Data definition language

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In the context of SQL, data definition or data description language (DDL) is a syntax for creating and modifying database objects such as tables, indices, and users. DDL statements are similar to a computer programming language for defining data structures, especially database schemas. Common examples of DDL statements include CREATE, ALTER, and DROP. If you see a .ddl file, that means the file contains a statement to create a table. Oracle SQL Developer contains the ability to export from an ERD generated with Data Modeler to either a .sql file or a .ddl file.

The concept of the data definition language and its 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 declaring tables, columns, data types and constraints. SQL-92 introduced a schema manipulation language and schema information tables to query schemas.^[2] 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.

Many data description languages use a declarative syntax to define columns and data types. Structured Query Language (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 elements. These statements can be freely mixed with other SQL statements, making the DDL not a separate language.

The create command is used to establish a new database, table, index, or stored procedure.

The CREATE statement in SQL creates a component in a relational database management system (RDBMS). In the SQL 1992 specification, the types of components that can be created are schemas, tables, views, domains, character sets, collations, translations, and assertions.^[2] Many implementations extend the syntax to allow creation of additional elements, such as indexes and user profiles. Some systems, such as PostgreSQL and SQL Server, allow CREATE, and other DDL commands, inside a database transaction and thus they may be rolled back.^[3][4]

A commonly used CREATE command is the CREATE TABLE command. The typical usage is:

CREATE TABLE [table name] ( [column definitions] ) [table parameters]

The column definitions are:

• 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

An example statement to create a table named employees with a few columns is:

CREATE TABLE employees (
    id            INTEGER       PRIMARY KEY,
    first_name    VARCHAR(50)   not null,
    last_name     VARCHAR(75)   not null,
    mid_name      VARCHAR(50)   not null,
    dateofbirth   DATE          not null
);

Some forms of CREATE TABLE DDL may incorporate DML (data manipulation language)-like constructs, such as the CREATE TABLE AS SELECT (CTaS) syntax of SQL.^[5]

The DROP statement destroys an existing database, table, index, or view.

A DROP statement in SQL removes a component 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 is:

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 removes the entire table from the database.

The ALTER statement modifies 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 is:

ALTER TABLE sink ADD bubbles INTEGER;
ALTER TABLE sink DROP COLUMN bubbles;

The TRUNCATE statement is used to delete all data from a table. It's much faster than DELETE.

TRUNCATE TABLE table_name;

Another type of DDL sentence in SQL is 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 in a CREATE TABLE or an ALTER TABLE sentence;

• XML Schema is an example of a DDL for XML.
• JSON Schema is an example of a DDL for JSON.
• DFDL schema is an example of a DDL that can describe many text and binary formats.

• Data control language
• Data manipulation language
• Data query language
• Select (SQL)
• Insert (SQL)
• Update (SQL)
• Delete (SQL)
• Truncate (SQL)

• Oracle ALTER TABLE MODIFY column Archived 2021-04-21 at the Wayback Machine
• DDL Commands In Oracle Archived 2021-04-21 at the Wayback Machine