Application developers may want to test their code with simulated responses, including errors, from an object of type PipelineServiceClient. To do so, construct an object of type PipelineServiceClient 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 provides documentation for the `MockPipelineServiceConnection` class, which is designed for testing applications that interact with the `PipelineServiceClient` by simulating responses."],["The `MockPipelineServiceConnection` class uses `gMock` for implementing its functions, allowing developers to program mock behaviors and simulate errors in their tests."],["The documentation covers multiple versions of the library, from the latest release candidate 2.37.0-rc down to version 2.12.0, each with its corresponding documentation link for the `MockPipelineServiceConnection` class."],["The primary functions of the `MockPipelineServiceConnection` class include `options()`, `RunPipeline()`, and `GetOperation()`, each implemented using `gMock`'s `MOCK_METHOD()` for test flexibility."],["An example is provided that links to documentation demonstrating how to apply the same testing strategies with the Google Test framework, even though the example uses the BigQuery library."]]],[]]
