Usar o Serverless para Apache Spark ao carregar o BigQuery avaliações

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Adaeze A. · Revisado há about 1 year

Javier V. · Revisado há about 1 year

Lars L. · Revisado há about 1 year

Christopher M. · Revisado há about 1 year

Jorge M. · Revisado há about 1 year

Arnaud M. · Revisado há about 1 year

Arabind M. · Revisado há about 1 year

Noguchi M. · Revisado há about 1 year

Edward K. · Revisado há about 1 year

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. · Revisado há about 1 year

Beini W. · Revisado há about 1 year

Ronald Alberto R. · Revisado há about 1 year

Antonio B. · Revisado há about 1 year

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. · Revisado há about 1 year

na

Lipsita N. · Revisado há about 1 year

julian c. · Revisado há about 1 year

William L. · Revisado há about 1 year

"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. · Revisado há about 1 year

faced that max-workers on region lower that submit config

Alexander L. · Revisado há about 1 year

Gaurang R. · Revisado há about 1 year

Mohamed A. · Revisado há about 1 year

Virtualmente Italia s. · Revisado há about 1 year

Satyam S. · Revisado há about 1 year

Priyanka P. · Revisado há about 1 year

nice

NIVASH A. · Revisado há about 1 year