1. Why You Should Consider Implementing Indexed Views
Alex Fleming, Data Developer

2. Alex Fleming, Data Developer
About me
Data Developer at SUNZ Insurance Solutions
SQL Developer (since June 2016)
Guest Author at simpleprogrammer.com
automation/
vba/
metadata-developers/
SQL Server (SSRS,SSIS,SSAS 2008R2 – 2016), OLTP + OLAP environments
PowerShell
Excel (VBA)
Alex Fleming, Data Developer

3. https://github.com/SqlBroveloper Twitter: @SQLBroveloper
Alex Fleming, Data Developer

4. Should you create indexed views?
Alex Fleming, Data Developer

5. Alex Fleming, Data Developer
No.
Alex Fleming, Data Developer

6. Alex Fleming, Data Developer
Further Reading
Alex Fleming, Data Developer

7. Alex Fleming, Data Developer
What is an Indexed View?
Indexed (or “Materialized”) view – a schemabound view in which data is persisted on disc in the format of a unique clustered index
Alex Fleming, Data Developer

8. Should you create indexed views?
It depends on the following:
What is the problem?
Performance tuning slow reports?
Performance tuning an application?
Does the data change frequently in the base tables (i.e., update, insert, and delete statements)?
Is TempDB heavily utilized already?
Are report tables an option?
Alex Fleming, Data Developer

9. Alex Fleming, Data Developer
Why should you use them?
Increase the performance of queries that contain:
Expensive aggregate calculations
Expensive join logic
Other benefits:
Increase awareness of dependent objects during development (schemabinding requirement)
Enforce uniqueness for known (i.e., not null) values while allowing nulls (without using triggers)
They’re cool!
Encourage some best-practices
Alex Fleming, Data Developer

10. Why should you not use them?
High resource consumption in Tempdb
High maintenance costs for Inserts and Updates against base tables
Volume and complexity of requirements and limitations
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11. Indexed View Pre-Requisites
1) SCHEMABINDING
2) Deterministic functions only
3) SET options
4) TempDB dependency
5) Unique Clustered Index
Two-part naming required (i.e., [schema].[table])
COUNT_BIG(*)
How DML is tracked on underlying tables
Alex Fleming, Data Developer

12. Alex Fleming, Data Developer
1) SCHEMABINDING
Prevent changes on parent objects from breaking child objects
“Safety” feature – best practices?
Slight Performance enhancement
eliminate the need for Halloween Protection
“Eager Table Spool” Plan operator
Alex Fleming, Data Developer

13. 2) Prohibition of Non-deterministic Functions
Deterministic function – return the same output for any set of inputs
Three types of functions:
Deterministic functions
Non-deterministic functions
Functions that vary on determinism qualities depending on use
Alex Fleming, Data Developer

14. Alex Fleming, Data Developer

15. Alex Fleming, Data Developer
3) SET Options (Part ¼)
SET ANSI_NULLS ON;
SET ANSI_PADDING ON;
SET ANSI_WARNINGS ON;
Divide by 0 and arithmetic overflow cause rollback + warning
warning when NULL appears in aggregate functions
Parameters are unaffected (UDFs, Stored Procs, variables in batch statements)
Alex Fleming, Data Developer

16. Alex Fleming, Data Developer
3) SET Options (Part 2/4)
SET ARITHABORT ON;
Implicitly turned on when ANSI_WARNINGS is on
Performance issues arise when turned off
SET CONCAT_NULL_YIELDS_NULL ON;
Alex Fleming, Data Developer

17. Alex Fleming, Data Developer
3) SET Options (Part ¾)
SET NUMERIC_ROUNDABORT OFF;
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18. Alex Fleming, Data Developer
3) SET Options (Part 4/4)
SET QUOTED_IDENTIFIER ON;
Alex Fleming, Data Developer

19. Alex Fleming, Data Developer
4) TempDB Space
Prevent changes on parent objects from breaking child objects
“Safety” feature – best practices?
Slight Performance enhancement – eliminate the need for Halloween Protection
Alex Fleming, Data Developer

20. Alex Fleming, Data Developer
Demos!
Alex Fleming, Data Developer

21. Further Reading & References
docs.microsoft.com
-and-nondeterministic-functions?view=sql-server-2017
Darling, Erik. “Indexed Views and Data Modifications.”
Ozar, Brent. “What You Can (And Can’t) Do With Indexed Views.”
Hammer, Derik. “SQL Server Schemabinding.”
Borland, Jes. “SQL Server Indexed Views: The Basics.”
Ben-Gan, Itzik. “Views.” Inside Microsoft SQL Server (1-29).
Korotkevitch, Dmitri. “Indexed (Materialized) Views.” Pro SQL Server Internals. ( ).
StackOverflow Database download link and instructions (Thank you Brent!):
Alex Fleming, Data Developer