关于“Serverless Data Analysis with Dataflow: Side Inputs (Python)”的评价

Óscar H. · 评论about 3 years之前

Kevin R. · 评论about 3 years之前

Tulio B. · 评论about 3 years之前

Hizo todo pero por alguna razon no ejecuto la canalizacion

Consultor E. · 评论about 3 years之前

Chandima G. · 评论about 3 years之前

Jeremy T. · 评论about 3 years之前

1) There's no more ToLines in the code. 2) Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. I should start charging for these reviews...

Miguel C. · 评论about 3 years之前

Omkar K. · 评论about 3 years之前

Darko M. · 评论about 3 years之前

The lab doesent work correctly and I get bad score for an esternal tecnical issue with gcp

Lina M. · 评论about 3 years之前

Instructions keep saying to go to "Cloud Storage > Browser" but Browser isn't an option. Please update accordingly.

Brock M. · 评论about 3 years之前

last command does not work for me

Wojciech S. · 评论about 3 years之前

Radovan S. · 评论about 3 years之前

Vijayakumar P. · 评论about 3 years之前

Even following everything to the T, lab still fails

Sukhleen K. · 评论about 3 years之前

Nikhil M. · 评论about 3 years之前

Kangkan B. · 评论about 3 years之前

when I do this step "python3 JavaProjectsThatNeedHelp.py --bucket $BUCKET --project $PROJECT --DataFlowRunner" can't be finish

育安 Steven Lin 林. · 评论about 3 years之前

Anup B. · 评论about 3 years之前

1. Edit JavaProjectsThatNeedHelp.py 2. Add '--zone=us-central1-c' The zone value will depend on your qwiklabs resources. These steps will help you to finish this lab. Below is the example. argv = [ '--project={0}'.format(project), '--job_name=javahelpjob', '--save_main_session', '--staging_location=gs://{0}/staging/'.format(bucket), '--temp_location=gs://{0}/staging/'.format(bucket), '--runner={0}'.format(runner), '--region=us-central1', '--zone=us-central1-c', '--max_num_workers=5' ]

Robby H. · 评论about 3 years之前

Bluetab Solutions M. · 评论about 3 years之前

Had to customise the worker_zone to us-central1-c to get the workers to start

James M. · 评论about 3 years之前

Rafael O. · 评论about 3 years之前