![]() ![]() Of course, using tools like that in some capacity probably also immensely useful for discovering larger and older DB structures and just exploring the schema rather than just writing a bunch of SELECT/DESCRIBE/. The migrations might (should?) still be applied by a tool of some sort and could be versioned, but being able to draw a bunch of boxes around and getting all of the DDL that you need to get 90% of the way there is pretty great! Curiously, this also lets you tackle the laziness of the developers: "But i don't want to create 5 different tables for these types of objects that are different but also seem vaguely similar at the present time, i might just do with one wide table with lots of columns because i'm lazy and data normalization be damned!" adding a new table to an existing schema through the ER diagram) which was just surprisingly useful! Not only that, but there was also the ability to synchronize schemas, with the tool essentially diffing what is there and what needs to be changed, so partial changes also become doable (e.g. But not just that, you could also forward engineer this ER diagram of yours to get SQL that you could apply to a live instance, or vice versa - to create an ER diagram of an existing DB instance. You could design your entire schema as an ER diagram, thus being able to play around with how everything could be laid out extremely easily and also get a visual "feel" for that it'd end up being like and how your queries could work. To expand upon the argument of leaning into GUI tools for stuff like this, or to offer my own opinions, i really liked the functionality of MySQL Workbench. Don't feel pressured, do what works for you. These are not fundamentally complex or magic (there will be times you wonder at the stupidity of the query plan), there are books on this and lots of articles out there.įor small dbs, no problem, but as they grow not understanding the optimiser will kill you.Īnyway, my experience. You need to understand what the query optimiser does and how to give it the info it needs (indexes, clustered indexes, stats, whatever), which the wizard will not help you understand. If you know what you are doing you 99% don't need it (I've got a couple of useful tips off it, ever, that's all). The index wizard is likewise de-skilling. ![]() There's a small hump to get over to learn to write SQL queries, it's worth getting over (IMO) (there are times when I'd like to take a large existing multi-way join and see a pic of it though). Visual query builders are a deskilling device. ![]() ![]() If you're using SQL on small DBs you can probably get away with what you do, for large DBs that won't fly. This is just IMO and it depends on your needs, but these fit mine. The Analyze Graph action group lets you analyze the graph in various ways such as perform auto clusterization, measure the node centrality, search cycles, filter path between two nodes, and so on.DB dev here with > 2 decades experience. Right-click a diagram and select Export Diagram | Export to Image. To open the saved diagram, drag the UML file to the editor. Right-click a diagram and navigate to Export Diagram | Export to File | IDEA. This UML format is an internal format supported only by DataGrip. In the Database Explorer ( View | Tool Windows | Database Explorer), right-click an object and select Tools | Set Color…. For more information about generating a diagram, see Generate a diagram for a database object. In the Database Explorer ( View | Tool Windows | Database Explorer), right-click a database object and select Diagrams | Show Diagram. Use the mouse wheel to extra zoom the diagram area within magnifier tool. To use the magnifier tool, keep the Alt key pressed, and hover your mouse pointer over the desired areas of the diagram. You can also use Shift + mouse wheel for zooming. To pan and zoom the diagram, use your touchpad, scroll bars or the mouse wheel for vertical scrolling and Shift + mouse wheel for horizontal scrolling. For more information about creating an execution plan, refer to Visualize a query plan. Execution plan is a set of steps that were used to access data in a database. If you want to share the created diagram, consider using PNG.Īlso, you can build execution plans. The UML format is an internal format developed specifically for DataGrip. You can save the generated diagrams in two formats: UML and PNG. ![]()
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