Application developers may want to test their code with simulated responses, including errors, from an object of type MetricsServiceV2Client. To do so, construct an object of type MetricsServiceV2Client 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 2025-04-17 UTC."],[[["This webpage provides documentation for the `MockMetricsServiceV2Connection` class, designed to simulate responses, including errors, for testing applications using the `MetricsServiceV2Client`."],["The latest release candidate for this service is version 2.37.0-rc, with many other versions down to 2.11.0 being available, each with a direct link to its documentation."],["The `MockMetricsServiceV2Connection` class uses gMock's `MOCK_METHOD()` to implement functions such as `options()`, `ListLogMetrics()`, `GetLogMetric()`, `CreateLogMetric()`, `UpdateLogMetric()`, and `DeleteLogMetric()`, allowing developers to mock and test these functions."],["There is a provided link to an example of how to test your application with GoogleTest, showing how the underlying principles of the `*Client` and `*Connection` can be applied."],["Each function within the class has detailed parameters, return types, and descriptions, enabling precise control over mock behavior during testing."]]],[]]
