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https://issues.apache.org/jira/browse/FLINK-15719?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17189637#comment-17189637
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Seth Wiesman commented on FLINK-15719:
--------------------------------------
fixed in 367dce2898e5f3a828cd30c6b322dcf76cf4dc8a
> Exceptions when using scala types directly with the State Process API
> ---------------------------------------------------------------------
>
> Key: FLINK-15719
> URL: https://issues.apache.org/jira/browse/FLINK-15719
> Project: Flink
> Issue Type: Bug
> Components: API / State Processor
> Affects Versions: 1.9.1
> Reporter: Ying Z
> Assignee: Tzu-Li (Gordon) Tai
> Priority: Major
> Labels: pull-request-available
>
> I followed these steps to generate and read states:
> # implements the example[1] `CountWindowAverage` in Scala(exactly same), and
> run jobA => that makes good.
> # execute `flink cancel -s ${JobID}` => savepoints was generated as expected.
> # implements the example[2] `StatefulFunctionWithTime` in Scala(code below),
> and run jobB => failed, exceptions shows that "Caused by:
> org.apache.flink.util.StateMigrationException: The new key serializer must be
> compatible."
> ReaderFunction code as below:
> {code:java}
> // code placeholder
> class ReaderFunction extends KeyedStateReaderFunction[Long, (Long, Long)] {
> var countState: ValueState[(Long, Long)] = _
> override def open(parameters: Configuration): Unit = {
> val stateDescriptor = new ValueStateDescriptor("average",
> createTypeInformation[(Long, Long)])
> countState = getRuntimeContext().getState(stateDescriptor)
> } override def readKey(key: Long, ctx:
> KeyedStateReaderFunction.Context, out: Collector[(Long, Long)]): Unit = {
> out.collect(countState.value())
> }
> }
> {code}
> 1:
> [https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/stream/state/state.html#using-managed-keyed-state]
>
> 2:
> [https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/libs/state_processor_api.html#keyed-state]
>
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