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Apache Pig
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Created by
Gavin McDonald
, last modified by
Daniel Dai
on
Sep 02, 2011
Apache Pig
is a platform for analyzing large data sets. Pig's language, Pig Latin, lets you specify a sequence of data transformations such as merging data sets, filtering them, and applying functions to records or groups of records. Pig comes with many built-in functions but you can also create your own user-defined functions to do special-purpose processing.
Pig Latin programs run in a distributed fashion on a cluster (programs are complied into Map/Reduce jobs and executed using Hadoop). For quick prototyping, Pig Latin programs can also run in "local mode" without a cluster (all processing takes place in a single local JVM).
Do you Pig? At Yahoo! 40% of all Hadoop jobs are run with Pig. Come join us!
General Information
Why Pig Latin instead of SQL?
Pig Latin: A Not-So-Foreign Language ...
Official Apache Pig Website
PigTalksPapers
- Pig talks, papers, interviews
- a (partial) list of companies using Pig
Pig book:
Programming Pig
User Documentation
User Documentation
PiggyBank
- User-defined functions (UDFs) contributed by Pig users!
PigTools
- Tools Pig users have built around and on top of Pig.
PigInteroperability
- How to make Pig work with other platforms you may be using, such as HBase and Cassandra.
Penny
- A distributed debugging framework for Pig.
Pig Tutorial
FAQ
Developer Documentation
How tos
HowToDocument
HowToContribute
HowToCommit
HowToRelease
HowToTest
How to set up Eclipse environment
Road map
Pig Journal
Specification Proposals
PigErrorHandlingFunctionalSpecification
PigTestProposal
Design proposals
PigInMapCombinerProposal
Guide for new contributors
Related Resources
Hadoop Core
Hadoop Wiki
Link to old Pig wiki
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