upgrade to support dbt-core v1.3.0

[dataders]

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 in dbt-exasol #37
• Incremental Materialization: cleanup and standardization #38
• More functional adapter tests to inherit #39

[tglunde]

python models (#37) will be added later. for now closing 1.3 issue.