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feat: added dataproc workflows samples (#3056)
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* Added workflows sample
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bradmiro authored Mar 24, 2020
1 parent f358fbe commit 373789e
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98 changes: 98 additions & 0 deletions dataproc/instantiate_inline_workflow_template.py
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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.

# 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}

import sys
# [START dataproc_instantiate_inline_workflow_template]
from google.cloud import dataproc_v1 as dataproc


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.
"""

# 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)}
)

parent = workflow_template_client.region_path(project_id, region)

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'
}
}
}
}
}

# Submit the request to instantiate the workflow from an inline template.
operation = workflow_template_client.instantiate_inline_workflow_template(
parent, template
)
operation.result()

# Output a success message.
print('Workflow ran successfully.')
# [END dataproc_instantiate_inline_workflow_template]


if __name__ == "__main__":
instantiate_inline_workflow_template(sys.argv[1], sys.argv[2])
31 changes: 31 additions & 0 deletions dataproc/instantiate_inline_workflow_template_test.py
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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.

import os

import instantiate_inline_workflow_template


PROJECT_ID = os.environ['GCLOUD_PROJECT']
REGION = 'us-central1'


def test_workflows(capsys):
# Wrapper function for client library function
instantiate_inline_workflow_template.instantiate_inline_workflow_template(
PROJECT_ID, REGION
)

out, _ = capsys.readouterr()
assert "successfully" in out

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