Is hive ANSI SQL compliant?

Hive* will probably never support OLTP-type SQL, in which the system updates or modifies a single row at a time, due to limitations of the underlying Apache* Hadoop* Distributed File System. Note: ANSI SQL-92 is the third revision of the SQL database query language.

Considering this, what SQL does hive use?

Hive was initially developed at Facebook to summarize, query, and analyze large amounts of data stored on a distributed file system. Hive makes it easy for non-programmers to read, write, and manage large datasets residing in distributed Hadoop storage using HiveQL SQL-like queries.

Additionally, does spark SQL use hive? Hive Integration. Spark SQL supports Apache Hive using HiveContext . It uses the Spark SQL execution engine to work with data stored in Hive.

Similarly one may ask, is hive similar to SQL?

Featurewise technical difference between Hive, Pig, and SQL. Hive - Apache Hive uses HiveQL, a declarative language. Hive is built on Hadoop and it is an open source project to analyze query datasets. HiveQL is a language that is similar to SQL, it converts the queries into MapReduce programmes.

Does Hive support subqueries?

Currently Hive doesn't support subqueries in a SELECT statement, for example, the following query will not run on Hive: Recently a lot of work has been done to extend support for subqueries (HIVE-15456). But this work primarily targeted extending subquery support in WHERE and HAVING clauses.

39 Related Question Answers Found

Is hive a SQL or NoSQL?

Hive and HBase are two different Hadoop based technologies — Hive is an SQL-like engine that runs MapReduce jobs, and HBase is a NoSQL key/value database on Hadoop. Just like Google can be used for search and Facebook for social networking, Hive can be used for analytical queries while HBase for real-time querying.

Can hive run without Hadoop?

Hadoop is like a core, and Hive need some library from it. Update This answer is out-of-date : with Hive on Spark it is no longer necessary to have hdfs support. Hive requires hdfs and map/reduce so you will need them. But the gist of it is: hive needs hadoop and m/r so in some degree you will need to deal with it.

Is hive a programming language?

Hive is an open source-software that lets programmers analyze large data sets on Hadoop. Hive evolved as a data warehousing solution built on top of Hadoop Map-Reduce framework. Hive provides SQL-like declarative language, called HiveQL, which is used for expressing queries.

Is hive still used?

Hive was open sourced in August 2008 and since then has been used and explored by a number of Hadoop users for their data processing needs.

Is hive a data warehouse?

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives a SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.

Where is Hive data stored?

2 Answers. Hive data are stored in one of Hadoop compatible filesystem: S3, HDFS or other compatible filesystem. Hive metadata are stored in RDBMS like MySQL. The location of Hive tables data in S3 or HDFS can be specified for both managed and external tables.

Can hive replace Rdbms?

RDBMS can be replaced by Hive.

Is hive a query engine?

A project of the Apache Software Foundation, Apache Hive is a query engine that acts as an interface into Hadoop MapReduce (among other execution engines like Tez). With hive it is possible to perform data analysis on large datasets via SQL, or rather HiveQL, which is very similar.

Is hive a database?

Hive is an ETL and data warehouse tool on top of Hadoop ecosystem and used for processing structured and semi structured data. Hive is a database present in Hadoop ecosystem performs DDL and DML operations, and it provides flexible query language such as HQL for better querying and processing of data.

Does pig use MapReduce?

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.

Why pig is faster than Hive?

Pig vs.

Apache Pig is 36% faster than Apache Hive for join operations on datasets. Apache Pig is 46% faster than Apache Hive for arithmetic operations. Apache Pig is 10% faster than Apache Hive for filtering 10% of the data. Apache Pig is 18% faster than Apache Hive for filtering 90% of the data.

What is the difference between hive and spark?

Hive is known to make use of HQL (Hive Query Language) whereas Spark SQL is known to make use of Structured Query language for processing and querying of data. Hive provides access rights for users, roles as well as groups whereas no facility to provide access rights to a user is provided by Spark SQL.

What is Hive query language?

The Hive Query Language (HiveQL) is a query language for Hive to process and analyze structured data in a Metastore. SELECT statement is used to retrieve the data from a table.

What is the difference between HQL and SQL?

Differences between SQL and HQL: SQL is based on a relational database model whereas HQL is a combination of object-oriented programming with relational database concepts. SQL is concerned about the relationship that exists between two tables while HQL considers the relation between two objects.

What is Hql file?

An HQL script is just a series of Hive query language commands. They are the same ones you would use in the Hive shell.

What is an advantage of pig over SQL?

PigLatin offers a number of advantages in terms of declaring execution plans, ETL routines and pipeline modification. SQL is declarative and PigLatin is procedural to a large extent.

What is the point in having and using pig if we have hive so can use SQL?

Hive is used as a declarative SQL & PIG as a procedural language. Hive supports partitions & PIG does not. Hive can start an optional thrift based server & PIG cannot. Hive defines tables beforehand (schema) + stores schema information in a database & PIG doesn't have a dedicated metadata of database.