Use Serverless for Apache Spark to Load BigQuery avis

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

Adaeze A. · Examiné il y a environ un an

Javier V. · Examiné il y a environ un an

Lars L. · Examiné il y a environ un an

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Arabind M. · Examiné il y a environ un an

Noguchi M. · Examiné il y a environ un an

Edward K. · Examiné il y a environ un an

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. · Examiné il y a environ un an

Beini W. · Examiné il y a environ un an

Ronald Alberto R. · Examiné il y a environ un an

Antonio B. · Examiné il y a environ un an

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. · Examiné il y a environ un an

na

Lipsita N. · Examiné il y a environ un an

julian c. · Examiné il y a environ un an

William L. · Examiné il y a environ un an

"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. · Examiné il y a environ un an

faced that max-workers on region lower that submit config

Alexander L. · Examiné il y a environ un an

Gaurang R. · Examiné il y a environ un an

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Virtualmente Italia s. · Examiné il y a environ un an

Satyam S. · Examiné il y a environ un an

Priyanka P. · Examiné il y a environ un an

nice

NIVASH A. · Examiné il y a environ un an