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A lot of database professionals have learned significantly about the issues arising in software projects that needed a Database Management System for storing information in the backend.
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Crucial Tips to Improve MySQL Database Performance www.tosska.com
A lot of database professionals have learned significantly about the issues arising in software projects that needed a Database Management System for storing information in the backend. A good percentage of such problems occurred because of the manner in which they wrote their queries. In this 2-part series of blogs, we will discuss some tips to help users and newbie database administrators improve MySQL database performance. These tips will enable you to write more efficient queries. www.tosska.com
SQL Query Performance Tuning: Top Ways to Get Started! Read on to find out some simple yet effective tricks to help with SQL query performance tuning before you begin: www.tosska.com
Tip 1: Use the owner or schema name as a prefix when you create an object name. If you do this, the database engine will only look for the table within the schema or owner, saving time and resources in the process. In the absence of one, the database engine will make an attempt to look for the object in every schema till it locates the one you want. www.tosska.com
Tip 2: Refrain from using the * operator when you write a SELECT query. Again, the engine will scour the entire table for the required data, unless you use column names instead. This will reduce the search dramatically in the case of large tables, helping you improve MySQL database performance. www.tosska.com
Tip 3: If you have to compare with nullable columns, make a note to use NOT EXISTS rather than NOT IN. The reason behind this is the database will skip the comparison process if there are any null values. If you use NOT IN, the database will go over every result to check whether it is null. NOT EXISTS has another advantage over NOT IN - it fetches one of two outcomes or states, TRUE or FALSE. NOT IN returns three - TRUE, FALSE, and NULL, which will lead to further time wasting. www.tosska.com
Tip 4: When using joins, try to include derived tables rather than table variables for better SQL query performance tuning. Other than these, you can go for temp tables and Common Table Expressions. Table variables tend to appear as a single row to the database engine. This depletes performance despite their speed and efficiency. The reason behind this is the resulting execution plan is likely to produce disastrous results when joins come in. www.tosska.com
Tip 5: When you try to create a procedure, be careful about the name you are setting it under. Avoid using sp_ at the start of such names because the database will go to the system of master database whenever you do. It will happen this way even if you mention the owner or schema name. This is why it is best to just skip using “sp_” or “SP_” altogether to prevent unwanted checking in. Save yourself substantial time and use another name! www.tosska.com
Tip 6: Every time you write a query that involves a DML operation, add a SET NOCOUNT ON to it. DML operations include the fantastic four data manipulation tasks every database need - INSERT, SELECT, UPDATE, and DELETE. The database fetches the number of rows that undergo changes with each query execution. If you use SET NOCOUNT ON, this won’t happen, and since the DBMS won’t spend resources on this, you will improve MySQL database performance to a large extent. www.tosska.com
Conclusion: When you analyse slow queries, you will find that reading data takes most of the time during query execution. That’s why many of these tips focus on limiting the amount of time it takes to scan the information the user needs. If you require a professional query optimizing tool for SQL Server, check out our range of options. These will help you eliminate I\O level bottlenecks and more. www.tosska.com
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