Hey guys, how is it going? We are currently using Airbyte inside a K8s stack and we are having some issues with a specific connection. Our source has approximately 150 tables and the whole ELT process takes 11 minutes, but that time is high considering the business needs and we are trying to reduce it. We tried some parallelizing parameters inside the docs, like setting a cpu limit for the airbyte worker, increasing the replica value, setting the max workers variable, but that didn't make any change. My question is: Is it possible to currently parallelize just a single ELT task or does the parallelize parameters only work for a bunch of different tasks?

Hey, Gabriel! Unfortunately this is not currently possible, but we have an open issue to track the development progress: https://github.com/airbytehq/airbyte/issues/7750