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Minor dataproc fixes #316

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Apr 29, 2016
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2 changes: 1 addition & 1 deletion 2 dataproc/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ demonstrated here could also be accomplished using the Cloud Console or the gclo
`list_clusters.py` is a simple command-line program to demonstrate connecting to the
Dataproc API and listing the clusters in a ergion

`create_cluster_and_submit_jbo.py` demonstrates how to create a cluster, submit the
`create_cluster_and_submit_job.py` demonstrates how to create a cluster, submit the
`pyspark_sort.py` job, download the output from Google Cloud Storage, and output the result.

## Prerequisites to run locally:
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1 change: 0 additions & 1 deletion 1 dataproc/create_cluster_and_submit_job.py
Original file line number Diff line number Diff line change
Expand Up @@ -166,7 +166,6 @@ def wait_for_job(dataproc, project, job_id):
jobId=job_id).execute()
# Handle exceptions
if result['status']['state'] == 'ERROR':
print(result)
raise Exception(result['status']['details'])
elif result['status']['state'] == 'DONE':
print('Job finished')
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