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phpLiteAdmin is an open-source tool written in PHP intended to handle the administration of SQLite over the World Wide Web. Its feature set, interface, and overall user experience is comparable to that of phpMyAdmin for MySQL.
PHP, JavaScript Active Tier Complete application (Web/Mobile) and build or use the database schema PHP, HTML, JavaScript, Ajax, Full Web application ready to use (PHP and Javascript) with Interface layer, service layer, PHP, CSS. etc. and Database scripts to apply. Spring Roo: Java Active Tier Java and automatically introspected project metadata
Lemon is a parser generator, maintained as part of the SQLite project, that generates a look-ahead LR parser (LALR parser) in the programming language C from an input context-free grammar. The generator is quite simple, implemented in one C source file with another file used as a template for output. Lexical analysis is performed externally.
To process this statement without an index the database software must look at the last_name column on every row in the table (this is known as a full table scan). With an index the database simply follows the index data structure (typically a B-tree ) until the Smith entry has been found; this is much less computationally expensive than a full ...
Tables normally include a hidden rowid index column, which provides faster access. [29] If a table includes an INTEGER PRIMARY KEY column, SQLite will typically optimize it by treating it as an alias for the rowid, causing the contents to be stored as a strictly typed 64-bit signed integer and changing its behavior to be somewhat like an auto ...
In relational databases a virtual column is a table column whose value(s) is automatically computed using other columns values, or another deterministic expression. Virtual columns are defined of SQL:2003 as Generated Column, [1] and are only implemented by some DBMSs, like MariaDB, SQL Server, Oracle, PostgreSQL, SQLite and Firebird (database server) (COMPUTED BY syntax).
Basic functions: select database, select/edit tables, browse/insert/edit table rows; Searching or sorting via multiple columns; Editing of other database objects: views, triggers, events, stored procedures, processes, mysql variables, user permissions; Text area for arbitrary SQL commands and storing these commands in command history
LevelDB outperforms both SQLite and Kyoto Cabinet in write operations and sequential-order read operations. LevelDB also excels at batch writes, but is slower than SQLite when dealing with large values. The currently published benchmarks were updated after SQLite configuration mistakes were noted in an earlier version of the results. [12]