Implementation of metadata-based freshness #1072
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| import pytest | |||
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should this be in the functional directory?
| dataset_ref = DatasetReference(project.database, project.test_schema) | ||
| table_ref = TableReference(dataset_ref, table_name) | ||
| with pytest.raises(NotFound): | ||
| client.get_table(table_ref) |
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do we need to test the bigquery api?
colin-rogers-dbt
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McKnight-42
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elyobo
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Freshness tests were added for BigQuery in dbt-labs/dbt-bigquery#1072 and released with [`dbt-bigquery` 1.7.3](https://github.com/dbt-labs/dbt-bigquery/releases/tag/v1.7.3).
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Thanks @mikealfare, I've added an update to the docs at dbt-labs/docs.getdbt.com#4784 |
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resolves #938
Problem
The current implementation of source freshness requires querying the data and requires the user provide a datetime field. This is slower and more expensive than it should be. It doesn't scale across multiple models. And some models do not have an appropriate datetime field.
Solution
Use source metadata where available.
NOTE: We are releasing to
1.7.latestfirst, which is unusual. This PR is a set of cherry picks from #1060. The latter will be updated and merged post adapter/core split work.Checklist