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A procedural program is composed of one or more units or modules, either user coded or provided in a code library; each module is composed of one or more procedures, also called a function, routine, subroutine, or method, depending on the language. Examples of procedural languages include:
PL/pgSQL (Procedural Language/PostgreSQL) is a procedural programming language supported by the PostgreSQL ORDBMS. It closely resembles Oracle 's PL/SQL language. Implemented by Jan Wieck, PL/pgSQL first appeared with PostgreSQL 6.4, released on October 30, 1998. [ 1 ]
The main feature of SQL (non-procedural) is also its drawback: control statements (decision-making or iterative control) cannot be used if only SQL is to be used.PL/SQL provides the functionality of other procedural programming languages, such as decision making, iteration etc.
The principles of modularity and code reuse in functional languages are fundamentally the same as in procedural languages, since they both stem from structured programming. For example: Procedures correspond to functions. Both allow the reuse of the same code in various parts of the programs, and at various points of its execution.
A database trigger is procedural code that is automatically executed in response to certain events on a particular table or view in a database. The trigger is mostly used for maintaining the integrity of the information on the database.
Stored procedure languages from different vendors have different levels of sophistication. Tool support for writing and debugging stored procedures is often not as good as for other programming languages, but this differs between vendors and languages. For example, both PL/SQL and T-SQL have dedicated IDEs and debuggers.
Some languages support only one paradigm. For example, Smalltalk supports object-oriented and Haskell supports functional. Most languages support multiple paradigms. For example, a program written in C++, Object Pascal, or PHP can be purely procedural, purely object-oriented, or can contain aspects of both paradigms, or others.
The declarative nature of relational languages such as SQL offered better programmer productivity and a higher level of data independence (that is, the ability of programs to continue working as the database structure evolves.) Navigational interfaces, as a result, were gradually eclipsed during the 1980s by declarative query languages.