[zebra] Provide streaming support in Zebra.

                 Key: PIG-1104
                 URL: https://issues.apache.org/jira/browse/PIG-1104
             Project: Pig
          Issue Type: New Feature
    Affects Versions: 0.4.0
            Reporter: Chao Wang
            Assignee: Chao Wang
             Fix For: 0.6.0

Hadoop streaming is very popular among Hadoop users. The main attraction is the 
simplicity of use. A user can write the application logic in any language and 
process large amounts of data using Hadoop framework. As more people start to 
use Zebra to store their data, we expect users would like to run Hadoop 
streaming scripts to easily process Zebra tables. 

The following lists a simple example of using Hadoop streaming to access Zebra 
data. It loads data from foo table using Zebra's TableInputFormat and then 
writes the data into output using default TextOutputFormat. 

$ hadoop jar hadoop-streaming.jar -D mapred.reduce.tasks=0 -input foo -output 
output -mapper 'cat' -inputformat 

More detailed, Zebra uses Pig DefaultTuple implementation of Tuple for its 
records. Currently, when Zebra's TableInputFormat is used for input, the user 
script sees each line containing " key_if_any\tTuple.toString() ". We plan to 
generate CSV format representation of our Pig tuples. To this end, we plan to 
do the following: 

1) Derive a sub class ZupleTuple from pig's DefaultTuple class and override its 
toString() method to present the data into CSV format. 

2) On Zebra side, the tuple factory should be changed to create ZebraTuple 
objects, instead of DefaultTuple objects. 

Note that we can only support streaming on the input side - ability to use 
streaming to read data from Zebra tables. For the output side, the streaming 
support is not feasible, since the streaming mapper or reducer only emits 
"Text\tText", the output collector has no way of knowing how to convert this to 

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