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Data Control Language is one of the logical group in SQL Commands. SQL [ 1 ] is the standard language for relational database management systems. SQL statements are used to perform tasks such as insert data to a database, delete or update data in a database, or retrieve data from a database.
Using an INSERT statement with RETURNING clause for PostgreSQL (since 8.2). The returned list is identical to the result of a INSERT. Firebird has the same syntax in Data Modification Language statements (DSQL); the statement may add at most one row. [2] In stored procedures, triggers and execution blocks (PSQL) the aforementioned Oracle syntax ...
Jet 2.0 comprised three DLL's: the Jet DLL, the Data Access Objects (DAO) DLL and several external ISAM DLL's. The Jet DLL determined what sort of database it was accessing, and how to perform what was requested of it. If the data source was an MDB file (a Microsoft Access format) then it would directly read and write the data to the file.
MySQL (/ ˌ m aɪ ˌ ɛ s ˌ k juː ˈ ɛ l /) [6] is an open-source relational database management system (RDBMS). [6] [7] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [1] and "SQL", the acronym for Structured Query Language.
Microsoft Access is a database management system (DBMS) from Microsoft that combines the relational Access Database Engine (ACE) with a graphical user interface and software-development tools.
In database management systems (DBMS), a prepared statement, parameterized statement, (not to be confused with parameterized query) is a feature where the database pre-compiles SQL code and stores the results, separating it from data. Benefits of prepared statements are: [1] efficiency, because they can be used repeatedly without re-compiling
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Encoding input or escaping dangerous characters. For instance, in PHP, using the htmlspecialchars() function to escape special characters for safe output of text in HTML and the mysqli::real_escape_string() function to isolate data which will be included in an SQL request can protect against SQL injection.