-
Notifications
You must be signed in to change notification settings - Fork 10
Documentation: fix make_query() parameter name
#61
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
make_query() parameter name
|
This PR breaks backwards compatibility for databrickslabs/blueprint downstream. See build logs for more details. Running from downstreams #58 |
|
This PR breaks backwards compatibility for databrickslabs/lsql downstream. See build logs for more details. Running from downstreams #58 |
|
✅ 35/35 passed, 3 skipped, 2m20s total Running from acceptance #99 |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
lgtm
* Documentation: fix `make_query()` parameter name ([#61](#61)). The `make_query()` fixture's documentation has been updated to correct the name of the `query` parameter to `sql_query`. The `sql_query` parameter is used to specify the SQL query stored in the fixture, with the default value being "SELECT \* FROM <newly created random table>". This change aims to enhance clarity and consistency in the naming of the argument, making it easier for users of the `make_query()` fixture to comprehend its purpose and usage. By correcting the parameter name, the documentation provides a clearer and more consistent user experience. * Removed references to UCX ([#56](#56)). This release includes changes to remove references to UCX in fixture names and descriptions within the testing process. The `create` function in `catalog.py` now appends a random string to "dummy_t", "dummy_s", or `dummy_c` for table, schema, and catalog names, respectively, instead of using "ucx_t", "ucx_S", and "ucx_C". The `test_catalog_fixture` function has also been updated to replace `dummy` with `dummy_c` and `dummy_s` for catalogs and schemas. Additionally, the description of a test query in `redash.py` has been updated to remove the reference to UCX. Lastly, fixture names in the unit tests for a catalog have been updated to use `dummy` instead of "ucx". These changes improve the independence of the testing process by removing technology-specific references, without affecting functionality. * Store watchdog tags in storage credentials comment ([#57](#57)). In this release, the watchdog's behavior has been modified to retain properly tagged credentials when deleting them, as previously all credentials were removed without discrimination. This change introduces tagging for preserving specific credentials, and the `watchdog_remove_after` fixture has been added to the README file for documentation. The `make_storage_credential` fixture has been updated to include a new parameter, `watchdog_remove_after`, which specifies the time at which the storage credential should be removed by the watchdog. The `create` function has been updated to accept this parameter and adds it as a comment to the storage credential. The `remove` function remains unmodified. The related fixtures section has been updated to include the new `watchdog_remove_after` fixture. This change was co-authored by Eric Vergnaud, but please note that it has not been tested yet. * [FEATURE] Extend `make_job` to run `SparkPythonTask` ([#60](#60)). The `make_job` fixture has been extended to support running `SparkPythonTask` in addition to notebook tasks. A new `make_workspace_file` fixture has been added to create and manage Python files in the workspace. The `make_job` fixture now supports SQL notebooks and files and includes a `task_type` parameter to specify the type of task to run and an `instance_pool_id` parameter to reuse an instance pool for faster job execution during integration tests. Additionally, unit and integration tests have been added to ensure the proper functioning of the new and modified fixtures. These changes allow for more flexible and efficient testing of Databricks jobs with different task types and configurations. The `make_notebook` fixture has also been updated to accept a `content` parameter for creating notebooks with custom content. The `Language` enum from the `databricks.sdk.service.workspace` module is used to specify the language of a notebook or workspace file.
* Documentation: fix `make_query()` parameter name ([#61](#61)). The `make_query()` fixture's documentation has been updated to correct the name of the `query` parameter to `sql_query`. The `sql_query` parameter is used to specify the SQL query stored in the fixture, with the default value being "SELECT \* FROM <newly created random table>". This change aims to enhance clarity and consistency in the naming of the argument, making it easier for users of the `make_query()` fixture to comprehend its purpose and usage. By correcting the parameter name, the documentation provides a clearer and more consistent user experience. * Removed references to UCX ([#56](#56)). This release includes changes to remove references to UCX in fixture names and descriptions within the testing process. The `create` function in `catalog.py` now appends a random string to "dummy_t", "dummy_s", or `dummy_c` for table, schema, and catalog names, respectively, instead of using "ucx_t", "ucx_S", and "ucx_C". The `test_catalog_fixture` function has also been updated to replace `dummy` with `dummy_c` and `dummy_s` for catalogs and schemas. Additionally, the description of a test query in `redash.py` has been updated to remove the reference to UCX. Lastly, fixture names in the unit tests for a catalog have been updated to use `dummy` instead of "ucx". These changes improve the independence of the testing process by removing technology-specific references, without affecting functionality. * Store watchdog tags in storage credentials comment ([#57](#57)). In this release, the watchdog's behavior has been modified to retain properly tagged credentials when deleting them, as previously all credentials were removed without discrimination. This change introduces tagging for preserving specific credentials, and the `watchdog_remove_after` fixture has been added to the README file for documentation. The `make_storage_credential` fixture has been updated to include a new parameter, `watchdog_remove_after`, which specifies the time at which the storage credential should be removed by the watchdog. The `create` function has been updated to accept this parameter and adds it as a comment to the storage credential. The `remove` function remains unmodified. The related fixtures section has been updated to include the new `watchdog_remove_after` fixture. This change was co-authored by Eric Vergnaud, but please note that it has not been tested yet. * [FEATURE] Extend `make_job` to run `SparkPythonTask` ([#60](#60)). The `make_job` fixture has been extended to support running `SparkPythonTask` in addition to notebook tasks. A new `make_workspace_file` fixture has been added to create and manage Python files in the workspace. The `make_job` fixture now supports SQL notebooks and files and includes a `task_type` parameter to specify the type of task to run and an `instance_pool_id` parameter to reuse an instance pool for faster job execution during integration tests. Additionally, unit and integration tests have been added to ensure the proper functioning of the new and modified fixtures. These changes allow for more flexible and efficient testing of Databricks jobs with different task types and configurations. The `make_notebook` fixture has also been updated to accept a `content` parameter for creating notebooks with custom content. The `Language` enum from the `databricks.sdk.service.workspace` module is used to specify the language of a notebook or workspace file.
Changes
This PR fixes the documentation for the
make_query()fixture: the argument name was incorrect.