X-czh commented on code in PR #25797: URL: https://github.com/apache/flink/pull/25797#discussion_r1903945084
########## docs/content/docs/dev/datastream/fault-tolerance/serialization/types_serialization.md: ########## @@ -167,6 +168,24 @@ input.keyBy(_.word) Flink supports all Java and Scala primitive types such as `Integer`, `String`, and `Double`. +#### Common Collection Types Review Comment: You are probably correct, but it might be better to address it in a separate doc fix issue as it is not directly related to the issue here. I'll revise relating doc later before 2.0 release ########## docs/content/docs/dev/datastream/fault-tolerance/serialization/types_serialization.md: ########## @@ -37,15 +37,16 @@ Flink places some restrictions on the type of elements that can be in a DataStre The reason for this is that the system analyzes the types to determine efficient execution strategies. -There are seven different categories of data types: +There are eight different categories of data types: 1. **Java Tuples** and **Scala Case Classes** Review Comment: Same as above -- 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
