Use Serverless for Apache Spark to Load BigQuery Reviews
14197 reviews
Tomi A. · Reviewed أكثر من سنة ago
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麗奈 谷. · Reviewed أكثر من سنة ago
Thank you so much!
J JESUS G. · Reviewed أكثر من سنة ago
Juan C. · Reviewed أكثر من سنة ago
The below instruction could have been in little more detail. As I found dataproc identification tool not visible. Next, you're going to set a few environment variables into VM instance terminal and execute a Spark template to load data into BigQuery. Set the following environment variables for the Dataproc Serverless environment.
Sameer S. · Reviewed أكثر من سنة ago
sandeep s. · Reviewed أكثر من سنة ago
Jason M. · Reviewed أكثر من سنة ago
error when submitting spark job 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.
max s. · Reviewed أكثر من سنة ago
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Murilo S. · Reviewed أكثر من سنة ago
Sergiu D. · Reviewed أكثر من سنة ago
Thanks Google
Wisdom K. · Reviewed أكثر من سنة ago
Task 3.2 fails as the spark job needs additional IAM permissions to run the script. After adding the required permission the script passed without any issues. Lab needs to be updated with this additional step.
Vamshi K. · Reviewed أكثر من سنة ago
Kirit C. · Reviewed أكثر من سنة ago
there are some errors - just re-try after 2-3 mins
Tomasz M. · Reviewed أكثر من سنة ago
Maitreyee R. · Reviewed أكثر من سنة ago
Dawid G. · Reviewed أكثر من سنة ago
Dmitry P. · Reviewed أكثر من سنة ago
Task 3 check didn't work, but I was able to see the data in Task 4. Seems like something wrong with the check in Task 3.
Nick F. · Reviewed أكثر من سنة ago
rida l. · Reviewed أكثر من سنة ago
Priyambada S. · Reviewed أكثر من سنة ago
Creative P. · Reviewed أكثر من سنة ago
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