SQL is often treated as a procedural but contrary to the popular notion, SQL is a non-procedural language. In a procedural language, one has to write a procedure which is a sequence of commands to perform a specific operation. However, when it comes to solving a problem in SQL, one has to tell it what information one wants from it or in other words – database optimization. The database management system will decide the best way to get the required information.
Why should one learn SQL query optimization?
- If one is using Optimizsql, concerns and uncertainties can be easily fetched using the data records. SQL makes it easy to fetch information mammoth-size data records.
- One does not have to store data to view it when one is using SQL.
- Functions such as Data mining, Data warehousing, Data manipulation are not difficult to execute when one is using SQL. One will become proficient in handling the shark pool of data.
- The database becomes easy to handle while using SQL. The need for a consequential code is done away with completely.
What are the applications of SQL?
- Data integration Scripts: For the database administrators and developers, this is the most important application.
- Analytical queries: this application is important for data analysts. They use SQL to set and run the analytical queries regularly.
- Retrieving information: SQL comes highly recommended when it comes to retrieving information’s subsets within a database. This application is very useful for those who deal with analytics applications and transaction processing. Some of the most commonly used SQL queries are delete, add, create, select, insert, update, truncate and alter.
- Modifications of the database: this application is used extensively to modify the index structures and database table. The users can add, update and delete the rows of data according to the needs.
How to do database optimization?
Most of the times, the DBAs and data analysts have to deal with poor application performance and feel frustrated when their SQL queries perform slowly. This malfunction leads to the poor performance of the entire database. So how to resolve this problem? Read to know some simple tips that will help one to fully optimize the database.
- Optimize the queries: as mentioned before, the poor performance of SQL queries can lead to the overall poor performance of the database so work on optimizing the SQL queries. One can hire consulting services to get the job done. However, trying out online query optimizers can do the same job without spending a lot of money. It will also recommend that one can avoid such situations in future. Some of the best ones are available for free.
- Create the optimal indexes: if the index is done properly, half the battle is won because it will optimize the query execution duration and increase the total performance of the database. Indexing boosts the speed of the data retrieval process thus making it more efficient; saving one time and money.
- Strengthen your CPU: just like the human body, the brain of the computer must be strong. Try upgrading to a higher grade of CPU if the database is misbehaving. Power of the CPU is indirectly proportional to the amount of strain it will be under when it has to execute the queries.
Therefore, procedurally using sql server query analyzer does not make sense at all. However, in the recent years, a lot of procedural features such as BEGIN blocks, IF statements, functions and YES procedures have been added to SQL to make it more like the procedural languages such as C++, JAVA etc.