Update databricks-labs-lsql requirement from ~=0.5.0 to >=0.5,<0.7 #2160
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
![dependabot[bot]](https://avatars.githubusercontent.com/in/29110?s=60&v=4){kind=small}
Updates the requirements on [databricks-labs-lsql](https://github.com/databrickslabs/lsql) to permit the latest version. - [Release notes](https://github.com/databrickslabs/lsql/releases) - [Changelog](https://github.com/databrickslabs/lsql/blob/main/CHANGELOG.md) - [Commits](databrickslabs/lsql@v0.5.0...v0.6.0) --- updated-dependencies: - dependency-name: databricks-labs-lsql dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
JCZuurmond
approved these changes
Jul 11, 2024
|
Need it for #1920 |
nfx
added a commit
that referenced
this pull request
Jul 12, 2024
* Fixed `Table Access Control is not enabled on this cluster` error ([#2167](#2167)). A fix has been implemented to address the `Table Access Control is not enabled on this cluster` error, changing it to a warning when the exception is raised. This modification involves the introduction of a new constant `CLUSTER_WITHOUT_ACL_FRAGMENT` to represent the error message and updates to the `snapshot` and `grants` methods to conditionally log a warning instead of raising an error when the exception is caught. These changes improve the robustness of the integration test by handling exceptions when many test schemas are being created and deleted quickly, without introducing any new functionality. However, the change has not been thoroughly tested. * Fixed infinite recursion when checking module of expression ([#2159](#2159)). In this release, we have addressed an infinite recursion issue ([#2159](#2159)) that occurred when checking the module of an expression. The `append_statements` method has been updated to no longer overwrite existing statements for globals when appending trees, instead extending the existing list of statements for the global with new values. This modification ensures that the accuracy of module checks is improved and prevents the infinite recursion issue. Additionally, unit tests have been added to verify the correct behavior of the changes and confirm the resolution of both the infinite recursion issue and the appending behavior. This enhancement was a collaborative effort with Eric Vergnaud. * Fixed parsing unsupported magic syntax ([#2157](#2157)). In this update, we have addressed a crashing issue that occurred when parsing unsupported magic syntax in a notebook's source code. We accomplished this by modifying the `_read_notebook_path` function in the `cells.py` file. Specifically, we changed the way the `start` variable, which marks the position of the command in a line, is obtained. Instead of using the `index()` method, we now use the `find()` method. This change resolves the crash and enhances the parser's robustness in handling various magic syntax types. The commit also includes a manual test to confirm the fix, which addresses one of the two reported issues. * Infer values from child notebook in magic line ([#2091](#2091)). This commit introduces improvements to the notebook linter for enhanced value inference during linting. By utilizing values from child notebooks loaded via the `%run` magic line, the linter can now provide more accurate suggestions and error detection. The `FileLinter` class has been updated to include a `session_state` parameter, allowing it to access variables and objects defined in child notebooks. New methods such as `append_tree()`, `append_nodes()`, and `append_globals()` have been added to the `BaseLinter` class for better code tree manipulation, enabling more accurate linting of combined code trees. Additionally, unit tests have been added to ensure the correct behavior of this feature. This change addresses issue [#1201](#1201) and progresses issue [#1901](#1901). * Updated databricks-labs-lsql requirement from ~=0.5.0 to >=0.5,<0.7 ([#2160](#2160)). In this update, the version constraint for the databricks-labs-lsql library has been updated from ~=0.5.0 to >=0.5,<0.7, allowing the project to utilize the latest features and bug fixes available in the library while maintaining compatibility with the existing codebase. This change ensures that the project can take advantage of any improvements or additions made to databricks-labs-lsql version 0.6.0 and above. For reference, the release notes for databricks-labs-lsql version 0.6.0 have been included in the commit, detailing the new features and improvements that come with the updated library. * Whitelist phonetics ([#2163](#2163)). This release introduces a whitelist for phonetics functionality in the `known.json` configuration file, allowing engineers to utilize five new phonetics methods: `phonetics`, `phonetics.metaphone`, `phonetics.nysiis`, `phonetics.soundex`, and `phonetics.utils`. These methods have been manually tested and are now available for use, contributing to issue [#2163](#2163) and progressing issue [#1901](#1901). As an adopting engineer, this addition enables you to incorporate these phonetics methods into your system's functionality, expanding the capabilities of the open-source library. * Whitelist pydantic ([#2162](#2162)). In this release, we have added the Pydantic library to the `known.json` file, which manages our project's third-party libraries. Pydantic is a data validation library for Python that allows developers to define data models and enforce type constraints, improving data consistency and correctness in the application. With this change, Pydantic and its submodules have been whitelisted and can be used in the project without being flagged as unknown libraries. This improvement enables us to utilize Pydantic's features for data validation and modeling, ensuring higher data quality and reducing the likelihood of errors in our application. * Whitelist statsmodels ([#2161](#2161)). In this change, the statsmodels library has been whitelisted for use in the project. Statsmodels is a comprehensive Python library for statistics and econometrics that offers a variety of tools for statistical modeling, testing, and visualization. With this update, the library has been added to the project's configuration file, enabling users to utilize its features without causing any conflicts. The modification does not affect the existing functionality of the project, but rather expands the range of statistical models and analysis tools available to users. Additionally, a test has been included to verify the successful integration of the library. These enhancements streamline the process of conducting statistical analysis and modeling within the project. * whitelist dbignite ([#2132](#2132)). A new commit has been made to whitelist the dbignite repository and add a set of codes and messages in the "known.json" file related to the use of RDD APIs on UC Shared Clusters and the change in the default format from Parquet to Delta in Databricks Runtime 8.0. The affected components include dbignite.fhir_mapping_model, dbignite.fhir_resource, dbignite.hosp_feeds, dbignite.hosp_feeds.adt, dbignite.omop, dbignite.omop.data_model, dbignite.omop.schemas, dbignite.omop.utils, and dbignite.readers. These changes are intended to provide information and warnings regarding the use of the specified APIs on UC Shared Clusters and the change in default format. It is important to note that no new methods have been added, and no existing functionality has been changed as part of this update. The focus of this commit is solely on the addition of the dbignite repository and its associated codes and messages. * whitelist duckdb ([#2134](#2134)). In this release, we have whitelisted the DuckDB library by adding it to the "known.json" file in the source code. DuckDB is an in-memory analytical database written in C++. This addition includes several modules such as `adbc_driver_duckdb`, `duckdb.bytes_io_wrapper`, `duckdb.experimental`, `duckdb.filesystem`, `duckdb.functional`, and `duckdb.typing`. Of particular note is the `duckdb.experimental.spark.sql.session` module, which includes a change in the default format for Databricks Runtime 8.0, from Parquet to Delta. This change is indicated by the `table-migrate` code and message in the commit. Additionally, the commit includes tests that have been manually verified. DuckDB is a powerful new addition to our library, and we are excited to make it available to our users. * whitelist fs ([#2136](#2136)). In this release, we have added the `fs` package to the `known.json` file, allowing its use in our open-source library. The `fs` package contains a wide range of modules and sub-packages, including `fs._bulk`, `fs.appfs`, `fs.base`, `fs.compress`, `fs.copy`, `fs.error_tools`, `fs.errors`, `fs.filesize`, `fs.ftpfs`, `fs.glob`, `fs.info`, `fs.iotools`, `fs.lrucache`, `fs.memoryfs`, `fs.mirror`, `fs.mode`, `fs.mountfs`, `fs.move`, `fs.multifs`, `fs.opener`, `fs.osfs`, `fs.path`, `fs.permissions`, `fs.subfs`, `fs.tarfs`, `fs.tempfs`, `fs.time`, `fs.tools`, `fs.tree`, `fs.walk`, `fs.wildcard`, `fs.wrap`, `fs.wrapfs`, and `fs.zipfs`. These additions address issue [#1901](#1901) and have been thoroughly manually tested to ensure proper functionality. * whitelist httpx ([#2139](#2139)). In this release, we have updated the "known.json" file to include the `httpx` library along with all its submodules. This change serves to whitelist the library, and it does not introduce any new functionality or impact existing functionalities. The addition of `httpx` is purely for informational purposes, and it will not result in the inclusion of new methods or functions. Rest assured, the team has manually tested the changes, and the project's behavior remains unaffected. We recommend this update to software engineers looking to adopt our project, highlighting that the addition of `httpx` will only influence the library whitelist and not the overall functionality. * whitelist jsonschema and jsonschema-specifications ([#2140](#2140)). In this release, we have made changes to the "known.json" file to whitelist the `jsonschema` and `jsonschema-specifications` libraries. This modification addresses issue [#1901](#1901) and does not introduce any new functionality or tests. The `jsonschema` library is utilized for schema validation, while the `jsonschema-specifications` library offers additional specifications for the `jsonschema` library. By adding these libraries to the "known.json" file, we ensure that they are recognized as approved dependencies and are not flagged as unknown or unapproved in the future. This enhancement improves the reliability and efficiency of our dependency management system, making it easier for software engineers to work with these libraries. * whitelist pickleshare ([#2141](#2141)). A new commit has been added to whitelist Pickleshare, a Python module for managing persistent data structures, in the known.json file. This change aligns with issue [#1901](#1901) and is a preparatory step to ensure Pickleshare's compatibility with the project. The Pillow module is already included in the whitelist. No new functionality has been introduced, and existing functionality remains unchanged. The purpose of the whitelist is not explicitly stated in the given context. As a software engineer integrating this project, you are advised to verify the necessity of whitelisting Pickleshare for your specific use case. * whitelist referencing ([#2142](#2142)). This commit introduces a new whitelist referencing feature, which includes the creation of a `referencing` section in the "known.json" file. The new section contains several entries, including "referencing._attrs", "referencing._core", "referencing.exceptions", "referencing.jsonschema", "referencing.retrieval", and "referencing.typing", all of which are initially empty. This change is a step towards completing issue [#2142](#2142) and addresses issue [#1901](#1901). Manual testing has been conducted to ensure the proper functioning of the new functionality. This enhancement was co-authored by Eric Vergnaud. * whitelist slicer ([#2143](#2143)). A new security measure has been implemented in the slicer module with the addition of a whitelist that specifies allowed modules and functions. The whitelist is implemented as a JSON object in the `known.json` file, preventing unauthorized access or usage of certain parts of the codebase. A test has been included to verify the functionality of the whitelist, ensuring that the slicer module is secure and functioning as intended. No new methods were added and existing functionality remains unchanged. The changes are localized to the `known.json` file and the slicer module, enhancing the security and integrity of the project. This feature was developed by Eric Vergnaud and myself. * whitelist sparse ([#2144](#2144)). In this release, we have whitelisted the `sparse` module, adding it to the known.json file. This module encompasses various sub-modules and components such as _common, _compressed, _coo, _dok, _io, _numba_extension, _settings, _slicing, _sparse_array, _umath, _utils, finch_backend, and numba_backend. Each component may contain additional classes, functions, or functionality, and the numba_backend sub-module includes further sub-components. This change aims to improve organization, enhance codebase understanding, and prevent accidental deletion or modification of critical code. The modification is in reference to issue [#1901](#1901) for additional context. Comprehensive testing has been carried out to guarantee the correct implementation of the whitelisting. * whitelist splink ([#2145](#2145)). In this release, we have added the `splink` library to our known_json file, which includes various modules and functions for entity resolution and data linking. This change is in line with issue [#190](#190) * whitelist toolz ([#2146](#2146)). In this release, we have whitelisted the `toolz` library and added it to the known.json file. The `toolz` library is a collection of functional utilities, compatible with CPython, PyPy, Jython, and IronPython, and is a port of various modules from Python's standard library and other open-source packages. The newly added modules include tlz, toolz, toolz._signatures, toolz._version, toolz.compatibility, toolz.curried, toolz.dicttoolz, toolz.functoolz, toolz.itertoolz, toolz.recipes, toolz.sandbox, toolz.sandbox.core, toolz.sandbox.parallel, and toolz.utils. These changes have been manually tested and may address issue [#1901](#1901). * whitelist xmod ([#2147](#2147)). In this release, we have made a modification to the open-source library that involves whitelisting `xmod` in the known.json file. This change includes the addition of a new key for `xmod` with an empty array as its initial value. It is important to note that this modification does not alter the existing functionality of the code. The development team has thoroughly tested the changes through manual testing to ensure proper implementation. This update is a significant milestone towards the progress of issue [#1901](#1901). Software engineers are encouraged to incorporate these updates in their code to leverage the new whitelisting functionality for "xmod." Dependency updates: * Updated databricks-labs-lsql requirement from ~=0.5.0 to >=0.5,<0.7 ([#2160](#2160)).
Merged
nfx
added a commit
that referenced
this pull request
Jul 12, 2024
* Fixed `Table Access Control is not enabled on this cluster` error ([#2167](#2167)). A fix has been implemented to address the `Table Access Control is not enabled on this cluster` error, changing it to a warning when the exception is raised. This modification involves the introduction of a new constant `CLUSTER_WITHOUT_ACL_FRAGMENT` to represent the error message and updates to the `snapshot` and `grants` methods to conditionally log a warning instead of raising an error when the exception is caught. These changes improve the robustness of the integration test by handling exceptions when many test schemas are being created and deleted quickly, without introducing any new functionality. However, the change has not been thoroughly tested. * Fixed infinite recursion when checking module of expression ([#2159](#2159)). In this release, we have addressed an infinite recursion issue ([#2159](#2159)) that occurred when checking the module of an expression. The `append_statements` method has been updated to no longer overwrite existing statements for globals when appending trees, instead extending the existing list of statements for the global with new values. This modification ensures that the accuracy of module checks is improved and prevents the infinite recursion issue. Additionally, unit tests have been added to verify the correct behavior of the changes and confirm the resolution of both the infinite recursion issue and the appending behavior. This enhancement was a collaborative effort with Eric Vergnaud. * Fixed parsing unsupported magic syntax ([#2157](#2157)). In this update, we have addressed a crashing issue that occurred when parsing unsupported magic syntax in a notebook's source code. We accomplished this by modifying the `_read_notebook_path` function in the `cells.py` file. Specifically, we changed the way the `start` variable, which marks the position of the command in a line, is obtained. Instead of using the `index()` method, we now use the `find()` method. This change resolves the crash and enhances the parser's robustness in handling various magic syntax types. The commit also includes a manual test to confirm the fix, which addresses one of the two reported issues. * Infer values from child notebook in magic line ([#2091](#2091)). This commit introduces improvements to the notebook linter for enhanced value inference during linting. By utilizing values from child notebooks loaded via the `%run` magic line, the linter can now provide more accurate suggestions and error detection. The `FileLinter` class has been updated to include a `session_state` parameter, allowing it to access variables and objects defined in child notebooks. New methods such as `append_tree()`, `append_nodes()`, and `append_globals()` have been added to the `BaseLinter` class for better code tree manipulation, enabling more accurate linting of combined code trees. Additionally, unit tests have been added to ensure the correct behavior of this feature. This change addresses issue [#1201](#1201) and progresses issue [#1901](#1901). * Updated databricks-labs-lsql requirement from ~=0.5.0 to >=0.5,<0.7 ([#2160](#2160)). In this update, the version constraint for the databricks-labs-lsql library has been updated from ~=0.5.0 to >=0.5,<0.7, allowing the project to utilize the latest features and bug fixes available in the library while maintaining compatibility with the existing codebase. This change ensures that the project can take advantage of any improvements or additions made to databricks-labs-lsql version 0.6.0 and above. For reference, the release notes for databricks-labs-lsql version 0.6.0 have been included in the commit, detailing the new features and improvements that come with the updated library. * Whitelist phonetics ([#2163](#2163)). This release introduces a whitelist for phonetics functionality in the `known.json` configuration file, allowing engineers to utilize five new phonetics methods: `phonetics`, `phonetics.metaphone`, `phonetics.nysiis`, `phonetics.soundex`, and `phonetics.utils`. These methods have been manually tested and are now available for use, contributing to issue [#2163](#2163) and progressing issue [#1901](#1901). As an adopting engineer, this addition enables you to incorporate these phonetics methods into your system's functionality, expanding the capabilities of the open-source library. * Whitelist pydantic ([#2162](#2162)). In this release, we have added the Pydantic library to the `known.json` file, which manages our project's third-party libraries. Pydantic is a data validation library for Python that allows developers to define data models and enforce type constraints, improving data consistency and correctness in the application. With this change, Pydantic and its submodules have been whitelisted and can be used in the project without being flagged as unknown libraries. This improvement enables us to utilize Pydantic's features for data validation and modeling, ensuring higher data quality and reducing the likelihood of errors in our application. * Whitelist statsmodels ([#2161](#2161)). In this change, the statsmodels library has been whitelisted for use in the project. Statsmodels is a comprehensive Python library for statistics and econometrics that offers a variety of tools for statistical modeling, testing, and visualization. With this update, the library has been added to the project's configuration file, enabling users to utilize its features without causing any conflicts. The modification does not affect the existing functionality of the project, but rather expands the range of statistical models and analysis tools available to users. Additionally, a test has been included to verify the successful integration of the library. These enhancements streamline the process of conducting statistical analysis and modeling within the project. * whitelist dbignite ([#2132](#2132)). A new commit has been made to whitelist the dbignite repository and add a set of codes and messages in the "known.json" file related to the use of RDD APIs on UC Shared Clusters and the change in the default format from Parquet to Delta in Databricks Runtime 8.0. The affected components include dbignite.fhir_mapping_model, dbignite.fhir_resource, dbignite.hosp_feeds, dbignite.hosp_feeds.adt, dbignite.omop, dbignite.omop.data_model, dbignite.omop.schemas, dbignite.omop.utils, and dbignite.readers. These changes are intended to provide information and warnings regarding the use of the specified APIs on UC Shared Clusters and the change in default format. It is important to note that no new methods have been added, and no existing functionality has been changed as part of this update. The focus of this commit is solely on the addition of the dbignite repository and its associated codes and messages. * whitelist duckdb ([#2134](#2134)). In this release, we have whitelisted the DuckDB library by adding it to the "known.json" file in the source code. DuckDB is an in-memory analytical database written in C++. This addition includes several modules such as `adbc_driver_duckdb`, `duckdb.bytes_io_wrapper`, `duckdb.experimental`, `duckdb.filesystem`, `duckdb.functional`, and `duckdb.typing`. Of particular note is the `duckdb.experimental.spark.sql.session` module, which includes a change in the default format for Databricks Runtime 8.0, from Parquet to Delta. This change is indicated by the `table-migrate` code and message in the commit. Additionally, the commit includes tests that have been manually verified. DuckDB is a powerful new addition to our library, and we are excited to make it available to our users. * whitelist fs ([#2136](#2136)). In this release, we have added the `fs` package to the `known.json` file, allowing its use in our open-source library. The `fs` package contains a wide range of modules and sub-packages, including `fs._bulk`, `fs.appfs`, `fs.base`, `fs.compress`, `fs.copy`, `fs.error_tools`, `fs.errors`, `fs.filesize`, `fs.ftpfs`, `fs.glob`, `fs.info`, `fs.iotools`, `fs.lrucache`, `fs.memoryfs`, `fs.mirror`, `fs.mode`, `fs.mountfs`, `fs.move`, `fs.multifs`, `fs.opener`, `fs.osfs`, `fs.path`, `fs.permissions`, `fs.subfs`, `fs.tarfs`, `fs.tempfs`, `fs.time`, `fs.tools`, `fs.tree`, `fs.walk`, `fs.wildcard`, `fs.wrap`, `fs.wrapfs`, and `fs.zipfs`. These additions address issue [#1901](#1901) and have been thoroughly manually tested to ensure proper functionality. * whitelist httpx ([#2139](#2139)). In this release, we have updated the "known.json" file to include the `httpx` library along with all its submodules. This change serves to whitelist the library, and it does not introduce any new functionality or impact existing functionalities. The addition of `httpx` is purely for informational purposes, and it will not result in the inclusion of new methods or functions. Rest assured, the team has manually tested the changes, and the project's behavior remains unaffected. We recommend this update to software engineers looking to adopt our project, highlighting that the addition of `httpx` will only influence the library whitelist and not the overall functionality. * whitelist jsonschema and jsonschema-specifications ([#2140](#2140)). In this release, we have made changes to the "known.json" file to whitelist the `jsonschema` and `jsonschema-specifications` libraries. This modification addresses issue [#1901](#1901) and does not introduce any new functionality or tests. The `jsonschema` library is utilized for schema validation, while the `jsonschema-specifications` library offers additional specifications for the `jsonschema` library. By adding these libraries to the "known.json" file, we ensure that they are recognized as approved dependencies and are not flagged as unknown or unapproved in the future. This enhancement improves the reliability and efficiency of our dependency management system, making it easier for software engineers to work with these libraries. * whitelist pickleshare ([#2141](#2141)). A new commit has been added to whitelist Pickleshare, a Python module for managing persistent data structures, in the known.json file. This change aligns with issue [#1901](#1901) and is a preparatory step to ensure Pickleshare's compatibility with the project. The Pillow module is already included in the whitelist. No new functionality has been introduced, and existing functionality remains unchanged. The purpose of the whitelist is not explicitly stated in the given context. As a software engineer integrating this project, you are advised to verify the necessity of whitelisting Pickleshare for your specific use case. * whitelist referencing ([#2142](#2142)). This commit introduces a new whitelist referencing feature, which includes the creation of a `referencing` section in the "known.json" file. The new section contains several entries, including "referencing._attrs", "referencing._core", "referencing.exceptions", "referencing.jsonschema", "referencing.retrieval", and "referencing.typing", all of which are initially empty. This change is a step towards completing issue [#2142](#2142) and addresses issue [#1901](#1901). Manual testing has been conducted to ensure the proper functioning of the new functionality. This enhancement was co-authored by Eric Vergnaud. * whitelist slicer ([#2143](#2143)). A new security measure has been implemented in the slicer module with the addition of a whitelist that specifies allowed modules and functions. The whitelist is implemented as a JSON object in the `known.json` file, preventing unauthorized access or usage of certain parts of the codebase. A test has been included to verify the functionality of the whitelist, ensuring that the slicer module is secure and functioning as intended. No new methods were added and existing functionality remains unchanged. The changes are localized to the `known.json` file and the slicer module, enhancing the security and integrity of the project. This feature was developed by Eric Vergnaud and myself. * whitelist sparse ([#2144](#2144)). In this release, we have whitelisted the `sparse` module, adding it to the known.json file. This module encompasses various sub-modules and components such as _common, _compressed, _coo, _dok, _io, _numba_extension, _settings, _slicing, _sparse_array, _umath, _utils, finch_backend, and numba_backend. Each component may contain additional classes, functions, or functionality, and the numba_backend sub-module includes further sub-components. This change aims to improve organization, enhance codebase understanding, and prevent accidental deletion or modification of critical code. The modification is in reference to issue [#1901](#1901) for additional context. Comprehensive testing has been carried out to guarantee the correct implementation of the whitelisting. * whitelist splink ([#2145](#2145)). In this release, we have added the `splink` library to our known_json file, which includes various modules and functions for entity resolution and data linking. This change is in line with issue [#190](#190) * whitelist toolz ([#2146](#2146)). In this release, we have whitelisted the `toolz` library and added it to the known.json file. The `toolz` library is a collection of functional utilities, compatible with CPython, PyPy, Jython, and IronPython, and is a port of various modules from Python's standard library and other open-source packages. The newly added modules include tlz, toolz, toolz._signatures, toolz._version, toolz.compatibility, toolz.curried, toolz.dicttoolz, toolz.functoolz, toolz.itertoolz, toolz.recipes, toolz.sandbox, toolz.sandbox.core, toolz.sandbox.parallel, and toolz.utils. These changes have been manually tested and may address issue [#1901](#1901). * whitelist xmod ([#2147](#2147)). In this release, we have made a modification to the open-source library that involves whitelisting `xmod` in the known.json file. This change includes the addition of a new key for `xmod` with an empty array as its initial value. It is important to note that this modification does not alter the existing functionality of the code. The development team has thoroughly tested the changes through manual testing to ensure proper implementation. This update is a significant milestone towards the progress of issue [#1901](#1901). Software engineers are encouraged to incorporate these updates in their code to leverage the new whitelisting functionality for "xmod." Dependency updates: * Updated databricks-labs-lsql requirement from ~=0.5.0 to >=0.5,<0.7 ([#2160](#2160)).
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Updates the requirements on databricks-labs-lsql to permit the latest version.
Release notes
Sourced from databricks-labs-lsql's releases.
Changelog
Sourced from databricks-labs-lsql's changelog.
... (truncated)
Commits
2c062b2Release v0.6.0 (#217)f86d823Movecreate_dashboardmehod to DashboardMetadata (#216)a2323f8Expand arguments when callingreplace_databasein cli to multiple lines (#214)6ae37e6Update ruff check command (#213)46875e7Extend replace database in query (#210)e36702aAdd method to dashboards to get dashboard url (#211)4d6668fClean a bit of code (#209)5b288fcImprove object oriented dashboard-as-code implementation (#208)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot show <dependency name> ignore conditionswill show all of the ignore conditions of the specified dependency@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)