Microsoft sql server performance benchmark

Some common performance problems which the Performance Dashboard can help identify include:. The Performance Dashboard will appear as a new tab. Below is an example where a CPU bottleneck is clearly present:. The Missing Indexes report shows potentially missing indexes that the Query Optimizer identified during query compilation.

However, these recommendations should not be taken at face value. Microsoft recommends that indexes with a score greater than , should be evaluated for creation, as those have the highest anticipated improvement for user queries.

Always evaluate if a new index suggestion is comparable to an existing index in the same table, where the same practical results can be achieved simply by changing an existing index instead of creating a new index. Time to investigate! You can create as many custom baselines as you want and edit them at any time by clicking the build button to the right of the drop-down menu. For multi-metric charts, you can change the default metric shown without editing the baseline by right-clicking it in the legend.

These visualization capabilities are great, but the feature wouldn't be complete without the ability to generate alerts using baseline metrics. This is where the other SQL Sentry functionality comes in.

Using baselines in an Advisory Condition is easy. Instead of setting an explicit threshold value on the right side of a comparison, select Performance Counter Baseline, and its value for the metric is automatically substituted. This way, if a baseline value ever changes, you won't need to update any conditions. In the Advisory Condition shown in Figure 12, we've added three separate baseline tests with some basic math to control the amount of deviation from the baseline value required to trigger the alert.

The system knows to use the Business Hours baseline value for the counter on the left side of the comparison. Basically, the interface uses context-aware shorthand that will trigger the alert whenever Total SQL Server Waits are three or more times greater the baseline, when PLE is half the baseline, or when Total Server Processor Time is twice the baseline.

Since it generally reads easier with the counter on the left and threshold on the right, we recommend this approach anyway. It provides you with an empirical context for building a comprehensive service monitoring regimen. This enables you to provide exceptional levels of customer service, uptime, and proactive management for your SQL Server infrastructure.

Without a baseline, you risk many potential problems with your SQL Server instances, including the following:. In contrast, a benchmark shows you SQL Server performance under a specific, predefined workload. Plus, using the SQL Server native tools requires you to manually conduct a database performance baseline or benchmark test, assess the findings, and manually build out an entire set of alerts based upon those findings.

Using SQL Sentry, you can automatically collect real system performance measurements, turn them into baselines, and reference them in Advisory Conditions to trigger the appropriate alerts. Additionally, SQL Sentry baseline metrics can be used as the basis for all your alerting.

Though other alerting systems struggle with these problems, SQL Sentry is designed to handle them all from the ground up—quickly, directly, and easily. For more details about the advanced alerting and baselining capabilities in SQL Sentry, refer to the baseline blog posts here.

Finally, for a free day trial of SQL Sentry, click here. When configuring PerfMon for a baseline or benchmark test, consider using the following objects and counters. By default, set the PerfMon session to record the log file to a location other than the system under test. Set the polling frequency to be as low as is acceptable, keeping in mind the added overhead created by a frequent polling interval.

A typical polling interval might be anywhere from every three seconds to 30 seconds or even every minute under some baselines or benchmark tests. This list is for quick reference only. The following wait statistics may be useful when creating a baseline or running a benchmark test. You need only collect the appropriate data from the sys. As with collecting PerfMon objects and counters during a baseline or benchmark test, record the results to a location not on the system under test.

In addition, recognize the polling frequency adds overhead. Collect only what you need at a somewhat lower frequency than you might with PerfMon object counters—every one to 15 minutes, for example. Here are a few details about the top wait statistics:. Products Overview. Database Monitoring. Free Tools. By Role. Cloud Migration. The higher this metric is, the more likely users will be delayed. This means that development work for the new version of SQL Server is complete along most dimensions needed to bring the industry-leading performance and security of SQL Server to… Read more.

This post was authored by Joseph Sirosh, Corporate Vice President, Microsoft Data Group Leveraging intelligence out of the ever-increasing amounts of data can make the difference between being the next market disruptor or being relegated to the pages of history.

Today at the Microsoft Data Amp online event, we will make several product announcements that… Read more.

This is the second blog in a five-part series. CodingBarfield CodingBarfield 3, 2 2 gold badges 24 24 silver badges 52 52 bronze badges. Would creating a big temp table and filling querying it give a decent baseline performance to compare? Add a comment. Active Oldest Votes. May I suggest using the same query but set the following before the Query. Improve this answer.

CodingBarfield 3, 2 2 gold badges 24 24 silver badges 52 52 bronze badges. Richard Ouimet Richard Ouimet 3 3 silver badges 6 6 bronze badges. Sure that would give some local information. I'm looking for a simple query that exposes the processing power of the server that can be run with minimal access to the sql server. We can't connect to 's of sql servers and run a SQL Profiler and trace to see how performant they are.