![]() ![]() And don't worry if you have sensitive / personal data - we'll cover that too. In the next post we'll explore how to subset your existing database for testing purposes. Synth: Synth has a small learning curve, but to create realistic testing data at scale it reduces most of the manual labour.Postgres generate_series: This method scales better than manual insertion - but if you care about the contents of your data and have foreign key constraints you'll need to write quite a bit of bespoke SQL by hand.If your needs are basic it's the path of least effort to creating a working dataset. Manual Insertion: Is ok to get you started.We explored 3 different ways to generate data. Free Resources for Generating Realistic Fake Data (1) Faker (2) Mockaroo (3) GenerateData (4) JSON Schema Faker (5) FakeStoreAPI (6) Mock Turtle Before. Mockaroo is also available as a docker image that you can deploy in your own private cloud. Need more data Plans start at just 60/year. Taking a look at the company table: contact_id Need some mock data to test your app Mockaroo lets you generate up to 1,000 rows of realistic test data in CSV, JSON, SQL, and Excel formats. A workspace is just a directory in your filesystem that tell Synth that this is where you are going to be storing configuration: The first step to use Synth is to create a workspace. To install the synth binary refer to the installation page. Mock APIs give your full control over URLs, handling request parameters, and simulating errors. Anything you can generate via the website can also be generated via the data API. Mock.js is a simulation data generator to help the front-end to develop and prototype separate from the back-end progress and reduce some monotony particularly while writing automated tests. Synth uses declarative configuration files (just JSON don't worry) to define how data should be generated. Mockaroo's Generate API is a single endpoint that you can use to generate data based on a saved schema or fields you define in the post body of the request. It has integration with Postgres, so you won't need to write any SQL. Synth is an open-source project designed to solve the problem of creating realistic testing data. We could define functions ourselves to generate names / phone numbers / emails etc, but why re-invent the wheel? Using a data generator like Synth # Generate random values for username, MAC address, IP address, SysId, and DateTime 2. text in your phone column actually being a phone number) we need to get more sophisticated. Mock Data Generator for IP Lookup Table 1. If you care about your data being semantically correct (i.e. First of all, every company has exactly 1 contact, and more importantly the actual data looks completely useless. ![]() ![]() We generated 100 companies and contacts here, the types are correct, but the output is underwhelming. ![]()
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