MySQL

MySQL Manual and user guide in PDF
MySQL Manual and user guide in PDF

MySQL is one of the database management systems of most popular market data. This tutorial is a DBMS based on the relational model with dual GPL and proprietary developed by MySQLAB.

Download the user manual of MySQL

The database management system relational , multithreading and multi-user database with more than six million – instalaciones.1 MySQL AB since January 2008, a subsidiary of Sun Microsystems and this turn of Oracle Corporation since April 2009 – the free software developed as a dual licensing scheme .

This system for managing databases is widely used in web applications like Drupal or phpBB, platform (Linux / Windows -Apache -MySQL -PHP / Perl / Python ) , and bug tracking tools like Bugzilla. Its popularity as a web application is closely related to PHP, which often appears in conjunction with My SQL .

Is a base of very fast data reading when using non-transactional MyISAM engine , but it can cause integrity problems in high concurrency environments in the modification . In web applications, there are low turnout in the modification of data and change the setting is reading data intensive , which makes it ideal for such applications . Whatever the setting where you will be using MySQL, it is important to monitor the performance beforehand to detect and correct errors of both SQL as programming .

What differentiates this other manager are the following qualities:

  1. Allows you to choose between multiple storage engines for each table. In version 5.0 these should be added at compile time, from 5.1 can be added dynamically at run time: The natives there as MyISAM, Falcon, Merge, InnoDB, BDB, Memory / Heap, MySQL Cluster, Federated, Archive , CSV, Blackhole and Example; Developed by partners as solidDB, NitroEDB, ScaleDB, TokuDB, Infobright (formerly Brighthouse) Kickfire, XtraDB, IBM DB2). InnoDB He was well developed but now belongs to Oracle; and developed by the community as memcache, httpd, PBXT and Revision.
  2. Transaction grouping, gathering multiple transactions from multiple connections to increase the number of transactions per second.

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