derrickaw commented on code in PR #35914:
URL: https://github.com/apache/beam/pull/35914#discussion_r2292063929


##########
sdks/python/apache_beam/yaml/examples/transforms/jinja/include/wordCountInclude.yaml:
##########
@@ -0,0 +1,71 @@
+# coding=utf-8
+#
+# 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.
+#
+
+# This examples reads from a public file stored on Google Cloud. This
+# requires authenticating with Google Cloud, or setting the file in
+#`ReadFromText` to a local file.
+#
+# To set up Application Default Credentials,
+# see https://cloud.google.com/docs/authentication/external/set-up-adc.
+#
+# This pipeline reads in a text file, counts distinct words found in the text,
+# then logs a row containing each word and its count.
+
+pipeline:
+  transforms:
+    - name: Read from GCS
+      type: ReadFromText
+      config:
+{% include 
'apache_beam/yaml/examples/transforms/jinja/include/submodules/readFromText.yaml'
 %}

Review Comment:
   1. We generally don't want to put the whole transform here because it limits 
us from changing names or inputs.  Wanted to give an example of how to use.  
How about a mix?  Some transforms, some configs only?
   2. Ok on better names.



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