25Jun 2014 by Grant Fritchey 2 Comments

The Utility of Execution Plans in Natively Compiled Procedures

T-SQL
I'm actually having problems identifying the utility of execution plans when working with natively compiled procedures. Or, put another way, why bother? I've posted a couple of times on natively compiled procedures and SQL Server execution plans. I've found the differences interesting and enlightening, but I'm seriously questioning why I should bother, at least currently. I'm sure there will be many changes to the behaviors of the natively compiled procedures and their relationship with execution plans. But right now, well, let's look at an example. I have three simple tables stored in-memory. Here's the definition of one: CREATE TABLE dbo.Address ( AddressID INT IDENTITY(1, 1) NOT NULL PRIMARY KEY NONCLUSTERED HASH WITH (BUCKET_COUNT = 50000), AddressLine1 NVARCHAR(60) NOT NULL, AddressLine2 NVARCHAR(60) NULL, City NVARCHAR(30) COLLATE Latin1_General_100_BIN2 NOT NULL, StateProvinceID INT…
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17Jun 2014 by Grant Fritchey 2 Comments

Natively Compiled Procedures and Bad Execution Plans

Uncategorized
I've been exploring how natively compiled procedures are portrayed within execution plans. There have been two previous posts on the topic, the first discussing the differences in the first operator, the second discussing the differences everywhere else. Now, I'm really interested in generating bad execution plans. But, the interesting thing, I wasn't able to, or, rather, I couldn't see evidence of plans changing based on silly things I did to my queries and data. To start with, here's a query: CREATE PROC [dbo].[AddressDetails] @City NVARCHAR(30) WITH NATIVE_COMPILATION, SCHEMABINDING, EXECUTE AS OWNER AS BEGIN ATOMIC WITH (TRANSACTION ISOLATION LEVEL = SNAPSHOT, LANGUAGE = N'us_english') SELECT a.AddressLine1, a.City, a.PostalCode, sp.Name AS StateProvinceName, cr.Name AS CountryName FROM dbo.Address AS a JOIN dbo.StateProvince AS sp ON sp.StateProvinceID = a.StateProvinceID JOIN dbo.CountryRegion AS cr ON…
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10Jun 2014 by Grant Fritchey 3 Comments

Differences In Native Compiled Procedures Execution Plans

Uncategorized
All the wonderful functionality that in-memory tables and natively compiled procedures provide in SQL Server 2014 is pretty cool. But, changes to core of the engine results in changes in things that we may have developed a level of comfort with. In my post last week I pointed out that you can't see an actual execution plan for natively compiled procedures. There are more changes than just the type of execution plan available. There are also changes to the information available within the plans themselves. For example, I have a couple of stored procedures, one running in AdventureWorks2012 and one in an in-memory enabled database with a few copies of AdventureWorks tables: --natively compiled CREATE PROC dbo.AddressDetails @City NVARCHAR(30) WITH NATIVE_COMPILATION, SCHEMABINDING, EXECUTE AS OWNER AS BEGIN ATOMIC WITH (TRANSACTION ISOLATION LEVEL…
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05Jun 2014 by Grant Fritchey 2 Comments

Natively Compiled Procedures and Execution Plans

T-SQL
The combination of in-memory tables and natively compiled procedures in SQL Server 2014 makes for some seriously screaming fast performance. Add in all the cool functionality around optimistic locking, hash indexes and all the rest, and we're talking about a fundamental shift in behavior. But... Ah, you knew that was coming. But, you can still write bad T-SQL or your statistics can get out of date or you can choose the wrong index, or any of the other standard problems that come up that can negatively impact all those lovely performance enhancements. Then what? Well, same as before, take a look at the execution plan to understand how the optimizer has resolved your queries. But... Yeah, another one. But, things are a little different with the natively compiled procedures and…
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18Mar 2014 by Grant Fritchey 2 Comments

Finding Mistakes

SQL Server, T-SQL
Ever had that moment where you start getting errors from code that you've tested a million times? I had that one recently. I had this little bit of code for pulling information directly from query plans in cache: WITH XMLNAMESPACES(DEFAULT N'http://schemas.microsoft.com/sqlserver/2004/07/showplan'), QueryPlans AS ( SELECT RelOp.pln.value(N'@PhysicalOp', N'varchar(50)') AS OperatorName, RelOp.pln.value(N'@NodeId',N'integer') AS NodeId, RelOp.pln.value(N'@EstimateCPU', N'decimal(10,9)') AS CPUCost, RelOp.pln.value(N'@EstimateIO', N'decimal(10,9)') AS IOCost, dest.text FROM sys.dm_exec_query_stats AS deqs CROSS APPLY sys.dm_exec_sql_text(deqs.sql_handle) AS dest CROSS APPLY sys.dm_exec_query_plan(deqs.plan_handle) AS deqp CROSS APPLY deqp.query_plan.nodes(N'//RelOp') RelOp (pln) ) SELECT qp.OperatorName, qp.NodeId, qp.CPUCost, qp.IOCost, qp.CPUCost + qp.IOCost AS EstimatedCost FROM QueryPlans AS qp WHERE qp.text = 'some query or other in cache' ORDER BY EstimatedCost DESC; I've probably run this... I don't know how many times. But... I'm suddenly getting an error: Msg 8114, Level 16, State 5,…
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12Feb 2014 by Grant Fritchey 1 Comment

SQL Server 2014 and the New Cardinality Estimator

Uncategorized
Cardinality, basically the number of rows being processed by an operation with the optimizer, is a calculation predicated on the statistics available for the columns in question. The statistics used are generally either the values from the histogram or the density. Prior to SQL Server 2014, and going all the way back to SQL Server 7.0 (in the Dark Ages when we had to walk uphill to our cubicles through 15 feet of snow battling Oracle DBAs and Fenris the whole way), there's been one cardinality estimator (although you can modify the behavior somewhat with a traceflag in 2008R2 and 2012). Not any more. There's a possibility for really complex, edge-case queries, that you may run into a regression from this. You control whether or not you get the new…
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16Sep 2013 by Grant Fritchey 1 Comment

Why the Lazy Spool Is Bad

SQL Server, T-SQL
First thing, there are no bad operators, just bad parents, uh, I mean query writers, or database designers, or ORM tools. Why do I say this? Because all the operators within a query execution plan serve a purpose. They are there to fulfill a task. Depending on where and when you see them, they're doing exactly what you ask of them. The issues come up because you're asking them to do a task that they may not be well suited for. This comes from inappropriate structures and inappropriate code. Lazy spools are not really bad (that was just link bait). In fact, depending on the query, what's being done, how you're retrieving data, what data is being retrieved, the lazy spool is actually awesome. But, it's good to know what…
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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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25Mar 2013 by Grant Fritchey 5 Comments

Execution Plans in Azure SQL Database

Azure
Microsoft has stated pretty clearly that they're putting code on Azure first, ahead of the desktop. Which makes one wonder when we're going to start to see some of this cool stuff within SSMS. What cool stuff you ask? Well, let me explain. Let's start with a query: SELECT m.MovieName, msd.MovieStageName, st.StageTypeDesc FROM dbo.Movie AS m JOIN dbo.MovieStage AS ms ON m.MovieId = ms.MovieID JOIN dbo.MovieStageDefinition AS msd ON ms.MovieStageDefinitionId = msd.MovieStageDefinitionId JOIN dbo.StageType AS st ON msd.StageTypeId = st.StageTypeId WHERE m.MovieId = 42; When I run this on Windows Azure SQL Database (WASD) I get the following execution plan: Kind of weird, kind of useful, right? First thing new that I can do is zoom in using that slider bar you seen in the lower left and then graphical…
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30Jan 2013 by Grant Fritchey 4 Comments

Azure SQL Database Execution Plan Differences

Azure, T-SQL
I've been exploring execution plans in Azure SQL Databases a lot lately. I'm getting a presentation together for  some upcoming SQL Saturday events (first one is SQL Saturday #177, Silicon Valley). If you scroll to the bottom of this previous post, I mentioned that there were clearly differences in the optimizer because queries against empty databases were generating different plans. I've loaded up the data in my database, both SQL Server and SQL Database, so I can compare real behaviors. Doing so, I found a fun difference, even though I was running the query and generating the plan from SQL Server Management Studio. Here's the property sheet from the SELECT operator for the query run against SQL Server: And here's the property sheet from the SELECT operator for the query…
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