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

Dataflow job failing

Chinna Eswaraiah Y. · 评论over 3 years之前

Susmitha K. · 评论over 3 years之前

Sreekanth G. · 评论over 3 years之前

It's impossible to get a Dataflow job running in the labs! And last time I tried to re-run a job, my cloud skills boost account got blocked :(

Alejandro A. · 评论over 3 years之前

There is some Global issues with labs. This is waste of efforts as we need to complete the whole lag again.

Gaurav N. · 评论over 3 years之前

Error Apache Beam Python 3.7 SDK 2.27.0 This version of the SDK is deprecated and will eventually be unsupported.

Harold V. · 评论over 3 years之前

Ammar S. · 评论over 3 years之前

Check progress not working, resource problems

Alpár B. · 评论over 3 years之前

Although the status of the job is "Succeeded" the "Check my progress" button doesn't recognize.

Levente M. · 评论over 3 years之前

Tamás B. · 评论over 3 years之前

Mengxiao H. · 评论over 3 years之前

Tímea S. · 评论over 3 years之前

Job fails when run on DataFlow. $ python3 JavaProjectsThatNeedHelp.py --bucket $BUCKET --project $PROJECT --DataFlowRunner JavaProjectsThatNeedHelp.py:163: BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use ReadFromBigQuery instead. bigqcollection = p | 'ReadFromBQ' >> beam.io.Read(beam.io.BigQuerySource(project=project,query=get_java_query)) /usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/bigquery.py:1881: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported temp_location = pcoll.pipeline.options.view_as( WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.

Marco K. · 评论over 3 years之前

issues in the LAB

Abhijit K. · 评论over 3 years之前

Mengxiao H. · 评论over 3 years之前

keep have error in the data flow pipeline

Raven P. · 评论over 3 years之前

Even if I have successfully completed the Dataflow job , the status is not reflecting in the progress check.

Praveen P. · 评论over 3 years之前

some compilation issues are seen

Jayarama S. · 评论over 3 years之前

se siguen todas las instrucciones y no permite terminar el laboratorio correctamente

Bud J. · 评论over 3 years之前

Startup of the worker pool in zone us-central1-b 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 'javahelpjob-11230653-4lxp-harness-pmjt' creation failed: The zone 'projects/qwiklabs-gcp-01-490e0da52d4e/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.

Tomasz F. · 评论over 3 years之前

MANGESH S. · 评论over 3 years之前

Praveen P. · 评论over 3 years之前

Prasangi M. · 评论over 3 years之前

Sakina S. · 评论over 3 years之前

子瑜 Bob Lien 練. · 评论over 3 years之前