关于“Serverless Data Processing with Dataflow - Using Dataflow for Streaming Analytics (Python)”的评价

amada b. · 已于 over 3 years前审核

Harish P. · 已于 over 3 years前审核

Jack L. · 已于 over 3 years前审核

Carlos Henrique M. · 已于 over 3 years前审核

Tomás Arturo N. · 已于 over 3 years前审核

Purba M. · 已于 over 3 years前审核

Leonardo M. · 已于 over 3 years前审核

Sadeka I. · 已于 over 3 years前审核

Saju S. · 已于 over 3 years前审核

Thaneesh R. · 已于 over 3 years前审核

Jesús M. · 已于 over 3 years前审核

Oziel A. · 已于 over 3 years前审核

Christian P. · 已于 over 3 years前审核

Claire L. · 已于 over 3 years前审核

Adam S. · 已于 over 3 years前审核

Ricardo A. · 已于 over 3 years前审核

Diego G. · 已于 over 3 years前审核

Saju S. · 已于 over 3 years前审核

Diego G. · 已于 over 3 years前审核

Piotr F. · 已于 over 3 years前审核

Vaibhav G. · 已于 over 3 years前审核

yude t. · 已于 over 3 years前审核

Xinyu L. · 已于 over 3 years前审核

Rohan A. · 已于 over 3 years前审核

I found one problem. The following commands In Chapter "Introduce lag to streaming input" dose not work. ``` bash generat ``` I got the following error when runnig it, ``` (df-env) (base) jupyter@theia-20220828-142742:~/project/training-data-analyst/quests/dataflow_python$ bash generat bash: generat: No such file or directory ``` The script certainly didn't exist. Instead, I used the `use_lag` option in generate_streaming_events.sh. This is the log when the command is executed. ``` (df-env) (base) jupyter@theia-20220828-142742:~/project/training-data-analyst/quests/dataflow_python$ bash generate_streaming_events.sh true Installing packages Generating synthetic users Generating synthetic events Using lag ```

Yusuke S. · 已于 over 3 years前审核