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Posted to issues@hive.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/12/15 07:23:00 UTC

[jira] [Work logged] (HIVE-24893) Download data from Thriftserver through JDBC

     [ https://issues.apache.org/jira/browse/HIVE-24893?focusedWorklogId=696409&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-696409 ]

ASF GitHub Bot logged work on HIVE-24893:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 15/Dec/21 07:22
            Start Date: 15/Dec/21 07:22
    Worklog Time Spent: 10m 
      Work Description: wangyum opened a new pull request #2878:
URL: https://github.com/apache/hive/pull/2878


   ### What changes were proposed in this pull request?
   
   Add `UploadData` and `DownloadData` to TCLIService.thrift.
   
   ### Why are the changes needed?
   
   It is very useful to support downloading large amounts of data (such as more than 50GB) through JDBC.
   
   Snowflake has similar support :
   https://docs.snowflake.com/en/user-guide/jdbc-using.html#label-jdbc-download-from-stage-to-stream
   https://github.com/snowflakedb/snowflake-jdbc/blob/95a7d8a03316093430dc3960df6635643208b6fd/src/main/java/net/snowflake/client/jdbc/SnowflakeConnectionV1.java#L886
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   // TODO


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Issue Time Tracking
-------------------

            Worklog Id:     (was: 696409)
    Remaining Estimate: 0h
            Time Spent: 10m

> Download data from Thriftserver through JDBC
> --------------------------------------------
>
>                 Key: HIVE-24893
>                 URL: https://issues.apache.org/jira/browse/HIVE-24893
>             Project: Hive
>          Issue Type: New Feature
>          Components: HiveServer2, JDBC
>    Affects Versions: 4.0.0
>            Reporter: Yuming Wang
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> It is very useful to support downloading large amounts of data (such as more than 50GB) through JDBC.
> Snowflake has similar support :
> https://docs.snowflake.com/en/user-guide/jdbc-using.html#label-jdbc-download-from-stage-to-stream
> https://github.com/snowflakedb/snowflake-jdbc/blob/95a7d8a03316093430dc3960df6635643208b6fd/src/main/java/net/snowflake/client/jdbc/SnowflakeConnectionV1.java#L886



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