Spotlight For Sql Server

Spotlight For Sql Server – I once attended a great training course on giving effective software demos, and the takeaway was simple: Don’t make your audience wait – show them the good stuff FIRST!

So there you have it, in just three steps in Spotlight on a detailed analysis of SQL Server Enterprise wait events, you can find out what your most difficult queries were for each recent time range:

Spotlight For Sql Server

Spotlight For Sql Server

As simple and intuitive as it is, this screen is more information-rich than you might imagine, so let’s zoom in and break down what you see piece by piece.

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You can look back at any time period in the past week if you use Spotlight’s default retention setting, and you can go back even further if you’re willing to give Spotlight some storage space to store additional information.

Note that the two charts have the same shape and cover the same time period. Above shows the total workload (in milliseconds) generated by the queries running on your SQL Server. The part in blue only shows the load from each statement/application/user/etc. You have selected in the tree control to the left of these graphs, and this can be seen in the background of the total workload shown in orange.

The chart below shows the total workload, but this time broken down by the specific types of work being done on each of your SQL Server resources (CPU, IO, Log, etc.)

Expanding the statements dimension in the tree control, we see that the statements that ran during our selected time range from hardest to easiest. Note that the CREATE PROCEDURE statement that appears at the top of the tree also appears at the top of the details because it created the largest load (159,731 ms for all its executions during our time range, which is 47.55% of the total load per month ). example).

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You may have noticed that there are other dimensions in the tree besides the statement dimension. Let’s see how we can use them. Suppose you have a SQL Server instance with many databases open and you want to see how the total workload of the instance is distributed across these databases. To see this, in the dimension tree, just expand the databases to see them in descending order from the busiest to the least busy.

In our example below, Sales is the busiest database during our time period, accounting for 175,615 milliseconds, or 52.28% of the total workload:

Now that we’ve established that the sales database is where the action is, we’ll expand it, and then expand the application dimension in the branch below to see what programs slice the sales database. In the example below, we can see that the SQL Agent running the job (shown by the job ID and step count) had the biggest impact on the sales database, accounting for 90% of the workload on it:

Spotlight For Sql Server

And we can even go one step further. Now that we’ve established that the SQL Agent (which performed a particular job in steps) was the biggest attacker, we can expand this branch and expand the Statements dimension below it to see the statements that the application ran on . the sale db. In this case, only one statement is fired, and we can click on it to see its text:

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Note that we ended up with the same statement (the CREATE PROCEDURE we saw earlier) – we just came up with a different way to filter a bit first.

This is just one example of using the Queue Events dimension tree—you can see workloads, seen by users, hosts, and more—whatever helps you make the most sense of the data Spotlight has collected. The best way to get your hands on it is to just click around and explore.

Spotlight has conveniently categorized hundreds of different, code-named SQL Server queue types into user-relevant categories. Here is the list:

Note that the default is “All”. This means that when you see a list of statements, databases, applications or users arranged from largest to smallest in the Queue Events screen, the order takes into account the sum of all load types. But what if you want to see statements ranked only by their IO impact? Simply select IO from the drop-down menu o, and the order will now be placed by IO.

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The Spotlight workload analysis works exactly like wait events – it’s just a separate screen because it deals with different units of measure. While the Wait Events screen refers to milliseconds of workload on SQL Server resources, the Workload Analysis screen covers metrics such as request duration (as experienced by the user/application) and the number of reads and writes.

Understanding your SQL Server down to the level of load generated by an individual statement is very powerful information because it makes it easier to solve SQL Server performance problems by finding statements that are candidates for optimization and tuning, rather than just hardware on the problem to throw.

What Spotlight’s Wait Events and Workload Analysis screens bring to the table is easily accessible statement workload information. Although SQL Server itself naturally includes several performance monitoring tools such as Profiler, DMV, Extended Events, and Query Store, they all require a significant amount of skill, time, and attention to set up, administer, and interpret the results. . Spotlight’s approach takes care of all of this, providing a turnkey way to get clear analysis of your SQL Server workload. There are many tools on the market for diagnostics and performance analysis, including of course those from Quest Software, the company I worked for.

Spotlight For Sql Server

So why do I want to introduce you to someone else? The one that only recently started and is therefore still like version 1.0?

How To Collect Performance And System Information In Sql Server

Well, because this one is probably very different from the ones you know. And these differences really do make a difference!

In short, it’s Performance Advisor SaaS (Software-as-a-Service), combined with a data warehouse of anonymized real-world performance data, along with its associated workloads.

Note that YOU have to add some value to get some value back. Specifically, one way to use it is:

All of these items are web-based, so – after successful login – you can access your reports at any time from any web browser, and there are plans to provide detailed trend analysis based on regular uploads.

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The aforementioned trace files are a standard technique that has existed in the SQL Server world for years. Project Luci provides adequate trace templates to make this as few clicks as possible for you: https://vvv.projectluci.com/Developers/SKLServerTraceTemplates

To be fair, in its current version, Project Luci returns a detailed analysis of track data that can be viewed, but it still doesn’t compare to the rest of the world. But that is planned as soon as a statistically reasonable amount of data is available. So please keep more hints…

Not all performance data can reasonably be collected by monitoring, as all monitoring also creates some overhead and a huge amount of raw data. While monitoring is best suited for specific performance tests, other interfaces such as dynamic management views are better suited for getting a general overview of SQL Server performance. Again, the challenge is always to interpret the numbers and decide if this is expected behavior or an indication of serious performance issues…

Spotlight For Sql Server

For the first part – collecting performance metrics and counters – Quest Software’s spotlight on SQL Server has been around for many years. Especially in its Enterprise edition, it does a 24/7 job of collecting various performance metrics from SQL Server and Windows to provide real-time alerts and incident management.

Quest Powers Spotlight Cloud With Azure

In its latest and greatest version (v8.0), Spotlight offers integration with Project Luci. What does it mean? Well, Spotlight usually archives its data anyway. This makes it very easy to regularly upload selected performance metrics to Project Luci once a day.

So if you’re already using Spotlight on SQL Server (either the standalone Enterprise Edition or the Desktop Edition that’s part of the Toad for SQL Server DBA Suite), you can easily leverage this to take advantage of Project Luci. It’s actually one of the main new features of this latest Spotlight version, so make sure you don’t miss it 😉Every user wants their apps to run faster. My primary responsibility is to help people with SQL Server tuning and performance optimization, and I believe there are three important challenges that every DBA faces. Today we will discuss how to detect and diagnose SQL Server performance issues with Spotlight Cloud while discussing three important challenges for today’s DBA: workload analyses, smart alerts and health checks.

When DBAs and developers start building an application, it usually runs faster because there is no real workload going through it. Often, DBAs and developers perform stress testing using third-party tools or load simulation. However, honestly, once the app is launched, the whole scenario is completely different. It is nearly impossible to predict the usage patterns and workload distribution of any application once it begins to grow. This is one area where we often focus on one

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