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  2. Data manipulation language - Wikipedia

    en.wikipedia.org/wiki/Data_manipulation_language

    In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).

  3. Data definition language - Wikipedia

    en.wikipedia.org/wiki/Data_definition_language

    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 ...

  4. Data control language - Wikipedia

    en.wikipedia.org/wiki/Data_Control_Language

    The operations for which privileges may be granted to or revoked from a user or role apply to both the Data definition language (DDL) and the Data manipulation language (DML), and may include CONNECT, SELECT, INSERT, UPDATE, DELETE, EXECUTE, and USAGE.

  5. SQL syntax - Wikipedia

    en.wikipedia.org/wiki/SQL_syntax

    The Data Definition Language (DDL) manages table and index structure. The most basic items of DDL are the CREATE , ALTER , RENAME , DROP and TRUNCATE statements: CREATE creates an object (a table, for example) in the database, e.g.:

  6. Update (SQL) - Wikipedia

    en.wikipedia.org/wiki/Update_(SQL)

    UPDATE table_name SET column_name = value [, column_name = value ... ] [ WHERE condition ] For the UPDATE to be successful, the user must have data manipulation privileges ( UPDATE privilege) on the table or column and the updated value must not conflict with all the applicable constraints (such as primary keys , unique indexes, CHECK ...

  7. Data query language - Wikipedia

    en.wikipedia.org/wiki/Data_query_language

    These sub-languages are mainly categorized into four categories: a data query language (DQL), a data definition language (DDL), a data control language (DCL), and a data manipulation language (DML). Sometimes a transaction control language (TCL) [1] is argued to be part of the sub-language set as well.

  8. Database trigger - Wikipedia

    en.wikipedia.org/wiki/Database_trigger

    As of version 8.0, they allow for DDL (Data Definition Language) triggers and for DML (Data Manipulation Language) triggers. They also allow either type of DDL trigger (AFTER or BEFORE) to be used to define triggers. They are created by using the clause CREATE TRIGGER and deleted by using the clause DROP TRIGGER.

  9. Create, read, update and delete - Wikipedia

    en.wikipedia.org/wiki/Create,_read,_update_and...

    In computer programming, create, read, update, and delete (CRUD) are the four basic operations (actions) of persistent storage. [1] CRUD is also sometimes used to describe user interface conventions that facilitate viewing, searching, and changing information using computer-based forms and reports .