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https://issues.apache.org/jira/browse/CARBONDATA-3492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Akash R Nilugal updated CARBONDATA-3492:
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Attachment: Cache_Pre_Priming_L1.pdf
> Cache Pre-Priming
> -----------------
>
> Key: CARBONDATA-3492
> URL:
https://issues.apache.org/jira/browse/CARBONDATA-3492> Project: CarbonData
> Issue Type: Bug
> Reporter: Akash R Nilugal
> Priority: Major
> Attachments: Cache_Pre_Priming_L1.pdf
>
>
> Currently, we have an index server which basically helps in distributed caching of the datamaps in a separate spark application.
> The caching of the datamaps in index server will start once the query is fired on the table for the first time, all the datamaps will be loaded
> if the count(*) is fired and only required will be loaded for any filter query.
> Here the problem or the bottleneck is, until and unless the query is fired on table, the caching won’t be done for the table datamaps.
> So consider a scenario where we are just loading the data to table for whole day and then next day we query,
> so all the segments will start loading into cache. So first time the query will be slow.
> What if we load the datamaps into cache or preprime the cache without waititng for any query on the table?
> Yes, what if we load the cache after every load is done, what if we load the cache for all the segments at once,
> so that first time query need not do all this job, which makes it faster.
> Here i have attached the design document for the pre-priming of cache into index server. Please have a look at it
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