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What is Pig?
- Pig is an open source high level dataflow system
Why is it important?
- Some form of ad-hoc processing and analysis of all of this information is required.
- Higher level procedural data flow language
- Similar to SQL query where the user specifies the what and leaves the "how" to the underlying processing engine
- A platform for analyzing large data sets that runs on top Hadoop
- Provides a high level language for expressing data analysis
- Uses both HDFS (read and write files) and MapReduce.
- High level scripting language
- Designed specifically for data transformation and flow expression
- The environment in which Pig Latin commands are executed
- Currently there is support for local and Hadoop modes.
- Pig interpreter converts Pig Latin to MapReduce
- Execute commands in a file
- $pig script_file.pig
- Interactive shell for executing Pig commands
- Started when script file is NOT provided
Pig Data type:
|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|
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 :
|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|