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Feb 22, 2021 · Apache Pig is a high-level language and infrastructure for parallel data analysis, based on Map-Reduce. Learn how to use Pig, get involved in the project, and see the latest news and releases.
- Releases
4 July, 2014: release 0.13.0 available . This release...
- About
What is Apache Pig? Apache Pig is a platform for analyzing...
- Pig Philosophy
The Apache Pig Project has some founding principles that...
- Who We Are
Committers and PMC members who are no longer active on Pig...
- Overview
The Pig Documentation provides the information you need to...
- HowToContribute
Apache voting documentation; Picking Something to Work On....
- Pig Training
Pig Training. This document lists sites and vendors that...
- Getting Started
The Pig script file, pig, is located in the bin directory...
- Releases
May 14, 2023 · Learn what Apache Pig is, how it works, and why it is useful for processing big data. Compare Pig with MapReduce, and explore its features, evolution, and applications.
Learn Pig, a high-level data flow platform for executing MapReduce programs of Hadoop, with examples and concepts. Pig tutorial covers Pig installation, Pig run modes, Pig Latin, Pig data types, Pig user defined functions and more.
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How does Pig work in Hadoop?
- Running The Pig Scripts in Local Mode
- Running The Pig Scripts in MapReduce Mode, Tez Mode Or Spark Mode
- Pig Tutorial Files
- Pig Script 1: Query Phrase Popularity
- Pig Script 2: Temporal Query Phrase Popularity
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To run the Pig scripts in local mode, do the following: 1. Move to the pigtmp directory. 2. Execute the following command (using either script1-local.pig or script2-local.pig). $ pig -x local script1-local.pigOr if you are using Tez local mode:$ pig -x tez_local script1-local.pigOr if you are using Spark local mode:$ pig -x spark_local script1-loca...
To run the Pig scripts in mapreduce mode, do the following: 1. Move to the pigtmp directory. 2. Copy the excite.log.bz2 file from the pigtmp directory to the HDFS directory.$ hadoop fs –copyFromLocal excite.log.bz2 . 3. Set the PIG_CLASSPATH environment variable to the location of the cluster configuration directory (the directory that contains the...
The contents of the Pig tutorial file (pigtutorial.tar.gz) are described here. The user defined functions (UDFs) are described here.
The Query Phrase Popularity script (script1-local.pig or script1-hadoop.pig) processes a search query log file from the Excite search engine and finds search phrases that occur with particular high frequency during certain times of the day. The script is shown here: 1. Register the tutorial JAR file so that the included UDFs can be called in the sc...
The Temporal Query Phrase Popularity script (script2-local.pig or script2-hadoop.pig) processes a search query log file from the Excite search engine and compares the occurrence of frequency of search phrases across two time periods separated by twelve hours. The script is shown here: 1. Register the tutorial JAR file so that the user defined funct...
Learn how to install, build, run and use Apache Pig, a high-level data-flow language for Hadoop. Explore Pig Latin statements, modes, execution, debugging, properties and examples.
Apache Pig is a platform that uses Pig Latin, a simple query algebra, to transform and process large data sets on a Hadoop cluster. Learn more about Pig's features, functions, and applications from the Pig wiki.
Apache Pig is an abstraction over MapReduce. It is a tool/platform which is used to analyze larger sets of data representing them as data flows. Pig is generally used with Hadoop; we can perform all the data manipulation operations in Hadoop using Pig.
Apache Pig is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark.
