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Posted to issues@hive.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/08/03 15:01:00 UTC

[jira] [Work logged] (HIVE-23949) Introduce caching layer in HS2 to accelerate query compilation

     [ https://issues.apache.org/jira/browse/HIVE-23949?focusedWorklogId=465733&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-465733 ]

ASF GitHub Bot logged work on HIVE-23949:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 03/Aug/20 15:00
            Start Date: 03/Aug/20 15:00
    Worklog Time Spent: 10m 
      Work Description: jcamachor closed pull request #1317:
URL: https://github.com/apache/hive/pull/1317


   


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

    Worklog Id:     (was: 465733)
    Time Spent: 50m  (was: 40m)

> Introduce caching layer in HS2 to accelerate query compilation
> --------------------------------------------------------------
>
>                 Key: HIVE-23949
>                 URL: https://issues.apache.org/jira/browse/HIVE-23949
>             Project: Hive
>          Issue Type: New Feature
>          Components: HiveServer2
>            Reporter: Soumyakanti Das
>            Assignee: Soumyakanti Das
>            Priority: Minor
>              Labels: pull-request-available
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> One of the major contributors to compilation latency is the retrieval of metadata from HMS. This JIRA introduces a caching layer in HS2 for this metadata. Its design is simple, relying on snapshot information being queried to cache and invalidate the metadata. This will help us to reduce the time spent in compilation by using HS2 memory more effectively, and it will allow us to improve HMS throughput for multi-tenant workloads by reducing the number of calls it needs to serve.
> This patch only caches partition retrieval information, which is often one of the most costly metadata operations. It also sets the foundation to cache additional calls in follow-up work.



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