![]() ![]() P圜harm uses data extractors to export data in various formats to a file or the clipboard. In the Database tool window ( View | Tool Windows | Database), right-click a database object and select SQL Scripts | Generate DDL to Query Console. Generate a DDL definition to the query console In the SQL Generator tool window, click the File Output Options icon ( ).įrom the Layout list, select a method that you want to use:įile per object by schema: generates a set of SQL files sorted in folders by schemas.įile per object by schema and database: generates a set of SQL files sorted in folders by schemas and databases.įile per object: generates a set of SQL files.įile per object with order: generates a numbered set of SQL files.įile per object by schema and type: generates a set of SQL files sorted in folders by schemas and types. In the Database tool window ( View | Tool Windows | Database), right-click a database object (for example, a table) and select SQL Scripts | SQL Generator Command Alt G. Change output settings of the SQL Generator In MySQL and MariaDB, select Skip DEFINER clause to skip this clause when you generate DDL for a procedure or a function. The DEFINER clause specifies the security context (access privileges) for the routine execution. On the right toolbar, you can find the following controls: In the Database tool window ( View | Tool Windows | Database), right-click a database object and select SQL Scripts | SQL Generator… Command Alt G. Generate DDL definitions for database objects In P圜harm, you can generate data definition structures by using shortcuts with predefined settings or by using the SQL Generator and customize the export settings. Export object structuresĭata definition language (DDL) defines the structure of a database, including rows, columns, tables, indexes, and other elements. For more information, see Create a full data dump for MySQL and PostgreSQL. The full data dump includes structures of all database objects and data of these objects in a single file. The full data dump is available for PostgreSQL and MySQL with the help of mysqldump and pg_dump. It means that you can export a structure of a table or a view and then export data from these objects. In P圜harm, you export object structures and data separately. You can select a predefined data extractor or create your own. Also, you can export data in TXT, CSV, JSON, XML, Markdown, Excel, and other formats. These methods include usage of various generators, data extractors, and shortcuts. So it needs browser to be still opened to obtain its cookies.You can use a variety of methods to export data and object structures from your databases. The order of helpers is important! ApiDataFactory will clean up created users after a test, The same can be done with GraphQLDataFactory. However, you can replace WebDriver with any helper you use. In this case we are accessing WebDriver helper. Let postData = null Scenario ( 'check post page', async ( If you need some authorization you can optionally set default headers too. It is recommended to set endpoint, a base URL for all API requests. However, it doesn't provide tools for testing APIs, so it should be paired with Playwright or WebDriver helper for browser testing.Įnable REST helper in the config. ![]() This is a tool to make shortcuts and create your data pragmatically via API. REST helper (opens new window) allows sending raw HTTP requests to application. CodeceptJS provides 4 helpers for Data Management via REST and GraphQL API. So it is a good idea to use it to create data for a test and delete it after.ĪPI is supposed to be a stable interface and it can be used by acceptance tests. Today all modern web applications have REST or GraphQL API. However, accessing database directly is not a good idea as database vendor, schema and data are used by application internally and are out of scope of acceptance test. The most efficient way would be to allow test to control its data, i.e. create unique non-intersecting data sets per each test.reset database completely between tests.There are different approaches to solve it: How isolate data between tests, how to prepare data for different tests, etc. Managing data for tests is always a tricky issue. If you are looking for using Data Sets in tests, see Data Driven Tests (opens new window) section* ![]() This chapter describes data management for external sources. ![]()
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