It’s also accessible using Cmd + F shortcut key. In the above screenshot, you can also see how I used the Filters button to narrow down the data to those rows that contains the word “rock”. To apply your changes, click the Apply Commands button, shown with a red rectangle below: The highlighted elements are those that have been updated but not yet committed. The same color will be applied to the database items list. Modifying the contents of a cell will show its edited state by changing the background color. Pressing the Option button while clicking a cell will put it in Edit mode. a cog icon for setting the record paging Limit and Offset propertiesĬlicking a table row will highlight it and populate the searchable Fields pane to the right of the row details.arrow buttons to navigate through the result set.a button to select which Columns to display.a toggle button for switching between table Data and Structure.a plus sign (+) for adding a new table row.A Quick OverviewĪt the bottom of the application window, there are a number of controls for performing different operations.ĭirectly beneath the database Items, there is a plus sign (+) for adding a new table as well as a list for navigating between databases. It supports a whole set of relational databases including PostgreSQL, MySQL, RedShift, SQL Server, MariaDB, Redis, and SQLite, with support for Oracle and CockroachDB coming soon. In today’s article, we’ll explore a recent addition named TablePlus. While most apps focus on a specific database product, a few have gone the extra mile in supporting numerous database platforms. Although just about all cloud DBaaS platforms offer their own web consoles and tools for managing your databases, many DBAs prefer to rely on the familiarity and superior performance of native applications. Since the emergence of cloud database services like Amazon Aurora, Google Cloud SQL, and Oracle Database Cloud Service, this arrangement is all but obsolete. There was a time not so long ago that Database Administrators (DBAs) worked with database servers that were running on their company’s infrastructure, perhaps even nearby on the same floor.
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