davidradl commented on code in PR #26611:
URL: https://github.com/apache/flink/pull/26611#discussion_r2113909906
##########
docs/content/docs/dev/table/functions/udfs.md:
##########
@@ -1172,6 +1173,153 @@ If you intend to implement or call functions in Python,
please refer to the [Pyt
{{< top >}}
+Asynchronous Table Functions
+----------------
+
+Similar to `AsyncScalarFunction`, there also exists a `AsyncTableFunction` for
returning multiple row results rather than a single scalar value. Similarly,
this is most useful when interacting with external systems (for example when
enriching stream events with data stored in a database).
+
+Asynchronous interaction with an external system means that a single function
instance can handle many requests concurrently and receive the responses
concurrently. That way, the waiting time can be overlaid with sending other
requests and receiving responses. At the very least, the waiting time is
amortized over multiple requests. This leads in most cased to much higher
streaming throughput.
+
+#### Defining an AsyncTableFunction
+
+A user-defined asynchronous table function maps zero, one, or multiple scalar
values to zero, one, or multiple Rows, but does it asynchronously. Any data
type listed in the [data types section]({{< ref "docs/dev/table/types" >}}) can
be used as a parameter or return type of an evaluation method.
Review Comment:
nit: Do we need to say "but does it asynchronously." as we have already said
it is asynchronous
--
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: issues-unsubscr...@flink.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
