19Dec 2014 by Grant Fritchey 20 Comments

“Pretty Plans vs. Performance” or “Grant Gets Pwned”

SQL Server
If you get an execution plan that looks like this: I wouldn't blame you for immediately thinking about query tuning. Especially if the code that generated it looks like this: SELECT soh.OrderDate, sod.OrderQty, sod.LineTotal FROM Sales.SalesOrderHeader AS soh INNER JOIN Sales.SalesOrderDetail AS sod ON sod.SalesOrderID = soh.SalesOrderID WHERE soh.SalesOrderID IN (@p1, @p2, @p3, @p4, @p5, @p6, @p7, @p8, @p9, @p10, @p11, @p12, @p13, @p14, @p15, @p16, @p17, @p18, @p19, @p20, @p21, @p22, @p23, @p24, @p25, @p26, @p27, @p28, @p29, @p30, @p31, @p32, @p33, @p34, @p35, @p36, @p37, @p38, @p39, @p40, @p41, @p42, @p43, @p44, @p45, @p46, @p47, @p48, @p49, @p50, @p51, @p52, @p53, @p54, @p55, @p56, @p57, @p58, @p59, @p60, @p61, @p62, @p63, @p64, @p65, @p66, @p67, @p68, @p69, @p70, @p71, @p72, @p73, @p74, @p75, @p76, @p77, @p78, @p79, @p80,…
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23Sep 2014 by Grant Fritchey 8 Comments

SQL Server Query Performance Tuning

SQL Server, T-SQL
The latest update to my book, SQL Server Query Performance Tuning was released last week. This is the fourth edition of the book, and the third edition that I've been responsible for. At the urging of my editor, Jonathan Gennick, I have completely restructured the book for this release. The chapters have been broken up and rearranged so that they're smaller, more easily consumed. Yes, I've worked with my technical editor, Joe Sack, to add lots of new information and to ensure that the existing information is more accurate and more useful. But, we've also added new chapters on topics that weren't given enough attention in the previous versions of the book, such as parameter sniffing. It can certainly seem like these book releases are just some incremental changes on top of…
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03Sep 2014 by Grant Fritchey 12 Comments

Left or Right?

SQL Server, T-SQL
No, this is not about politics. It's about your WHERE clause... and your JOIN criteria... and your HAVING clause. It's about a canard that still makes the rounds occasionally. Please, help me put this statement to sleep for once and all: A function on the left side of the equals sign can lead to performance problems Well, you know, it's sort of true. But then, a function on the right side of the equals sign can also lead to performance problems. In short, it's not the placement of the function that causes issues, it's the function that causes issues. Let's take a look at a really simple example: SELECT a.AddressID, a.AddressLine1, AddressLine2 FROM Person.Address AS a WHERE a.AddressLine1 = 'Downshire Way'; This simple query results in an equally simple execution plan: Now,…
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19Mar 2014 by Grant Fritchey No Comments

Query Tuning Near You

SQL Server, T-SQL
It really is so much easier to just throw hardware at badly performing databases. Just buy a bigger, faster server with more and faster disks and you can put off doing tuning work for another 6-9 months, easily. But, for most of us, sooner or later, our performance problems get so big or, we just don't have any more money to spend, and we're stuck. We have to tune the queries. And frankly, query tuning is a pain in the nether regions. But, after you've tuned queries 20 or 30 times, you start to recognize the patterns and it gets easier (never easy, just not as hard). But, if you haven't done it 20 or 30 times, what do you do? My suggestion, talk to someone who has done it…
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11Mar 2014 by Grant Fritchey 4 Comments

sp_updatestats Is Not Smart

SQL Server, T-SQL
No, I don't mean the use of sp_updatestats is not smart. It's a fine, quick mechanism for getting statistics updated in your system. But the procedure itself is not smart. I keep seeing stuff like "sp_updatestats knows which statistics need to be updated" and similar statements. Nope. Not true. Wanna know how I know? It's tricky. Ready? I looked at the query. It's there, in full, at the bottom of the article (2014 CTP2 version, just in case yours is slightly different, like, for example, no Hekaton logic). Let's focus on just this bit: if ((@ind_rowmodctr <> 0) or ((@is_ver_current is not null) and (@is_ver_current = 0))) The most interesting part is right at the front, @ind_rowmodctr <> 0. That value is loaded with the cursor and comes from sys.sysindexes and the rowmodctr column…
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18Feb 2014 by Grant Fritchey 14 Comments

The CASE Statement and Performance

SQL Server, T-SQL
In case you don't know, this query: UPDATE dbo.Test1 SET C2 = 2 WHERE C1 LIKE '%33%'; Will run quite a bit slower than this query: UPDATE dbo.Test1 SET C2 = 1 WHERE C1 LIKE '333%'; Or this one: UPDATE dbo.Test1 SET C2 = 1 WHERE C1 = '333'; That's because the second two queries have arguments in the filter criteria that allow SQL Server to use the statistics in an index to look for specific matching values and then use the balanced tree, B-Tree, of the index to retrieve specific rows. The argument in the first query requires a full scan against the index because there is no way to know what values might match or any path through the index to simply retrieve them. But, what if we…
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05Nov 2013 by Grant Fritchey 4 Comments

More Azure Goodies

Azure
Microsoft keeps sneaking little things under the door for Windows Azure SQL Database. This time it's a couple of new views, a system view and a Dynamic Management View (DMV); sys.resource_stats and sys.dm_operation_stats. But, I also learned another fun fact, not all this stuff rolls out at the same speed. For example, if I run sys.resource_stats on a database on a server located in the North Central US data center, the output looks like this: But, if I run the same query against the same view with a database in a data center in East Asia (I experiment with where I put things), it looks like this (click on it to expand it, probably want to do that into a second tab or window so you can refer to it…
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11Sep 2013 by Grant Fritchey 2 Comments

Execution Plan Cost Estimates

SQL Server, T-SQL
It's been emphasized over and over that the costs of operations within an execution plan, and the estimated costs of the plan themselves are, in fact, estimates. But it goes further than that. The estimated values are based on statistics, or the lack thereof. Statistics themselves are also estimates. This means that the costs you're seeing are extrapolations based on extrapolations. So, you should just ignore those values and move on, right? Wrong. In order to understand how the optimizer is choosing to put together an execution plan for your query so that you can use that understanding to then make intelligent choices as to modifying the query or the structure of your database, you must use the values you have at hand. However, you must also understand where and…
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28Aug 2013 by Grant Fritchey No Comments

Learn Query Tuning in Dallas

SQL Server, T-SQL
I am excited to be able to tell you about an all day seminar that I'll be putting on prior to the Dallas SQL Saturday #255. The seminar will be on November 1, 2013. It's called Query Performance Tuning in SQL Server. We're going to cover the topic from an understanding of the optimizer to collecting data using extended events to reading execution plans and then on to lots of standard problems and their solutions. If you sign up before September 21st you can get a substantial early-bird discount, so I'd jump on it. Also, seats are limited, so don't wait too long. Let's get together and talk query tuning.
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05Jun 2012 by Grant Fritchey 5 Comments

Guest Blog

SQL Server
I was given the opportunity to put together a guest blog post for the MVP blog. I did a little something on determining whether or not you have high memory use through the use of a DMO. Check it out.
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