Application developers may want to test their code with simulated responses, including errors, from an object of type SchemaServiceClient. To do so, construct an object of type SchemaServiceClient 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 document outlines the `MockSchemaServiceConnection` class, which is designed to facilitate testing of applications interacting with the `SchemaServiceClient` by simulating responses and behaviors."],["The mock class utilizes gMock's `MOCK_METHOD()` to implement virtual functions, allowing developers to program specific behaviors for testing purposes, such as `options()`, `CreateSchema()`, `GetSchema()`, `ListSchemas()`, and more."],["The provided document includes links to documentation on how to implement gMock, as well as a concrete example on how to use the `MockSchemaServiceConnection` class, showcasing the usage with the `BigQuery` library."],["Multiple versions of this class are available, from `2.11.0` up to `2.37.0-rc`, allowing for compatibility with different library versions."],["The mock functions simulate various schema operations, such as creating, getting, listing, committing, rolling back, deleting schemas and revisions, as well as validating schemas and messages, each using their respective request parameters and returning appropriate responses."]]],[]]
