riteshghorse commented on code in PR #30187: URL: https://github.com/apache/beam/pull/30187#discussion_r1482069685
########## website/www/site/content/en/documentation/transforms/python/elementwise/enrichment.md: ########## @@ -31,7 +31,7 @@ limitations under the License. The enrichment transform lets you dynamically enrich data in a pipeline by doing a key-value lookup to a remote service. The transform uses [`RequestResponeIO`](https://beam.apache.org/releases/pydoc/current/apache_beam.io.requestresponseio.html#apache_beam.io.requestresponseio.RequestResponseIO) internally. This feature uses client-side throttling to ensure that the remote service isn't overloaded with requests. If service-side errors occur, like `TooManyRequests` and `Timeout` exceptions, it retries the requests by using exponential backoff. -Starting Apache Beam 2.54.0, the package provides a built-in enrichment handler for [Cloud Bigtable](https://cloud.google.com/bigtable?hl=en). +In Apache Beam 2.54.0 and later versions, the transform includes a built-in enrichment handler for [Cloud Bigtable](https://cloud.google.com/bigtable?hl=en). Review Comment: Sounds good, I'll change that here and in the notebook as well. Thanks! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
