Comments (1)
Yep - one of the super useful features of GX itself is that you can get really useful context as to what is wrong with your data. I'm surprised this hasn't been raised more ... this is needed if you are using the tool for data reconciliation and not just as a guarding test for generating new models. dbt allows persistence of failures, so would be great if we could try to customise what a failure looks like. In some cases, returning the raw columns is not desirable, however, as they could contain PII data, so customisation features would be handy.
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Related Issues (20)
- Update calogica/dbt_date version. HOT 1
- [Feature Request] Add Spark Support
- [Feature Request] Test row-on-row percent change
- [Feature Request] HOT 2
- [Feature Request] Update the package version for dbt-date HOT 3
- [BUG] The quote: parameter in the model .yaml breaks the expect_column_to_exist() macro.
- [Feature Request] Add suport for AWS Athena HOT 1
- [BUG] Invalid SQL compiled when extracting relation columns from duckdb adapter
- [BUG] expect_multicolumn_sum_to_equal fails if sum_total is another column
- Trino support
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- [Feature Request] Add variable for row_cnt for expect_row_values_to_have_data_for_every_n_datepart test
- [BUG] With expect expect_column_values_to_be_of_type test
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- [BUG] Table columns names that contain spaces trigger runtime errors.
- Improve performance by moving to count(1) instead of count(*)
- [BUG] expect_table_aggregation_to_equal_other_table doesn't work with dates HOT 1
- expect_column_proportion_of_unique_values_to_be_between throwing a compilation error HOT 3
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