DBMS > Spark SQL

Spark SQL System Properties

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Editorial information provided by DB-Engines

Name

Description

Spark SQL is a component on top of 'Spark Core' for structured data processing

Primary database model

Relational DBMS

Secondary database models

Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	14.67
Rank	#34	Overall
	#21	Relational DBMS

Website

spark.apache.org/sql

Technical documentation

spark.apache.org/docs/latest/sql-programming-guide.html

Developer

Apache Software Foundation

Initial release

2014

Current release

v2.3.1, June 2018

License

Commercial or Open Source

Open Source info

Apache 2.0

Cloud-based only info

Only available as a cloud service

Implementation language

Scala

Server operating systems

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

Supported programming languages

Java
Python
R
Scala

Server-side scripts info

Stored procedures

Triggers

Partitioning methods info

Methods for storing different data on different nodes

yes, utilizing Spark Core

Replication methods info

Methods for redundantly storing data on multiple nodes

none

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

User concepts info

Access control

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Spark SQL System Properties

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