upgrade to support dbt-core v1.3.0
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Background
The latest release cut for 1.3.0, dbt-core==1.3.0rc2 was published on October 3, 2022 (PyPI | Github). We are targeting releasing the official cut of 1.3.0 in time for the week of October 16 (in time for Coalesce conference).
We're trying to establish a following precedent w.r.t. minor versions:
Partner adapter maintainers release their adapter's minor version within four weeks of the initial RC being released. Given the delay on our side in notifying you, we'd like to set a target date of November 7 (four weeks from today) for maintainers to release their minor version
| Timeframe | Date (intended) | Date (Actual) | Event |
|---|---|---|---|
| D - 3 weeks | Sep 21 | Oct 10 | dbt Labs informs maintainers of upcoming minor release |
| D - 2 weeks | Sep 28 | Sep 28 | core 1.3 RC is released |
| Day D | October 12 | Oct 12 | core 1.3 official is published |
| D + 2 weeks | October 26 | Nov 7 | dbt-adapter 1.3 is published |
How to upgrade
dbt-labs/dbt-core#6011 is an open discussion with more detailed information, and dbt-labs/dbt-core#6040 is for keeping track of the community's progress on releasing 1.2.0
Below is a checklist of work that would enable a successful 1.2.0 release of your adapter.
- Python Models (if applicable)
- Incremental Materialization: cleanup and standardization
- More functional adapter tests to inherit