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

Javier V. · 评论about 1 year之前

Lars L. · 评论about 1 year之前

Christopher M. · 评论about 1 year之前

Jorge M. · 评论about 1 year之前

Arnaud M. · 评论about 1 year之前

Arabind M. · 评论about 1 year之前

Noguchi M. · 评论about 1 year之前

Edward K. · 评论about 1 year之前

As a beginner in the world of Date Engineering on GCP, I struggle to understand the point of Dataproc in this lab. Also, I wanted to let you new that during the spark execute command I got the following error a couple of times. After the third try, it worked: 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. Running auto diagnostics on the batch. It may take few minutes before diagnostics output is available. Please check diagnostics output by running 'gcloud dataproc batches describe' command.

Andrea T. · 评论about 1 year之前

Beini W. · 评论about 1 year之前

Ronald Alberto R. · 评论about 1 year之前

Antonio B. · 评论about 1 year之前

I see opportunities to improve this quick lab: 1) The lab is missing one step which is granting permissions to get the dataproc cluster. I've got the following error message in the VM while executing the batch job: ```` ERROR: (gcloud.beta.dataproc.batches.submit.pyspark) Batch job is FAILED. Detail: Multiple Errors: - Failed to fetch cluster for batch - Permission 'dataproc.clusters.get' denied on resource '//dataproc.googleapis.com/projects/qwiklabs-gcp-00-c467d66f6efc/regions/us-east4/clusters/srvls-batch-1b1a8482-374f-4c44-83d7-6bc417531bed' (or it may not exist). ``` Fortunatelly I was able to figure it out through IAM permissions configuration, but the lab does not provide that guidance. 2) It can be out of scope for a lab, but I think somehow it lacks the explanation for what use cases this solution would be preferred over other ones.

Caio L. · 评论about 1 year之前

na

Lipsita N. · 评论about 1 year之前

julian c. · 评论about 1 year之前

William L. · 评论about 1 year之前

"Download these files, click that button, and stuff will happen". That's a summary for this lab. I never worked with Spark before, and I learnt nothing from this lab. It doesn't force you to review what you downloaded, or write you're own transformation (this is an ETL module after all). Additionally, it returned an error the first time I executed the Spark code. With no changes at all, it ran ok the second time.

Pau B. · 评论about 1 year之前

faced that max-workers on region lower that submit config

Alexander L. · 评论about 1 year之前

Gaurang R. · 评论about 1 year之前

Mohamed A. · 评论about 1 year之前

Virtualmente Italia s. · 评论about 1 year之前

Satyam S. · 评论about 1 year之前

Priyanka P. · 评论about 1 year之前

nice

NIVASH A. · 评论about 1 year之前

Gaetano F. · 评论about 1 year之前