Use Serverless for Apache Spark to Load BigQuery Reviews
14065 reviews
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Adaeze A. · Reviewed yaklaşık 1 yıl ago
Javier V. · Reviewed yaklaşık 1 yıl ago
Lars L. · Reviewed yaklaşık 1 yıl ago
Christopher M. · Reviewed yaklaşık 1 yıl ago
Jorge M. · Reviewed yaklaşık 1 yıl ago
Arnaud M. · Reviewed yaklaşık 1 yıl ago
Arabind M. · Reviewed yaklaşık 1 yıl ago
Noguchi M. · Reviewed yaklaşık 1 yıl ago
Edward K. · Reviewed yaklaşık 1 yıl 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 yaklaşık 1 yıl ago
Beini W. · Reviewed yaklaşık 1 yıl ago
Ronald Alberto R. · Reviewed yaklaşık 1 yıl ago
Antonio B. · Reviewed yaklaşık 1 yıl 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 yaklaşık 1 yıl ago
na
Lipsita N. · Reviewed yaklaşık 1 yıl ago
julian c. · Reviewed yaklaşık 1 yıl ago
William L. · Reviewed yaklaşık 1 yıl 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 yaklaşık 1 yıl ago
faced that max-workers on region lower that submit config
Alexander L. · Reviewed yaklaşık 1 yıl ago
Gaurang R. · Reviewed yaklaşık 1 yıl ago
Mohamed A. · Reviewed yaklaşık 1 yıl ago
Virtualmente Italia s. · Reviewed yaklaşık 1 yıl ago
Satyam S. · Reviewed yaklaşık 1 yıl ago
Priyanka P. · Reviewed yaklaşık 1 yıl ago
nice
NIVASH A. · Reviewed yaklaşık 1 yıl ago
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