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https://issues.apache.org/jira/browse/FLINK-15719?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17323117#comment-17323117
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Flink Jira Bot commented on FLINK-15719:
----------------------------------------

This issue is assigned but has not received an update in 7 days so it has been 
labeled "stale-assigned". If you are still working on the issue, please give an 
update and remove the label. If you are no longer working on the issue, please 
unassign so someone else may work on it. In 7 days the issue will be 
automatically unassigned.

> 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, stale-assigned
>
> 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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