Use Serverless for Apache Spark to Load BigQuery Reviews

Daniele T. · Reviewed أكثر من سنة ago

Łukasz K. · Reviewed أكثر من سنة ago

Praveena K. · Reviewed أكثر من سنة ago

Good

Franco Elian S. · Reviewed أكثر من سنة ago

Amada Benedicta B. · Reviewed أكثر من سنة ago

Bhagavan M. · Reviewed أكثر من سنة ago

敬源黃. · Reviewed أكثر من سنة 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 أكثر من سنة ago

Felipe C. · Reviewed أكثر من سنة ago

Marcelo Richard M. · Reviewed أكثر من سنة ago

Denever D. · Reviewed أكثر من سنة ago

Siddhesh B. · Reviewed أكثر من سنة ago

Philip C. · Reviewed أكثر من سنة ago

Validating was extremely slow

Kyle W. · Reviewed أكثر من سنة ago

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

Kartik R. · Reviewed أكثر من سنة ago

Paola C. · Reviewed أكثر من سنة 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 أكثر من سنة ago

Vitalii L. · Reviewed أكثر من سنة ago

govind l. · Reviewed أكثر من سنة ago

PIRAVI P. · Reviewed أكثر من سنة 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.

Asad J. · Reviewed أكثر من سنة ago

Gabriela K. · Reviewed أكثر من سنة ago

Fabian E. · Reviewed أكثر من سنة ago

Oscar C. · Reviewed أكثر من سنة ago