Continuous Training Pipelines with Cloud Composer Reviews

Pooja D. · Reviewed больше 2 лет ago

Rangan G. · Reviewed больше 2 лет ago

Thiago S. · Reviewed больше 2 лет ago

follow this instruction to arrive to the end: - remember to disable and re-enable composer api - wait untill the composer api is enable again to go on with cloud shell commands (e.g. activation of gcp services) - use this command to create the env gcloud composer environments create demo-environment \ --location $REGION \ --python-version 3 \ --image-version composer-1.20.8-airflow-1.10.15 - if the env is not going to an end, go to composer tool, click the composer name (demo etc etc), the there is the schedule hearthbeat, click zoom in and then refresh many times on the top right button - that's it

Francesco N. · Reviewed больше 2 лет ago

doesn't work because the environment doesn't set up in the available time and the customer service is terrible

Francesco N. · Reviewed больше 2 лет ago

Instruction missing regarding service account.

Thusitha C. · Reviewed больше 2 лет ago

Andrew F. · Reviewed больше 2 лет ago

Arnab S. · Reviewed больше 2 лет ago

Mathanagopalan N. · Reviewed больше 2 лет ago

The Airflow UI is not very user friendly

Vinicius G. · Reviewed больше 2 лет ago

Mahesh G. · Reviewed больше 2 лет ago

Nobu Y. · Reviewed больше 2 лет ago

good

Shyam Prakash M. · Reviewed больше 2 лет ago

good

Shyam Prakash M. · Reviewed больше 2 лет ago

Vamshidhar C. · Reviewed больше 2 лет ago

Tommy T. · Reviewed больше 2 лет ago

Dominik K. · Reviewed больше 2 лет ago

This lab does not work

Widi E. · Reviewed больше 2 лет ago

The lab should be updated regarding new namings and versions

Maria A. · Reviewed больше 2 лет ago

This code causes error: gcloud composer environments storage data import \ --source vars.json \ --environment demo-environment \ --location $REGION Maybe, someting like this: gcloud composer environments create demo-environment --location $REGION --python-version 3 --image-version composer-1-airflow-2 On a final stage got the following error: Broken DAG: [/home/airflow/gcs/dags/chicago_taxi_dag.py] Traceback (most recent call last): File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/baseoperator.py", line 408, in apply_defaults result = func(self, **kwargs, default_args=default_args) File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/baseoperator.py", line 756, in __init__ raise AirflowException( airflow.exceptions.AirflowException: Invalid arguments were passed to PubSubPublishMessageOperator (task_id: publish_on_failed_check_task). Invalid arguments were: **kwargs: {'project': 'qwiklabs-gcp-01-b3b09229c6d5'}

Alexandr G. · Reviewed больше 2 лет ago

Need an update to the gcloud composer environment create script

Phillip M. · Reviewed больше 2 лет ago

doesn't work because the environment doesn't set up in the available time and the customer service is terrible

Francesco N. · Reviewed больше 2 лет ago

doesn't work and the customer service is terrible

Francesco N. · Reviewed больше 2 лет ago

doesn't work

Francesco N. · Reviewed больше 2 лет ago

In the DAG writing task, TODO#2, the solution says task_id="bq_eval_data_task", it should be task_id="bq_valid_data_task".

Sophie S. · Reviewed больше 2 лет ago