Application developers may want to test their code with simulated responses, including errors, from an object of type MetricServiceClient. To do so, construct an object of type MetricServiceClient 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 2025-05-07 UTC."],[[["This webpage details the `MockMetricServiceConnection` class, which is designed to facilitate testing of applications using `MetricServiceClient` by simulating responses and errors."],["The class utilizes the gMock framework's `MOCK_METHOD()` to implement its functions, allowing users to program the mock's behavior within their tests using gMock documentation."],["The `MockMetricServiceConnection` class covers a wide range of functionalities, including managing monitored resource descriptors, metric descriptors, and time series data, with both synchronous and asynchronous operations."],["The latest version of this documentation is version 2.37.0-rc and this page provides links to previous versions, down to version 2.11.0, allowing developers to access documentation relevant to their specific version."],["The `MockMetricServiceConnection` class provides a `options()` method as well as various virtual functions that can be used for different types of monitoring and metric requests that are outlined in the documentation, along with their parameter type, and return type."]]],[]]
