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What is the difference between Pig Latin and HiveQL?

What is the difference between Pig Latin and HiveQL?

Hive is built on the top of Hadoop and is used to process structured data in Hadoop….Difference between Pig and Hive :

S.No. Pig Hive
2. Pig uses pig-latin language. Hive uses HiveQL language.
3. Pig is a Procedural Data Flow Language. Hive is a Declarative SQLish Language.

How do you make a pig script?

Executing Pig Script in Batch mode

  1. Write all the required Pig Latin statements in a single file. We can write all the Pig Latin statements and commands in a single file and save it as . pig file.
  2. Execute the Apache Pig script. You can execute the Pig script from the shell (Linux) as shown below. Local mode.

Which language is used in pig?

Pig Latin
Apache Pig Vs Hive

Apache Pig Hive
Apache Pig uses a language called Pig Latin. It was originally created at Yahoo. Hive uses a language called HiveQL. It was originally created at Facebook.
Pig Latin is a data flow language. HiveQL is a query processing language.

What is the purpose of the pig programming language?

Pig is a high-level programming language useful for analyzing large data sets. A pig was a result of development effort at Yahoo! In a MapReduce framework, programs need to be translated into a series of Map and Reduce stages. However, this is not a programming model which data analysts are familiar with.

What kind of language does Apache Pig use?

Apache Pig is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin.

How is Pig Latin used in Java and Python?

Pig Latin abstracts the programming from the Java MapReduce idiom into a notation which makes MapReduce programming high level, similar to that of SQL for relational database management systems. Pig Latin can be extended using user-defined functions (UDFs) which the user can write in Java, Python, JavaScript,…

How does the foul language filter work on TV?

When an offensive word is detected, it mutes the sound for the duration of the sentence. See the TVGuardian 501 HD and the TVGuardian LT. TVGuardian continuously monitors for foul language by reading the closed-captions data, just slightly ahead of the spoken words.