I'm currently trying to use Avro in order to evolve our data present in
Flink's Managed State. I've extended the TypeSerializer class successfully
for this purpose, but still have issues using Schema Evolution.
When we try to read data (deserialize from savepoint) with a new serialiser
and a new schema, Flink seems to use the old schema of the old serializer
(written to the savepoint). This results in an old GenericRecord that
doesn't adhere to the new Avro schema.
*What seems to happen to me is the following* (Say we evolve from dataV1 to
- State containing dataV1 is serialized with avro schema V1 to a
check/savepoint. Along with the data, the serializer itself is written.
- Upon restore, the old serializer is retrieved from the data (therefore
needs to be on the classpath). Data is restored using this old serializer.
The new serializer provided is only used for writes.
If this is indeed the case it explains our aforementioned problem. If you
have any pointers as to whether this is true and what a possible solution
would be that would be very much appreciated!
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