Use Serverless for Apache Spark to Load BigQuery Reviews
17050 reviews
Juveriya N. · Reviewed over 1 year ago
Ulu Kagan B. · Reviewed over 1 year ago
Bikramjit S. · Reviewed over 1 year ago
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Rim M. · Reviewed over 1 year ago
麗奈 谷. · Reviewed over 1 year ago
Thank you so much!
J JESUS G. · Reviewed over 1 year ago
Juan C. · Reviewed over 1 year 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 over 1 year ago
sandeep s. · Reviewed over 1 year ago
Jason M. · Reviewed over 1 year 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 over 1 year ago
trevor a. · Reviewed over 1 year ago
Murilo S. · Reviewed over 1 year ago
Sergiu D. · Reviewed over 1 year ago
Thanks Google
Wisdom K. · Reviewed over 1 year 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 over 1 year ago
Kirit C. · Reviewed over 1 year ago
there are some errors - just re-try after 2-3 mins
Tomasz M. · Reviewed over 1 year ago
Maitreyee R. · Reviewed over 1 year ago
Dawid G. · Reviewed over 1 year ago
Dmitry P. · Reviewed over 1 year 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 over 1 year ago
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