Usar o Serverless para Apache Spark ao carregar o BigQuery avaliações

Noguchi M. · Revisado há over 1 year

Edward K. · Revisado há over 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 over 1 year

Beini W. · Revisado há over 1 year

Ronald Alberto R. · Revisado há over 1 year

Antonio B. · Revisado há over 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 over 1 year

na

Lipsita N. · Revisado há over 1 year

julian c. · Revisado há over 1 year

William L. · Revisado há over 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 over 1 year

faced that max-workers on region lower that submit config

Alexander L. · Revisado há over 1 year

Gaurang R. · Revisado há over 1 year

Mohamed A. · Revisado há over 1 year

Virtualmente Italia s. · Revisado há over 1 year

Satyam S. · Revisado há over 1 year

Priyanka P. · Revisado há over 1 year

nice

NIVASH A. · Revisado há over 1 year

Gaetano F. · Revisado há over 1 year

nikhil vihar G. · Revisado há over 1 year

Yogesh M. · Revisado há over 1 year

nikhil vihar G. · Revisado há over 1 year

Humberto R. · Revisado há over 1 year

CESAR H. · Revisado há over 1 year

Norberto G. · Revisado há over 1 year