![]() Of comparing your current work (database code) against the previously done work when developing or refactoringĪnother way of understanding this extension is to understand the need to know the difference between the database This add-on (extension) helps you to compare schemas (structures) between your database project and the target database although it can compare schema between the two databases as well.įor those who are less familiar with it, I suggest to please consider this extension as a check and balance method If the Extensions page is still open then please look for “SQL Server Schema” this time and install it just like the way you installed the previous add-on (extension).Ī successful installation of the extension is shown as follows: There is just one more extension to go which is highly recommended if not mandatory.Īdding SQL Server Schema Compare Extension Once you get the add-on (extension) the job of creating database projects is going to be a piece of cake except if you end up doing something silly which can happen with anyone even the most talented developers do silly mistakes.Īnother way to understand this add-on is to visualize that you have just turned your Azure Data Studio into a SQLĭatabase Project development machine (tool). Please open Azure Data Studio and click on Extensions from the left navigation bar (or use the shortcut keyĬTRL+SHIFT+X) and look for “SQL Database Projects”.Ĭlick Install once you have selected the desired option:Īfter a couple of minutes or a little less than that the extension is going to be installed and ready to be used. Let us now go through the steps to add these extensions. The two must-have extensions to build database projects are as follows: The first thing in this regard is to equip Azure Data Studio (after it is installed) with the capability of creatingĭatabase Projects and this is done by adding the required add-ons. Interested to use Azure Data Studio using declarative database development.Īs with any other tool we need to first ensure that it is capable of serving the purpose and in our case, the purpose is to successfully build database projects. ![]() This article is also an in-time call for all those database or business intelligence developers or enthusiasts Trying to do capacity planning for a migration to Azure Cosmos DB? You can use information about your existing database cluster for capacity planning.This article talks about the two standard ways of building SQL Database Projects in Azure Data Studio along with the simple steps of implementation. ![]() Interested in importing MongoDB data into Azure Cosmos DB? See Migrate MongoDB to Azure Cosmos DB's API for MongoDB.Learn about the extension available for Azure Cosmos DB API for MongoDB.You can now use Azure Data Studio to review real data in your database. In this quickstart, you've learned how to create an API for MongoDB account, create a database and a collection in Azure Data Studio, and query sample data. Observe the output of the query within the shell. To learn more, see the official MongoDB documentation for cursor.pretty. The pretty() method in Mongo displays the results of a query in a format that's easy to read. ![]() Enter the connection string for authentication.Įnter any unique name to use in the SERVERS sidebar. Only visible if using Basic authentication. Select the Azure AD account that you wish to use for authentication. ![]() Only visible if using Azure Active Directory authentication. Set this value to Mongo account to use with Azure Cosmos DB API for MongoDB.Īzure Active Directory - Universal with MFA supportĬhoose between Azure Active Directory or Basic authentication options. Once you're signed in to Azure, select the Azure Cosmos DB account you'd like to access or fill in the Connection Details from fields using the details in this table. In the dialog that appears, select Browse, and then select the + icon to sign in to Azure. If the Connection dialog doesn't open, select the New Connection icon in the SERVERS page: The first time you start Azure Data Studio the Connection dialog opens. Create an Azure Cosmos DB API for MongoDB account.Ĭonnect to an Azure Cosmos DB API for MongoDB account.Install the Azure Cosmos DB API for MongoDB extension for Azure Data Studio.To complete this quickstart, you need Azure Data Studio and an Azure Cosmos DB API account. This quickstart shows how to use Azure Data Studio to connect to the Azure Cosmos DB API for MongoDB. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |