关于“使用 Serverless for Apache Spark 加载 BigQuery”的评价

Marcos G. · 已于 about 1 year前审核

Javier C. · 已于 about 1 year前审核

Joel V. · 已于 about 1 year前审核

lab takes a while to register that I've completed the step

Adaeze A. · 已于 about 1 year前审核

Javier V. · 已于 about 1 year前审核

Lars L. · 已于 about 1 year前审核

Christopher M. · 已于 about 1 year前审核

Jorge M. · 已于 about 1 year前审核

Arnaud M. · 已于 about 1 year前审核

Arabind M. · 已于 about 1 year前审核

Noguchi M. · 已于 about 1 year前审核

Edward K. · 已于 about 1 year前审核

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. · 已于 about 1 year前审核

Beini W. · 已于 about 1 year前审核

Ronald Alberto R. · 已于 about 1 year前审核

Antonio B. · 已于 about 1 year前审核

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. · 已于 about 1 year前审核

na

Lipsita N. · 已于 about 1 year前审核

julian c. · 已于 about 1 year前审核

William L. · 已于 about 1 year前审核

"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. · 已于 about 1 year前审核

faced that max-workers on region lower that submit config

Alexander L. · 已于 about 1 year前审核

Gaurang R. · 已于 about 1 year前审核

Mohamed A. · 已于 about 1 year前审核

Virtualmente Italia s. · 已于 about 1 year前审核