Application developers may want to test their code with simulated responses, including errors, from an object of type DocumentServiceClient. To do so, construct an object of type DocumentServiceClient 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"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-21 UTC."],[[["This page details the `MockDocumentServiceConnection` class, which is designed to facilitate testing of applications using `DocumentServiceClient` by simulating various responses, including potential errors."],["The `MockDocumentServiceConnection` class uses gMock's `MOCK_METHOD()` to implement its functions, allowing developers to program the mock's behavior within the Google Test framework."],["The page provides a list of available versions for the `MockDocumentServiceConnection`, starting with the latest release candidate `2.37.0-rc` and descending to version `2.12.0`."],["The class offers virtual functions to mock actions such as `CreateDocument`, `GetDocument`, `UpdateDocument`, `DeleteDocument`, `SearchDocuments`, `LockDocument`, `FetchAcl`, and `SetAcl`, each with specific request and return types."],["There is a link to a relevant example on how to test applications using GoogleTest, providing guidance for those not familiar with how to use the mock, referencing the example found in the BigQuery library."]]],[]]
