Continuous Training Pipelines with Cloud Composer Reviews

Pooja D. · Reviewed over 2 years ago

Rangan G. · Reviewed over 2 years ago

Thiago S. · Reviewed over 2 years 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 over 2 years ago

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

Francesco N. · Reviewed over 2 years ago

Instruction missing regarding service account.

Thusitha C. · Reviewed over 2 years ago

Andrew F. · Reviewed over 2 years ago

Arnab S. · Reviewed over 2 years ago

Mathanagopalan N. · Reviewed over 2 years ago

The Airflow UI is not very user friendly

Vinicius G. · Reviewed over 2 years ago

Mahesh G. · Reviewed over 2 years ago

Nobu Y. · Reviewed over 2 years ago

good

Shyam Prakash M. · Reviewed over 2 years ago

good

Shyam Prakash M. · Reviewed over 2 years ago

Vamshidhar C. · Reviewed over 2 years ago

Tommy T. · Reviewed over 2 years ago

Dominik K. · Reviewed over 2 years ago

This lab does not work

Widi E. · Reviewed over 2 years ago

The lab should be updated regarding new namings and versions

Maria A. · Reviewed over 2 years 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 over 2 years ago

Need an update to the gcloud composer environment create script

Phillip M. · Reviewed over 2 years ago

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

Francesco N. · Reviewed over 2 years ago

doesn't work and the customer service is terrible

Francesco N. · Reviewed over 2 years ago

doesn't work

Francesco N. · Reviewed over 2 years 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 over 2 years ago