[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r432873891



##
File path: docs/howto/operator/gcp/dataproc.rst
##
@@ -0,0 +1,188 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you 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.
+
+Google Cloud Dataproc Operators
+===
+
+Dataproc is a managed Apache Spark and Apache Hadoop service that lets you
+take advantage of open source data tools for batch processing, querying, 
streaming and machine learning.
+Dataproc automation helps you create clusters quickly, manage them easily, and
+save money by turning clusters off when you don't need them.
+
+For more information about the service visit `Dataproc production 
documentation https://cloud.google.com/dataproc/docs/reference>`__
+
+.. contents::
+  :depth: 1
+  :local:
+
+Prerequisite Tasks
+--
+
+.. include:: _partials/prerequisite_tasks.rst
+
+
+.. _howto/operator:DataprocCreateClusterOperator:
+
+Create a Cluster
+
+
+Before you create a dataproc cluster you need to define the cluster.
+It describes the identifying information, config, and status of a cluster of 
Compute Engine instances.
+For more information about the available fields to pass when creating a 
cluster, visit `Dataproc create cluster API. 
`__
+
+A cluster configuration can look as followed:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster]
+:end-before: [END how_to_cloud_dataproc_create_cluster]
+
+With this configuration we can create the cluster:
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocCreateClusterOperator`
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_create_cluster_operator]
+
+Update a cluster
+
+You can scale the cluster up or down by providing a cluster config and a 
updateMask.
+In the updateMask argument you specifies the path, relative to Cluster, of the 
field to update.
+For more information on updateMask and other parameters take a look at 
`Dataproc update cluster API. 
`__
+
+An example of a new cluster config and the updateMask:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_updatemask_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_updatemask_cluster_operator]
+
+To update a cluster you can use:
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocUpdateClusterOperator`
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_update_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_update_cluster_operator]
+
+Deleting a cluster
+--
+
+To delete a cluster you can use:
+
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocDeleteClusterOperator`.
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_delete_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_delete_cluster_operator]
+
+Submit a job to a cluster
+-
+
+Dataproc supports submitting jobs of different big data components.
+The list currently includes Spark, Hadoop, Pig and Hive.
+For more information on versions and images take a look at `Cloud Dataproc 
Image version list 
`__
+
+To submit a job to the cluster you need a provide a job source 

[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r432873891



##
File path: docs/howto/operator/gcp/dataproc.rst
##
@@ -0,0 +1,188 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you 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.
+
+Google Cloud Dataproc Operators
+===
+
+Dataproc is a managed Apache Spark and Apache Hadoop service that lets you
+take advantage of open source data tools for batch processing, querying, 
streaming and machine learning.
+Dataproc automation helps you create clusters quickly, manage them easily, and
+save money by turning clusters off when you don't need them.
+
+For more information about the service visit `Dataproc production 
documentation https://cloud.google.com/dataproc/docs/reference>`__
+
+.. contents::
+  :depth: 1
+  :local:
+
+Prerequisite Tasks
+--
+
+.. include:: _partials/prerequisite_tasks.rst
+
+
+.. _howto/operator:DataprocCreateClusterOperator:
+
+Create a Cluster
+
+
+Before you create a dataproc cluster you need to define the cluster.
+It describes the identifying information, config, and status of a cluster of 
Compute Engine instances.
+For more information about the available fields to pass when creating a 
cluster, visit `Dataproc create cluster API. 
`__
+
+A cluster configuration can look as followed:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster]
+:end-before: [END how_to_cloud_dataproc_create_cluster]
+
+With this configuration we can create the cluster:
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocCreateClusterOperator`
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_create_cluster_operator]
+
+Update a cluster
+
+You can scale the cluster up or down by providing a cluster config and a 
updateMask.
+In the updateMask argument you specifies the path, relative to Cluster, of the 
field to update.
+For more information on updateMask and other parameters take a look at 
`Dataproc update cluster API. 
`__
+
+An example of a new cluster config and the updateMask:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_updatemask_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_updatemask_cluster_operator]
+
+To update a cluster you can use:
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocUpdateClusterOperator`
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_update_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_update_cluster_operator]
+
+Deleting a cluster
+--
+
+To delete a cluster you can use:
+
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocDeleteClusterOperator`.
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_delete_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_delete_cluster_operator]
+
+Submit a job to a cluster
+-
+
+Dataproc supports submitting jobs of different big data components.
+The list currently includes Spark, Hadoop, Pig and Hive.
+For more information on versions and images take a look at `Cloud Dataproc 
Image version list 
`__
+
+To submit a job to the cluster you need a provide a job source 

[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r432834157



##
File path: docs/howto/operator/gcp/dataproc.rst
##
@@ -0,0 +1,188 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you 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.
+
+Google Cloud Dataproc Operators
+===
+
+Dataproc is a managed Apache Spark and Apache Hadoop service that lets you
+take advantage of open source data tools for batch processing, querying, 
streaming and machine learning.
+Dataproc automation helps you create clusters quickly, manage them easily, and
+save money by turning clusters off when you don't need them.
+
+For more information about the service visit `Dataproc production 
documentation https://cloud.google.com/dataproc/docs/reference>`__
+
+.. contents::
+  :depth: 1
+  :local:
+
+Prerequisite Tasks
+--
+
+.. include:: _partials/prerequisite_tasks.rst
+
+
+.. _howto/operator:DataprocCreateClusterOperator:
+
+Create a Cluster
+
+
+Before you create a dataproc cluster you need to define the cluster.
+It describes the identifying information, config, and status of a cluster of 
Compute Engine instances.
+For more information about the available fields to pass when creating a 
cluster, visit `Dataproc create cluster API. 
`__
+
+A cluster configuration can look as followed:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster]
+:end-before: [END how_to_cloud_dataproc_create_cluster]
+
+With this configuration we can create the cluster:
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocCreateClusterOperator`
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_create_cluster_operator]
+
+Update a cluster
+
+You can scale the cluster up or down by providing a cluster config and a 
updateMask.
+In the updateMask argument you specifies the path, relative to Cluster, of the 
field to update.
+For more information on updateMask and other parameters take a look at 
`Dataproc update cluster API. 
`__
+
+An example of a new cluster config and the updateMask:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_updatemask_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_updatemask_cluster_operator]
+
+To update a cluster you can use:
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocUpdateClusterOperator`
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_update_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_update_cluster_operator]
+
+Deleting a cluster
+--
+
+To delete a cluster you can use:
+
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocDeleteClusterOperator`.
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_delete_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_delete_cluster_operator]
+
+Submit a job to a cluster
+-
+
+Dataproc supports submitting jobs of different big data components.
+The list currently includes Spark, Hadoop, Pig and Hive.
+For more information on versions and images take a look at `Cloud Dataproc 
Image version list 
`__
+
+To submit a job to the cluster you need a provide a job source 

[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r432834134



##
File path: docs/howto/operator/gcp/dataproc.rst
##
@@ -0,0 +1,188 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you 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.
+
+Google Cloud Dataproc Operators
+===
+
+Dataproc is a managed Apache Spark and Apache Hadoop service that lets you
+take advantage of open source data tools for batch processing, querying, 
streaming and machine learning.
+Dataproc automation helps you create clusters quickly, manage them easily, and
+save money by turning clusters off when you don't need them.
+
+For more information about the service visit `Dataproc production 
documentation https://cloud.google.com/dataproc/docs/reference>`__
+
+.. contents::
+  :depth: 1
+  :local:
+
+Prerequisite Tasks
+--
+
+.. include:: _partials/prerequisite_tasks.rst
+
+
+.. _howto/operator:DataprocCreateClusterOperator:
+
+Create a Cluster
+
+
+Before you create a dataproc cluster you need to define the cluster.
+It describes the identifying information, config, and status of a cluster of 
Compute Engine instances.
+For more information about the available fields to pass when creating a 
cluster, visit `Dataproc create cluster API. 
`__
+
+A cluster configuration can look as followed:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster]
+:end-before: [END how_to_cloud_dataproc_create_cluster]
+
+With this configuration we can create the cluster:
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocCreateClusterOperator`
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_create_cluster_operator]
+
+Update a cluster
+
+You can scale the cluster up or down by providing a cluster config and a 
updateMask.
+In the updateMask argument you specifies the path, relative to Cluster, of the 
field to update.
+For more information on updateMask and other parameters take a look at 
`Dataproc update cluster API. 
`__
+
+An example of a new cluster config and the updateMask:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4

Review comment:
   ```suggestion
   :dedent: 0
   ```





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[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r432834080



##
File path: docs/howto/operator/gcp/dataproc.rst
##
@@ -0,0 +1,188 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you 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.
+
+Google Cloud Dataproc Operators
+===
+
+Dataproc is a managed Apache Spark and Apache Hadoop service that lets you
+take advantage of open source data tools for batch processing, querying, 
streaming and machine learning.
+Dataproc automation helps you create clusters quickly, manage them easily, and
+save money by turning clusters off when you don't need them.
+
+For more information about the service visit `Dataproc production 
documentation https://cloud.google.com/dataproc/docs/reference>`__
+
+.. contents::
+  :depth: 1
+  :local:
+
+Prerequisite Tasks
+--
+
+.. include:: _partials/prerequisite_tasks.rst
+
+
+.. _howto/operator:DataprocCreateClusterOperator:
+
+Create a Cluster
+
+
+Before you create a dataproc cluster you need to define the cluster.
+It describes the identifying information, config, and status of a cluster of 
Compute Engine instances.
+For more information about the available fields to pass when creating a 
cluster, visit `Dataproc create cluster API. 
`__
+
+A cluster configuration can look as followed:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4

Review comment:
   ```suggestion
   :dedent: 0
   ```





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[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r432439593



##
File path: docs/operators-and-hooks-ref.rst
##
@@ -696,7 +696,7 @@ These integrations allow you to perform various operations 
within the Google Clo
  -
 
* - `Dataproc `__
- -
+ - :doc:`howto/operator/gcp/dataproc`

Review comment:
   ```suggestion
- :doc:`How to use `
   ```





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[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r431310411



##
File path: docs/howto/operator/gcp/dataproc.rst
##
@@ -0,0 +1,186 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you 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.
+
+Google Cloud Dataproc Operators
+===
+
+Dataproc is a managed Apache Spark and Apache Hadoop service that lets you
+take advantage of open source data tools for batch processing, querying, 
streaming and machine learning.
+Dataproc automation helps you create clusters quickly, manage them easily, and
+save money by turning clusters off when you don't need them.

Review comment:
   Oh I see it's below in references, but personally I would put it in both 
places 





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[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r431309657



##
File path: docs/howto/operator/gcp/dataproc.rst
##
@@ -0,0 +1,186 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you 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.
+
+Google Cloud Dataproc Operators
+===
+
+Dataproc is a managed Apache Spark and Apache Hadoop service that lets you
+take advantage of open source data tools for batch processing, querying, 
streaming and machine learning.
+Dataproc automation helps you create clusters quickly, manage them easily, and
+save money by turning clusters off when you don't need them.
+
+
+.. contents::
+  :depth: 1
+  :local:
+
+Prerequisite Tasks
+--
+
+.. include:: _partials/prerequisite_tasks.rst
+
+
+.. _howto/operator:DataprocCreateClusterOperator:
+
+Create a Cluster
+
+
+Before you create a dataproc cluster you need to define the cluster.
+It describes the identifying information, config, and status of a cluster of 
Compute Engine instances.
+
+A cluster configuration can look as followed:
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster]
+:end-before: [END how_to_cloud_dataproc_create_cluster]
+
+With this configuration we can create the cluster:
+:class:`~airflow.providers.google.cloud.operators.dataproc.DataprocCreateClusterOperator`
+
+.. exampleinclude:: 
../../../../airflow/providers/google/cloud/example_dags/example_dataproc.py
+:language: python
+:dedent: 4
+:start-after: [START how_to_cloud_dataproc_create_cluster_operator]
+:end-before: [END how_to_cloud_dataproc_create_cluster_operator]
+
+Update a cluster
+
+You can scale the cluster up or down by providing a cluster config and a 
updateMask.
+In the updateMask argument you specifies the path, relative to Cluster, of the 
field to update.
+For more information on updateMask and other parameters take a look at 
`Dataproc update cluster API. 
`__

Review comment:
   Can you add link API docs with  cluster object definition in create 
cluster section?





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[GitHub] [airflow] turbaszek commented on a change in pull request #9037: Create guide for Dataproc Operators

[GitBox]

turbaszek commented on a change in pull request #9037:
URL: https://github.com/apache/airflow/pull/9037#discussion_r431308938



##
File path: docs/howto/operator/gcp/dataproc.rst
##
@@ -0,0 +1,186 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you 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.
+
+Google Cloud Dataproc Operators
+===
+
+Dataproc is a managed Apache Spark and Apache Hadoop service that lets you
+take advantage of open source data tools for batch processing, querying, 
streaming and machine learning.
+Dataproc automation helps you create clusters quickly, manage them easily, and
+save money by turning clusters off when you don't need them.

Review comment:
   Would you mind adding link to Dataproc website / API docs?





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