This package is a part of the GoodData.UI SDK. To learn more, check the source monorepo.

This package contains test support and mock implementations of various concepts in the Analytical Backend.

This implementation of Analytical Backend SPI focuses on the execution branch of the SPI; it creates and sets up Prepared Execution just like any other implementation would. When the prepared execution is started (execute()) it either (based on configuration):

• Returns an empty result which only contains execution definition and has the result dimensions empty. Reading any data views from this result will return empty data views.

• Returns an empty result which only contains execution definition and has the result dimensions empty. Reading any data views from this result will yield NoDataError

  (Note: this is closer to how real backend implementations behave)

Purpose:

• use in unit tests which need to verify whether the execution is prepared correctly for instance functions which transform props => prepared execution

• use in unit tests which need to verify whether code works correctly with execution definition stored in result / data view / data view facade

• use in component-level 'smoke tests' (e.g. something renders or happens, we don't care about the details)

This implementation of Analytical Backend SPI for serves results recorded on the disk. It is called legacy, because it works with recordings that were created pre-8.0, using an unknown method and are tightly coupled with Execute AFM types themselves.

This legacy implementation was essential during the initial refactoring of the SDK to quickly get the existing tests green. However, it should not be used in any new tests and should not be enhanced any further.

Instead, our efforts need to be focused on enhancing the non-legacy recorded backend and having all tests (eventually also old tests) run against the reference workspace.

This implementation of Analytical Backend SPI allows merging multiple analytical backend instances into one. Each component declares what for what workspace it has the data and the composite delegates all requests for that workspace into the respective component.

(C) 2017-2022 GoodData Corporation

This project is under MIT License. See LICENSE.