Raghu Angadi commented on PIG-833:

Thanks Jing. There are some PIG examples listed at the bottom of Zebra wiki : 
http://wiki.apache.org/pig/zebra (wiki is still under construction).

Just listing java strings in Jing's comment with out Jira formatting :

final static String STR_SCHEMA = 
     "s1:bool, s2:int, s3:long, s4:float, s5:string, s6:bytes, " +
     "r1:record(f1:int, f2:long), r2:record(r3:record(f3:float, f4)), " +
     "m1:map(string),m2:map(map(int)), c:collection(f13:double, f14:float, 

final static String STR_STORAGE = 
      "[s1, s2]; [m1#{a}]; [r1.f1]; [s3, s4, r2.r3.f3]; [s5, s6, m2#{x|y}];  " +
      "[r1.f2, m1#{b}]; [r2.r3.f4, m2#{z}]";

> Storage access layer
> --------------------
>                 Key: PIG-833
>                 URL: https://issues.apache.org/jira/browse/PIG-833
>             Project: Pig
>          Issue Type: New Feature
>            Reporter: Jay Tang
>         Attachments: hadoop20.jar.bz2, PIG-833-zebra.patch, 
> PIG-833-zebra.patch.bz2, PIG-833-zebra.patch.bz2, 
> TEST-org.apache.hadoop.zebra.pig.TestCheckin1.txt, test.out, zebra-javadoc.tgz
> A layer is needed to provide a high level data access abstraction and a 
> tabular view of data in Hadoop, and could free Pig users from implementing 
> their own data storage/retrieval code.  This layer should also include a 
> columnar storage format in order to provide fast data projection, 
> CPU/space-efficient data serialization, and a schema language to manage 
> physical storage metadata.  Eventually it could also support predicate 
> pushdown for further performance improvement.  Initially, this layer could be 
> a contrib project in Pig and become a hadoop subproject later on.

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