리뷰 Dataflow 작업에 대한 IAM 및 네트워킹 설정개

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Mal W. · 거의 4년 전에 리뷰됨

File "/usr/lib/python3.9/runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/lib/python3.9/runpy.py", line 87, in _run_code exec(code, run_globals) File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/examples/wordcount.py", line 103, in <module> run() File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/examples/wordcount.py", line 98, in run output | 'Write' >> WriteToText(known_args.output) File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/pipeline.py", line 596, in __exit__ self.result = self.run() File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/pipeline.py", line 546, in run return Pipeline.from_runner_api( File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/pipeline.py", line 573, in run return self.runner.run_pipeline(self, self._options) File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/runners/dataflow/dataflow_runner.py", line 582, in run_pipeline self.dataflow_client.create_job(self.job), self) File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/utils/retry.py", line 253, in wrapper return fun(*args, **kwargs) File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/runners/dataflow/internal/apiclient.py", line 724, in create_job self.create_job_description(job) File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/runners/dataflow/internal/apiclient.py", line 822, in create_job_description job.proto.environment = Environment( File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/runners/dataflow/internal/apiclient.py", line 184, in __init__ _verify_interpreter_version_is_supported(options) File "/home/student_04_ceb375744f38/df-env/lib/python3.9/site-packages/apache_beam/runners/dataflow/internal/apiclient.py", line 1272, in _verify_interpreter_version_is_supported raise Exception(

Tristan T. · 거의 4년 전에 리뷰됨

ROHIT P. · 거의 4년 전에 리뷰됨

Ashish S. · 거의 4년 전에 리뷰됨

Had to go off trails with --experiment use_unsupported_python_version Can't complete this lab with provided code. No time left to diagnose or correct packages. "Error syncing pod d3f2b51794d3fd272770f868250b1791 ("df-beamapp-student005a377216-02201449-5d9m-harness-5d9g_default(d3f2b51794d3fd272770f868250b1791)"), skipping: failed to "StartContainer" for "python" with CrashLoopBackOff: "back-off 10s restarting failed container=python pod=df-beamapp-student005a377216-02201449-5d9m-harness-5d9g_default(d3f2b51794d3fd272770f868250b1791)""

Jordon M. · 거의 4년 전에 리뷰됨

Catarina D. · 거의 4년 전에 리뷰됨

Balaram D. · 거의 4년 전에 리뷰됨

Sourav S. · 거의 4년 전에 리뷰됨

The lab instructions do not play well with Python 3.9, which is the default for the Cloud Shell at the moment. The Dataflow job failed twice and the lab time ran out on my third attempt.

Mohamed A. · 거의 4년 전에 리뷰됨

Please note the Labs seems to be intended for Python version 3.7, but most of the labs that are currently running are using Python 3.9 Version which are not compatible and fail, So we need to give this --experiment use_unsupported_python_version to avoid failures. It would be good to have this updated in the Labs... but a good learning experience that I wanted to share.

Krishna V. · 거의 4년 전에 리뷰됨

Not working the code provided

Souvik B. · 거의 4년 전에 리뷰됨

This lab use python3.9 but dataflow can run only 3.6 - 3.8 . Then I can't run this lab.

Chittanutchote W. · 거의 4년 전에 리뷰됨

H F. · 거의 4년 전에 리뷰됨

Python version in lab does not correspond to the one needed for Dataflow SDK. Tried to launch the job using command line parameter : --experiment use_unsupported_python_version But the job later crashes repeatedly on kubelet error : "Error syncing pod d3f2b51794d3fd272770f868250b1791 ("df-beamapp-student0059c260e1-02180722-gtoz-harness-hqlc_default(d3f2b51794d3fd272770f868250b1791)"), skipping: failed to "StartContainer" for "python" with CrashLoopBackOff: "back-off 10s restarting failed container=python pod=df-beamapp-student0059c260e1-02180722-gtoz-harness-hqlc_default(d3f2b51794d3fd272770f868250b1791)""

Christophe S. · 거의 4년 전에 리뷰됨

Javier M. · 거의 4년 전에 리뷰됨

Javier M. · 거의 4년 전에 리뷰됨

Error Default python version is 3.9.x but apache-beam[gcp] only support 3.8.x

Robin J. · 거의 4년 전에 리뷰됨

Sachin K. · 거의 4년 전에 리뷰됨

Md S. · 거의 4년 전에 리뷰됨

The version of Python is 3.9 and I got errors that says I need 3.8 and I could not install it, so I was not able to complete the lab. Please fix this.

Jean-Sébastien P. · 거의 4년 전에 리뷰됨

Alceu D. · 거의 4년 전에 리뷰됨

Jagdeep S. · 거의 4년 전에 리뷰됨

Pyhton 3.9 not supported. I am not able to finish the course!!!!!!

Hugo M. · 거의 4년 전에 리뷰됨

Bruno P. · 거의 4년 전에 리뷰됨

The wordcount job wouldn't run to completion. First issue was the python version mismatch, then it didn't run. I wasn't able to complete. I'll try again.

tim t. · 거의 4년 전에 리뷰됨