关于“使用 Serverless for Apache Spark 將資料載入 BigQuery”的评价
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麗奈 谷. · 评论over 1 year之前
Thank you so much!
J JESUS G. · 评论over 1 year之前
Juan C. · 评论over 1 year之前
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. · 评论over 1 year之前
sandeep s. · 评论over 1 year之前
Jason M. · 评论over 1 year之前
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. · 评论over 1 year之前
trevor a. · 评论over 1 year之前
Murilo S. · 评论over 1 year之前
Sergiu D. · 评论over 1 year之前
Thanks Google
Wisdom K. · 评论over 1 year之前
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. · 评论over 1 year之前
Kirit C. · 评论over 1 year之前
there are some errors - just re-try after 2-3 mins
Tomasz M. · 评论over 1 year之前
Maitreyee R. · 评论over 1 year之前
Dawid G. · 评论over 1 year之前
Dmitry P. · 评论over 1 year之前
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. · 评论over 1 year之前
rida l. · 评论over 1 year之前
Priyambada S. · 评论over 1 year之前
Creative P. · 评论over 1 year之前
abdelhay h. · 评论over 1 year之前
Ujjal P. · 评论over 1 year之前
Raj V. · 评论over 1 year之前
Babita K. · 评论over 1 year之前
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