We all know
about the different type of index but the main question is who we decide which
columns need the indexing and in which condition is not an easy task. Here in
this article I am trying to understand it. For this I am taking some reference
from MSDN. Hope it will be helpful
Disadvantage of Indexes
We must
remember that, Index improves the Performance of SELECT statement only and
decrease the Performance of INSERT/UPDATE/DELETE and MERGE statement because
all indexes must adjusted appropriately when the data changes in the table. So,
using too many index in the table is not good.
Guideline to Design Index
1.
We
must try to create index on a few columns within a table not all the columns.
2.
Index
in a small table that have few records is not wise idea as the Query optimizer longer
to traverse the index searching for data than to perform a simple table scan.
3.
Indexing
in a View (Materialized View) significantly improve the performance when the
view contains Aggregate function or Join multiple table or in both the cases. In
this situation the Query optimizer not use the internal query of the Views, the
use the View as whole. For designing Indexed Views please look at the MSDN
reference
https://technet.microsoft.com/en-us/library/ms187864(v=sql.105).aspx
https://technet.microsoft.com/en-us/library/ms187864(v=sql.105).aspx
4.
Create
nonclustered indexes on all columns that are frequently used in predicates and
join conditions in queries.
5. Covering Index is an important factor starts from Microsoft SQL Server 2008. Covering indexes can improve query performance because all the data needed to meet the requirements of the query exists within the index itself. That is, only the index pages, and not the data pages of the table or clustered index, are required to retrieve the requested data; therefore, reducing overall disk I/O.
But we must consider the volume of data in the table as the cover index also increases the volume of index table. If the volume is to heavy, we must follow the olfaction style with composite index.
5. Covering Index is an important factor starts from Microsoft SQL Server 2008. Covering indexes can improve query performance because all the data needed to meet the requirements of the query exists within the index itself. That is, only the index pages, and not the data pages of the table or clustered index, are required to retrieve the requested data; therefore, reducing overall disk I/O.
But we must consider the volume of data in the table as the cover index also increases the volume of index table. If the volume is to heavy, we must follow the olfaction style with composite index.
6.
If
we are going to Update a single rows, we must use a single query not use
multiple query to update the same rows.
7.
We
must evolutes the columns used within the query very carefully
Exact Match to Specific Values
Exact Match to Specific Values
SELECT BusinessEntityID, JobTitle
FROM HumanResources.Employee
WHERE BusinessEntityID
= 228;
Nonclustered or clustered index on the BusinessEntityIDcolumn.
Exact match to a value in an
IN (x,y,z) list
SELECT BusinessEntityID, JobTitle
FROM HumanResources.Employee
WHERE BusinessEntityID
IN (288,30,15);
Nonclustered
or clustered index on the BusinessEntityIDcolumn.
Range of values
SELECT ProductModelID, Name
FROM Production.ProductModel
WHERE ProductModelID
BETWEEN 1 and 5;
OR
WHERE ProductModelID
>= 1 AND ProductModelID <=
5;
Clustered
or nonclustered index on the ProductModelIDcolumn.
Join between tables
SELECT a.ProductAssemblyID, b.Name, a.PerAssemblyQty
FROM Production.BillOfMaterials AS a
JOIN Production.Product AS b
ON a.ProductAssemblyID = b.ProductID
WHERE b.ProductID = 900;
Nonclustered
or clustered index on
the ProductID andProductAssemblyID columns.
the ProductID andProductAssemblyID columns.
LIKE comparison
SELECT CountryRegionCode, Name
FROM Person.CountryRegion
WHERE Name
LIKE N'D%'
Nonclustered
or clustered index on the Name column.
Sorted
or aggregated
SELECT a.WorkOrderID, b.ProductID, a.OrderQty, a.DueDate
FROM Production.WorkOrder AS a
JOIN Production.WorkOrderRouting AS b
ON a.WorkOrderID = b.WorkOrderID
ORDER BY a.WorkOrderID;
Nonclustered or clustered index on the sorted or aggregated column.
For sort columns, consider specifying the ASC or DESC
order of the column.
PRIMARY KEY or UNIQUE
constraint
INSERT INTO
Production.UnitMeasure
(UnitMeasureCode, Name, ModifiedDate)
VALUES ('OZ1', 'OuncesTest', GetDate());
Clustered or nonclustered index on the column or columns defined
in the constraint.
UPDATE or DELETE operation in
a PRIMARY KEY/FOREIGN KEY relationship
Nonclustered
or clustered index on the foreign key column.
Column is in the select list
but not in the predicate.
SELECT Title, Revision, FileName
FROM Production.Document
WHERE Title
LIKE N'%Maintenance%'
AND Revision >= 0;
Nonclustered
index withFileName specified in the
INCLUDE clause.
8.
Keep
the length of the index key short for clustered indexes. Additionally,
clustered indexes benefit from being created on unique or nonnull columns.
9.
Columns
that are of the ntext, text, image, varchar(max), nvarchar(max),
and varbinary(max) data types cannot be specified as index key
columns. However,varchar(max), nvarchar(max), varbinary(max), and xml data
types can participate in a nonclustered index as nonkey index columns.
10. In case of XML columns we can used the
XML index.
11. Examine column uniqueness. A unique
index instead of a nonunique index on the same combination of columns provides
additional information for the query optimizer that makes the index more useful.
12. Consider a Filtered index in a column
with frequently NULL values and Distinct range of values increase the
performance by Filtered index.
13. Consider the order of the columns if
the index will contain multiple columns. The column that is used in the WHERE
clause in an equal to (=), greater than (>), less than (<), or BETWEEN
search condition, or participates in a join, should be placed first. Additional
columns should be ordered based on their level of distinctness, that is, from
the most distinct to the least distinct.
Hope you like
it.
Posted by: MR. JOYDEEP DAS
No comments:
Post a Comment