SQL performance tuning can be a tricky thing. We spend so much time focusing on our business logic, it’s easy to leave the database behind in the dust. But it’s important to keep the DB in mind to maintain quality performance. We need tools in our toolbox to tune our SQL performance. In this post, we map out six tips to help you tune SQL Server.
SQL performance tuning is the tried and true practice of changing how our application talks to our relational database so it can be more performant. We want to do this so we can meet our service-level objectives. Tuning also helps us run non-unit tests faster.
Before us, we have six tips for tuning SQL performance. Each piece of advice doesn’t stand alone. Many of them are connected.
Our first tip is that the application should own the database. This allows us to evolve our system independently of other systems that need our data. If we couple with the DB, the chance of incidental breakages skyrockets. When an application owns the database, we want to start with the use cases of the app, not the data that’s being stored.
Below, I’ll describe many benefits of this approach. For example, the fewer fields we grab from the database at a time, the less bandwidth we use and sometimes the quicker the query becomes.
It requires strong collaboration between the development team and the business stakeholders to make this happen, but the payoff is almost always worth it. If we don’t understand our business use, we can actually tune the database to have worse performance. All tuning is subjective to our customer’s behavior.
All of these tips are quite useless if we have no way to see where our problems are. When we drive a car, we scan our mirrors and check our blind spots to ensure no cars are in our way to change lanes. In the same way, we want something that “checks the mirrors” of the application and can show us where potential database problems may lie. Key places to find DB bottlenecks in our monitoring tool are traffic rates and latency.
With Raygun, you can easily see both throughout your application and break traffic down by endpoints.
Indexing based on query fields is one of the most common pieces of advice you’ll get on SQL performance tuning. Indices will keep a list of fields for you to look up way faster than scanning the entire table. What’s the downside? Every index on a table slows down its time to write since we have to update the index every time we update the table. It’s healthy to only choose fields that are queried often across your application. With your monitoring tool in place, you can easily know what those are. They’re usually fields like foreign keys and natural keys.
If you’re using SQL Server, you can look at your query’s execution plan to find table scans and replace them with indices. For other SQL providers, you may need to rely heavily on your monitoring.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:
1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.
2. Every database seller needs an approach to separate its item from others.
Right now, contrasts are noted where fitting.
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When working in the SQL Server, we may have to check some other databases other than the current one which we are working. In that scenario we may not be sure that does we have access to those Databases?. In this article we discuss the list of databases that are available for the current logged user in SQL Server
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When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.
When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,
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This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below,
In part one, we learned the basics of data, database, database management system, and types of DBMS and SQL.
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When you develop large chunks of T-SQL code with the help of the SQL Server Management Studio tool, it is essential to test the “Live” behavior of your code by making sure that each small piece of code works fine and being able to allocate any error message that may cause a failure within that code.
The easiest way to perform that would be to use the T-SQL debugger feature, which used to be built-in over the SQL Server Management Studio tool. But since the T-SQL debugger feature was removed completely from SQL Server Management Studio 18 and later editions, we need a replacement for that feature. This is because we cannot keep using the old versions of SSMS just to support the T-SQL Debugger feature without “enjoying” the new features and bug fixes that are released in the new SSMS versions.
If you plan to wait for SSMS to bring back the T-SQL Debugger feature, vote in the Put Debugger back into SSMS 18 to ask Microsoft to reintroduce it.
As for me, I searched for an alternative tool for a T-SQL Debugger SSMS built-in feature and found that Devart company rolled out a new T-SQL Debugger feature to version 6.4 of SQL – Complete tool. SQL Complete is an add-in for Visual Studio and SSMS that offers scripts autocompletion capabilities, which help develop and debug your SQL database project.
The SQL Debugger feature of SQL Complete allows you to check the execution of your scripts, procedures, functions, and triggers step by step by adding breakpoints to the lines where you plan to start, suspend, evaluate, step through, and then to continue the execution of your script.
You can download SQL Complete from the dbForge Download page and install it on your machine using a straight-forward installation wizard. The wizard will ask you to specify the installation path for the SQL Complete tool and the versions of SSMS and Visual Studio that you plan to install the SQL Complete on, as an add-in, from the versions that are installed on your machine, as shown below:
Once SQL Complete is fully installed on your machine, the dbForge SQL Complete installation wizard will notify you of whether the installation was completed successfully or the wizard faced any specific issue that you can troubleshoot and fix easily. If there are no issues, the wizard will provide you with an option to open the SSMS tool and start using the SQL Complete tool, as displayed below:
When you open SSMS, you will see a new “Debug” tools menu, under which you can navigate the SQL Debugger feature options. Besides, you will see a list of icons that will be used to control the debug mode of the T-SQL query at the leftmost side of the SSMS tool. If you cannot see the list, you can go to View -> Toolbars -> Debugger to make these icons visible.
During the debugging session, the SQL Debugger icons will be as follows:
The functionality of these icons within the SQL Debugger can be summarized as:
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