Mockaroo allows you to quickly and easily to download large amounts of randomly generated test data based on your own specs which you can then load directly into your test environment using SQL or CSV formats. But not everyone is a programmer or has time to learn a new framework. There are plenty of great data mocking libraries available for almost every language and platform. Testing with realistic data will make your app more robust because you'll catch errors that are likely to occur in production before release day. Real data is varied and will contain characters that may not play nice with your code, such as apostrophes, or unicode characters from other languages. When you demonstrate new features to others, they'll understand them faster. When your test database is filled with realistic looking data, you'll be more engaged as a tester. Worse, the data you enter will be biased towards your own usage patterns and won't match real-world usage, leaving important bugs undiscovered. If you're hand-entering data into a test environment one record at a time using the UI, you're never going to build up the volume and variety of data that your app will accumulate in a few days in production. In production, you'll have an army of users banging away at your app and filling your database with data, which puts stress on your code. If you're developing an application, you'll want to make sure you're testing it under conditions that closely simulate a production environment. Paralellize UI and API development and start delivering better applications faster today! Why is test data important? With Mockaroo, you can design your own mock APIs, You control the URLs, responses, and error conditions. By making real requests, you'll uncover problems with application flow, timing, and API design early, improving the quality of both the user experience and API. It's hard to put together a meaningful UI prototype without making real requests to an API. Then you can create a new Data Source, and set the properties to host = localhost, user = my_test_db_user, and password = keyboard_cat.Mock your back-end API and start coding your UI today. Grant all privileges on my_test_db to my_test_db_user Similarly, to create a new user for this data base, create a new sql file "create_my_test_db_user.sql" create user my_test_db_user with encrypted password 'keyboard_cat' DataGrip has a drop-down menu in the upper-right corner above your file menu, so make sure you have selected since this is the user Data Source that has privileges to create a new database. When you want to execute this code, make sure that you are using the correct "console". I like to keep track of all the commands I have run by attaching a new directory (File Menu | Attach Directory) and creating new files with descriptive names, such as "create_my_test_db.sql" and enter the sql to create the database: create database my_test_db The tricky part of creating a new database, is that you have to do it using a DataGrip "Data Source" where are are connected as a user that has the priviledge to create a database, which is generally the "admin" user that you added when you first installed Postgres which is connected to the main "postgres" database.
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