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.
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What is Apache Pig Latin?
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.
Is null Pig Latin?
Nulls and Pig Latin. In Pig Latin, nulls are implemented using the SQL definition of null as unknown or non-existent. Nulls can occur naturally in data or can be the result of an operation.
Is Apache Pig a language?
Pig is a high-level platform or tool which is used to process the large datasets. It provides a high-level of abstraction for processing over the MapReduce. It provides a high-level scripting language, known as Pig Latin which is used to develop the data analysis codes.
What is necessity of Pig Latin?
Why Do We Need Apache Pig? Programmers who are not so good at Java normally used to struggle working with Hadoop, especially while performing any MapReduce tasks. Apache Pig is a boon for all such programmers. Using Pig Latin, programmers can perform MapReduce tasks easily without having to type complex codes in Java.
What is hello in Pig Latin?
Basically, the Pig Latin system used here works as follows: You take the first letter of a word (e.g. Hello = H) and use the last letters (e.g. Hello = ello) and add ‘ay’ to the first letter (e.g. Hello = Ello hay). Words that start with a vowel (A, E, I, O, U) simply have “ay” appended to the end of the word.
What is Tokenize in Pig?
Advertisements. The TOKENIZE() function of Pig Latin is used to split a string (which contains a group of words) in a single tuple and returns a bag which contains the output of the split operation.
What is tuple in Pig?
A bag is a collection of tuples. A tuple is an ordered set of fields. A field is a piece of data.
What is the necessity of Pig Latin?
To write data analysis programs, Pig provides a high-level language known as Pig Latin. This language provides various operators using which programmers can develop their own functions for reading, writing, and processing data.
Why Pig is data flow language?
Pig Latin, a Parallel Data Flow Language. Pig Latin is a data flow language. This means it allows users to describe how data from one or more inputs should be read, processed, and then stored to one or more outputs in parallel.
What is flatten in Pig?
The FLATTEN operator looks like a UDF syntactically, but it is actually an operator that changes the structure of tuples and bags in a way that a UDF cannot. Flatten un-nests tuples as well as bags. The idea is the same, but the operation and result is different for each type of structure.