- #Visual studio community 2017 mac database connection install#
- #Visual studio community 2017 mac database connection zip file#
- #Visual studio community 2017 mac database connection code#
- #Visual studio community 2017 mac database connection password#
Interact with your application in the ways you’re interested in investigating, then when you’re ready to examine the data, click “Stop Collection” in Visual Studio.Īfter collection is stopped, Visual Studio will quickly process the data collected and display a table of the queries that happened during your profiling session along with a graph that shows when and how many queries happen over time. Then click start to launch and begin profiling your application. For a more accurate profile, run your application in Release configuration instead of Debug. To do so we’ll simply open the Performance Profiler in Visual Studio by clicking Debug > Performance Profiler or using the keyboard shortcut Alt + F2 and selecting t he checkbox next to “Database” to enable the tool.
Using the Database tool we can capture the exact database activity that happens during any user action and investigate further. After following the directions on the GitHub project page to build and launch the site, take a few moments to click around, filter the catalog and fill your shopping cart with a few items.Įven using the browser’s developer tools there is no way to identify exactly when a database query is happening or if it might be causing a delay during an action like filtering the catalog as seen in the screenshot above. NET Core and uses a SQL database with Entity Framework. Imagine for example you have an online store such as the excellent ASP.NET Core example eShopOnWeb, this is a great sample application that exercises a lot of the features of.
#Visual studio community 2017 mac database connection code#
You can see exactly what helpful information about what database activities happen during the execution of your application, such as which queries and transactions are the longest running, which connection string each query is using and perhaps most importantly, where in your code those queries are being made.įollow the simple example below to see how you can use this tool to pinpoint places in your code that interact with your database and could potentially be improved for meaningful performance gains for your users. In order to make this process less cumbersome and complicated, we’ve developed the Database tool found within the Performance Profiler in Visual Studio to help you gain deep insight into the database tier of your application. However, a quick internet search reveals just how challenging it can be to investigate those issues, most solutions require installing a separate tool, gathering huge SQL traces, or changing your application’s code to get the information you need. When it comes to diagnosing the performance of web application, one thing we’ve heard in dozens of conversations with developers, is that the database tier of an application is usually a prime suspect for what is causing sluggishness within an application. Note that the server string consists of the localhost IP address, then comma, then port number.Have you ever been tasked with diagnosing a slow performing web application and suspected the database was to blame? Looking into your database tier requires specific tools, now you can quickly and easily investigate using the database profiling tool in Visual Studio’s Performance Explorer! Connect to SQL Server from SQL-OPERATIONS-STUDIO:Ĭlick on New Connection, and enter the details as below.
#Visual studio community 2017 mac database connection zip file#
Go to and download the ZIP file for macOS. You can check that the container exists by issuing the following command: $ docker ps
#Visual studio community 2017 mac database connection password#
(Replace Username with your own username and YourStrongPassword with your own password of at least 8 characters).
#Visual studio community 2017 mac database connection install#
Type the following command into the bash terminal to install SQL Server for Linux as a Docker container: docker run / - name sql - server - linux / - volume /Users/Username/Desktop/DockerShared:/HostShared / - env 'ACCEPT_EULA=Y' / - env 'MSSQL_SA_PASSWORD=YourStrongPassword' / - publish 1401:1433 / - detach microsoft/mssql - server - linux:2017 - latest
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