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https://issues.apache.org/jira/browse/PIG-1472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thejas M Nair updated PIG-1472:
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    Status: Open  (was: Patch Available)

> Optimize serialization/deserialization between Map and Reduce and between MR 
> jobs
> ---------------------------------------------------------------------------------
>
>                 Key: PIG-1472
>                 URL: https://issues.apache.org/jira/browse/PIG-1472
>             Project: Pig
>          Issue Type: Improvement
>    Affects Versions: 0.8.0
>            Reporter: Thejas M Nair
>            Assignee: Thejas M Nair
>             Fix For: 0.8.0
>
>         Attachments: PIG-1472.2.patch, PIG-1472.3.patch, PIG-1472.patch
>
>
> In certain types of pig queries most of the execution time is spent in 
> serializing/deserializing (sedes) records between Map and Reduce and between 
> MR jobs. 
> For example, if PigMix queries are modified to specify types for all the 
> fields in the load statement schema, some of the queries (L2,L3,L9, L10 in 
> pigmix v1) that have records with bags and maps being transmitted across map 
> or reduce boundaries run a lot longer (runtime increase of few times has been 
> seen.
> There are a few optimizations that have shown to improve the performance of 
> sedes in my tests -
> 1. Use smaller number of bytes to store length of the column . For example if 
> a bytearray is smaller than 255 bytes , a byte can be used to store the 
> length instead of the integer that is currently used.
> 2. Instead of custom code to do sedes on Strings, use DataOutput.writeUTF and 
> DataInput.readUTF.  This reduces the cost of serialization by more than 1/2. 
> Zebra and BinStorage are known to use DefaultTuple sedes functionality. The 
> serialization format that these loaders use cannot change, so after the 
> optimization their format is going to be different from the format used 
> between M/R boundaries.

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