Optimize MySQL database
Usually, for a web site having large volume of data, optimizing the MySQL database becomes crucial for enhancing the performance to indexing. Indexing helps in an exceedingly better collation of data and is an internal feature that comes with MySQL.
Consider a table “abc” that includes a set of rows could also be two whereby one row would have a set of numbers and also the second having the relevant name/details of the individual. What most webmasters would do is, run a basic query declared below :
SELECT * FROM sample WHERE number = 5;
In this case, what MySQL does is, it runs through all the information that’s there within the database and provides a result that features a value set of five. But, this question would most likely prove ineffective if you have got a large data that is. there are say a trillion entries within the table. This question would take lots of your time for generating an expected result.
But, since you have got a definite “number” field, an index is created. By creating an Index, you’d be primarily creating an internal register that gets saved in by the MySQL itself. The below query is used for creating an Index :
ALTER TABLE sample ADD INDEX (number);
Upon creation and setting of the Index, later whenever you want to fetch some information referring to the individual UN agency has been appointed the amount five, the service would straight-way visit it by mistreatment the index, hence generate a result at a much quicker pace than the earlier query.
Assuming that you simply have even larger database, then its loading time would create a significant difference within the process of Indexation which might take longer time hence lead to a reduce performance of your web applications due to slower load time.
Here, in such a case it becomes necessary for you to optimize your MySQL Database by using the below query which might enhance the speed and reduce the loading time of your database:
OPTIMIZE TABLE sample;
Upon improvement, your MySQL service would take lesser time for searching through your database and provide leads to a drastically reduced time, hence avoiding any unwanted load on your database, which might ultimately lead to an improved overall performance of your web applications.