scheduler

The SageMaker Operators not having a default value for aws_conn_id is a pain, we should fix that. See EKS operators for an example: https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/operators/eks.py

Originally posted by @ferruzzi in apache/airflow#21673 (comment)

https://dagster.slack.com/archives/C01U954MEER/p1642163479382400:

Hi, I'm experiencing a bug when trying to write an ALS model from pyspark.ml.recommendation to S3 and reading it back in if this takes place within a dynamically executed graph (i.e. via dynamic mapping). I wrote a custom IO manager using the pattern f's3a://{self.s3_bucket}/{key}' as _uri_for_key similar to the one currently imp

Is there a way to make a job re-occur N milliseconds after it finished previous time?

The tests fail sometimes due to millisecond based timing on some of the tests. I over optimized for local testing and it's causing tests to fail in CI occasionally. The CI pipeline is running in docker with limited resources, so not able to handle quite as precise time as my local machine.