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Posted to issues@hive.apache.org by "Amruth S (JIRA)" <ji...@apache.org> on 2017/12/28 16:56:00 UTC

[jira] [Commented] (HIVE-18338) [Client, JDBC] Expose async interface through hive JDBC.

    [ https://issues.apache.org/jira/browse/HIVE-18338?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16305589#comment-16305589 ] 

Amruth S commented on HIVE-18338:
---------------------------------

[~ashutoshc]/[~ngangam]/[~thejas]/[~vgumashta], Can one of you guys kindly review this?

> [Client, JDBC] Expose async interface through hive JDBC.
> --------------------------------------------------------
>
>                 Key: HIVE-18338
>                 URL: https://issues.apache.org/jira/browse/HIVE-18338
>             Project: Hive
>          Issue Type: Improvement
>          Components: Clients, JDBC
>    Affects Versions: 2.3.2
>            Reporter: Amruth S
>            Assignee: Amruth S
>            Priority: Minor
>              Labels: pull-request-available
>         Attachments: HIVE-18338.patch, HIVE-18338.patch.1, HIVE-18338.patch.2, HIVE-18338.patch.3
>
>
> Lot of users are struggling and rewriting a lot of boiler plate over thrift to get pure asynchronous capability. 
> The idea is to expose operation handle, so that clients can persist it and later can latch on to the same execution.
> *Problem statement*
> Hive JDBC currently exposes 2 methods related to asynchronous execution
> *executeAsync()* - to trigger a query execution and return immediately.
> *waitForOperationToComplete()* - which waits till the current execution is complete *blocking the user thread*.
> This has one problem
> If the client process goes down, there is no way to resume queries although hive server is completely asynchronous.
> *Proposal*
> If operation handle could be exposed, we can latch on to an active execution of a query.
> *Code changes*
> Operation handle is exposed. So client can keep a copy.
> latchSync() and latchAsync() methods take an operation handle and try to latch on to the current execution in hive server if present



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