IssueTracker

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a)
Pass multiple jars and files as one wild card path when "gcloud dataproc jobs submit spark"

Cx would like to have the option to have is a central directory for all jars and files when creating a Dataproc cluster to have better readability. Currently passing this in seems to be too cluttered. All the jars are in the same bucket

According to our public documentation [1], jars could be passed in as a list --jars=[JAR,…]. Files should work the same way. There is currently no working directory in which all of them could be in one place.


b)
Please update documentation for \ --id  for "gcloud dataproc jobs submit spark" under optional flags [2]
--id=<User defined unique ID for the job being submitted>

[1] https://cloud.google.com/sdk/gcloud/reference/dataproc/jobs/submit/spark
[2] https://cloud.google.com/sdk/gcloud/reference/dataproc/jobs/submit/spark