关于“Serverless Data Processing with Dataflow - CI/CD with Dataflow”的评价
4545 条评价
Simone G. · 已于 11 months前审核
Lots of commands not working on this lab! test_work_count DAG keeps failing. I'm assuming because of incorrect region which should be asia-east1 instead of us-central1. I made sure I run all the commands to set up the region and zone variables to asia-east1 but not sure why region is incorrect in the jar file. Running command: java -jar /tmp/tmpjnvtv59_dataflow_deployment_106c05a3-bb57-41d1-b2ee-386581a6109b.jar --runner=DataflowRunner --project=qwiklabs-gcp-00-436813f80158 --zone=asia-east1-a --region=us-central1 --stagingLocation=gs://qwiklabs-gcp-00-436813f80158-dataflow-staging-test/staging --jobName=wordcount-run-081da930 --autoscalingAlgorithm=THROUGHPUT_BASED --maxNumWorkers=3 --inputFile=gs://qwiklabs-gcp-00-436813f80158-composer-input-test/input.txt --output=gs://qwiklabs-gcp-00-436813f80158-composer-result-test/output '--labels={"airflow-version":"v2-10-2-composer"}'
Oscar F. · 已于 11 months前审核
Puneet P. · 已于 11 months前审核
end
Karthik C. · 已于 11 months前审核
Kevin A. · 已于 11 months前审核
Ashwani Kumar S. · 已于 11 months前审核
Jesus C. · 已于 11 months前审核
Karthik C. · 已于 11 months前审核
Alok P. · 已于 11 months前审核
Yitshak S. · 已于 11 months前审核
Yitshak S. · 已于 11 months前审核
there is a error in the scripts for this lab, the region is supposed to be us-east4 but in the dag pipeline the region automatically switches to us-central-1 which is causing the build to fail and i am unable to complete the lab. Fix this ASAP!!!!!
Raheel K. · 已于 11 months前审核
This is possibly the worst lab i have ever encountered. The commands here dont even work
Raheel K. · 已于 11 months前审核
Yitshak S. · 已于 11 months前审核
Unable to finish the lap, due to the location constraint. The airflows runs the dag in us-central which is forbidden. Even though the env variables were set to us-east
Dominik P. · 已于 11 months前审核
NA
Namachivayam R. · 已于 11 months前审核
Tim R. · 已于 11 months前审核
Ciprian N. · 已于 11 months前审核
Tyarani Puspa P. · 已于 11 months前审核
no funciona , sale errores
Salvador A. · 已于 11 months前审核
Christian P. · 已于 11 months前审核
Mauricio R. · 已于 11 months前审核
We really need better time estimates for some of these build tasks and runs. It didn't take 15 minutes, it took close to 30. The runs didn't take "3 to 5 minutes", they took close to 15.
Nicholas H. · 已于 11 months前审核
eric s. · 已于 12 months前审核
Joseph Amirtha Jones C. · 已于 12 months前审核
我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。