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HeidiSQL is a free and open-source administration tool for MariaDB, MySQL, as well as Microsoft SQL Server, PostgreSQL and SQLite. Its codebase was originally taken from Ansgar Becker's own MySQL-Front 2.5 software. After selling the MySQL-Front branding to an unrelated party, Becker chose "HeidiSQL" as a replacement.
Fields in a tuple are type-agnostic or can have specific numeric or string data types. Users may insert, update, delete, or select if they have been granted appropriate privileges. [6] In 2017 Tarantool introduced an optional on-disk storage engine which allows databases larger than memory size. [7]
Data manipulations (INSERT, UPDATE, DELETE) may be done from a spreadsheet-like interface. Both raw table data and a result set from a query can be manipulated. Visual Schema Designer; Visual Query Builder; Query Formatter; Connectivity options: Direct client/server using MySQL API (SSL supported), HTTP/HTTPS tunneling, SSH tunneling
A database object is a structure for storing, managing and presenting application- or user-specific data in a database. Depending on the database management system (DBMS), many different types of database objects can exist. [1] [2] The following is a list of the most common types of database objects found in most relational databases (RDBMS):
MySQL is a multithreaded, multi-user, SQL database management system, [9] acquired by Sun Microsystems in 2008, which was then acquired by Oracle Corporation in 2010. [10] Since its early years, the MySQL team has made its source code available under the terms of the GNU General Public License, as well as under a variety of proprietary agreements.
phpMyAdmin is a free and open source administration tool for MySQL and MariaDB. As a portable web application written primarily in PHP, it has become one of the most popular MySQL administration tools, especially for web hosting services. [4]
MySQL Federated – allows a user to create a table that is a local representation of a foreign (remote) table. It utilizes the MySQL client library API as a data transport, treating the remote data source the same way other storage engines treat local data sources whether they be MYD files (MyISAM), memory (Cluster, Heap), or tablespace (InnoDB).
The reason is that processes owned by the same user have the ability to send signals to each other and use debugging facilities to read or even modify each other's memory. Modern practice, as recommended by the Linux Standard Base , is to create a separate user account for each daemon.