SQL Server Performance Tuning Made Simple

SQL Server Performance Tuning Made Simple

In this post, we’ll walk you through a methodology for adjusting SQL Server performance and highlight some tools, tips, and approaches for keeping an eye on things and fixing what needs fixing.

​​When it comes to large-scale database operations, many businesses turn to SQL Server. There is a need for efficient tools that help database managers detect, analyze, and fix performance issues in SQL Server databases as they expand to accommodate more and more users and applications.

Components of SQL Server Performance Monitoring

The environment in which SQL Server operates is inherently unstable, as both the number of users and the types of applications that use the database may fluctuate at any given time.

To lessen the need for extensive manual optimization, a SQL Server database can handle system resources like disk space and RAM on its own. Tuning SQL Server performance lets administrators examine performance patterns and make adjustments as necessary.

1.

Pick your targets for watching

​SQL Server performance tuning is greatly aided by having a firm grasp on why you are keeping tabs on the server in the first place. A few examples of possible monitoring aims are:

• Establishing a standard for performance and tracking fluctuations
• determining the source of a performance issue and the part of a system or procedure that has to be tweaked in order to improve it
• Analyzing how various programs affect performance, keeping tabs on user behavior, and putting the database through various stress tests
• Preparing for unscheduled downtime by performing backup and recovery tests
• Trying out alternative configurations of a database’s design or hardware

2.

Select a Device

If you know why you need to keep an eye on something, you can pick the best tool for the job. Both SQL Server performance and Windows provide performance optimization tools that can be used to keep tabs on situations with high transaction volumes.

3.

Choosy Metrics and Parts

• First, you must decide what aspects of the SQL Server database you are responsible for keeping an eye on. Traces can be run in SQL Server performance Profiler to track only the events you care about while ignoring the rest. In order to keep track of specific parts, you’ll need to choose the appropriate events.
• The metrics to be measured should be decided upon when the components to be monitored have been identified. In order to ensure that the data collected is relevant to the monitoring goals, you can filter the data collected from the events you choose to monitor. Reducing the amount of trace data collected helps save system resources needed for optimizing SQL Server performance.

4.

Watch the data source

• Launch your monitoring tool on a regular basis to begin gathering information on a subset of events and metrics.

5.

Look at the numbers

Examine the information gathered by the tool to make sure the monitoring goals are met. If the data is not helping you accomplish your goals, such as pinpointing the cause of a performance decline, consider switching up the parts or metrics you’re keeping tabs on.

• Utility Programs for Keeping Tabs on and Boosting SQL Server Performance
• SQL Server performance can be optimized using a wide variety of tools. Several common resources are summarized in the following list.
• Functions Predefined in Transact-SQL
• SQL Server features report database activity beginning with the server’s initialization. Predefined counters are used to store the data.
• Integrating DBCC into Transact-SQL
• To check the database’s physical and logical integrity and obtain performance metrics, you can use DBCC statements.
• An Expert Opinion on Tuning Your Database Engine (DTA)
• Checks how a Transact-SQL command will affect the database to ensure optimal performance. In order to optimize speed, DTA can automatically implement changes to indexes, views, and partitions.

Experimental Database Helper (DEA)

A novel method based on A/B testing for optimizing SQL Server performance. This is a wonderful method for determining whether or not a given version of the SQL Server database engine is suitable for a given task.

System and application events in Windows

Offers insights into SQL Server, the SQL Server Agent, and the text search process that are not available from other tools; these insights can be used to optimize SQL Server performance. It can be used for both analysis and treatment of a wide range of issues.

Long-term happenings

Microsoft’s lite monitoring tool features New Session Wizard, XE Profiler, and New Session dashboards for managing and analyzing session data.

Real-Time Inquiry Analysis (LQS)

Information concerning query processing is made available in near-real time. As part of SQL Server performance speed tuning, this is an invaluable tool for identifying and fixing slow queries.

The System’s Eye in the Sky (resource usage)

Information about how the database’s resources are being used, such as the number of page requests made to the buffer manager, is made available. By creating counters and objects for unique occurrences, performance may be monitored.

Launch the Activity Monitor in the Management Console.

Gives you a quick overview of what’s going on in the database at the moment, including active and blocked processes, locks, and user activity.

The Management Studio Outcomes Chart

• A speedy diagnostic tool for pinpointing the source of SQL Server performance slowdowns in production.
• Includes details on how well various query execution plans have worked. Variations in query plans can have their effects on performance immediately apparent. Past query data, query plans, and execution times are all automatically gathered and presented by the tool. Data in Query Store can be seen in granular time slices, allowing users to discover trends in database activity and examine the effects of different query plans.

Tricks for Improving SQL Server Performance

• The following are some suggestions for optimizing SQL Server speed in a live database.
• Comparing SQL Server and Amazon Elastic Block Store
• Best practices for configuring SQL Server performance instances with AWS EBS are as follows.
• Pick a volume that’s suitable for the task at hand. Each volume has a unique level of speed and latency, and therefore, its cost varies. In this piece, we’ll delve deeper into the topic of EBS volumes.
• EBS-optimized instance types use configuration stacks fine-tuned for optimal performance and should be tried.
• You can use ultra-low latency disks with tempdb if you store them on locally-attached NVMe storage.
• Stripe EBS volumes, for maximum efficiency. Permit yourself to go beyond what can be contained in a single volume.

Control How Much You Spend On Resources

The Utilization of available resources is a key component of SQL Server performance. System Monitor is the Windows tool for monitoring the activity of SQL Server objects and other system objects and performance counters. One of System Monitor’s best features is that it displays SQL Server and Windows performance counters side by side, making it easier to identify causes of slowdowns.

• To tune your database engine, consult the Database Engine Tuning Advisor.
• To fine-tune your database, you can use Database Engine Tuning Advisor to examine how well your Transact-SQL commands are performing against the database.
• The Advisor has a handy wizard for gauging how much a change to your Transact-SQL queries would affect performance. On top of that, it offers advice, such as whether to add or remove indexes.

Pick out Suspicious Searches

The following T-SQL code will return the 20 queries with the worst performance. Sripal Reddy Vindyala kindly contributed the code for our use. Please be aware that if the query is rarely used, even though the maximum average run time is considerable, the impact on the database will be modest. In contrast, a query’s impact on the database will be substantially greater if it is done frequently but has a moderate average run time.

Refining Inquiries

• The SQL optimizer relies on fine-tuned T-SQL queries and relevant indexes to determine the optimal execution plan for user queries. If you want to improve the performance of frequently used user queries, look at how they are currently being executed.
• Determine which of the query’s operators are responsible for the majority of the time spent processing the query.
• If an operator is taking too long, inquire as to why. Look at the reasons why a scan of a certain table or index is being executed rather than a seek (usually seeks to take less time than scans, but in small tables, scans can be more efficient)
• You need a thorough familiarity with SQL Server’s more than 70 supported operators if you want to know which tweaks will make your queries perform faster under all circumstances.

Conclusion

In this post, I discussed a five-step approach for tweaking SQL Server performance, including setting goals, selecting tools, identifying SQL Server components and metrics to be observed, keeping tabs on the data, and making adjustments.

I also discussed many of the monitoring tools available in SQL Server and Windows, such as Transact-SQL, DTA, DEA, and the Windows application event logs. Last but not least, I went over a few easy adjustments you can make to SQL Server to boost its efficiency:

• Database speed can be improved by keeping an eye on resource utilization in order to pinpoint SQL Server and Windows objects causing bottlenecks.
• The Database Tuning Advisor can be used to examine the efficiency of T-SQL queries and provide suggestions for enhancement.
• Choosing to work on the top 20 slowest inquiries
• Adjusting queries via inspecting their code’s execution flow and adjusting the way operators are used

With any luck, you’ll be able to use this information to speed up and streamline your SQL Server performance deployment.

About Enteros

​Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.