Hi all,

I am trying to understand the situation with state serialization in flink.
I'm looking at a number of sources, but slide 35 from here crystalizes my
confusion:

https://www.slideshare.net/FlinkForward/flink-forward-berlin-2017-tzuli-gordon-tai-managing-state-in-apache-flink

So, I understand that if 'Flink's own serialization stack' is unable to
serialize a type you define, then it will fall back on Kryo generics. In
this case, I believe what I'm being told is that state compatibility is
difficult to ensure, and schema evolution in your jobs is not possible.

However on this slide, they say
"
       Kryo is generally not  recommended ...

       Serialization frameworks with schema evolution support is
recommended: Avro,         Thrift
"
So is this implying that Flink's non-default serialization stack does not
support schema evolution? In this case is it best practice to register
custom serializers whenever possible.

Thanks

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