Effective monitoring involves taking periodic snapshots of current performance to isolate processes that are causing problems, and gathering data continuously over time to track performance trends. Ongoing evaluation of the database performance helps you minimize response times and maximize throughput, yielding optimal performance. You need to thoroughly analyze the application requirements, understand the logical and physical structure of the data, assess database usage, and negotiate tradeoffs between conflicting uses such as online transaction processing OLTP versus decision support.
Microsoft SQL Server and the Microsoft Windows operating system provide utilities to view the current condition of the database and track performance as conditions change. Monitoring SQL Server helps you:. Determine whether you can improve performance. For example, by monitoring the response times for frequently used queries, you can determine whether changes to the query or indexes on the tables are required. Evaluate user activity. For example, by monitoring users trying to connect to an instance of SQL Server, you can determine whether security is set up adequately and test applications or development systems.
For example, by monitoring SQL queries as they are executed, you can determine whether they are written correctly and producing the expected results. Changing conditions result in changing performance. In your evaluations, you can see performance changes as the number of users increases, user access and connection methods change, database contents grow, client applications change, data in the applications changes, queries become more complex, and network traffic rises.
Using tools to monitor performance helps you associate changes in performance with changing conditions and complex queries. By monitoring the response times for frequently used queries, you can determine whether changes to the query or indexes on the tables where the queries execute are required.
In a nutshell, SQL performance tuning consists of making queries of a relation database run as fast as possible. Actual execution plans are generated after the queries run. But how do you go about generating an execution plan? Resource usage is an essential factor when it comes to a SQL database performance. It enables you to view SQL Server objects, performance counters, and the behavior of other objects.
Another important technique for SQL performance tuning is to analyze the performance of Transact-SQL statements that are run against the database you intend to tune. But the tool goes beyond that: it also recommends actions you should take based on its analysis.
For instance, it might advise you to create or remove indexes. There are dozens of them and they can provide a wealth of information about a wide range of topics. There are several DMVs that provide data about query stats, execution plans, recent queries and much more.
These can be used together to provide some amazing insights. For example, the query below can be used to find the queries that use the most reads, writes, worker time CPU , etc. The result of the query will look something like this below. The image below is from a marketing app I made.
You can see that one particular query the top one takes up all the resources. By looking at this, I can copy that SQL query and see if there is some way to improve it, add an index, etc. Pros: Always available basic rollup statistics. Retrace tells you how many times a query was executed, how long it takes on average, and what transactions called it.
This is valuable information for SQL performance tuning. APM solutions collect this data by doing lightweight performance profiling against your application code at runtime.
Retrace collects performance statistics about every SQL query being executed. You can search for specific queries to find potential problems. By selecting an individual query, you see how often that query is called over time and how long it takes. You also see what webpages use the SQL query and how it impacts their performance. Since Retrace is a lightweight code profiler and captures ASP.
It focuses on architectural concepts, troubleshooting scenarios and best practices related to Plan Cache. This module covers Extended Events. It focuses on architectural concepts, troubleshooting strategy and usage scenarios for Extended Events. This module covers tools and techniques to monitor, trace and baseline SQL Server performance data.
It focuses on data collection strategy and techniques to analyze collected data. Skip to main content. This browser is no longer supported.
Download Microsoft Edge More info. Contents Exit focus mode. Save Table of contents. Audience profile The primary audience for this course is individuals who administer and maintain SQL Server databases and are responsible for optimal performance of SQL Server instances that they manage. Job role: Developer. Features: none. Find a learning partner. Browse All Sessions. Skills gained Describe the high level architectural overview of SQL Server and its various components.
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