Ying Z created FLINK-15719:
------------------------------
Summary: 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
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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