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…
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…
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…
I know. You love Profiler. I hear you. You're wrong, but that's OK. Kidding... mostly. Unfortunately though, I think a lot of what passes for issues and problems with Extended Events is actually a lack of knowledge about how they work. Let's take an example and run with it. No Grid in Extended Events One of the pushbacks I hear about using Extended Events is that the Live Data GUI just doesn't have that neat Profiler grid output. Instead you see a list of events in the top pane and then you have to look at the details in the bottom pane. It looks like this out of the gate: You're right. That's a royal pain. That's it. Toss Extended Events. Back to Profiler. Well, hang on a second. Let's…
I love the Query Store. Seriously. It’s a huge leap forward in the capabilities of Azure SQL Database and SQL Server in support of performance monitoring and query optimization. One of my favorite aspects of the Query Store is the ability to force plans. Frankly though, it’s also the scariest part of the Query Store. I do believe that plan forcing will be one of the most ill-used functions in SQL Server since the multi-statement table-valued user-defined function (don’t get me started). However, unlike the UDF, this ill-use will be because of poor understanding on the part of the user, not a fundamental design issue. No, plan forcing and the Query Store are very well constructed. Let me give you an example of just how well constructed they are. Let’s…
The question came up at SQL Rally, "Can you use Extended Events to monitor for query timeouts?" My immediate response was yes... and then I stood there trying to think of exactly how I'd do it. Nothing came quickly to mind. So, I promised to track down the answer and post it to the blog. My first thought is to use the Causality Tracking feature to find all the places where you have a sql_batch_starting without a sql_batch_completed (or the same thing with rpc calls). And you know what, that would work. But, before I got too deep in trying to write the query that would find all the mismatched attach_activity_id values that have a sequence of 1, but not one of 2, I did some additional reading. Seems there's…