I have a Kafka topic with events produced using an Avro schema like this: { "namespace": "demo.avro", "type": "record", "name": "MySimplifiedRecreate", "fields": [ { "name": "favouritePhrase", "type": "string", "default": "Hello World" }, { "name": "favouriteNumber", "type": "int", "default": 42 }, { "name": "isItTrue", "type": "boolean" } ] }
I want to use the default values in the same way that I do in other Kafka consumers. (Specifically, that when a message on the topic is missing a value for one of these properties, the default value is used instead). e.g. CREATE TABLE `simplified-recreate` ( `favouritePhrase` STRING DEFAULT 'Hello World', `favouriteNumber` INT DEFAULT 42, `isItTrue` BOOLEAN NOT NULL ) WITH ( 'connector' = 'kafka', 'format' = 'avro', ... As far as I can see, DEFAULT isn’t available in Flink SQL. (Although I can see it was considered before in a different context - https://issues.apache.org/jira/browse/FLINK-22427 ) Is there another way to process events with missing properties where the schema identifies the correct default? Kind regards Dale Unless otherwise stated above: IBM United Kingdom Limited Registered in England and Wales with number 741598 Registered office: PO Box 41, North Harbour, Portsmouth, Hants. PO6 3AU