udim commented on a change in pull request #12280:
URL: https://github.com/apache/beam/pull/12280#discussion_r459099536
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File path: sdks/python/apache_beam/io/gcp/bigquery.py
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@@ -65,18 +65,19 @@
table. If specified, the result obtained by executing the specified query will
be used as the data of the input transform.::
- query_results = pipeline | beam.io.Read(beam.io.BigQuerySource(
- query='SELECT year, mean_temp FROM samples.weather_stations'))
+ query_results = pipeline | beam.io.gcp.bigquery.ReadFromBigQuery(
+ query='SELECT year, mean_temp FROM samples.weather_stations')
When creating a BigQuery input transform, users should provide either a query
or a table. Pipeline construction will fail with a validation error if neither
or both are specified.
-When reading from BigQuery using `BigQuerySource`, bytes are returned as
-base64-encoded bytes. When reading via `ReadFromBigQuery`, bytes are returned
-as bytes without base64 encoding. This is due to the fact that ReadFromBigQuery
-uses Avro expors by default. To get base64-encoded bytes, you can use the flag
-`use_json_exports` to export data as JSON, and receive base64-encoded bytes.
+When reading via `ReadFromBigQuery`, bytes are returned decoded as bytes.
+This is due to the fact that ReadFromBigQuery uses Avro expors by default.
Review comment:
```suggestion
This is due to the fact that ReadFromBigQuery uses Avro exports by default.
```
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