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https://issues.apache.org/jira/browse/HIVE-22221?focusedWorklogId=315706&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-315706
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ASF GitHub Bot logged work on HIVE-22221:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 20/Sep/19 14:04
            Start Date: 20/Sep/19 14:04
    Worklog Time Spent: 10m 
      Work Description: ShubhamChaurasia commented on pull request #778: 
HIVE-22221: Llap external client - Need to reduce 
LlapBaseInputFormat#getSplits() footprint
URL: https://github.com/apache/hive/pull/778
 
 
   
 
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 315706)
    Remaining Estimate: 0h
            Time Spent: 10m

> Llap external client - Need to reduce LlapBaseInputFormat#getSplits() 
> footprint  
> ---------------------------------------------------------------------------------
>
>                 Key: HIVE-22221
>                 URL: https://issues.apache.org/jira/browse/HIVE-22221
>             Project: Hive
>          Issue Type: Bug
>          Components: llap, UDF
>            Reporter: Shubham Chaurasia
>            Assignee: Shubham Chaurasia
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> While querying through llap external client, LlapBaseInputFormat#getSplits() 
> invokes get_splits() (GenericUDTFGetSplits) udtf under the hoods.
> GenericUDTFGetSplits returns LlapInputSplit in which planBytes[] occupies 
> around 90% of the split size.
> Depending on data size/partitions and plan,  LlapInputSplit can grow upto 1mb 
> with planBytes[] being common to all the splits and occupying more than 850 
> kb. Also, it sometimes causes OOM on HS2 depending on HS2 heap size.
> This can be resolved by separating out common parts from actual splits and 
> reassembling them at client side. 
> We can also provide an option where client can say it does not want to 
> reassemble them and can take the control of reassembling in it's hands.
> Splits can be broken like:
> 1) schema split
> 2) plan split
> 3) actual split 1
> 4) actual split 2....and so on.
> This greatly reduces the memory(in my case from 5GB(~5000 splits) to around 
> 15MB) on server side  and hence the data transfer. And this eliminates OOM on 
> HS2 side.
> cc [~jdere] [~sankarh] [~thejas]



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