workflow

Apache Airflow version

2.2.4 (latest released)

What happened

I am using Airflow 2.2.4 docker which is to run a DAG, test_dag.py, defined as follows:

from airflow.decorators import dag, task
from airflow.utils import dates


@dag(schedule_interval=None,
     start_date=dates.days_ago(1),
     catchup=False)
def test_dag():

    @task.docker(image='company/my-repo',
  

UI start/end times don't show exact timestamp ie HH:MI:SS . When debugging a failed workflow the exact minute/second is very useful to know.

Description

It looks like the installation command should be conda install -c conda-forge prefect python-kubernetes
https://github.com/PrefectHQ/prefect/blame/master/docs/orchestration/agents/kubernetes.md#L28

Logs:

(prefect) ubuntu@ip-172-31-7-79:~/perfect$ prefect agent kubernetes start --name "K8S Agent"
Traceback (most recent call

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

Use case

Polyaxon tracking can be used to automatically log all information generated by Ludwig.

We should probably think about adding support for Polyaxon's tracking module in Ludwig contrib.

Hey everyone, I hope y'all enjoyed your holidays.
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Is your feature request related to a problem? Please describe.

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