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SQL Performance Tuning - SQL Performance Tuning in SQL Server - SQL Performance Tuning TutorialPerformance tuning methods -
You can use the Database Engine Tuning Advisor to analyze the performance implications. 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. One of the great features of SQL Server is all of the dynamic management views DMVs that are built into it.
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.
You can use them together to get 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. One of the great features of application performance management APM tools is the ability to track SQL queries. For example, Retrace tracks SQL queries across multiple database providers, including SQL Server.
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. NET request traces, it even shows you the full context of what your code is doing.
Below is a captured trace showing all the SQL queries and other details about what the code was doing. Retrace even shows log messages within this same view. You can also see the number of records it returns. As you can see, Retrace provides comprehensive SQL reporting capabilities as part of its APM capabilities.
It also provides multiple monitoring and alerting features around SQL queries. Pros: Detailed reporting across apps, per app, and per query. High-performance cluster computing is a well-known use of distributed systems for performance improvements.
Distributed computing and clustering can negatively impact latency while simultaneously increasing load on shared resources, such as database systems.
To minimize latency and avoid bottlenecks, distributed computing can benefit significantly from distributed caches.
A self-tuning system is capable of optimizing its own internal running parameters in order to maximize or minimize the fulfillment of an objective function ; typically the maximization of efficiency or error minimization.
Self-tuning systems typically exhibit non-linear adaptive control. Self-tuning systems have been a hallmark of the aerospace industry for decades, as this sort of feedback is necessary to generate optimal multi-variable control for nonlinear processes.
The bottleneck is the part of a system which is at capacity. Other parts of the system will be idle waiting for it to perform its task. In the process of finding and removing bottlenecks, it is important to prove their existence, typically by measurements, before acting to remove them.
There is a strong temptation to guess. Guesses are often wrong. Contents move to sidebar hide. Article Talk. Read Edit View history. Tools Tools. What links here Related changes Upload file Special pages Permanent link Page information Cite this page Get shortened URL Download QR code Wikidata item.
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Unsourced material may be challenged and removed. You have to make a join on a specific region. You can achieve this by using a SELECT INTO statement and then joining with the temp table:.
Note: some SQL developers also avoid using SELECT INTO to create temp tables, saying that this command locks the tempdb database, disallowing other users from creating temp tables.
Fortunately, this is fixed in 7. But wait! As described above, we should only be including the columns we need in our subquery i.
Taking that into account:. All of these SQL snippets will return the same data. But with temp tables, we could, for example, create an index in the temp table to improve performance. This SQL optimization technique concerns the use of EXISTS. If you want to check if a record exists, use EXISTS instead of COUNT.
While COUNT scans the entire table, counting up all entries matching your condition, EXISTS will exit as soon as it sees the result it needs. This will give you better performance and clearer code.
As DBAs working with SQL Server are likely aware, the version marked an important shift in defaults and compatibility management.
SQL database administrators DBAs and developers often clash over data- and non-data-related issues. Drawn from my experience, here are some tips for both parties on how to get along and work together effectively.
If your application stops working suddenly, it may not be a database issue. For example, maybe you have a network problem. Investigate a bit before you accuse a DBA!
They have a lot to share and offer. This is natural: they need to analyze the database as a whole and examine the impact of any changes from all angles.
Be patient! Do not ask SQL DBAs to make data changes in a production environment. If you want access to the production database, you have to be responsible for all your own changes.
Make it easy to simulate a production server with simple tests on real-world data. This will be a significant time-saver for others as well as yourself. Developers spend all day on systems with frequently-changed business logic. Try to understand this world being more flexible, and be able to break some rules in a critical moment.
SQL databases evolve. The day will come when you have to migrate your data to a new version. Developers count on significant new functionality with each new version. Instead of refusing to accept their changes, plan ahead and be ready for the migration.
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