factorgaq.blogg.se - Mysql dbvisualizer

Connect to the embedded H2 database using the H2 consoleĪlternatively you can connect using the browser based H2 console. The easiest way to access the console is to double click the H2 database jar file at \confluence\WEB-INF\lib\h2-x.x.x.jar. Refer to the DBVisualizer documentation for help using DBVisualizer.

Database password: leave this field blank.

Choose Create new database connection and follow the prompts to set up the connection.

You can use any administration tool that supports embedded H2 databases. If you need to make changes directly in the database, and you're using the H2 database, here's how you can connect to it using DBVisualizer.ĭBVisualizer is just one database administration tool. Connect to the embedded H2 database using DB Visualizer The embedded database files are stored in your Confluence home directory /database. To find out if you are still using the embedded database, go to > General Configuration > Troubleshooting and support tools.

The embedded H2 database is only supported for testing and app development purposes on non-clustered (single node) Confluence Data Center installations. Confluence Home and other important directories.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. Looking at your stack ( ), it seems you are using Azure SQL Databases.