关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

don't have enough resources to create pipeline

Anatolii L. · 评论12 days之前

Ramkrishna S. · 评论12 days之前

Again, resources exhausted. THIS IS IMPOSSIBLE!!!!

Alejandro C. · 评论12 days之前

just did not work, the workers for dataflow where not working as expected

Christian . · 评论12 days之前

Mainak C. · 评论13 days之前

Andra I. · 评论14 days之前

Can't get resource for DataflowRunner

Daniel R. · 评论14 days之前

Rasmus J. · 评论15 days之前

BECI J. · 评论15 days之前

Even the solution did not run

Philip H. · 评论15 days之前

Endless problems when it come to running dataflow jobs regard the zones and workers

Hamza A. · 评论16 days之前

buggy

Saurav V. · 评论16 days之前

swamiraj G. · 评论16 days之前

Ángel G. · 评论16 days之前

vicente b. · 评论17 days之前

Abdullah A. · 评论17 days之前

Judit S. · 评论18 days之前

Too much confuse the Python file and Instructions were not clear to proceed and modify the files.

Venkateswarlu Kuriseti N. · 评论18 days之前

BRUNO S. · 评论18 days之前

Bruno Cruz V. · 评论19 days之前

Again the same issue of resource - the lab instructions dictate the zone to use but then it fails: Startup of the worker pool in us-central1 failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED: Instance 'mydataflow2-03130737-ze4v-harness-jztx' creation failed: The zone 'projects/qwiklabs-gcp-04-40321312d8fd/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later. So how are we supposed to finish the lab??????????????

James C. · 评论19 days之前

Again unable to finish. Errocode: Not enough workers (I needed only 2?) in the region.

Nikolas R. · 评论19 days之前

Jagadish B. · 评论19 days之前

Ismael F. · 评论19 days之前

confusing instructions not matching the environment not enough resources regardless of daytime to complete the lab

S E. · 评论19 days之前