slilichenko commented on code in PR #25400:
URL: https://github.com/apache/beam/pull/25400#discussion_r1109062814


##########
website/www/site/content/en/documentation/io/built-in/google-bigquery.md:
##########
@@ -323,6 +323,11 @@ in the following example:
 {{< code_sample "sdks/python/apache_beam/examples/snippets/snippets.py" 
model_bigqueryio_read_query_std_sql >}}
 {{< /highlight >}}
 
+{{< paragraph class="language-java" >}}
+#### Query execution project
+By default the pipeline executes the query in the Google Cloud project 
associated with the pipeline (in case of the Dataflow runner it's the project 
where the pipeline runs). There are cases where the query execution project 
should be different from the pipeline project. You can define the query 
execution project by setting the pipeline option 
"[bigQueryProject](https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/gcp/bigquery/BigQueryOptions.html#getBigQueryProject--)"
 to the desired Google Cloud project id.
+{{< /paragraph >}}
+

Review Comment:
   I don't feel comfortable adding adding "Python doesn't support it". I spent 
some time reading the logic of Python's IO and there is potentially a way to do 
it; but it requires testing or someone with the deeper knowledge of the 
transform needs to provide details. How about "If you use Java SDK, you can 
define the query execution project ...."?



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