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https://issues.apache.org/jira/browse/PIG-1104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12786809#action_12786809
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Hadoop QA commented on PIG-1104:
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+1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12426998/PIG-1104.patch
against trunk revision 887806.
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 20 new or modified tests.
+1 javadoc. The javadoc tool did not generate any warning messages.
+1 javac. The applied patch does not increase the total number of javac
compiler warnings.
+1 findbugs. The patch does not introduce any new Findbugs warnings.
+1 release audit. The applied patch does not increase the total number of
release audit warnings.
+1 core tests. The patch passed core unit tests.
+1 contrib tests. The patch passed contrib unit tests.
Test results:
http://hudson.zones.apache.org/hudson/job/Pig-Patch-h8.grid.sp2.yahoo.net/101/testReport/
Findbugs warnings:
http://hudson.zones.apache.org/hudson/job/Pig-Patch-h8.grid.sp2.yahoo.net/101/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Console output:
http://hudson.zones.apache.org/hudson/job/Pig-Patch-h8.grid.sp2.yahoo.net/101/console
This message is automatically generated.
> [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, 0.7.0
>
> Attachments: PIG-1104.patch
>
>
> 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
> org.apache.hadoop.zebra.mapred.TableInputFormat
> 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 (BytesWritable,Tuple).
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