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feat: added dataproc workflows samples (#3056)
* Added workflows sample
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# Copyright 2020 Google LLC | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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# This sample walks a user through instantiating an inline | ||
# workflow for Cloud Dataproc using the Python client library. | ||
# | ||
# This script can be run on its own: | ||
# python workflows.py ${PROJECT_ID} ${REGION} | ||
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import sys | ||
# [START dataproc_instantiate_inline_workflow_template] | ||
from google.cloud import dataproc_v1 as dataproc | ||
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def instantiate_inline_workflow_template(project_id, region): | ||
"""This sample walks a user through submitting a workflow | ||
for a Cloud Dataproc using the Python client library. | ||
Args: | ||
project_id (string): Project to use for running the workflow. | ||
region (string): Region where the workflow resources should live. | ||
""" | ||
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# Create a client with the endpoint set to the desired region. | ||
workflow_template_client = dataproc.WorkflowTemplateServiceClient( | ||
client_options={ | ||
'api_endpoint': '{}-dataproc.googleapis.com:443'.format(region)} | ||
) | ||
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parent = workflow_template_client.region_path(project_id, region) | ||
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template = { | ||
'jobs': [ | ||
{ | ||
'hadoop_job': { | ||
'main_jar_file_uri': 'file:///usr/lib/hadoop-mapreduce/' | ||
'hadoop-mapreduce-examples.jar', | ||
'args': [ | ||
'teragen', | ||
'1000', | ||
'hdfs:///gen/' | ||
] | ||
}, | ||
'step_id': 'teragen' | ||
}, | ||
{ | ||
'hadoop_job': { | ||
'main_jar_file_uri': 'file:///usr/lib/hadoop-mapreduce/' | ||
'hadoop-mapreduce-examples.jar', | ||
'args': [ | ||
'terasort', | ||
'hdfs:///gen/', | ||
'hdfs:///sort/' | ||
] | ||
}, | ||
'step_id': 'terasort', | ||
'prerequisite_step_ids': [ | ||
'teragen' | ||
] | ||
}], | ||
'placement': { | ||
'managed_cluster': { | ||
'cluster_name': 'my-managed-cluster', | ||
'config': { | ||
'gce_cluster_config': { | ||
# Leave 'zone_uri' empty for 'Auto Zone Placement' | ||
# 'zone_uri': '' | ||
'zone_uri': 'us-central1-a' | ||
} | ||
} | ||
} | ||
} | ||
} | ||
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# Submit the request to instantiate the workflow from an inline template. | ||
operation = workflow_template_client.instantiate_inline_workflow_template( | ||
parent, template | ||
) | ||
operation.result() | ||
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# Output a success message. | ||
print('Workflow ran successfully.') | ||
# [END dataproc_instantiate_inline_workflow_template] | ||
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if __name__ == "__main__": | ||
instantiate_inline_workflow_template(sys.argv[1], sys.argv[2]) |
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# Copyright 2020 Google LLC | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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import os | ||
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import instantiate_inline_workflow_template | ||
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PROJECT_ID = os.environ['GCLOUD_PROJECT'] | ||
REGION = 'us-central1' | ||
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def test_workflows(capsys): | ||
# Wrapper function for client library function | ||
instantiate_inline_workflow_template.instantiate_inline_workflow_template( | ||
PROJECT_ID, REGION | ||
) | ||
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out, _ = capsys.readouterr() | ||
assert "successfully" in out |