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 |
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. 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.
Unlike many data description languages, SQL 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.
Create - To make a new database, table, index, or stored query. A CREATE statement in SQL creates an object inside of a relational database management system (RDBMS). The types of objects that can be created depends on which RDBMS is being used, but most support the creation of tables, indexes, users, synonyms and databases. Some systems (such as PostgreSQL) allow CREATE, and other DDL commands, inside of a transaction and thus they may be rolled back.
Perhaps the most common CREATE command is the CREATE TABLE command. The typical usage is:
CREATE [TEMPORARY] TABLE [table name] ( [column definitions] ) [table parameters].
Column Definitions: A comma-separated list consisting of any of the following
NULL | NOT NULL} {column options}PRIMARY KEY ( [comma separated column list] )CONSTRAINT} [constraint definition]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) NULL, last_name VARCHAR(75) NOT NULL, dateofbirth DATE NULL );
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 they 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 - 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;
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.
|
||||||||||||||||||||||||||
|
||||||||||||||||||||