Feat: MotherDuck cache support

[aaronsteers]

I put this together really quick but have not yet tested it.

This appears to be working well. Would appreciate additional testers and feedback.

I referenced the MotherDuck/LangChain docs here:

• https://python.langchain.com/docs/integrations/providers/motherduck

[aaronsteers]

Interesting error if database name and schema name are both the same ('airbyte_test', below).

sqlalchemy.exc.ProgrammingError: (duckdb.duckdb.BinderException) Binder Error: Ambiguous reference to catalog or schema "airbyte_test" - use a fully qualified path like "airbyte_test.airbyte_test"
[SQL: 
CREATE TABLE airbyte_test._airbyte_streams (
        stream_name VARCHAR, 
        source_name VARCHAR, 
        table_name VARCHAR NOT NULL, 
        catalog_metadata VARCHAR, 
        PRIMARY KEY (table_name)
)

[aaronsteers]

Looks like we have a new rendering bug in code unrelated to this PR. But on the plus side - it looks like the read was successful 🙌 :

AJ-Steers-MacBook-Pro---GGHWM7QWPJ:airbyte-lib-private-beta ajsteers$ poetry run python examples/run_faker_to_motherduck.py 
Connection check succeeded for `source-faker`.
Started `source-faker` read operation at 09:06:36...
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>
Completed `source-faker` read operation at 09:06:48.
Stream products: 100 records
Stream users: 10000 records
Stream purchases: 10000 records

[bindipankhudi]

Looks great! Much less cache code after the refactor you did.