theodesp commented on a change in pull request #18930:
URL: https://github.com/apache/airflow/pull/18930#discussion_r727988326
##########
File path: docs/apache-airflow-providers-apache-beam/operators.rst
##########
@@ -84,7 +85,7 @@ Run Java Pipelines in Apache Beam
For Java pipeline the ``jar`` argument must be specified for
:class:`~airflow.providers.apache.beam.operators.beam.BeamRunJavaPipelineOperator`
as it contains the pipeline to be executed by Apache Beam. The JAR can be
available on GCS that Airflow
-has the ability to download or available on the local filesystem (provide the
absolute path to it).
+has the ability to download or available on the local filesystem (provide the
absolute path to it).
Review comment:
```suggestion
has the ability to download or available on the local filesystem (provide
the absolute path to it).
```
##########
File path: docs/apache-airflow-providers-apache-pinot/pinot-operators.rst
##########
@@ -0,0 +1,140 @@
+ .. 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.
+
+Guide for Apache Pinot Operators
+=================================
+
+
+`Apache Pinot <https://pinot.apache.org/>`__ is a column-oriented, open-source,
+distributed data store written in Java. Pinot is designed to execute OLAP
queries
+with low latency. It is suited in contexts where fast analytics,such as
aggregations,
Review comment:
```suggestion
with low latency. It is suited in contexts where fast analytics, such as
aggregations,
```
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