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Donald D. Chamberlin|
Raymond F. Boyce
|Typing discipline||Static, strong|
|File formats||File format details|
|Internet media type||
(December 2016 )
|Type of format||Database|
|CQL, LINQ, SOQL, PowerShell, JPQL, jOOQ, N1QL|
SQL (// ( listen) S-Q-L, // "sequel"; Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is particularly useful in handling structured data where there are relations between different entities/variables of the data. SQL offers two main advantages over older read/write APIs like ISAM or VSAM: first, it introduced the concept of accessing many records with one single command; and second, it eliminates the need to specify how to reach a record, e.g. with or without an index.
Originally based upon relational algebra and tuple relational calculus, SQL consists of many types of statements, which may be informally classed as sublanguages, commonly: a data query language (DQL),[a] a data definition language (DDL),[b] a data control language (DCL), and a data manipulation language (DML).[c] The scope of SQL includes data query, data manipulation (insert, update and delete), data definition (schema creation and modification), and data access control. Although SQL is often described as, and to a great extent is, a declarative language (4GL), it also includes procedural elements.
SQL was one of the first commercial languages for Edgar F. Codd's relational model, as described in his influential 1970 paper, "A Relational Model of Data for Large Shared Data Banks". Despite not entirely adhering to the relational model as described by Codd, it became the most widely used database language.
SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987. Since then, the standard has been revised to include a larger set of features. Despite the existence of such standards, most SQL code is not completely portable among different database systems without adjustments.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Ted Codd in the early 1970s. This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasi-relational database management system, System R, which a group at IBM San Jose Research Laboratory had developed during the 1970s.
Chamberlin and Boyce's first attempt of a relational database language was Square, but it was difficult to use due to subscript notation. After moving to the San Jose Research Laboratory in 1973, they began work on SEQUEL. The acronym SEQUEL was later changed to SQL because "SEQUEL" was a trademark of the UK-based Hawker Siddeley aircraft company.
In the late 1970s, Relational Software, Inc. (now Oracle Corporation) saw the potential of the concepts described by Codd, Chamberlin, and Boyce, and developed their own SQL-based RDBMS with aspirations of selling it to the U.S. Navy, Central Intelligence Agency, and other U.S. government agencies. In June 1979, Relational Software, Inc. introduced the first commercially available implementation of SQL, Oracle V2 (Version2) for VAX computers. By 1986, ANSI and ISO standard groups officially adopted the standard "Database Language SQL" language definition. New versions of the standard were published in 1989, 1992, 1996, 1999, 2003, 2006, 2008, 2011, and most recently, 2016. After testing SQL at customer test sites to determine the usefulness and practicality of the system, IBM began developing commercial products based on their System R prototype including System/38, SQL/DS, and DB2, which were commercially available in 1979, 1981, and 1983, respectively.
SQL deviates in several ways from its theoretical foundation, the relational model and its tuple calculus. In that model, a table is a set of tuples, while in SQL, tables and query results are lists of rows: the same row may occur multiple times, and the order of rows can be employed in queries (e.g. in the LIMIT clause).
Critics argue that SQL should be replaced with a language that strictly returns to the original foundation: for example, see The Third Manifesto. However, no known proof exists that such uniqueness cannot be added to SQL itself, or at least a variation of SQL. In other words, it's quite possible that SQL can be "fixed" or at least improved in this regard such that the industry may not have to switch to a completely different query language to obtain uniqueness. Debate on this remains open.
The SQL language is subdivided into several language elements, including:
SQL is designed for a specific purpose: to query data contained in a relational database. SQL is a set-based, declarative programming language, not an imperative programming language like C or BASIC. However, extensions to Standard SQL add procedural programming language functionality, such as control-of-flow constructs. These include:
|Source||Common name||Full name|
|ANSI/ISO Standard||SQL/PSM||SQL/Persistent Stored Modules|
|Interbase / Firebird||PSQL||Procedural SQL|
|IBM DB2||SQL PL||SQL Procedural Language (implements SQL/PSM)|
|IBM Informix||SPL||Stored Procedural Language|
|IBM Netezza||NZPLSQL||(based on Postgres PL/pgSQL)|
|Invantive||PSQL||Invantive Procedural SQL (implements SQL/PSM and PL/SQL)|
|Microsoft / Sybase||T-SQL||Transact-SQL|
|Mimer SQL||SQL/PSM||SQL/Persistent Stored Module (implements SQL/PSM)|
|MySQL||SQL/PSM||SQL/Persistent Stored Module (implements SQL/PSM)|
|MonetDB||SQL/PSM||SQL/Persistent Stored Module (implements SQL/PSM)|
|NuoDB||SSP||Starkey Stored Procedures|
|Oracle||PL/SQL||Procedural Language/SQL (based on Ada)|
|PostgreSQL||PL/pgSQL||Procedural Language/PostgreSQL Structured Query Language (implements SQL/PSM)|
|SAP R/3||ABAP||Advanced Business Application Programming|
|Sybase||Watcom-SQL||SQL Anywhere Watcom-SQL Dialect|
|Teradata||SPL||Stored Procedural Language|
SQL implementations are incompatible between vendors and do not necessarily completely follow standards. In particular date and time syntax, string concatenation,
NULLs, and comparison case sensitivity vary from vendor to vendor. Particular exceptions are PostgreSQL and Mimer SQL which strive for standards compliance, though PostgreSQL does not adhere to the standard in how folding of unquoted names is done. The folding of unquoted names to lower case in PostgreSQL is incompatible with the SQL standard, which says that unquoted names should be folded to upper case. Thus,
Foo should be equivalent to
foo according to the standard.
Popular implementations of SQL commonly omit support for basic features of Standard SQL, such as the
TIME data types. The most obvious such examples, and incidentally the most popular commercial and proprietary SQL DBMSs, are Oracle (whose
DATE behaves as
DATETIME, and lacks a
TIME type) and MS SQL Server (before the 2008 version). As a result, SQL code can rarely be ported between database systems without modifications.
There are several reasons for this lack of portability between database systems:
SQL was adopted as a standard by the American National Standards Institute (ANSI) in 1986 as SQL-86 and the International Organization for Standardization (ISO) in 1987. It is maintained by ISO/IEC JTC 1, Information technology, Subcommittee SC 32, Data management and interchange. The standard is commonly denoted by the pattern: ISO/IEC 9075-n:yyyy Part n: title, or, as a shortcut, ISO/IEC 9075.
ISO/IEC 9075 is complemented by ISO/IEC 13249: SQL Multimedia and Application Packages (SQL/MM), which defines SQL based interfaces and packages to widely spread applications like video, audio and spatial data.
Until 1996, the National Institute of Standards and Technology (NIST) data management standards program certified SQL DBMS compliance with the SQL standard. Vendors now self-certify the compliance of their products.
The original standard declared that the official pronunciation for "SQL" was an initialism: // ("ess cue el"). Regardless, many English-speaking database professionals (including Donald Chamberlin himself) use the acronym-like pronunciation of // ("sequel"), mirroring the language's pre-release development name of "SEQUEL". The SQL standard has gone through a number of revisions:
|1986||SQL-86||SQL-87||First formalized by ANSI.|
|1989||SQL-89||FIPS 127-1||Minor revision that added integrity constraints, adopted as FIPS 127-1.|
|1992||SQL-92||SQL2, FIPS 127-2||Major revision (ISO 9075), Entry Level SQL-92 adopted as FIPS 127-2.|
|1999||SQL:1999||SQL3||Added regular expression matching, recursive queries (e.g. transitive closure), triggers, support for procedural and control-of-flow statements, non-scalar types (arrays), and some object-oriented features (e.g. structured types). Support for embedding SQL in Java (SQL/OLB) and vice versa (SQL/JRT).|
|2003||SQL:2003||Introduced XML-related features (SQL/XML), window functions, standardized sequences, and columns with auto-generated values (including identity-columns).|
|2006||SQL:2006||ISO/IEC 9075-14:2006 defines ways that SQL can be used with XML. It defines ways of importing and storing XML data in an SQL database, manipulating it within the database, and publishing both XML and conventional SQL-data in XML form. In addition, it lets applications integrate queries into their SQL code with XQuery, the XML Query Language published by the World Wide Web Consortium (W3C), to concurrently access ordinary SQL-data and XML documents.|
|2008||SQL:2008||Legalizes ORDER BY outside cursor definitions. Adds INSTEAD OF triggers, TRUNCATE statement, FETCH clause.|
|2011||SQL:2011||Adds temporal data (PERIOD FOR) (more information at: Temporal database#History). Enhancements for window functions and FETCH clause.|
|2016||SQL:2016||Adds row pattern matching, polymorphic table functions, JSON.|
The SQL standard is divided into nine parts.
ISO/IEC 9075 is complemented by ISO/IEC 13249 SQL Multimedia and Application Packages. This closely related but separate standard is developed by the same committee. It defines interfaces and packages based on SQL. The aim is a unified access to typical database applications like text, pictures, data mining or spatial data.
A distinction should be made between alternatives to SQL as a language, and alternatives to the relational model itself. Below are proposed relational alternatives to the SQL language. See navigational database and NoSQL for alternatives to the relational model.
Distributed Relational Database Architecture (DRDA) was designed by a work group within IBM in the period 1988 to 1994. DRDA enables network connected relational databases to cooperate to fulfill SQL requests.
An interactive user or program can issue SQL statements to a local RDB and receive tables of data and status indicators in reply from remote RDBs. SQL statements can also be compiled and stored in remote RDBs as packages and then invoked by package name. This is important for the efficient operation of application programs that issue complex, high-frequency queries. It is especially important when the tables to be accessed are located in remote systems.
The messages, protocols, and structural components of DRDA are defined by the Distributed Data Management Architecture.
Chamberlin's critiques of SQL include:
Early specifications did not support major features, such as primary keys. Result sets could not be named, and subqueries had not been defined. These were added in 1992.
SQL's controversial "NULL" value is neither true nor false (predicates with terms that return a null value return null rather than true or false). Features such as outer-join depend on null values.
Other popular critiques are that it allows duplicate rows, making integration with languages such as Python, whose data types might make it difficult to accurately represent the data, difficult in terms of parsing and by the absence of modularity.
PostgreSQL prides itself in standards compliance. Its SQL implementation strongly conforms to the ANSI-SQL:2008 standard
DATEvalue, Oracle stores the following information: century, year, month, date, hour, minute, and second
The datetime data types are
Do not define columns with the following SQL/DS and DB2 data types, because they have no corresponding Oracle data type:...
SQL (correctly pronounced "ess cue ell," instead of the somewhat common "sequel")...
The ISO/IEC Information Technology Task Force publishes publicly available standards including SQL. Technical Corrigenda (corrections) and Technical Reports (discussion documents) are published there.