clarify docs; address nit

ahmedabu98 · ahmedabu98 · commit 3ec836e8c3a6 · 2023-09-21T20:25:32.000-04:00
diff --git a/sdks/python/apache_beam/io/external/xlang_bigqueryio_it_test.py b/sdks/python/apache_beam/io/external/xlang_bigqueryio_it_test.py
@@ -262,7 +262,7 @@ def run_streaming(self, table_name, num_streams=0, use_at_least_once=False):
         streaming=True,
         allow_unsafe_triggers=True)
 
-    auto_sharding = num_streams == 0
+    auto_sharding = (num_streams == 0)
     with beam.Pipeline(argv=args) as p:
       _ = (
           p
diff --git a/website/www/site/content/en/documentation/io/built-in/google-bigquery.md b/website/www/site/content/en/documentation/io/built-in/google-bigquery.md
@@ -788,7 +788,7 @@ BigQuery Storage Write API for Python SDK currently has some limitations on supp
 {{< paragraph class="language-py" >}}
 **Note:** If you want to run WriteToBigQuery with Storage Write API from the source code, you need to run `./gradlew :sdks:java:io:google-cloud-platform:expansion-service:build` to build the expansion-service jar. If you are running from a released Beam SDK, the jar will already be included.
 
-**Note:** Auto sharding is not currently supported for Python's Storage Write API.
+**Note:** Auto sharding is not currently supported for Python's Storage Write API exactly-once mode on DataflowRunner.
 
 {{< /paragraph >}}
 

Original file line number	Diff line number	Diff line change
`@@ -262,7 +262,7 @@ def run_streaming(self, table_name, num_streams=0, use_at_least_once=False):`
`262`	`262`	`streaming=True,`
`263`	`263`	`allow_unsafe_triggers=True)`
`264`	`264`
`265`		`- auto_sharding = num_streams == 0`
	`265`	`+ auto_sharding = (num_streams == 0)`
`266`	`266`	`with beam.Pipeline(argv=args) as p:`
`267`	`267`	`_ = (`
`268`	`268`	`p`