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6 ways to optimize your SQL database

Chirag Thumar
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Structured Query Language or SQL is considered the standard language for database management systems. In this article, Chirag Thumar explains the best ways for your to optimize your SQL databases for the most efficient results.

The SQL is very simple to operate and user-efficient, as the commands have a simple syntax. But then, the efficiency of the SQL command is subject to different database functions, specifically in terms of their individual computation time. Also, the efficiency of the language does not mean that optimizing the language would be easier too. Every database requires unique ways to be tuned, according to its individual needs.

That is why, using the best SQL database is advisable, as much as knowing different ways to optimize or boost the database, so as to ensure the best performance out of it. The scope of optimizing SQL Database for developers like say, Senior Java j2ee developers differ from the work of a Database Administrator (DBA) in some respect and are alike in other respects. In large companies, developers and DBAs are often required to work together, where, it has been seen that more often than not, a conflict arises between the two teams. There are various ways by which SQL databases can be tuned.

1. Proper indexing

Index is basically a data structure that helps speed up the data retrieval process overall. Unique index is a kind of indexing that creates separate data columns without overlapping each other. Proper indexing ensures quicker access to the database. Excessive indexing or no indexing at all are both wrong. Without any indexing at all, the processing will be very slow, whereas indexing everything will render the insert and update triggers ineffective.

SEE MORE: Top databases in 2017: Trends for SQL, NoSQL, Big Data, Fast Data

2. Retrieve the relevant data only

Specifying the data one requires enables precision in retrieval. Using the commands * and LIMIT, instead of SELECT * as and when required is a great way of tuning the database, while avoiding retrieving the whole set of data when the user wants only a certain part of it. Of course, it will not be necessary when the amount of data overall is less. But when accessing data from a large source, specifying the portions required would save a lot of essential time.

The * command is for use in specifying data from columns, and the LIMIT command is when the user requires data from a certain number of rows from among the lot. Selecting sparingly is not exactly a necessary rule. However, it does help in avoiding system errors in the future. Also, limiting and specifying the data reduces the further necessity of optimizing of the database to a great deal.

3. Getting rid of correlated subqueries

A correlated sub-query basically depends on the parent or outer query. This kind of search is done row by row. That means it decreases the overall speed of the process. This problem usually lies in the command of WHERE from the outer query, applying which, the subquery runs for each row, returned by the parent query, consequently slowing the whole process and reducing the efficiency of the database. So, a better way of tuning  the database, in this case, is to the INNER JOIN command, instead of the correlated sub-query. But in certain cases, using correlated sub-query is essential.

SEE MORE: Team MySQL v Team PostgreSQL: These companies are betting on them

4. Using or avoiding temporary tables according to requirement

If any code can be well written in a simple way, there is absolutely no need to make it complex with temporary tables. Of course, if a data has a specific procedure to be set up which requires multiple queries, the use of temporary tables in such cases are, in fact, recommended. Temporary tables are often alternated by sub-queries, but one has to keep in mind the specific efficiency that each of these would provide in separate cases.

5. Avoid coding loops

Avoiding coding loops is very much needed in order to avoid slowing down of the whole sequence. This can be achieved by using the unique UPDATE or INSERT commands with individual rows, and by ensuring that the command WHERE does not update the stored data in case it finds a matching preexisting data.

6. Execution plans

The execution plan tool created by the optimizer play major role in tuning SQL databases. They help in creating proper indexes too. Although, its main function is to display graphically the various methods to retrieve data. This, in turn, helps in creating the needed indexes and doing the other required steps to optimize the database.

Of course, there are tons of other ways one can tune their SQL database in the most efficient manner. Also, there is big chance that the steps mentioned above, might not be the right choice for all databases. Each database will require optimizing techniques uniquely specific to its needs.


Chirag Thumar

Chirag Thumar is an experienced and innovative web developer at TechnoLigent, one of the fastest growing company in the IT industry. It has passionate and professional team of developers in various area such as asp .net development, Microsoft dynamics CRM, Java Offshore Development, Hadoop Big Data, Pentaho BI, Oracle, Mobile application development on Android, iOS and other cross platform.

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نگهداری شبکه
نگهداری شبکه
3 years ago

ok. thats good