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scheduler
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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
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Is there a way to make a job re-occur N milliseconds after it finished previous time?
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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.
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Description
I am using Airflow to move data periodically to our datalake and noticed that the MySQLToS3Operator has tempalted fields and the DynamoDBToS3Operator doesn't. I found a semi awkward workaround but thought templated fields would be nice.
I supposed an implementation could be as simple as adding
template_fields = (
's3_bucket',
's3_key',
)
to the Operator