Wouldn't it be great to be able to directly monitor specific behaviors within SQL Server, like, oh, I don't know, knowing exactly when, and how, someone is using BULK INSERT? Well, you can, thanks to Extended Events through the bulk_insert_usage event. Bulk_insert_usage The BULK INSERT command is extremely useful within SQL Server. It's a way to move data into the database and provide some formatting on the way, efficiently, all through T-SQL. Hard to argue with the utility. Obviously, if you're doing traditional data collection through Trace or Extended Events, you'll see BULK INSERT commands within the T-SQL. However, Extended Events provides a specific event that tracks just the behavior of BULK INSERT: bulk_insert_usage. Documentation on this is somewhat sparse. Some of the best is from a standard source, Jason…
I hear this one all the time: How do I find out who implemented object changes? I also get: Can I see the query that caused object changes? Let's take a look at how you might audit who is doing what and how to your databases. Object Changes in Extended Events If you open up the New Session window for Extended Events in SSMS, the easy way to track down events is to simply type into the box. Here, we care about capturing object changes, so I'm going to simply type object, then scroll a bit: There we are object_altered, object_created and object_deleted. These are the same events that you would see in Trace. Let's use the GUI and take a quick look at what fields they capture: That's in…
One of my favorite little bits of information about Extended Events is the fact that everyone running a full instance of SQL Server has deadlock information available to them, even if they never enabled Trace Flag 1222 through the system_health session. That captures the xml_deadlock_report which has the full deadlock graph. However, what if you want to capture deadlock info, but, you're dealing the GDPR, and transmitting query values could be problematic? Enter xml_deadlock_report_filtered. xml_deadlock_report_filtered If you do a search for this event, you're not going to find much. Doesn't seem like anyone, including Microsoft, has bothered to document it. This is not going to be a comprehensive definition for all things xml_deadlock_report_filtered. However, I can show you why you might want to use it. This is a port of…
Most of the time when I talk about or demo Extended Events, I spend more time talking about query tuning (I have a problem). However, there are tons of things that you can do with Extended Events. Here's a little one that came up, auditing unique constraint violations. Unique Constraint Violations Whether we're talking a primary key or just a constraint, the error you get is number 2627 when you attempt to add a non-unique value. So, the code for a simple way to track this in Extended Events would look like this: CREATE EVENT SESSION [UniqueConstraintViolation] ON SERVER ADD EVENT sqlserver.error_reported (WHERE ([error_number] = (2627))); That's it. That's all you need. Probably, it'd be a good idea to output this to a file (that's usually what I do). However,…
One complaint I've received frequently is that you can't see stored procedure parameter values in Extended Events. That is patently not true. However, it does depend on where and how you capture the events and which stored procedure parameter values you're going for. I think this is a holdover from 2008 when Extended Events... well, let's be kind and say... didn't work well. Now, they do. Let's explore this a little. Capturing Stored Procedure Executions As with most things, there's more than one way to capture stored procedure execution in Extended Events. First up, it depends entirely on how they're called and on your intentions when you capture the information. Here are the three methods I know to capture just the completion metrics on stored procedure calls: rpc_completed sql_batch_completed module_end…
Probably the single most important factor when deciding which query to tune, or actively tuning a query, is how you go about measuring query execution time. SQL Server provides a number of different mechanisms (really, maybe too many) to get this done. However, all measures are not created equally. In fact, they frequently disagree with one another. Let's take a look at this odd phenomenon. Measuring Query Execution Time Before we get into all the choices and compare them, let's baseline on methodology and a query to use. Not sure why, but many people give me blow back when I say "on average, this query runs in X amount of time." The feedback goes "You can't say that. What if it was just blocking or resources or..." I get it.…
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…
A question that I've seen come up frequently just recently is, how to track CPU use over time. Further, like a disk filling up, people want to know how to predict their CPU usage, so that they can easily decide "now is when I upgrade the hardware". Well, the bad news is, that ain't easy. CPU Use Over Time There are a bunch of ways to look at processor usage. The simplest, and probably most common, is to use the Performance Monitor counters such as '% Processor Time'. Query this, you can get an average of the processor usage at a moment in time. Ta-da! Fixed it. I thought you said this was hard Grant. Well, hang on. Are you running on a single processor machine? If so, cool, maybe…