Release v0.14.1

* Changes to work with Databricks SDK `v0.38.0` ([#350](#350)). In this release, the open-source library has been updated to be compatible with Databricks SDK version 0.38.0, addressing issues [#349](#349) to [#332](#332). The changes include modifying the `create_dashboard` function, which now directly passes the `SDKDashboard` instance to the `ws.lakeview.create` and `ws.lakeview.update` methods, eliminating the need for dictionary conversions. A new SQL query, `NYC_TAXI_TRIPS_LIMITED`, has been introduced, and the `test_sql_execution` method has been updated to use this query. The `test_sql_execution_partial` and `test_sql_execution_as_iterator` methods have been removed, and the `test_fetch_one_works` method now includes an assertion to verify the returned row's `pickup_zip` value. These updates improve the library's compatibility with the latest Databricks SDK, refactor SQL query-based tests, and enhance test reliability.
* Specify the minimum required version of `databricks-sdk` as 0.37.0 ([#331](#331)). In this release, we have updated the minimum required version of the `databricks-sdk` package to 0.37.0, as specified in the project's `pyproject.toml` file. This update is necessary due to the modifications made in pull request [#320](#320), which constrains the `databricks-sdk` version to 0.37.x for compatible updates within the same minor version. This change also resolves issue [#330](#330). It is important to note that no new methods have been added or existing functionality changed in the codebase as part of this commit. Therefore, the impact on the existing functionality should be minimal and confined to the interaction with the `databricks-sdk` package.

CHANGELOG.md

@@ -1,5 +1,11 @@
 # Version changelog
 
+## 0.14.1
+
+* Changes to work with Databricks SDK `v0.38.0` ([#350](https://github.com/databrickslabs/lsql/issues/350)). In this release, the open-source library has been updated to be compatible with Databricks SDK version 0.38.0, addressing issues [#349](https://github.com/databrickslabs/lsql/issues/349) to [#332](https://github.com/databrickslabs/lsql/issues/332). The changes include modifying the `create_dashboard` function, which now directly passes the `SDKDashboard` instance to the `ws.lakeview.create` and `ws.lakeview.update` methods, eliminating the need for dictionary conversions. A new SQL query, `NYC_TAXI_TRIPS_LIMITED`, has been introduced, and the `test_sql_execution` method has been updated to use this query. The `test_sql_execution_partial` and `test_sql_execution_as_iterator` methods have been removed, and the `test_fetch_one_works` method now includes an assertion to verify the returned row's `pickup_zip` value. These updates improve the library's compatibility with the latest Databricks SDK, refactor SQL query-based tests, and enhance test reliability.
+* Specify the minimum required version of `databricks-sdk` as 0.37.0 ([#331](https://github.com/databrickslabs/lsql/issues/331)). In this release, we have updated the minimum required version of the `databricks-sdk` package to 0.37.0, as specified in the project's `pyproject.toml` file. This update is necessary due to the modifications made in pull request [#320](https://github.com/databrickslabs/lsql/issues/320), which constrains the `databricks-sdk` version to 0.37.x for compatible updates within the same minor version. This change also resolves issue [#330](https://github.com/databrickslabs/lsql/issues/330). It is important to note that no new methods have been added or existing functionality changed in the codebase as part of this commit. Therefore, the impact on the existing functionality should be minimal and confined to the interaction with the `databricks-sdk` package.
+
+
 ## 0.14.0
 
 * Added nightly tests run at 4:45am UTC ([#318](https://github.com/databrickslabs/lsql/issues/318)). A new nightly workflow has been added to the codebase, designed to automate a series of jobs every day at 4:45am UTC on the `larger` environment. The workflow includes permissions for writing id-tokens, accessing issues, reading contents and pull-requests. It checks out the code with a full fetch-depth, installs Python 3.10, and uses hatch 1.9.4. The key step in this workflow is the execution of nightly tests using the databrickslabs/sandbox/acceptance action, which creates issues if necessary. The workflow utilizes several secrets, including VAULT_URI, GITHUB_TOKEN, ARM_CLIENT_ID, and ARM_TENANT_ID, and sets the TEST_NIGHTLY environment variable to true. Additionally, the workflow is part of a concurrency group called "single-acceptance-job-per-repo", ensuring that only one acceptance job runs at a time per repository.

src/databricks/labs/lsql/__about__.py

@@ -1 +1 @@
-__version__ = "0.14.0"
+__version__ = "0.14.1"