关于“Running Apache Spark jobs on Cloud Dataproc”的评价

Chamoun S. · 评论over 3 years之前

José C. · 评论over 3 years之前

Oscar Andres V. · 评论over 3 years之前

Rustem S. · 评论over 3 years之前

Job I entered is not running

Meenakshi L. · 评论over 3 years之前

Shireesh R. · 评论over 3 years之前

Vijayasarathy A. · 评论over 3 years之前

Daniel M. · 评论over 3 years之前

Jing C. · 评论over 3 years之前

Shivakumar A. · 评论over 3 years之前

Yogesh P. · 评论over 3 years之前

SIVA T. · 评论over 3 years之前

Joel D. · 评论over 3 years之前

Excelent! Only bugs final steps. When i execute cloud shell code.

Alfonso Gustavo Q. · 评论over 3 years之前

Felipe T. · 评论over 3 years之前

Delano L. · 评论over 3 years之前

Ritu B. · 评论over 3 years之前

personally I find this very boring, but other than that very good lab

Luis A. · 评论over 3 years之前

Esra K. · 评论over 3 years之前

todo bien

Consultor E. · 评论over 3 years之前

Federico S. · 评论over 3 years之前

Dávid G. · 评论over 3 years之前

Aleksandr K. · 评论over 3 years之前

This is not clear and could use an image. I believe I followed the right instructions but did not see a change in the output report. Navigate to your storage bucket and note that the output report, /sparktodp/report.png has an updated time-stamp indicating that the stand-alone job has completed successfully. The storage bucket used by this Job for input and output data storage is the bucket that is used just the Project ID as the name.

Alexandre M. · 评论over 3 years之前