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What is Pig?


  1. Pig is an open source high level dataflow system


Why is it important?


  1. Some form of ad-hoc processing and analysis of all of this information is required.
  2. Higher level procedural data flow language
  3. Similar to SQL query where the user specifies the what and leaves the "how" to the underlying processing engine


Pig Characteristics


  1. A platform for analyzing large data sets that runs on top Hadoop
  2. Provides a high level language for expressing data analysis
  3. Uses both HDFS (read and write files) and MapReduce.


Pig Elements:


Pig Latin: 

  1. High level scripting language
  2. Designed specifically for data transformation and flow expression

Grunt:

  1. The environment in which Pig Latin commands are executed
  2. Currently there is support for local and Hadoop modes.

Pig Interpreter:

  1. Pig interpreter converts Pig Latin to MapReduce


Running PIG


Script:

  1. Execute commands in a file
  2. $pig script_file.pig

Grunt:

  1. Interactive shell for executing Pig commands
  2. Started when script file is NOT provided


Pig Data type:


DATA TYPE
DESCRIPTION
INT
Signed 32 bit integer
LONG
Signed 64 bit integer
FLOAT
32 bit floating point
DOUBLE
64 bit floating point
CHARARRAY
Character array in unicode UTF-8 format
BOOLEAN
Boolean
DATETIME
Datatime


Hadoop Pig architecture


client machine (pig job submission)
Pig -> map reduce transformations
Map Reduce Jobs
HDFS(hadoop distributed file system)



Difference between hapdoop mapreduce, pig and hive :


Pig
Hadoop Mapreduce
Hive
Scripting language
Compiled language
SQL like query language
Highter level of abstraction
Lower level of abstraction
Highter level of abstruction
Comparatively less lines of code than mapreduce
More lines of code
Comparatively less line of code than mapreduce and apache pig
Code efficiency is relatively-less
Code efficiency is relatively-high when compared to pig and hive.
Code efficiency is relatively-less



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