Fix lsql dependency#564
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## Changes <!-- Summary of your changes that are easy to understand. Add screenshots when necessary --> ### Linked issues <!-- DOC: Link issue with a keyword: close, closes, closed, fix, fixes, fixed, resolve, resolves, resolved. See https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword --> Resolves #.. ### Tests <!-- How is this tested? Please see the checklist below and also describe any other relevant tests --> - [ ] manually tested - [ ] added unit tests - [ ] added integration tests - [ ] added end-to-end tests - [ ] added performance tests
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Pull Request Overview
Updates the databricks-labs-lsql dependency version constraint to resolve sqlglot dependency conflicts when imported in artifacts repositories.
- Updated lsql dependency upper bound from
<0.15to<=0.16
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✅ 295/295 passed, 3 flaky, 1 skipped, 2h35m40s total Flaky tests:
Running from acceptance #2212 |
mwojtyczka
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Sep 5, 2025
* Added performance benchmarks ([#548](#548)). Performance tests are run to ensure performance does not degrade by more than 25% by any change. Benchmark results are published in the documentation in the reference section. The benchmark covers all check functions, running all funcitons at once and applying the same funcitons at once for multiple columns using foreach column. A new performance GitHub workflow has been introduced to automate performance benchmarking, generating a new benchmark baseline, updating the existing baseline, and running performance tests to compare with the baseline. * Declare readme in the project ([#547](#547)). The project configuration has been updated to include README file in the released package so that it is visible in PyPi. * Fixed deserializing to DataFrame to assign columns properly ([#559](#559)). The `deserialize_checks_to_dataframe` function has been enhanced to correctly handle columns for `sql_expression` by removing the unnecessary check for `DQDatasetRule` instance and directly verifying if `dq_rule_check.columns` is not `None`. * Fixed lsql dependency ([#564](#564)). The lsql dependency has been updated to address a sqlglot dependency issue that arises when imported in artifacts repositories.
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mwojtyczka
added a commit
that referenced
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Sep 5, 2025
* Added performance benchmarks ([#548](#548)). Performance tests are run to ensure performance does not degrade by more than 25% by any change. Benchmark results are published in the documentation in the reference section. The benchmark covers all check functions, running all funcitons at once and applying the same funcitons at once for multiple columns using foreach column. A new performance GitHub workflow has been introduced to automate performance benchmarking, generating a new benchmark baseline, updating the existing baseline, and running performance tests to compare with the baseline. * Declare readme in the project ([#547](#547)). The project configuration has been updated to include README file in the released package so that it is visible in PyPi. * Fixed deserializing to DataFrame to assign columns properly ([#559](#559)). The `deserialize_checks_to_dataframe` function has been enhanced to correctly handle columns for `sql_expression` by removing the unnecessary check for `DQDatasetRule` instance and directly verifying if `dq_rule_check.columns` is not `None`. * Fixed lsql dependency ([#564](#564)). The lsql dependency has been updated to address a sqlglot dependency issue that arises when imported in artifacts repositories.
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Changes
Updated lsql dependency to avoid sqlglot dependency issue when imported in artifacts repositories.
Tests
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Linked issues
Resolves #..
Tests