Table of Contents
- 1 What is the difference between Pig and Hive?
- 2 What is the relationship between hive and MapReduce?
- 3 What is pig and MapReduce?
- 4 What is the difference between MapReduce and Apache Pig?
- 5 What is the difference between Hive and SQL?
- 6 What is Pig application?
- 7 What is the difference between Hadoop MapReduce and Apache Pig and Hive?
- 8 What is the difference between MapReduce and pig language?
- 9 What is the difference between hive and pig?
What is the difference between Pig and Hive?
Pig is used to perform all kinds of data manipulation operations in Hadoop. It provides the Pig-Latin language to write the code that contains many inbuilt functions like join, filter, etc. The two parts of the Apache Pig are Pig-Latin and Pig-Engine….Difference between Pig and Hive :
| S.No. | Pig | Hive |
|---|---|---|
| 12. | It does not support ODBC. | It supports ODBC. |
What is the relationship between hive and MapReduce?
Map Reduce is the framework used to process the data which is stored in the HDFS, here java native language is used to writing Map Reduce programs. Hive is a batch processing framework. This component process the data using a language called Hive Query Language(HQL). Hive prevents writing MapReduce programs in Java.
How is Hive different from Java?
Hive: Hive is an application that runs over the Hadoop framework and provides SQL like interface for processing/query the data….Difference Between Hadoop and Hive.
| Hadoop | Hive |
|---|---|
| Hadoop understands SQL using Java-based Map Reduce only. | Hive works on SQL Like query |
What is pig and MapReduce?
Pig is a scripting language used for exploring large data sets. As Pig is scripting we can achieve the functionality by writing very few lines of code. MapReduce is a solution for scaling data processing. MapReduce is not a program, it is a framework to write distributed data processing programs.
What is the difference between MapReduce and Apache Pig?
Hadoop MapReduce is a compiled language whereas Apache Pig is a scripting language and Hive is a SQL like query language. Pig and Hive provide higher level of abstraction whereas Hadoop MapReduce provides low level of abstraction. Hadoop MapReduce requires more lines of code when compared to Pig and Hive.
Why are pigs used?
Pigs are found and raised all over the world, and provide valuable products to humans, including pork, lard, leather, glue, fertilizer, and a variety of medicines. Most pigs raised in the United States are classified as meat-type pigs, as they produce more lean meat than lard, a fat used in cooking.
What is the difference between Hive and SQL?
Hive gives an interface like SQL to query data stored in various databases and file systems that integrate with Hadoop….Difference between RDBMS and Hive:
| RDBMS | Hive |
|---|---|
| It uses SQL (Structured Query Language). | It uses HQL (Hive Query Language). |
| Schema is fixed in RDBMS. | Schema varies in it. |
What is Pig application?
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. The result of Pig always stored in the HDFS.
What are differences between MapReduce and Apache Pig?
What is the difference between Hadoop MapReduce and Apache Pig and Hive?
Hadoop MapReduce is a compiled language whereas Apache Pig is a scripting language and Hive is a SQL like query language. Pig and Hive provide higher level of abstraction whereas Hadoop MapReduce provides low level of abstraction. Hadoop MapReduce requires more lines of code when compared to Pig and Hive.
What is the difference between MapReduce and pig language?
Pig is a scripting language used for exploring large data sets. Pig Latin is a Hadoop extension that simplifies Hadoop programming by giving a high-level data processing language. As Pig is scripting we can achieve the functionality by writing very few lines of code. MapReduce is a solution for scaling data processing.
How do you write a MapReduce query in hive?
For writing queries for MapReduce in SQL fashion, the Hive compiler converts them in the background to be executed in the Hadoop cluster. It helps the programmers to use their SQL knowledge rather than focusing on developing a new language. Provide SQL type language which is called HQL.
What is the difference between hive and pig?
Hive can process structured data but you can process semi structured data also with the help of serde. Pig on the other hand can process any kind of data whether it’s structured or unstructured. It’s the same way like pig can eat anything. Hive have more like SQL syntax while pig uses pig Latin.