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Flink Jira Bot updated FLINK-15674: ----------------------------------- Labels: auto-deprioritized-major auto-unassigned stale-minor usability (was: auto-deprioritized-major auto-unassigned usability) I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help the community manage its development. I see this issues has been marked as Minor but is unassigned and neither itself nor its Sub-Tasks have been updated for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is still Minor, please either assign yourself or give an update. Afterwards, please remove the label or in 7 days the issue will be deprioritized. > Let Java and Scala Type Extraction go through the same stack > ------------------------------------------------------------ > > Key: FLINK-15674 > URL: https://issues.apache.org/jira/browse/FLINK-15674 > Project: Flink > Issue Type: Improvement > Components: API / DataStream > Reporter: Stephan Ewen > Priority: Minor > Labels: auto-deprioritized-major, auto-unassigned, stale-minor, > usability > > Currently, the Java and Scala Type Extraction stacks are completely different. > * Java uses the {{TypeExtractor}} > * Scala uses the type extraction macros. > As a result, the same class can be extracted as different types in the > different stacks, which can lead to very confusing results. In particular, > when you use the TypeExtractor on Scala Classes, you always get a > {{GenericType}}. > *Suggestion for New Design* > There should be one type extraction stack, based on the TypeExtractor. > * The TypeExtractor should be extensible and load additions through service > loaders, similar as it currently loads Avro as an extension. > * The Scala Type Extraction logic should be such an extension. > * The Scala Marcos would only capture the {{Type}} (as in Java type), meaning > {{Class}}, or {{ParameterizedType}}, or {{Array}} (etc.) and delegate this to > the TypeExtractor. -- This message was sent by Atlassian Jira (v8.20.1#820001)