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Every piece of data in PIG has one of these four types:
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We denote tuples with <> bracketing Example of a hepde is Think of it as a “table”, except that pig does not require that the tuple field types match, or even that the tuples has the same no. of fields. Bag could be {} Think of it as a Hash map where X can be any of the 4 pig data types. A data map supports the expected get and put interface.| Other language | Ping |
| Int | Int |
| string | char array |
| float | float |
| long | long |
| double | double |
| boolean | boolean |
REGISTER- Register jar file with the pig runtime
DEFINE- Create an alias for a macro, UDF, Streaming script (or) command specification.
IMPORT- Import macros defined in separate file into a script.
Load: load data from the file system.
FILETER: Remove unwanted rows from a location
FOREACH: Particular column is displayed
GENERATE: Add or Remove fields from a Relation
GROUP: To group data in a single relation.
COGROUP: To group or join data in two or more relation
UNION: To merge the contents of two or more relations
SPLIT: To partition the contents of a relation into multiple relations
JOIN (Inner or Outer): To join the data in two or more relations
ORDER: Sort the relations by one or more fields
LIMIT: Limits the size of a relation to a maximum no. of tuples
Pig Latin provides operators that help you debug the pig latin statements.Frequently asked Hadoop Interview Questions
| Hadoop Adminstartion | MapReduce |
| Big Data On AWS | Informatica Big Data Integration |
| Bigdata Greenplum DBA | Informatica Big Data Edition |
| Hadoop Hive | Impala |
| Hadoop Testing | Apache Mahout |
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