Use Serverless for Apache Spark to Load BigQuery Reviews

I had to go add perms to my IAM role to continue the Spark code execution. Once completed, Task 3 would not validate my progress. Task 4 validated OK.

Patrick S. · Reviewed over 1 year ago

Aline Evelyn d. · Reviewed over 1 year ago

Paola C. · Reviewed over 1 year ago

Reginara M. · Reviewed over 1 year ago

Nice

Gopi T. · Reviewed over 1 year ago

David R. · Reviewed over 1 year ago

Dániel M. · Reviewed over 1 year ago

Daniele T. · Reviewed over 1 year ago

Daniele T. · Reviewed over 1 year ago

Łukasz K. · Reviewed over 1 year ago

Praveena K. · Reviewed over 1 year ago

Good

Franco Elian S. · Reviewed over 1 year ago

Amada Benedicta B. · Reviewed over 1 year ago

Bhagavan M. · Reviewed over 1 year ago

敬源 黃. · Reviewed over 1 year ago

1st run of code execution returned error: failed to create batch autoscaling policy and not authorized to requested resource. 2nd run of code execution was successful, but the confirmation in the lab did not work until refreshed around 5 times within 5 minutes.

Małgorzata M. · Reviewed over 1 year ago

Felipe C. · Reviewed over 1 year ago

Marcelo Richard M. · Reviewed over 1 year ago

Denever D. · Reviewed over 1 year ago

Siddhesh B. · Reviewed over 1 year ago

Philip C. · Reviewed over 1 year ago

Validating was extremely slow

Kyle W. · Reviewed over 1 year ago

job fails with insufficient number of servers (12 needed vs 11 available)

Kartik R. · Reviewed over 1 year ago

Paola C. · Reviewed over 1 year ago

ERROR: (gcloud.beta.dataproc.batches.submit.pyspark) Batch job is FAILED. Detail: Insufficient 'CPUS' quota. Requested 12.0, available 11.0. Your resource request exceeds your available quota. See https://cloud.google.com/compute/resource-usage. Use https://cloud.google.com/docs/quotas/view-manage#requesting_higher_quota to request additional quota.

Diego J. · Reviewed over 1 year ago