MySQL - Ultimate Choice For The Web
MySQL is the world's most popular open source relational database management system. It is widely used web applications due to fast performance, high reliability and scaliblity, cost-effectiveness. Several powerful and smart features make MySQL the ultimate choice for web applications.
MySQL is especially designed to support indexing and Full-text searching. Indexes are created on specific fields of a table and MySQL stores the records sorted based on the index fields created. Below I mention some of the features that makes it popular for web apps where mining of data is required from huge datastores.
- Full-text searching is ideal for extremely large databases that contain thousands or even millions of rows. Computations are performed faster and rows can be ranked based on search relevance, which is returned as a decimal number by MySQL.
- Noise words and any words that are 3 characters or less in length such as the, and, etc are removed from the search query. This means that more accurate results are returned. If you searched for "as the people", then the noise words "the" and "as" will automatically be removed from your query.
- In addition to simple searches, full-text searches can also be performed in home equity calculator mode. Boolean mode allows searches based on and/or criteria, such as "%2Bperson %2BMitchell", which would only return all records that contained the words person AND Mitchell. We will look at Boolean searches later in this article.
- The query is case-insensitive, meaning that "cat" is ranked the same as "Cat", "CAT" and "cAT".
A unique storage-engine architecture data managing capabilities with different performance and scaliblity features. Some of the popular storage engines are MyISAM, InnoDB, Memory, NDB. Developers can choose from multiple storage engines each table, according to the requirements.
- MyISAM is a disk based storage engine. Aiming for very low overhead, it does not support transactions. MyISAM is default storage engine of MySQL.
- InnoDB is also disk based, supports ACID transactional capabilities. It has strong referential integrity. InnoDB requires more disk space Marijuana testing MyISAM to store its data, and this increased overhead is compensated by more aggressive use of memory caching, in order to attain high speeds.
- Memory (formerly called "HEAP") is a storage engine that utilizes only RAM. The tables are memory-based and very fast.
- NDB, the MySQL Cluster Storage engine, connects to a cluster of nodes, offering high availability through redundancy, high performance through fragmentation (partitioning) of data across multiple node groups, and excellent scalability through the combination of these two. NDB uses main-memory only, with logging to disk.
MySQL has exceptional high performance query engine that can easily handle ever-increasing volume of users, transactions and data. Further data insertion is also very fast . All these make it suitable for high-traffic web sites.
MySQL uses features like main memory tables, B-tree and hash indexes, and compressed archive tables that reduce storage requirements by up to eighty-percent make MySQL a strong standout for both web and business intelligence applications.
MySQL has many Plug-in libraries, so it can support nearly every application. All the major programming languages including PHP, Java, Perl, Python, .NET, and C etc has MySQL Plug-in libraries to access MySQL databases. But MySQL's popularity is closely tied to PHP,Perl and Python.
