avro
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Currently, there isn't a way to get the table properties in the SparkOrcWriter via the WriterFactory.
Converting timestamp to topic/partition offset is not easy without coding.... a nice new feature would be to be able to consume messages by providing from-timestamp, and let the kafkactl code compute the corresponding start offset value.
Over time we've had some things leak into the diff methods that make it more cumbersome to use BigDiffy via code instead of CLI.
For example diffAvro here https://github.com/spotify/ratatool/blob/master/ratatool-diffy/src/main/scala/com/spotify/ratatool/diffy/BigDiffy.scala#L284
User has to manually pass in schema otherwise we they receive a non-informative error regarding null schema, add
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Migrate to goavro v2
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The title might seem a bit vague but I don't know how to describe it any better tbh :-)
Anyway this is what happened: I got some 500 responses from the schema registry and all I could see in the logs was :
The logs di