JetBrains/PHPStorm IDE supports multiple different Database inspectors as plugins. Open the database inspector window in PHPStorm The tunnel is now open, make a note of the connection details it displays. Otherwise the tool will ask you to select the service. ![]() If you have a simple project with only one database service, this is all that is needed to open the connection. The project should have been download using the platform get, which means that the project ID and branch will be automatically detected. Open the tunnelĬhange into your local checkout of the project. You then point your IDE or database at that port locally, and it interacts as if it was connected directly to the DB server. We use the Platform.sh CLI tool to open a tunnel to the site instance, connecting the database port on the database container to a local port on the local machine, over ssh. This can be useful to investigate issues, make direct schema changes or SQL commands, or import/export the database directly from the workspace you are most comfortable in, if the direct SQL CLI access is not sufficient. This example is done on OSX, but the equivalent tools are available on Windows and Linux. This also works with the official MySQL Workbench The JetBrains PHPStorm IDE (for this example - most IDEs with integrated database inspectors can probably be configured in the same way).An active project and branch with a MariaDB(MySQL) database.Platform.sh CLI tool working on your local environment.See also how-to-connect-mongodb-tunnel-with-robo-3t Assumptions Type "Rector" or "PHPStan" and hit enter:ĭo you learn from my contents or use open-souce packages like Rector every day?Ĭonsider supporting it on GitHub Sponsors.To directly access your hosted database(s) from your workstation IDE. Pick the directory you want to process in the file tree. Arguments: process $FilePathRelativeToProjectRoot$.Program: $ProjectFileDir$/vendor/bin/rector.How to Configure External Tool in PHPStorm? So if we work with security, we ~~only~~ mostly work in that directory. What does it mean? That our code that handles security is not all over the place in /src directory but in standalone packages/Security directory. This approach requires us to keep a decoupled structure, e.g., with to local packages or domain-driven design. You run the tool only on a selected directory in the left tree. The bigger your codebase, the more it might help you get under 3 seconds. It might trim off some more frustration in your daily work and turn you into a flow developer as a result. Last week Honza showed me PHPStorm tip that fits into instant feedback loop flow I discovered recently. It destroys their focus on the features.įrustration is always the sign we should ask this question: It takes too long to get feedback from them. When I talk with developers, this is one of the main reasons they don't use such tools. ![]() Instant flow killer :( Too Slow? Go Home! I used this approach at big codebases so far.Īnother way is to copy the directory path and run tool only on it: vendor/bin/phpstan analyse src/SomeDirectory vendor/bin/rector process src/SomeDirectory ![]() After all, it's often much faster than our local laptop. We might adapt and push it into the remote repository and let the CI server handle it. Now, we want to run Rector and PHPStan to make sure the code is clean and working. We add a new feature, change test, fix a bug, 300 added lines, 200 removed. But let's take Rector as the baseline, as that's the project we have data for. ![]() Projects I consult lately usually fit into 200-600 000 lines of code, though. Let's say we have a reasonably big codebase, like Rector, with over 70 000 lines of code.
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