Enhance the Database Design and SQL Server Performance

Enhance the Database Design and SQL Server Performance

The primary goal of developing a successful application is to realize the most effective performance. The database is an application’s backside, or tail side, sort of a coin. The simplest performance of an application is achieved during data manipulation due to a decent database design.

Take under consideration the subsequent important factors when designing databases and manipulating data:

Some Tips to Improve SQL Server Performance are:

Select the right Data Type

Select the right SQL Data Type for your data because it’ll help the query performance. Use varchar rather than text data type to store strings because varchar performs better than text. Whenever you would like to store an outsized amount of text, use the text data type (more than 8000 characters). Varchar allows you to store data up to 8000 characters.

Do not use nchar or nvarchar

Avoid using the nchar and nvarchar data types because they only use half the maximum amount of memory as char and varchar. If you wish to store data in Unicode (16-bit characters), like Hindi or Chinese characters, you ought to use nchar and nvarchar.

In the fixed-length field, avoid using NULL

Avoid inserting NULL values into the fixed-length (char) field by practicing this. Since the specified input value for that field takes up the identical amount of space as NULL. Use a variable-length (varchar) field if NULL is required because it takes up less space.

Keep * out of the SELECT statement

Avoid using the * character in Select statements because SQL Server converts it to the name of the column before running the query. Another thing: within the select statement, give the names of the columns you would like to question instead of using the wildcard * to question all columns.

Use EXISTS instead of IN

Practice using EXISTS instead of IN to test for existence because EXISTS is quicker.

Don’t include clauses

Exercise avoiding Clause being present because it filters the chosen rows. If you would like to further filter the results of aggregation, you need to use the having clause. Use the HAVING clause just for that purpose.

Indexes both clustered and not, should be created

Create both clustered and non-clustered indexes the maximum amount as you’ll because they speed up data access. A table with more indexes will cause INSERT, UPDATE, and DELETE operations to require longer. Therefore, try and keep a table’s index low.

Smallen the clustered index

It is advisable to take care of clustered indexes in the maximum amount possible because the database stores data within the clustered index’s order and since the fields employed in the clustered index can also be employed in non-clustered indexes. Therefore, an oversized clustered index on a table with many rows will significantly increase the dimensions.

Skip the cursors

Since the cursor performs very slowly, practice avoiding it. Use SQL Server cursor alternatives whenever possible.

Replace the temporary table with a table variable

Since the Temp table is found within the tempdb database, practice replacing it with a Table variable. Thanks to this, using Temporary tables required interacting with the Temporary database, which may be a somewhat time-consuming task.

Use UNION bushed place of UNION

Practice using UNION dead place of UNION since it’s faster than UNION because it doesn’t sort the result set for distinguished values.

Specify the schema before the SQL object name

As it helps the SQL Server locate that object during a specific schema, practice using the schema name before the SQL object name followed by “.” Performance is therefore at its peak.

Keep the transaction brief

Keep your transactions as small as you will because they lock the info within the processing tables while they’re active. Long transactions may occasionally cause deadlocks.

NOCOUNT is ready ON

Since SQL Server returns a variety of rows suffering from SELECT, INSERT, UPDATE, and DELETE statements, it’s best practice to line NOCOUNT ON.

Employ TRY-Catch

Practice handling errors in T-SQL statements by using TRY-CATCH. If you utilize TRY-CATCH and haven’t any handled error, a blunder in an exceedingly transaction that’s currently running occasionally may lead to deadlock.

For frequently used data and tougher queries, use stored procedures

Practice constructing a stored procedure for a question that must frequently access data. Additionally, a stored procedure was developed to handle harder tasks.

Avoid starting the user-defined stored procedure name with “sp_”

Practice not using the prefix “sp_” with user-defined stored procedure names since the prefix “sp_” is employed for system-defined stored procedure names. As a result, SQL Server searches the user-defined procedure first within the master database so within the database currently getting used. If a system-defined stored procedure with the identical name as your defined procedure exists, this is often time-consuming and will produce unexpected results.

Summary

This article highlights some crucial ideas for enhancing the efficiency of your SQL Server database. After reading this text, you’ll be able to apply these suggestions when creating and modifying SQL Server databases.

About Enteros

Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.