0.15.23

• [FEATURE] do not require expectation_suite_name in DataAssistantResult.show_expectations_by...() methods (#5976)
• [FEATURE] Refactor PartitionParameterBuilder into dedicated ValueCountsParameterBuilder and HistogramParameterBuilder (#5975)
• [FEATURE] Implement default sorting for batches based on selected splitter method (#5924)
• [FEATURE] Make OnboardingDataAssistant default profiler in CLI SUITE NEW (#6012)
• [FEATURE] Enable omission of rounding of decimals in NumericMetricRangeMultiBatchParameterBuilder (#6017)
• [FEATURE] Enable non-default sorters for ConfiguredAssetSqlDataConnector (#5993)
• [FEATURE] Data Assistant plot method indication of total metrics and expectations count (#6016)
• [BUGFIX] Addresses issue with ExpectCompoundColumnsToBeUnique renderer (#5970)
• [BUGFIX] Fix failing run_profiler_notebook test (#5983)
• [BUGFIX] Handle case when only one unique "column.histogram" bin value is found (#5987)
• [BUGFIX] Update get_validator test assertions due to change in fixture batches (#5989)
• [BUGFIX] Fix use of column.partition metric in HistogramSingleBatchParameterBuilder to more accurately handle errors (#5990)
• [BUGFIX] Make Spark implementation of "column.value_counts" metric more robust to None/NaN column values (#5996)
• [BUGFIX] Filter out np.nan values (just like None values) as part of ColumnValueCounts._spark() implementation (#5998)
• [BUGFIX] Handle case when only one unique "column.histogram" bin value is found with proper type casting (#6001)
• [BUGFIX] ColumnMedian._sqlalchemy() needs to handle case of single-value column (#6011)
• [BUGFIX] Patch broken save_expectation_suite behavior with Cloud-backed DataContext (#6004)
• [BUGFIX] Clean quantitative metrics DataFrames in Data Assistant plotting (#6023)
• [BUGFIX] Defer pprint in ExpectationSuite.show_expectations_by_expectation_type() due to Jupyter rate limit (#6026)
• [BUGFIX] Use UTC TimeZone (rather than Local Time Zone) for Rule-Based Profiler DateTime Conversions (#6028)
• [DOCS] Update snippet refs in "How to create an Expectation Suite with the Onboarding Data Assistant" (#6014)
• [MAINTENANCE] Randomize the non-comprehensive tests (#5968)
• [MAINTENANCE] DatasourceStore refactoring (#5941)
• [MAINTENANCE] Expectation suite init unit tests + types (#5957)
• [MAINTENANCE] Expectation suite new unit tests for add_citation (#5966)
• [MAINTENANCE] Updated release schedule (#5977)
• [MAINTENANCE] Unit tests for CheckpointStore (#5967)
• [MAINTENANCE] Enhance unit tests for ExpectationSuite.isEquivalentTo (#5979)
• [MAINTENANCE] Remove unused fixtures from test suite (#5965)
• [MAINTENANCE] Update to MultiBatch Notebook to include Configured - Sql (#5945)
• [MAINTENANCE] Update to MultiBatch Notebook to include Inferred - Sql (#5958)
• [MAINTENANCE] Add reverse assertion for isEquivalentTo tests (#5982)
• [MAINTENANCE] Unit test enhancements ExpectationSuite.eq() (#5984)
• [MAINTENANCE] Refactor DataContext.__init__ to move Cloud-specific logic to CloudDataContext (#5981)
• [MAINTENANCE] Set up cloud integration tests with Azure Pipelines (#5995)
• [MAINTENANCE] Example of splitter_method at Asset and DataConnector level (#6000)
• [MAINTENANCE] Replace splitter_method strings with SplitterMethod Enum and leverage GESqlDialect Enum where applicable (#5980)
• [MAINTENANCE] Ensure that DataContext.add_datasource works with nested DataConnector ids (#5992)
• [MAINTENANCE] Remove cloud integration tests from azure-pipelines.yml (#5997)
• [MAINTENANCE] Unit tests for GeCloudStoreBackend (#5999)
• [MAINTENANCE] Parameterize pg hostname in jupyter notebooks (#6005)
• [MAINTENANCE] Unit tests for Validator (#5988)
• [MAINTENANCE] Add unit tests for SimpleSqlalchemyDatasource (#6008)
• [MAINTENANCE] Remove dgtest from dev pipeline (#6003)
• [MAINTENANCE] Remove deprecated account_id from GX Cloud integrations (#6010)
• [MAINTENANCE] Added perf considerations to onboarding assistant notebook (#6022)
• [MAINTENANCE] Redshift specific temp table code path (#6021)
• [MAINTENANCE] Update datasource new workflow to enable ConfiguredAssetDataConnector usage with SQL-backed Datasources (#6019)