Use Serverless for Apache Spark to Load BigQuery Reviews

14065 reviews

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Adaeze A. · Reviewed около 1 года ago

Javier V. · Reviewed около 1 года ago

Lars L. · Reviewed около 1 года ago

Christopher M. · Reviewed около 1 года ago

Jorge M. · Reviewed около 1 года ago

Arnaud M. · Reviewed около 1 года ago

Arabind M. · Reviewed около 1 года ago

Noguchi M. · Reviewed около 1 года ago

Edward K. · Reviewed около 1 года ago

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. · Reviewed около 1 года ago

Beini W. · Reviewed около 1 года ago

Ronald Alberto R. · Reviewed около 1 года ago

Antonio B. · Reviewed около 1 года ago

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. · Reviewed около 1 года ago

na

Lipsita N. · Reviewed около 1 года ago

julian c. · Reviewed около 1 года ago

William L. · Reviewed около 1 года ago

"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. · Reviewed около 1 года ago

faced that max-workers on region lower that submit config

Alexander L. · Reviewed около 1 года ago

Gaurang R. · Reviewed около 1 года ago

Mohamed A. · Reviewed около 1 года ago

Virtualmente Italia s. · Reviewed около 1 года ago

Satyam S. · Reviewed около 1 года ago

Priyanka P. · Reviewed около 1 года ago

nice

NIVASH A. · Reviewed около 1 года ago

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