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
