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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2. About Us
Tosska Technologies is a company that focuses in providing solutions for database and
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3. Crucial Tips to Improve MySQL Database Performance
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4. 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.
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5. 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:
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6. 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.
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7. 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.
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8. 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.
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9. 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.
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10. 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!
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11. 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.
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12. 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 IO level bottlenecks and more.
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13. support@tosska.com
+852-2150-1987
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