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Posted to issues@hive.apache.org by "anishek (JIRA)" <ji...@apache.org> on 2017/08/02 06:17:01 UTC

[jira] [Updated] (HIVE-16894) Multi-threaded execution of bootstrap dump of tables / functions

     [ https://issues.apache.org/jira/browse/HIVE-16894?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

anishek updated HIVE-16894:
---------------------------
    Description: 
after completing HIVE-16893 the bootstrap process will dump single table at a time and hence will be very time consuming while not optimally utilizing the available resources. Since there is no dependency between dumps of various tables we should be able to do this in parallel.

Bootstrap dump at db level does :
* boostrap of all tables (scope of current jira) 
** boostrap of all partitions in a table. 
* boostrap of all functions (scope of current jira) 


  was:
after completing HIVE-16893 the bootstrap process will dump single table at a time and hence will be very time consuming while not optimally utilizing the available resources. Since there is no dependency between dumps of various tables we should be able to do this in parallel.

Bootstrap dump at db level does :
* boostrap of all tables (scope of current jira) 
** boostrap of all partitions in a table. 
* boostrap of all functions


        Summary: Multi-threaded execution of bootstrap dump of tables / functions  (was: Multi-threaded execution of bootstrap dump of tables. )

> Multi-threaded execution of bootstrap dump of tables / functions
> ----------------------------------------------------------------
>
>                 Key: HIVE-16894
>                 URL: https://issues.apache.org/jira/browse/HIVE-16894
>             Project: Hive
>          Issue Type: Sub-task
>          Components: HiveServer2
>    Affects Versions: 3.0.0
>            Reporter: anishek
>            Assignee: anishek
>             Fix For: 3.0.0
>
>
> after completing HIVE-16893 the bootstrap process will dump single table at a time and hence will be very time consuming while not optimally utilizing the available resources. Since there is no dependency between dumps of various tables we should be able to do this in parallel.
> Bootstrap dump at db level does :
> * boostrap of all tables (scope of current jira) 
> ** boostrap of all partitions in a table. 
> * boostrap of all functions (scope of current jira) 



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