Skip to posts
  • Publications
  • Code Library
  • Events
  • Presentations
  • Who Am I?
  • Copyright

Wayne Sheffield

My blog about SQL Server
  • Home
  • Publications
  • Code Library
  • Events
  • Presentations
  • Who Am I?
  • Copyright
  • Latest Posts
  • Latest Comments


MCM


MVP

(2017-2022)

Top 50 SQL blog 2018

Recent Posts

  • Availability Group issues fixed with Alerts
  • Using Google Chrome with SSRS
  • Speakers wanted for the Richmond (VA) SQL Server Users Group – 2020
  • T-SQL Tuesday #120 – Recap
  • T-SQL Tuesday #120 – What were you thinking? – Invitation

Top Posts

  • Using a gMSA with SQL Server
  • Working with tabs and spaces in SSMS (Day 34)
  • Checking for temporary table existence
  • Service Packs and Updates - Tables and Download links
  • Windows Virtual Accounts and SQL Server
  • A month of SSMS tips and tricks
  • Understanding Rebinds and Rewinds
  • Availability Group issues fixed with Alerts
  • A Page Split in SQL Server - the Good, the Nasty and the Smart
  • Primary Replica Jobs

Archives

Categories

Tags

2020 absolute values (ABS()) Advanced Certifications analytic functions assign sequential number automation Availability Group Back To Basics case-sensitive CLR String Security clustered index common table expression Data Movement deadlock analysis Denali Double-Hop efficiency extracting data from strings Failover Functions Google Chrome import file index analysis myth order by Performance physical tally table Quirky Update Scalar UDF Inlining split string splitting strings SQL SQL 2019 SQL Server SSMS SSMS Tips SSRS String Splitter T-SQL Tuesday tally table Trusted Assembly TSQL Tuesday virtual tally table Why do you do what you do? wrapup

Blogroll

  • Phil Factor
  • Tim Ford
  • Lynn Pettis
  • Gail Shaw
  • Noel McKinney
  • Robert Pearl
  • Rob Farley
  • Hugo Kornelis
  • Grant Fritchey
  • Jason Brimhall
  • Jorge Segarra
  • Gianluca Sartori
  • Michael Swart
  • Maria Zakourdaev
  • The Datachix

Shred IO Statistics

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
ALTER PROCEDURE [dbo].[ShredIOStats] (@StatTxt VARCHAR(MAX))
AS
/******************************************************************************
Take the IO statistics mess, and return the information in a grid.
(You will need to double-up all of the single quotes from the IO results.)
*******************************************************************************
                               MODIFICATION LOG
*******************************************************************************
14-MAY-2012 WGS Initial Creation.
******************************************************************************/
SELECT caGrp.Grp,
       TableName = MAX(caTbl.TableName),
       ScanCount         = MAX(CASE WHEN s2.ItemNumber = 1 THEN caCount.Value ELSE NULL END),
       LogicalReads      = MAX(CASE WHEN s2.ItemNumber = 2 THEN caCount.Value ELSE NULL END),
       PhysicalReads     = MAX(CASE WHEN s2.ItemNumber = 3 THEN caCount.Value ELSE NULL END),
       ReadAheadReads    = MAX(CASE WHEN s2.ItemNumber = 4 THEN caCount.Value ELSE NULL END),
       LobLogicalReads   = MAX(CASE WHEN s2.ItemNumber = 5 THEN caCount.Value ELSE NULL END),
       LobPhysicalReads  = MAX(CASE WHEN s2.ItemNumber = 6 THEN caCount.Value ELSE NULL END),
       LobReadAheadReads = MAX(CASE WHEN s2.ItemNumber = 7 THEN caCount.Value ELSE NULL END)
  FROM dbo.Split(@StatTxt, '.') s1
       CROSS APPLY dbo.Split(s1.Item, ',') s2
       CROSS APPLY (SELECT posTbl    = CASE WHEN s1.ItemNumber % 2 = 0 THEN 0  ELSE CHARINDEX('''', s1.Item) END) caTbl1
       CROSS APPLY (SELECT posTbl    = CASE WHEN s1.ItemNumber % 2 = 0 THEN 0  ELSE CHARINDEX('''', s1.Item, caTbl1.posTbl+1) END) caTbl2
       CROSS APPLY (SELECT TableName = CASE WHEN caTbl1.posTbl = 0 THEN NULL ELSE SUBSTRING(s1.Item, caTbl1.posTbl+1, caTbl2.posTbl - caTbl1.posTbl - 1) END) caTbl
       CROSS APPLY (SELECT caTbl1.posTbl+1, caTbl2.posTbl - caTbl1.posTbl -1) caPos(StartPos, Length)
       CROSS APPLY (SELECT Value = CASE WHEN s1.ItemNumber % 2 = 1 THEN NULL ELSE CONVERT(INT, SUBSTRING(s2.Item, PATINDEX('%[0-9]%', s2.Item), 50)) END) caCount
       CROSS APPLY (SELECT Grp = CASE WHEN s1.ItemNumber % 2 = 1 THEN s1.ItemNumber ELSE s1.ItemNumber - 1 END) caGrp
GROUP BY caGrp.Grp
HAVING MAX(caTbl.TableName) IS NOT NULL
ORDER BY caGrp.Grp;

Share this:

  • Click to share on X (Opens in new window) X
  • Click to share on LinkedIn (Opens in new window) LinkedIn
  • Click to email a link to a friend (Opens in new window) Email
  • Click to print (Opens in new window) Print
  • More
  • Click to share on Facebook (Opens in new window) Facebook
  • Click to share on Pinterest (Opens in new window) Pinterest
  • Click to share on Reddit (Opens in new window) Reddit

Like this:

Like Loading...
  • Comments (0)
  • Trackbacks (0)
Leave a comment Trackback

No one has commented yet.

No trackbacks yet.

Leave a Reply to let me know how you liked this postCancel reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Powered by WordPress Web Design by SRS Solutions © 2025 Wayne Sheffield Design by SRS Solutions
Manage Cookie Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
Manage options Manage services Manage {vendor_count} vendors Read more about these purposes
View preferences
{title} {title} {title}
%d