SQL

Advanced Concepts For Improving Performance in SQL

Hello All,

Hope this post finds you in good health and spirit.

Structured Query Language, abbreviated as SQL, is a domain-specific language used in programming and designed for managing data held in a relational database management system, or for stream processing in a relational data stream management system.

An good developer must be familiar with a few commands in SQL because it is such a strong development tool. The SQL queries listed below are important for coding and optimization. Almost every system that interacts with a SQL database will be affected by each query in the SQL tutorial.

How to Improve database performance in SQL

Whenever practical, is always better to write the column name list into a SELECT statement rather than using the * delimiter as a wildcard to select all columns. SQL Server has to do a search and replace operation to find all the columns in your table and write them into the statement for you (every time the SELECT is executed). For example:

SELECT * FROM Customers

Would actually execute much faster on our database as:

SELECT Name, Birthday, Phone, 
Address, Zip FROM Customers

Performance pitfalls can be avoided in many ways. For example, avoid the time sinkhole of forcing SQL Server to check the system/master database every time by using only a stored procedure name, and never prefix it with SP_. Also setting NOCOUNT ON reduces the time required for SQL Server to count rows affected by INSERT, DELETE, and other commands.

Using INNER JOIN with a condition is much faster than using WHERE clauses with conditions. We advise developers to learn SQL server queries to an advanced level for this purpose. For production purposes, these tips may be crucial to adequate performance. Notice that our tutorial examples tend to favor the INNER JOIN.

So, that’s all in this blog. I will meet you soon with next stuff .Have a nice day !!!

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