do you use it?
>       And I found in the Spark a parameter: spark.storage.memoryMapThreshold=2m, is not very clear what this parameter is used for?
>        There is a putBytes and getBytes method in DiskStore.scala with Spark source code, is this the memory-mapped file mentioned above?How to understand?
>        Let me know if you have any trouble..
> Wish to You!!



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