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[Feature] Support the updating of incremental model description after initial creation #585
[Feature] Support the updating of incremental model description after initial creation #585
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thanks for opening @kiwamizamurai! Your example was excellent, I was able to reproduce! AFAICT,column-level docs persistence was first introduced via dbt-labs/dbt-core#2402. The comment above From this, I'm assuming the implementation is that a relation (table) description is only created at time of table creation, and not updated like that of columns. This is a nitpick, but I accordingly changed this from being a bug to an enhancement, as we've never supported in dbt-bigquery the modification of table description metadata after creation. However, I see no reason why |
I understood it. Thank you. @dataders |
Yeah give it a try? Maybe if that works, then we include a call to it within |
@dataders |
I modified the code |
* Bump mypy from 1.5.0 to 1.5.1 Bumps [mypy](https://github.com/python/mypy) from 1.5.0 to 1.5.1. - [Commits](python/mypy@v1.5.0...v1.5.1) --- updated-dependencies: - dependency-name: mypy dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> * Add automated changelog yaml from template for bot PR --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Github Build Bot <buildbot@fishtownanalytics.com> Co-authored-by: Matthew McKnight <91097623+McKnight-42@users.noreply.github.com> Co-authored-by: Mike Alfare <13974384+mikealfare@users.noreply.github.com>
Is this a new bug in dbt-bigquery?
Current Behavior
Table description does not changed even thought I modify the
schema.yml
withpersist_docs=true
andmaterialized=incremental
.Expected Behavior
Table description should be altered regardless of materialization type.
Steps To Reproduce
dbt build --select hogehoge
Relevant log output
Environment
Additional Context
I have not observed this phenomenon with other data platform adapter like snowflake.
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