![]() Email (gender, with surname, numeric suffix) *.Text (template, min length, max length).Advanced (min, max, precision, scale) *.The following are mock data generators for data types with their configurable parameters: ![]() Automatically associates a column with a generator based on the column characteristics.Supports over 20 configurable data generators (constants, randoms, sequences, names, domains, addresses, prices, regex based, etc.).Constraints (PK, FK, multi-column FK, unique) are supported.Generated data matches the database column types.Generates data that matches your database schema:.Works for all the RDBMS that are supported by DBeaver (DB2, MS SQL Server, MySQL, Oracle, PostgreSQL, SQLite, etc.).Th following are features of the DBeaver Mock Data generator: Please make sure you have a backup of your database before running the Mock Data generation process. DBeaver Mock Data generator helps you generate test data much easier.ĭisclaimer: The idea behind Mock Data is to generate mock data in a table but it should NOT TO BE USED IN PRODUCTION ENVIRONMENTS. ![]() It can be very complicated when you need to generate not just 5–10 users, but thousands of entities of different types. Populating a database manually is a time-consuming and exhausting process. Sometimes in software development we need to generate mock, but valid, data for testing. Note: since version 6.2 MockData generator extension is available only in Enterprise, Ultimate, and Team editions.
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