Application developers may want to test their code with simulated responses, including errors, from an object of type DataprocMetastoreClient. To do so, construct an object of type DataprocMetastoreClient 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 page provides documentation for the `MockDataprocMetastoreConnection` class, which is designed to mock the `DataprocMetastoreConnection` and is intended for testing applications with simulated responses."],["The documentation covers a variety of versions, ranging from the latest release candidate [2.37.0-rc] to version 2.13.0, allowing developers to reference specific releases."],["The class is constructed as an instance of the `DataprocMetastoreClient` and utilizes the Google Test framework to simulate error handling and responses, as an alternative to the client library."],["The `MockDataprocMetastoreConnection` class supports several functions for managing metastore services and metadata, such as listing, getting, creating, updating, and deleting services and metadata imports."],["Each function within the `MockDataprocMetastoreConnection` is implemented using gMock's `MOCK_METHOD()` functionality, which allows for flexible and customized testing scenarios."]]],[]]
