关于“Continuous Training Pipelines with Cloud Composer”的评价

Issues with running the dag cause, run variables is not supported

Daniel F. · 评论over 1 year之前

this task is impossible to be done. the code deosnt work: Invalid image version: 'composer-1.20.8-airflow-1.10.15' derived based on your input: 'composer-1.20.8-airflow-1.10.15'. Currently suggested new environment image versions are: [composer-3-airflow-2.9.1, composer-3-airflow-2.7.3, composer-2.8.7-airflow-2.9.1, composer-2.8.7-airflow-2.7.3, composer-2.8.7-airflow-2.6.3] but when the suggested version is used: (gcloud.composer.environments.create) Cannot specify --python-version with Composer 2.X or greater

ulfa o. · 评论over 1 year之前

Abhishek V. · 评论over 1 year之前

can't run the cloud composer. this needs update

ulfa o. · 评论over 1 year之前

not use why can't get the project list

ulfa o. · 评论over 1 year之前

composer doesn't work, impossible to finish. error: Invalid image version: 'composer-1.20.8-airflow-1.10.15' derived based on your input: 'composer-1.20.8-airflow-1.10.15'. Currently suggested new environment image versions are: [composer-3-airflow-2.9.1, composer-3-airflow-2.7.3, composer-2.8.7-airflow-2.9.1, composer-2.8.7-airflow-2.7.3, composer-2.8.7-airflow-2.6.3].

ulfa o. · 评论over 1 year之前

Invalid image version: 'composer-1.20.8-airflow-1.10.15' derived based on your input: 'composer-1.20.8-airflow-1.10.15'. Currently suggested new environment image versions are: [composer-3-airflow-2.9.1, composer-3-airflow-2.7.3, composer-2.8.7-airflow-2.9.1, composer-2.8.7-airflow-2.7.3, composer-2.8.7-airflow-2.6.3]. when changed to airflow 2x, Cannot specify --python-version with Composer 2.X or greater.

ulfa o. · 评论over 1 year之前

totally deprecated

Pablo V. · 评论over 1 year之前

airflow had error when firstly installed. then after updating it with the advised version, the code didn't recognize the airflow ver.

ulfa o. · 评论over 1 year之前

ModuleNotFoundError: No module named 'airflow'

ulfa o. · 评论over 1 year之前

ERROR: (gcloud.composer.environments.create) INVALID_ARGUMENT: Found 1 problem: 1) Invalid image version: 'composer-1.20.8-airflow-1.10.15' derived based on your input: 'composer-1.20.8-airflow-1.10.15'. Currently suggested new environment image versions are: [composer-3-airflow-2.9.1, composer-3-airflow-2.7.3, composer-2.8.6-airflow-2.9.1, composer-2.8.6-airflow-2.7.3, composer-2.8.6-airflow-2.6.3]. ERROR: (gcloud.composer.environments.create) Cannot specify --python-version with Composer 2.X or greater.

Charles L. · 评论over 1 year之前

The lab needs to be fixed. The Jupyter Notebook instance build gives and error, and fails to build.

Jake B. · 评论over 1 year之前

Kai Nang K. · 评论over 1 year之前

the airflow dag has outdated code

Agam B. · 评论over 1 year之前

Armin M. · 评论over 1 year之前

Armin M. · 评论over 1 year之前

Armin M. · 评论over 1 year之前

Attempting to create cloud composer environment fails with error: ERROR: (gcloud.composer.environments.create) INVALID_ARGUMENT: Found 1 problem: 1) Invalid image version: 'composer-1.20.8-airflow-1.10.15' derived based on your input: 'composer-1.20.8-airflow-1.10.15'. Currently suggested new environment image versions are: [composer-3-airflow-2.9.1, composer-3-airflow-2.7.3, composer-2.8.7-airflow-2.9.1, composer-2.8.7-airflow-2.7.3, composer-2.8.7-airflow-2.6.3].

Badr T. · 评论over 1 year之前

Hanbyul C. · 评论over 1 year之前

PROBLEMS WITH CREATING DEMO-ENVIRONMENT AND DAG VARIABLES ISSUES IN COMPOSER. BROKEN DAGS. NO SOLUTION IN SIGTHT

syed n. · 评论over 1 year之前

in this code gcloud composer environments create demo-environment \ --location $REGION \ --zone $ZONE \ --python-version 3 \ --image-version composer-1.20.8-airflow-1.10.15 there is an error because of composer version, so it's impossibile to go on with the lab. Also in this case it's impossible to finish the lab. Very disappointing lab as the other labs of this course.

francesco t. · 评论over 1 year之前

PROBLEMS WITH CRREATING DEMO-ENVIRONMENT AND DAG VARIABLES ISSUES IN COMPOSER

syed n. · 评论over 1 year之前

syed n. · 评论over 1 year之前

dag import errors

ronan m. · 评论over 1 year之前

Broken lab. I tried to solve it with another environment version --> bad dag.

Iván R. · 评论over 1 year之前