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Application- or user-specific database objects in relational databases are usually created with data definition language (DDL) commands, which in SQL for example can be CREATE, ALTER and DROP. [4] [5] Rows or tuples from the database can represent objects in the sense of object-oriented programming, but are not considered database objects. [6]
As of 21 November 2024 (the day of PHP 8.4's release), PHP is used as the server-side programming language on 75.4% of websites where the language could be determined; PHP 7 is the most used version of the language with 49.1% of websites using PHP being on that version, while 37.9% use PHP 8, 12.9% use PHP 5 and 0.1% use PHP 4.
When a URI request for a file/directory is to be made, build a full path to the file/directory if it exists, and normalize all characters (e.g., %20 converted to spaces). It is assumed that a 'Document Root' fully qualified, normalized, path is known, and this string has a length N. Assume that no files outside this directory can be served.
using a web server feature usually named autoindex (when no index file exists) to let web server autogenerate directory listing by using its internal module; using an interpreted file read by web server internal program interpreter, e.g.: index.php; using a CGI executable and compiled program, e.g.: index.cgi.
directory objects; Schema objects do not have a one-to-one correspondence to physical files on disk that store their information. However, Oracle databases store schema objects logically within a tablespace of the database. The data of each object is physically contained in one or more of the tablespace's datafiles.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
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In addition to basic equality and inequality conditions, SQL allows for more complex conditional logic through constructs such as CASE, COALESCE, and NULLIF.The CASE expression, for example, enables SQL to perform conditional branching within queries, providing a mechanism to return different values based on evaluated conditions.