SQL Server Query Optimization Tips: Understanding CRUD Ops
by Tosska Technologies sql server performance tuning- Tosska TechnologiesEven if you
are a new Database Administrator for SQL Server and may have heard of the CRUD
acronym, you may not necessarily understand the concept. In this post, we will
explain the meaning and significance of these operations in detail.
CRUD
involves the fundamental operations used in any RDBMS. Although it can mean
different things depending on the system, for SQL Server, it is almost always
used to map four basic operations on table data. Knowing the following will
help you grasp SQL Server query optimization tips better:
C - Create
(Insert data in SQL)
R - Read
(Select data in SQL)
U - Update
(Update records in SQL tables)
D - Delete
(Delete data from the table)
Known as the
essential operation units, these are responsible for the rich ecosystem that
consists of facilities such as resource and transaction control, database
performance enhancement, maintaining security, setting up or updating a locking
mechanism, and granting object permission/access, among others.
Some key
advantages of CRUD operations are:
- They
help resolve issues:
Consider this example for a clearer understanding of this benefit - when
SQL Server 2008 was launched with the beneficial MERGE option, users
received the ability to carry out insertions, updates, and deletions all
in one go. On the other hand, the convenience brought by the MERGE
statement does not mean the debug time gets shorter as well.
That’s because debugging a script that contains MERGE statements takes greater effort as they must open an additional SSMS window to verify the source and destination tables. It depends on the merge search condition, after checking which the user will have to compute the anticipated outcome and make a comparison with the MERGE execution result.
- Maintain
control on security:
Realistically speaking, there are some parts in a data record that are
readable but not modifiable without authorization by every user in the
database. These help during database query
optimization and depend on each user’s access requirements as some
can only read/write their own data and are not supposed to have access to
other’s information. Thanks to CRUD operation principles, one can
successfully attain all kinds of granular access specifications by setting
up the correct combination of authorizations on CRUD tasks.
- Managing granularity throughout the business model: During the design phase of a business application, business objects are similar to building blocks. For instance, banking apps contain fields such as CUSTOMER, ACCOUNT, and other fields such as PRICE, INTEREST, etc. You can utilize CRUD tasks for such fields and simplify the design process and scalability for application development.
While CRUD
is virtually Data Manipulation Language (or DML), it can also be utilized in
the form of Data Definition Language (or DDL). This is important to remember
when looking for SQL query performance
tuning.
One such
application, in which we can suppose the database as a container, involves the
use of CRUD in the definition of multiple objects including view, table, stored
processes, and so on.
If we do use
a table in the form of an object, the CRUD operations can be classified as the
following:
● C: Build the table
● R: Verify the design of the table
● U: Modify the table
● D: Drop\Delete the table
All these
points prove the significance of CRUD operation in SQL Server, especially since
it’s useful to know from the point-of-view of database query optimization.
These can be extended from tasks related to Data Manipulation Language to those
of Data Definition Language.
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Created on Jun 15th 2021 08:32. Viewed 1,371 times.