When running Meltano with a Postgres state backend (setting

MELTANO_DATABASE_URI

to a SQLAlchemy Postgres URI), meltano writes to a number of Postgres tables - not just

state

, but also

runs

(and others, but

runs

is valuable). When running Meltano with an S3 state backend (setting

MELTANO_STATE_BACKEND_URI

to an AWS S3 URI), meltano only writes

state

-

runs

data is not persisted to S3 at all. My question - is it possible to configure Meltano to write

runs

data to S3 when using S3 as a state backend? We’d like to switch over from Postgres to S3 so we can sunset this particular Postgres database but if that means we lose the

runs

records we may need to reconsider, that is valuable data.

Thanks @Matt Menzenski! I've responded in the issue.