![]() Either double-click the JAR file or execute the jar file from the command-line.įill in the connection properties and copy the connection string to the clipboard. Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.įor assistance in constructing the JDBC URL, use the connection string designer built into the SQL Server JDBC Driver.User: The name of the user authenticating to Azure.You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name." You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties: Database: The name of the SQL Server database.Ĭonnecting to Azure SQL Server and Azure Data Warehouse.Password: The password associated with the authenticating user.User: The username provided for authentication with SQL Server.Server: The name of the server running SQL Server.Connecting to Microsoft SQL ServerĬonnect to Microsoft SQL Server using the following properties: URL: Enter the JDBC URL, which starts with jdbc:sql: and is followed by a semicolon-separated list of connection properties. Driver: Enter the Driver's class name,.Driver Location: Click the Browse button and select the file, located in the lib subfolder of the installation directory.Name: Enter a name for the data source for example, SQL Server.Enter the following JDBC connection properties:.In the Register Server form, select the 'Generic - JDBC' connection.In Aqua Data Studio, select Register Server from the Servers menu.The SQL Server data source can then be accessed from Aqua Data Studio tools. The visual analytic features allow users to browse and. You can use the connection manager to define connection properties and save them in a new JDBC data source. Aqua Data Studio is a database query tool that provides management and administrative capabilities. This article shows how to connect to SQL Server data through the connection manager and execute queries. It might be worth giving it a try.The CData JDBC Driver for SQL Server integrates SQL Server data with wizards and analytics in IDEs like Aqua Data Studio. Alternatively, other clients exist, such as "Table Plus" and allow you to connect, on Mac, to a variety of database servers, including SQL Server. Decision making-wise, how much do your want your local sql/mysql client to influence/weigh in your architecture/technology decisions, though? This can be a slippery slope. I have been running it at various companies (under AWS/RDS and AWS/Aurora) and have no reason to switch over to anything else. That said, could Azure MySQL ( ) be an option for you a this point? MySQL offers great performance. ![]() You'd only be looking at MySQL Query Workbench, if you were running and connecting to a MySQL Database. Therefore, it certainly makes sense you stick with some of the official Microsoft Tooling to connect to it, query and administer it. Detailed documentation is provided for each. ![]() Looking at your stack ( ), it seems you are using Azure SQL Databases. Using the Tools available in Aqua Data Studio 20.0 - Once you have connected to a server, use all the different tools available to automate your most complex tasks, including Query Analyzer, Query Builder, Visual Analytics, Debuggers, Editors, ER Modeler and Version Control. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |