Re: Problem with custom SerializationSchema in Flink 1.15

2023-01-24 Thread Chesnay Schepler
It's a known issue that various connectors/wrappers/etc did not respect the schema lifecycle. This was fixed in 1.16.0 in https://issues.apache.org/jira/browse/FLINK-28807. You will have to lazily initialize the mapper in the serialize() method for previous versions. On 24/01/2023 11:52,

Problem with custom SerializationSchema in Flink 1.15

2023-01-24 Thread Peter Schrott
Hi Flink-User! I recently updated a Flink job from Flink version 1.13 to 1.15 (managed by AWS). The Flink Job is written in Java. I found out that the Kinesis Producer was deprecated in favour of Kinesis Streams Sink [1]. When upgrading to the new sink I stumbled upon a problem withe a