After having excellent response to my quiz – Why SELECT * throws an error but SELECT COUNT(*) does not?I have decided to ask another puzzling question to all of you.

I am running this test on SQL Server 2008 R2. Here is the quick scenario about my setup.

• Create Table
• Insert 1000 Records
• Check the Statistics
• Now insert 10 times more 10,000 indexes
• Check the Statistics – it will be NOT updated

Note: Auto Update Statistics and Auto Create Statistics for database is TRUE

Expected Result – Statistics should be updated – SQL SERVER – When are Statistics Updated – What triggers Statistics to Update

Now the question is why the statistics are not updated?

The common answer is – we can update the statistics ourselves using

UPDATE STATISTICS TableName WITH FULLSCAN, ALL

However, the solution I am looking is where statistics should be updated automatically based on algorithm mentioned here.

Now the solution is to ____________________.

Vinod Kumar is not allowed to take participate over here as he is the one who has helped me to build this puzzle.

I will publish the solution on next week. Please leave a comment and if your comment consist valid answer, I will publish with due credit.

Here is the script to reproduce the scenario which I mentioned.

-- Execution Plans Difference
-- Create Sample Database
CREATE DATABASE SampleDB
GO
USE SampleDB
GO
-- Create Table
CREATE TABLE ExecTable (ID INT,
FirstName VARCHAR(100),
LastName VARCHAR(100),
City VARCHAR(100))
GO
-- Insert One Thousand Records
-- INSERT 1
INSERT INTO ExecTable (ID,FirstName,LastName,City)
SELECT TOP 1000 ROW_NUMBER() OVER (ORDER BY a.name) RowID,
'Bob',
CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith'
ELSE 'Brown' END,
CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas'
ELSE 'Houston' END
FROM sys.all_objects a
CROSS JOIN sys.all_objects b
GO
-- Display statistics of the table - none listed
sp_helpstats N'ExecTable', 'ALL'
GO
-- Select Statement
SELECT FirstName, LastName, City
FROM ExecTable
WHERE City  = 'New York'
GO
-- Display statistics of the table
sp_helpstats N'ExecTable', 'ALL'
GO

-- Replace your Statistics over here
-- NOTE: Replace your _WA_Sys with stats from above query
DBCC SHOW_STATISTICS('ExecTable', _WA_Sys_00000004_7D78A4E7);
GO
--------------------------------------------------------------
-- Round 2
-- Insert Ten Thousand Records
-- INSERT 2
INSERT INTO ExecTable (ID,FirstName,LastName,City)
SELECT TOP 10000 ROW_NUMBER() OVER (ORDER BY a.name) RowID,
'Bob',
CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith'
ELSE 'Brown' END,
CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego'
WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas'
ELSE 'Houston' END
FROM sys.all_objects a
CROSS JOIN sys.all_objects b
GO
-- Select Statement
SELECT FirstName, LastName, City
FROM ExecTable
WHERE City  = 'New York'
GO
-- Display statistics of the table
sp_helpstats N'ExecTable', 'ALL'
GO
-- Replace your Statistics over here
-- NOTE: Replace your _WA_Sys with stats from above query
DBCC SHOW_STATISTICS('ExecTable', _WA_Sys_00000004_7D78A4E7);
GO
-- You will notice that Statistics are still updated with 1000 rows
-- Clean up Database
DROP TABLE ExecTable
GO
USE MASTER
GO
ALTER DATABASE SampleDB
SET SINGLE_USER WITH ROLLBACK IMMEDIATE;
GO
DROP DATABASE SampleDB
GO


Reference: Pinal Dave (http://blog.SQLAuthority.com)

Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Statistics, Statistics