What are the data types in Apache Pig?
What are the data types in Apache Pig?
Pig has three complex data types: maps, tuples, and bags. All of these types can contain data of any type, including other complex types. So it is possible to have a map where the value field is a bag, which contains a tuple where one of the fields is a map.
How is data represented in pigs?
Any single value in Pig Latin, irrespective of their data, type is known as an Atom. It is stored as string and can be used as string and number. int, long, float, double, chararray, and bytearray are the atomic values of Pig. A piece of data or a simple atomic value is known as a field.
Which data type is a set of key value pairs in pig?
map
Simple and Complex
| Simple Types | Description | Example |
|---|---|---|
| Complex Types | ||
| tuple | An ordered set of fields. | (19,2) |
| bag | An collection of tuples. | {(19,2), (18,1)} |
| map | A set of key value pairs. | [open#apache] |
What is data flow language in pig?
Pig–Pig is a data-flow language for expressing Map/Reduce programs for analyzing large HDFS distributed datasets. Pig provides relational (SQL) operators such as JOIN, Group By, etc. Pig is also having easy to plug in Java functions.
Apache Pig supports many data types. A list of Apache Pig Data Types with description and examples are given below.
What can Apache Pig be used for in Hadoop?
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 Apache Pig.
Which is the best application for Apache Pig?
Applications of Apache Pig 1 To process huge data sources such as web logs. 2 To perform data processing for search platforms. 3 To process time sensitive data loads.
What’s the difference between Apache Pig and MapReduce?
Handles all kinds of data − Apache Pig analyzes all kinds of data, both structured as well as unstructured. It stores the results in HDFS. Listed below are the major differences between Apache Pig and MapReduce. Apache Pig is a data flow language. MapReduce is a data processing paradigm. It is a high level language.