Opinie (Use Serverless for Apache Spark to Load BigQuery)

Noguchi M. · Sprawdzono ponad rok temu

Edward K. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

Beini W. · Sprawdzono ponad rok temu

Ronald Alberto R. · Sprawdzono ponad rok temu

Antonio B. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

na

Lipsita N. · Sprawdzono ponad rok temu

julian c. · Sprawdzono ponad rok temu

William L. · Sprawdzono ponad rok temu

"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. · Sprawdzono ponad rok temu

faced that max-workers on region lower that submit config

Alexander L. · Sprawdzono ponad rok temu

Gaurang R. · Sprawdzono ponad rok temu

Mohamed A. · Sprawdzono ponad rok temu

Virtualmente Italia s. · Sprawdzono ponad rok temu

Satyam S. · Sprawdzono ponad rok temu

Priyanka P. · Sprawdzono ponad rok temu

nice

NIVASH A. · Sprawdzono ponad rok temu

Gaetano F. · Sprawdzono ponad rok temu

nikhil vihar G. · Sprawdzono ponad rok temu

Yogesh M. · Sprawdzono ponad rok temu

nikhil vihar G. · Sprawdzono ponad rok temu

Humberto R. · Sprawdzono ponad rok temu

CESAR H. · Sprawdzono ponad rok temu

Norberto G. · Sprawdzono ponad rok temu