Application developers may want to test their code with simulated responses, including errors, from an object of type DataFusionClient. To do so, construct an object of type DataFusionClient with an instance of this class. Then use the Google Test framework functions to program the behavior of this mock.
See Also
This example for how to test your application with GoogleTest. While the example showcases types from the BigQuery library, the underlying principles apply for any pair of *Client and *Connection.
Functions
virtual options()
This function is implemented using gMock's MOCK_METHOD().
Consult the gMock documentation to use this mock in your tests.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-07-26 UTC."],[[["This webpage provides documentation for the `MockDataFusionConnection` class, which is designed to simulate responses for testing applications that use `DataFusionClient`."],["The `MockDataFusionConnection` class can be utilized in tests to simulate responses, including errors, from a `DataFusionClient`, and can be programmed with the behavior needed using the Google Test framework."],["The page lists various available versions of the DataFusion library, ranging from the latest release candidate (2.37.0-rc) down to version 2.13.0."],["The `MockDataFusionConnection` class uses gMock's `MOCK_METHOD()` for its functions, such as `options()`, `ListAvailableVersions()`, `ListInstances()`, and many more functions for creating, deleting, updating and restarting instances."],["An example of how to use `MockDataFusionConnection` with the `DataFusionClient` is available for reference, and is based off of a similar example that is specific to BigQuery."]]],[]]