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After freezing the database no more schema alterations take place. Relations among tables are mapped in the same way: by convention. For instance, to create a one-to-many relationship between two tables one assigns an array to the property bearing the name of the target table. This automatically creates the table as well as the required columns.
However, some extensions which use the PHP extension framework do not expose an API to the PHP developer. The PDO MySQL driver extension, for example, does not expose an API to the PHP developer, but provides an interface to the PDO layer above it. MySQLi is an improved version of the older PHP MySQL driver, offering various benefits. [3]
A tabular data card proposed for Babbage's Analytical Engine showing a key–value pair, in this instance a number and its base-ten logarithm. A key–value database, or key–value store, is a data storage paradigm designed for storing, retrieving, and managing associative arrays, and a data structure more commonly known today as a dictionary or hash table.
The key and value types available include all Java primitive data types, Dates, Strings, small char or byte arrays, 'ByteStrings', 'huge array' indexes, Character Long Objects or Binary Long Objects, plus the special-purpose types 'EntityClass' and 'Attribute'. Maps may be multi-valued.
An Ordered Key-Value Store (OKVS) is a type of data storage paradigm that can support multi-model database. An OKVS is an ordered mapping of bytes to bytes. An OKVS will keep the key-value pairs sorted by the key lexicographic order. OKVS systems provides different set of features and performance trade-offs.
Arrays can contain mixed elements of any type, including resources, objects. [31] Multi-dimensional arrays are created by assigning arrays as array elements. PHP has no true array type. PHP arrays are natively sparse and associative. Indexed arrays are simply hashes using integers as keys. Indexed array:
Index is a full index so data file does not have to be ordered; Pros and cons versatile data structure – sequential as well as random access; access is fast; supports exact, range, part key and pattern matches efficiently. volatile files are handled efficiently because index is dynamic – expands and contracts as table grows and shrinks
Search fails if the value is not found in the data array. If the search value is less than the minimum value of the current node then continue search in its left subtree. Search fails if there is no left subtree. If the search value is greater than the maximum value of the current node then continue search in its right subtree.