Rich
Rich
Nice to hear this. I think separate package would be better, like https://github.com/challengepost/activeasync
In out project, we use `orator.py` in migrations, but we didn't use the ORM feature. I think that's why it is good in our side.
ah, I think I hit this issue in https://github.com/datafusion-contrib/datafusion-python/issues/45#issuecomment-1087051568 as well
I find it too, so I change to use `memory` buffer And my test of `file to s3` shows memory buffer (200MB per minute) have 4x throughput than disk buffer...
I switch to memory buffer and works well https://github.com/fluent/fluent-plugin-s3/issues/339#issuecomment-660093235
thanks @zemelLeong for contribution https://github.com/roapi/roapi/pull/162, I think we can close it. Feel free to re-open if need
closed? looks like it is done at 2022-05-30 https://github.com/roapi/docs/blob/main/src/config/databases.md
I will close it first. Feel free to re-open if need
I am not familiar with Azure, but looks like ADLS Gen 2 `adfs://` and `adfss://` are supported by `object_store` and thus done in https://github.com/roapi/roapi/pull/250?
we recently replace `rusoto` with `object_store` at https://github.com/roapi/roapi/issues/240, so I just try to reproduce this at https://github.com/jychen7/roapi/pull/8. Interestingly, though both `use_memory_table: true` and `use_memory_table: false` use same `object_store` to read...