Rather than work out how many years have passed since and event, or how old something is, after you get the data from a MySQL database you could use the following query to convert the date on the MySQL side. It works by subtracting the current date from the given date and formatting it in years. Adding the given value to 0 casts the string given by DATE_FORMAT() into an interger.
phpMyAdmin is a tool, written in PHP, that allows you to handle the administration of a MySQL database server. You could always download the MySQL GUI tools, but the problem there is that you need to give external access to a user account, which isn't always possible to do. This is where phpMyAdmin steps in.
In MySQL the OPTIMIZE TABLE can be used if you have made changes or have deleted large parts of the table.
Any deleted rows are kept behind the scenes in the server in order to allow the reuse of these spaces. The OPTIMIZE TABLE command reclaims the unused space and defragments the data file.
For a normal MyISAM table the OPTIMIZE command works in the following way.
By using the MySQL command.
To change a table name in MySQL you can use the ALTER TABLE command with the parameter RENAME TO. Here is an example of a query that will rename the table "atable" to "newtable".
There is little syntactical difference between MySQL 4 and MySQL 5, but sometimes finding that difference can pinpoint a bug. The mysql_get_server_info() function will tell you what version of MySQL you are using. You can call it with no parameters, in which case it picks the most recently created MySQL resource, or with the resource handle created with mysql_connect().
Here is an example of how to use it.
To create a number between one value and the next you can use the following formula, where i is the lower end of the range and j is the higher end of the range.
FLOOR(i + RAND() * (j – i))
Rather than put in (j-i) in your query you should put in the result. So for a number between 1 and 10 you would make i = 1 and j = 11. 11-1 = 10 so the query would run like this.
Storing sets of data with a timestamp is common practice, especially if you want to keep a history of the values that have been stored previously. Lets say you wanted to store a piece of information about two variables, each of which can have a history. Here is an example dataset.
To find duplicate values you need to use the MySQL COUNT() function and then pick out all of the counts that are greater than one.