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https://issues.apache.org/jira/browse/SPARK-29337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-29337.
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    Resolution: Invalid

Questions should go to stackoverflow or mailing list.

> How to Cache Table and Pin it in Memory and should not Spill to Disk on 
> Thrift Server 
> --------------------------------------------------------------------------------------
>
>                 Key: SPARK-29337
>                 URL: https://issues.apache.org/jira/browse/SPARK-29337
>             Project: Spark
>          Issue Type: Question
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: Srini E
>            Priority: Major
>         Attachments: Cache+Image.png
>
>
> Hi Team,
> How to pin the table in cache so it would not swap out of memory?
> Situation: We are using Microstrategy BI reporting. Semantic layer is built. 
> We wanted to Cache highly used tables into CACHE using Spark SQL CACHE Table 
> <table_name>; we did cache for SPARK context( Thrift server). Please see 
> below snapshot of Cache table, went to disk over time. Initially it was all 
> in cache , now some in cache and some in disk. That disk may be local disk 
> relatively more expensive reading than from s3. Queries may take longer and 
> inconsistent times from user experience perspective. If More queries running 
> using Cache tables, copies of the cache table images are copied and copies 
> are not staying in memory causing reports to run longer. so how to pin the 
> table so would not swap to disk. Spark memory management is dynamic 
> allocation, and how to use those few tables to Pin in memory .



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