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Releases: calogica/dbt-expectations

dbt-expectations 0.5.3

08 Mar 23:02
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New Features

  • Add group_by parameter to expect_column_values_to_be_increasing and expect_column_values_to_be_decreasing (#146 @Lucasthenoob)

New Contributors

Full Changelog: 0.5.2...0.5.3

dbt-expectations 0.5.2

24 Feb 20:36
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Fixes

  • Fix expect_row_values_to_have_recent_data to use current timestamp by @MrJoosh in #145 (also fixes #104)

New Features

Doc Updates 💌

New Contributors

dbt-expectations 0.5.1

08 Dec 23:32
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What's Changed

New Contributors

Full Changelog: 0.5.0...0.5.1

dbt-expectations 0.5.0

05 Dec 17:09
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What's Changed

This release is NOT backwards-compatible with versions of dbt < 1.0.0. Please use 0.4.7 if you're not yet ready to upgrade to dbt v1.

Full Changelog: 0.4.7...0.5.0

dbt-expectations 0.4.7

05 Dec 16:51
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Full Changelog: 0.4.6...0.4.7

dbt-expectations 0.4.6

16 Nov 14:28
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New Contributors

Full Changelog: 0.4.5...0.4.6

dbt-expectations 0.4.5

10 Nov 16:23
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What's Changed

  • make non-core a little more clear by @chapmanjacobd in #119
  • Add expect_table_columns_to_contain_set to README by @epapineau in #121
  • Fix Redshift compatibility by @mirosval in #123
  • Add an optional argument to allow for intervals of date_part in expect_row_values_to_have_data_for_every_n_datepart by @lewisarmistead in #110

New Contributors

Full Changelog: 0.4.4...0.4.5

dbt-expectations 0.4.4

17 Oct 14:01
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What's Changed

  • Fix expect_row_values_to_have_data_for_every_n_datepart errors when both start and end dates are set by @jeremyyeo in #115
  • Replace hardcoded transform in expect_column_to_exist by @UselessAlias in #118

New Contributors

Full Changelog: 0.4.3...0.4.4

dbt-expectations 0.4.3

06 Oct 15:32
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Full Changelog: 0.4.2...0.4.3

dbt-expectations v0.4.2

16 Aug 15:01
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Features

  • Added row_condition to expect_grouped_row_values_to_have_recent_data and expect_row_values_to_have_recent_data to allow for partition filtering before applying the recency test (#106 w/ @edbizarro)

Under the hood

  • Converted Jinja set logic to SQL joins to make it easier to follow and iterate in the future (#108)