github great-expectations/great_expectations 0.11.9

latest releases: 1.0.0a3, 0.18.13, 1.0.0a2...
3 years ago

What’s Changed

  • [FEATURE] New Dataset Support: Microsoft SQL Server
  • [FEATURE] Render expectation validation results to markdown
  • [FEATURE] Support for Pattern Matching Expectations Using the SQL LIKE Operator
  • [FEATURE] Add --assume-yes/--yes/-y option to cli docs build command (thanks @feluelle)
  • [FEATURE] Add SSO and SSH key pair authentication for Snowflake (thanks @dmateusp)
  • [FEATURE] Add the Microsoft SQL Server database management system to the list of supported data sources
  • [FEATURE] Add pattern-matching expectations that use the Standard SQL "LIKE" operator: "expect_column_values_to_match_like_pattern", "expect_column_values_to_not_match_like_pattern", "expect_column_values_to_match_like_pattern_list", and "expect_column_values_to_not_match_like_pattern_list"
  • [ENHANCEMENT] Deprecate magic "profiling" run_name for Data Docs profiling results rendering
  • [ENHANCEMENT] Make Data Docs rendering of profiling results more flexible by deprecating the reliance on validation results having the specific run_name of "profiling"
  • [ENHANCEMENT] Use green checkmark in Slack msgs instead of tada
  • [ENHANCEMENT] log class instantiation errors for better debugging
  • [BUGFIX] usage_statistics decorator now handles 'dry_run' flag
  • [BUGFIX] Add spark_context to DatasourceConfigSchema (#1713) -- thanks @Dandandan
  • [BUGFIX] Add spark_context to DatasourceConfigSchema (#1713) (thanks @Dandandan)
  • [BUGFIX] Handle case when unexpected_count list element is str
  • [DOCS] Deploying Data Docs
  • [DOCS] New how-to guide: How to instantiate a Data Context on an EMR Spark cluster
  • [DOCS] Managed Spark DF Documentation #1729 (thanks @mgorsk1)
  • [DOCS] Typos and clarifications (thanks @dechoma @sbrugman @rexboyce)

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