Query Store has mechanisms for automatically cleaning your data. It is possible to cause them to break down. While presenting a session about the Query Store recently, I was asked what happened if you set the size of the Query Store below the amount of data currently in the store. I didn't know the answer, so we tried it. Things got a little weird. Bryan Hundley of Marathon Consulting asked the question, so Bryan, this blog post is for you. Automated Cleanup There are actually two kinds of automated cleanup inside the Query Store. First, you have a time-based cleanup. By default it keeps queries that have been accessed within the last 30 days. Anything older, it tosses. If you have the stale_query_threshold_days (all in sys.database_query_store_options) set to 0, it…
The second best thing to questions that people ask is when I sit down to write a book. It's so easy to miss things in the day-to-day grind of doing work. Then, late at night, you're working on a chapter, so you read up on the documentation to ensure that you're not missing anything. Of course, then you find, yes, you are missing something. In my case, sys.query_store_wait_stats. sys.query_store_wait_stats. If you follow the link above, it'll give you what you need to know, but, I figured I'd provide a little more clarity because I think there are some pitfalls in using this data. I love Query Store (do a search to see all the exploration I've done with it). One of my favorite things is the time intervals. It breaks…
A performance tuning tip I saw recently said, "Views don't perform as well as stored procedures." <sigh> Let's break this down, just a little. Definitions A view is nothing but a query. The definition given by Microsoft is that it's a virtual table that's defined by a query. It's a query that is used to mask data or perform a complex join or similar behaviors. Views are queries that get stored in the database. Views can be easily referred to as if they were a tables. That's it. I've written in the past about views, including how they can possibly perform poorly. A stored procedure is also a query, or a series of queries, or, a whole lot more. Microsoft's definition of a stored procedure basically defines it as programming object that can accept input through…
Blog post #7 in support of Tim Ford’s (b|t) #iwanttohelp, #entrylevel. Read about it here. Sooner or later when you're working with SQL Server, someone is going to complain that the server is slow. I already pointed out the first place you should look when this comes up. But what if they're more precise? What if, you know, or at least suspect, you have a problem with a query? How do you get information about how queries are behaving in SQL Server? Choices For Query Metrics It's not enough to know that you have a slow query or queries. You need to know exactly how slow they are. You must measure. You need to know how long they take to run and you need to know how many resources are…
Blog post #4 in support of Tim Ford’s (b|t) #iwanttohelp, #entrylevel In SQL Server, in the T-SQL you use to query it, a view looks just like a table (I'm using the AdventureWorks2014 database for all these examples): SELECT * FROM Production.vProductAndDescription AS vpad; SELECT vpad.Name, vpad.Description, vpmi.Instructions FROM Production.vProductAndDescription AS vpad JOIN Production.Product AS p ON p.ProductID = vpad.ProductID JOIN Production.vProductModelInstructions AS vpmi ON vpmi.ProductModelID = p.ProductModelID WHERE vpad.ProductID = 891 AND vpad.CultureID = 'fr'; The above query actually combines two views and a table. This is what is commonly referred to as a "code smell". A code smell is a coding practice that works, but that can lead to problems. In this case, we're talking about performance problems. The performance problems when using views to join to…
Query Store is pretty amazing. I'm loving working with it. I think it's likely to change how query tuning will be done in the future. Lots of people are probably going to just use the reports and tools in SQL Server Management Studio. However, a pretty healthy chunk of us will start using the system views in order to programmatically access the information stored in Query Store. One of the first things you're going to want to do is track down your query. The primary views you'll want are sys.query_store_query and sys.query_store_query_text. They join together based on the query_text_id. Let's take four scenarios and see if we can retrieve the correct query. First up, an ad hoc query: SELECT e.NationalIDNumber, p.LastName, p.FirstName, a.City, bea.AddressTypeID FROM HumanResources.Employee AS e JOIN Person.BusinessEntityAddress AS…
I have a pre-con coming up at the PASS Summit. You can read about it here. I named it "Query Performance Tuning in SQL Server 2014" because it seemed like a good idea to bring out the aspects of 2014, and we will. But, I need to tell you, this is primarily a session about query performance tuning in SQL Server, full stop. I'm going to cover information that's applicable all the way back to SQL Server 2000 and 2005. The majority of the information will be applicable to 2008 and up. I'm going to go over the things you can do with dynamic management views to pull information about queries to tune right out of the cache. That's applicable to more than 2014. We're also going to go over…
It's kind of fun to see Azure development artifacts on display. I've posted about them before, a couple of times. I'm starting to finally get systematized about the whole thing, just so I can see stuff as it changes rather than discover them by accident or get told about them by someone else. Here's a little query I'm running to see when system views were last modified: SELECT av.name, av.create_date, av.modify_date FROM sys.all_views AS av ORDER BY av.modify_date DESC; The most recent stack of changes are here: I'll keep an eye on them to see what I can spot about interesting new functionality. I also compared the listing of all views in Azure to those on a SQL Server 2012 instance and came up with a list of differences. These…
A view is simply a query that behaves something like a table. Most people know this. Most people also know that a view is simply a mask on top of what might be a very complex query. It all seems really simple. You call the view inside a simple query, the view runs the underlying complex query. Most people might not know that when a view is called and it gets sent to the optimizer, the optimizer unpacks the view and binds the component parts of the query necessary to create an execution plan that will return the data requested. What I didn't know until recently was that the optimizer is VERY smart. Not only does it unpack the query of the view, but it will change the query that…
I've been seeing more and more noise about how ChatGPT can help with technical stuff, writing code, all that. Well, I wanted to know how best to set up Query Store in SQL Server 2022, so I asked it. I'm not going to say this any other way, ChatGPT lied to me. Here's the conversation. I'm in italics. The Conversation With ChatGPT What are the best settings for Query Store in SQL Server 2022 Query Store is a powerful feature in SQL Server 2022 that helps in monitoring query performance and identifying query regressions over time. However, setting up Query Store requires careful consideration of several factors, including the size of the database, the frequency of queries, and the query workload. Here are some best practices for configuring Query Store…