Data definition language
A data definition language or data description language (DDL) is a syntax similar to a computer programming language for defining data structures, especially database schemas.
Contents
History
The data definition language concept and name was first introduced in relation to the Codasyl database model, where the schema of the database was written in a language syntax describing the records, fields, and sets of the user data model.[1] Later it was used to refer to a subset of Structured Query Language (SQL) for creating tables and constraints. SQL-92 introduced a schema manipulation language and schema information tables to query schemas. These information tables were specified as SQL/Schemata in SQL:2003. The term DDL is also used in a generic sense to refer to any formal language for describing data or information structures.
SQL
Many data description languages use a declarative syntax to define fields and data types. SQL, however, uses a collection of imperative verbs whose effect is to modify the schema of the database by adding, changing, or deleting definitions of tables or other objects. These statements can be freely mixed with other SQL statements, so the DDL is not truly a separate language.[2]
CREATE statements
Create - To make a new database, table, index, or stored procedure.
A CREATE
statement in SQL creates an object in a relational database management system (RDBMS). In the SQL 1992 specification, the types of objects that can be created are schemas, tables, views, domains, character sets, collations, translations, and assertions. Many implementations extend the syntax to allow creation of additional objects, such as indexes and user profiles. Some systems (such as PostgreSQL) allow CREATE
, and other DDL commands, inside a transaction and thus they may be rolled back.
CREATE TABLE statement
A commonly used CREATE
command is the CREATE TABLE
command. The typical usage is:
CREATE TABLE [table name] ( [column definitions] ) [table parameters]
.
column definitions: A comma-separated list consisting of any of the following
- Column definition: [column name] [data type] {
NULL
|NOT NULL
} {column options} - Primary key definition:
PRIMARY KEY
( [comma separated column list] ) - Constraints: {
CONSTRAINT
} [constraint definition] - RDBMS specific functionality
For example, the command to create a table named employees with a few sample columns would be:
CREATE TABLE employees (
id INTEGER PRIMARY KEY,
first_name VARCHAR(50) not null,
last_name VARCHAR(75) not null,
fname VARCHAR(50) not null,
dateofbirth DATE null
);
Note that some forms of CREATE TABLE
DDL may incorporate DML (data manipulation language)-like constructs as well, such as the CREATE TABLE AS SELECT
(CTAS) syntax of SQL.[3]
DROP statements
Drop - To destroy an existing database, table, index, or view.
A DROP
statement in SQL removes an object from a relational database management system (RDBMS). The types of objects that can be dropped depends on which RDBMS is being used, but most support the dropping of tables, users, and databases. Some systems (such as PostgreSQL) allow DROP
and other DDL commands to occur inside of a transaction and thus be rolled back. The typical usage is simply:
DROP objecttype objectname
.
For example, the command to drop a table named employees would be:
DROP TABLE employees;
The DROP
statement is distinct from the DELETE
and TRUNCATE
statements, in that DELETE
and TRUNCATE
do not remove the table itself. For example, a DELETE
statement might delete some (or all) data from a table while leaving the table itself in the database, whereas a DROP
statement would remove the entire table from the database.
ALTER statements
Alter - To modify an existing database object.
An ALTER
statement in SQL changes the properties of an object inside of a relational database management system (RDBMS). The types of objects that can be altered depends on which RDBMS is being used. The typical usage is:
ALTER objecttype objectname parameters
.
For example, the command to add (then remove) a column named bubbles for an existing table named sink would be:
ALTER TABLE sink ADD bubbles INTEGER;
ALTER TABLE sink DROP COLUMN bubbles;
rename statement
Rename - to rename the table. for example
rename table old_name to new_name;
Referential integrity statements
Finally, another kind of DDL sentence in SQL is one used to define referential integrity relationships, usually implemented as primary key and foreign key tags in some columns of the tables.
These two statements can be included inside a CREATE TABLE
or an ALTER TABLE
sentence.
Other languages
- XML Schema is an example of a DDL for XML.
See also
- Data manipulation language
- Data control language
- Select (SQL)
- Insert (SQL)
- Update (SQL)
- Delete (SQL)
References
- ^ Olle, T. William (1978). The Codasyl Approach to Data Base Management. Wiley. ISBN 0-471-99579-7.
- ^ "Data Definition Language".
- ^ Allen, Grant (2010). The Definitive Guide to SQLite. Apresspod. Mike Owens (2 ed.). Apress. p. 368. ISBN 9781430232254. Retrieved 2012-10-02.
The
create table
statement has a special syntax for creating tables fromselect
statements. [...]: [...]create table foods2 as select * from foods;
[...] Many other databases refer to this approach as CTAS, which stands for Create Table As Select, and that phrase is not uncommon among SQLite users.
External links
|
|