关于“使用 Serverless for Apache Spark 將資料載入 BigQuery”的评价

Daniele T. · 评论over 1 year之前

Łukasz K. · 评论over 1 year之前

Praveena K. · 评论over 1 year之前

Good

Franco Elian S. · 评论over 1 year之前

Amada Benedicta B. · 评论over 1 year之前

Bhagavan M. · 评论over 1 year之前

敬源黃. · 评论over 1 year之前

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. · 评论over 1 year之前

Felipe C. · 评论over 1 year之前

Marcelo Richard M. · 评论over 1 year之前

Denever D. · 评论over 1 year之前

Siddhesh B. · 评论over 1 year之前

Philip C. · 评论over 1 year之前

Validating was extremely slow

Kyle W. · 评论over 1 year之前

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

Kartik R. · 评论over 1 year之前

Paola C. · 评论over 1 year之前

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. · 评论over 1 year之前

Vitalii L. · 评论over 1 year之前

govind l. · 评论over 1 year之前

PIRAVI P. · 评论over 1 year之前

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. · 评论over 1 year之前

Gabriela K. · 评论over 1 year之前

Fabian E. · 评论over 1 year之前

Oscar C. · 评论over 1 year之前