SQL stands for Structured Query Language. It is basically a database management system used by website designers to add their site to online databases. Reported users pretty much include every existent search-engine, from Google to Yahoo. In this article, we shall discuss how you can optimize MySQL database to navigate information faster.
Why should I optimize MySQL Database?
Short answer: to keep your customers happy. Optimization means your page loads faster, and the client’s server isn’t stressed that much. Simply put, you are more reachable. The more info-loaded your website is, the slower it downloads to user’s device.
Add to that the normal over-burdened computer and increased web page traffic, and it becomes pretty clear why you should make sure you keep your databases up-to-date.
So what are the basic optimization techniques?
1) Downsize data,
2) Enhance data storage type,
3) Upgrade Internal Temporary Table Use and
4) Modify your multiple tables use. I will show you the first two here.
I will show you one by one,
1) Downsize data
It’ll save you precious disc space. You do that by avoiding using bigger tables. You can use any suitable method; table columns, row format, indexes, joins, and normalization.
a. Table Columns
It means you use minimal data types. Replace INT command with MEDIUMINT to save resources. Insert NOT NULL, which is index efficient. Use NULL sparingly, and only if you really need to.
b. Row Format
Type ROW_FORMAT=COMPRESSED for InnoDB tables and hit MyISAM pack command to adjust MyISAM tables. It may take up more disc space, but it makes things faster. To minimize length row type ROW_FORMAT=FIXED.
To maximize your retrieval rate, keep your indexes short. This way they are quicker and easily discoverable in your cache. For an improved navigation experience, gather your separate indexes into one. To do that, simply hit your most frequent’s column name at the beginning of the index name.
If you have a table that you visit often, you can create two separate tables instead. This is a great way to improve your speed. Insert identical columns into identical split tables. Also, simplify your column’s names and use that in multiple different tables.
Normalization means you keep your data trim and fast-running. You can do that by replacing longer values with shorter code names. You then insert these codes across the (small!) tables of your choice and create a join clause for table searches.
2) Enhance Data Storage Type
This one works for numeric and character data and BLOB Types.
a. Numeric data
Generally speaking, numeric columns are a better choice than string columns, so replace string ones with numeric where you can. It frees up memory space.
b. Character data
Use binary collation whenever possible. Also, opt for VARCHAR instead of BLOB for column values. For randomly generated values in InnoDB tables, use an ascending code affix, such as today’s date.
c. BLOB Types
Before you start working on a BLOB, you should compress it first. The only case you should avoid doing this is if your entire table is InnoDB or MyISAM compressed already. Use blob_column=long_string_value to identify and skip false search matches.
So there you have it! These are the main tricks you can use to Optimize MySQL Database. Bookmark this page for easy access, and don’t forget: regularly updating your databases is the key to a faster website!