11Jun 2018 by Grant Fritchey 6 Comments

Plan Metrics Without the Plan: Trace Flag 7412

SQL Server, SQL Server 2016, SQL Server 2017, T-SQL
I place a lot of emphasis on capturing actual execution plans because of the runtime metrics, but with Trace Flag 7412, we don't need the plan. This is great news, because capturing execution plans, even using extended events, is an expensive proposition. However, using either the query_thread_profile event, or, Trace Flag 7412, we can get the runtime metrics without the plan. Trace Flag 7412 Here's how it works.You can either be running the extended event, query_thread_profile (a debug event, but one documented and supported by Microsoft) or, enable the Trace Flag 7412. I like to use the extended event in a targeted fashion to easily see behaviors on a query without having to capture the plan. You can even capture the information and then combine it with an estimated plan…
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04Jun 2018 by Grant Fritchey 5 Comments

Extended Events, the system_health Session, and Waits

SQL Server, SQL Server 2016, SQL Server 2017, T-SQL
I advocate for, use, document, teach, and just downright love, Extended Events. They are so much better than the old Trace Events (aka, Profiler) that it's sometimes difficult to keep from just gushing. Let's talk about a common situation that you're going to run into on your servers all the time and how you can put Extended Events to work to help you, without actually doing any work at all. What's that? Be lazy and get rewards? Yes. The Extended Events system_health Session On your servers, any of them that are SQL Server 2008 or newer, right now, unless you've performed actions to prevent this, you're running the Extended Events system_health session. It's just happening, currently, on all your servers. Nothing you need to do about it at all. I'll…
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29May 2018 by Grant Fritchey 2 Comments

Query To Retrieve Statistics Data: dm_db_stats_histogram

SQL Server 2017, T-SQL
Starting with SQL Server 2016 Sp1 CU2, a new way of directly querying statistics, specifically the histogram, has been introduced: dm_db_stats_histogram. We've always been able to query the statistics using DBCC SHOW_STATISTICS. However, the output, three different result sets with three different structures, made automating access to statistics information a pain. Now, we have more capability through dm_db_stats_histogram. dm_db_stats_histogram To access the information in dm_db_stats_histogram, you just have to pass in the object_id and the statistics_id values for the statistics you're interested in like this: SELECT * FROM sys.dm_db_stats_histogram(OBJECT_ID('HumanResources.Employee'), 1) AS ddsh; It's very straight forward to use. The results look like this: Handy right? Now you can query the histogram directly. Yeah, I hear a few of you saying... and this helps me... how? Here's an example. This query…
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14May 2018 by Grant Fritchey 11 Comments

A View Will Not Make Your Query Faster

SQL Server 2017
Twice recently, one on a blog post, and one in a forum post, I've seen people state, unequivocally, without reservation or hint of a caveat, that, "Oh, just put that query into a view. It will run faster." To quote the kids these days... Time for a rant. But First... Frequently when I post something that says, "Query Y runs faster than Query Red", I get responses from people saying, "Yeah, but if you run Query Red more than once..." or "Query Red was experiencing blocking..." or "You can't say Query Y is ALWAYS faster..." So, before we go down that road, a quick note on methodology. First, I'll be using Adventureworks because, reasons. Second, I won't run any of the following queries once. When doing something like this, I'll…
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07May 2018 by Grant Fritchey 5 Comments

When Simple Parameterization…Isn’t

SQL Server 2017
I'm desperately working to finish up a new version of my book on Execution Plans. We're close, so close. However, you do hit snags. Here's one. My editor decided to change one of my queries. I used a local variable so that I got one set of behaviors. He used a hard-coded value to get a different set. However, the really interesting thing was that his query, at least according to the execution plan, went to simple parameterization. Or did it? Simple Parameterization The core concept of simple parameterization is easy enough to understand. You have a trivial query using a hard-coded value like this: SELECT * FROM Person.Person AS p WHERE p.BusinessEntityID = 42; The resulting execution plan looks like this: The initial, graphical, pointer that we're seeing parameterization…
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16Apr 2018 by Grant Fritchey 4 Comments

Execution Plan Shortcoming in Extended Events

SQL Server, SQL Server 2016, SQL Server 2017
I use Extended Events almost exclusively for capturing query metrics. They are the most consistent and lowest cost mechanism for getting the time and resources used by a query. They can be filtered, combined with other events, they're just marvelous... until you capture an execution plan. Execution Plans in Extended Events Don't get me wrong. Capturing execution plans with Extended Events is the way to go if you're attempting to automate the process of capturing plans on specific queries on an active system. It's step two that bugs me. So, we capture the plan. Here's an example script. Captures all the various plans and the batch, puts 'em together using causality tracking: CREATE EVENT SESSION ExecutionPlansOnAdventureWorks2014 ON SERVER ADD EVENT sqlserver.query_post_compilation_showplan (WHERE ( sqlserver.database_name = N'AdventureWorks2014')), ADD EVENT sqlserver.query_post_execution_showplan (WHERE…
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26Mar 2018 by Grant Fritchey 6 Comments

Query Store and Automated Cleanup

SQL Server 2016, SQL Server 2017
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…
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12Mar 2018 by Grant Fritchey 6 Comments

Execution Plans and the GDPR

SQL Server, SQL Server 2016, SQL Server 2017
What? Execution plans and the GDPR? Is this it? Have I completely lost it? Well, no, not on this topic, keep reading so I can defend myself. GDPR and Protected Data The core of the GDPR is to ensure the privacy and protection of a "natural person's" information. As such, the GDPR defines what personal data is and what processing means (along with a bunch of additional information). It all comes down to personally identifying (PI) data, how you store it, and how you process it. More importantly, it's about the right for the individual, the natural person, to control their information, up to and including the right to be forgotten by your system. OK. Fine. And execution plans? Execution Plans and PI Data If you look at an execution…
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05Mar 2018 by Grant Fritchey 11 Comments

Every Single Execution Plan is an Estimated Plan

SQL Server, SQL Server 2016, SQL Server 2017
All the execution plans are estimated plans. All of them. There fundamentally isn't any such thing as an "Actual" plan. Where Do You Get Execution Plans? There are a lot of sources for execution plans. You can capture them using extended events (or, if you must, trace). You can capture them through the Management Studio gui. You can also capture them from the SQL Operations Studio gui. You can query the cache through the DMVs and pull them in that way. You can look at plans in query store. All these resources, yet, for any given query, all the plans will be identical (assuming no recompile at work). Why? Because they're all the same plan. Each and every one of them is an estimated plan. Only an estimated plan. This…
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05Feb 2018 by Grant Fritchey 3 Comments

Wait Statistics on a Query

SQL Server, SQL Server 2016, SQL Server 2017
Wait statistics are a vital part of understanding what is causing your system to run slowly. Capturing them can be done through a variety of mechanisms from sys.dm_os_wait_stats (use this query for that) to sys.dm_db_wait_stats in Azure SQL Database. Those cover the system and the database, however, what about capturing query wait statistics on a specific query? Query Wait Statistics There was a time when this was actually kind of difficult. However, now we have a lot of different tools to capture query wait statistics. First up, and really, one of the best and easiest ways to deal with this, is to use the wait statistics captured by the Query Store. The only drawback to this method is that it is an aggregation of query wait statistics for the given…
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