Hi Gordon
I would like to carry over *all* of the internal states for the
FunctionGroupOperator, only changing my own state. I was under the
impression that the only way to do that is to call
mySvepoint.removeOperator("operator-uid").withOperator("operator-uid",
transformation)
(where transformation is):
val transformation =
OperatorTransformation.bootstrapWith(myKeyedState).keyBy((ks: KeyedState)
=> ks.key).transform(new KeyedStateBootstrapFunction[String,
MyKeyedStateClass] (... // here use the values of MyKeyedStateClass to
re-create the internal statefun state)
meaning that I'd lose all the internal state in "operator-uid" unless I
read it in first, and populated it back in the `transformation`. Am I
thinking about this all wrong?
Many thanks
Fil
(Thias, I'm assuming your answer around HybridSource is to another thread,
so I'm removing it from this reply)
On Wed, 26 Oct 2022 at 19:01, Tzu-Li (Gordon) Tai <tzuli...@apache.org>
wrote:
> Hi Filip,
>
> I think what you are seeing is expected. The State Processor API was
> intended to allow access only to commonly used user-facing state
> structures, while Stateful Functions uses quite a bit of Flink internal
> features, including for its state maintenance.
> The list state in question in StateFun's FunctionGroupOperator is an
> internal kind of state normally used in the context of Flink window states
> that are namespaced. Normal user-facing list states are not namespaced.
>
> Just curious, which specific state in FunctionGroupOperator are you trying
> to transform? I assume all other internal state in FunctionGroupOperator
> you want to remain untouched, and only wish to carry them over to be
> included in the transformed savepoint?
>
> Thanks,
> Gordon
>
>
> On Wed, Oct 26, 2022 at 3:50 AM Filip Karnicki <filip.karni...@gmail.com>
> wrote:
>
>> Hi Thias
>>
>> Thank you for your reply. I can re-create a simplified use case at home
>> and stick it on github if you think it will help.
>>
>> What I'm trying to access is pretty internal to Flink Stateful Functions.
>> It seems that a custom operator (
>> https://github.com/apache/flink-statefun/blob/09a5cba521e9f994896c746ec9f8cc6479403612/statefun-flink/statefun-flink-core/src/main/java/org/apache/flink/statefun/flink/core/functions/FunctionGroupOperator.java#L188)
>> is accessing a KeyedStateBackend and creating an InternalListState, which
>> I'm not sure I'll be able to get my hands on using the State Processor API.
>>
>> The only reason why I need to get my hands on all the states from this
>> Stateful Functions operator is because later I (think I) have to use
>> .removeOperator(uid) on a savepoint and replace it .withOperator(uid,
>> myTransformation) in order to transform my own, non-stateful-functions
>> keyed state which also belongs to this operator.
>>
>> Kind regards
>> Fil
>>
>> On Tue, 25 Oct 2022 at 16:24, Schwalbe Matthias <
>> matthias.schwa...@viseca.ch> wrote:
>>
>>> Hi Filip,
>>>
>>>
>>>
>>> It looks like, your state primitive is used in the context of Windows:
>>>
>>> Keyed state works like this:
>>>
>>> - It uses a cascade of key types to store and retrieve values:
>>> - The key (set by .keyBy)
>>> - A namespace (usually a VoidNamespace), unless it is used in
>>> context of a specific window
>>> - An optional key of the state primitive (if it is a MapState)
>>>
>>>
>>>
>>> In your case the state primitive is (probably) declared in the context
>>> of a window and hence when loading the state by means of StateProcessorAPI
>>> you also need to specify the correct Namespace TypeInformation.
>>>
>>> If I am in doubt, how a state primitive is set up, I let the debugger
>>> stop in a process function and walk up the call stack to find the proper
>>> components implementing it.
>>>
>>>
>>>
>>> If you share a little more of your code it is much easier to provide
>>> specific guidance 😊
>>>
>>> (e.g. ‘savepoint’ is never used again in your code snippet …)
>>>
>>>
>>>
>>> Sincere greeting
>>>
>>>
>>>
>>> Thias
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> *From:* Filip Karnicki <filip.karni...@gmail.com>
>>> *Sent:* Tuesday, October 25, 2022 10:08 AM
>>> *To:* user <user@flink.apache.org>
>>> *Subject:* State Processor API - VoidNamespaceSerializer must be
>>> compatible with the old namespace serializer LongSerializer
>>>
>>>
>>>
>>> Hi, I'm trying to load a list state using the State Processor API (Flink
>>> 1.14.3)
>>>
>>>
>>>
>>> Cluster settings:
>>>
>>>
>>>
>>> state.backend: rocksdb
>>>
>>> state.backend.incremental: true
>>>
>>> (...)
>>>
>>>
>>>
>>> Code:
>>>
>>>
>>>
>>> val env = ExecutionEnvironment.getExecutionEnvironment
>>>
>>> val savepoint = Savepoint.load(env, pathToSavepoint, new
>>> EmbeddedRocksDBStateBackend(true))
>>>
>>>
>>> val tpe = new
>>> MessageTypeInformation(MessageFactoryKey.forType(MessageFactoryType.WITH_PROTOBUF_PAYLOADS,
>>> null) // using Flink Stateful Functions
>>> val envelopeSerializer: TypeSerializer[Message] =
>>> tpe.createSerializer(env.getConfig)
>>>
>>> val listDescriptor = new
>>> ListStateDescriptor[Message]("delayed-message-buffer",
>>> envelopeSerializer.duplicate)
>>>
>>> (...)
>>> override def open(parameters: Configuration): Unit = {
>>>
>>> getRuntimeContext.getListState(listDescriptor) // fails with error
>>> [1]
>>>
>>> }
>>>
>>>
>>>
>>>
>>>
>>> Error [1]:
>>>
>>>
>>>
>>> Caused by: java.io.IOException: Failed to restore timer state
>>>
>>> at
>>> org.apache.flink.state.api.input.KeyedStateInputFormat.open(KeyedStateInputFormat.java:177)
>>>
>>> at
>>> org.apache.flink.state.api.input.KeyedStateInputFormat.open(KeyedStateInputFormat.java:64)
>>>
>>> at
>>> org.apache.flink.runtime.operators.DataSourceTask.invoke(DataSourceTask.java:183)
>>>
>>> at
>>> org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:958)
>>>
>>> at
>>> org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:937)
>>>
>>> at
>>> org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766)
>>>
>>> at
>>> org.apache.flink.runtime.taskmanager.Task.run(Task.java:575)
>>>
>>> at java.base/java.lang.Thread.run(Thread.java:829)
>>>
>>> Caused by: java.lang.RuntimeException: Error while getting state
>>>
>>> at
>>> org.apache.flink.runtime.state.DefaultKeyedStateStore.getListState(DefaultKeyedStateStore.java:74)
>>>
>>> at
>>> org.apache.flink.state.api.runtime.SavepointRuntimeContext.getListState(SavepointRuntimeContext.java:213)
>>>
>>> at
>>> x.x.x.x.x.myModule.StateReader$$anon$1.open(StateReader.scala:527)
>>>
>>> at
>>> org.apache.flink.api.common.functions.util.FunctionUtils.openFunction(FunctionUtils.java:34)
>>>
>>> at
>>> org.apache.flink.state.api.input.operator.StateReaderOperator.open(StateReaderOperator.java:106)
>>>
>>> at
>>> org.apache.flink.state.api.input.operator.KeyedStateReaderOperator.open(KeyedStateReaderOperator.java:66)
>>>
>>> at
>>> org.apache.flink.state.api.input.KeyedStateInputFormat.open(KeyedStateInputFormat.java:174)
>>>
>>> ... 7 more
>>>
>>> Caused by: org.apache.flink.util.StateMigrationException: The new
>>> namespace serializer (
>>> org.apache.flink.runtime.state.VoidNamespaceSerializer@2806d6da) must
>>> be compatible with the old namespace serializer (
>>> org.apache.flink.api.common.typeutils.base.LongSerializer@52b06bef).
>>>
>>> at
>>> org.apache.flink.contrib.streaming.state.RocksDBKeyedStateBackend.updateRestoredStateMetaInfo(RocksDBKeyedStateBackend.java:685)
>>>
>>> at
>>> org.apache.flink.contrib.streaming.state.RocksDBKeyedStateBackend.tryRegisterKvStateInformation(RocksDBKeyedStateBackend.java:624)
>>>
>>> at
>>> org.apache.flink.contrib.streaming.state.RocksDBKeyedStateBackend.createInternalState(RocksDBKeyedStateBackend.java:837)
>>>
>>> at
>>> org.apache.flink.runtime.state.KeyedStateFactory.createInternalState(KeyedStateFactory.java:47)
>>>
>>> at
>>> org.apache.flink.runtime.state.ttl.TtlStateFactory.createStateAndWrapWithTtlIfEnabled(TtlStateFactory.java:73)
>>>
>>> at
>>> org.apache.flink.runtime.state.AbstractKeyedStateBackend.getOrCreateKeyedState(AbstractKeyedStateBackend.java:302)
>>>
>>> at
>>> org.apache.flink.runtime.state.AbstractKeyedStateBackend.getPartitionedState(AbstractKeyedStateBackend.java:353)
>>>
>>> at
>>> org.apache.flink.runtime.state.DefaultKeyedStateStore.getPartitionedState(DefaultKeyedStateStore.java:115)
>>>
>>> at
>>> org.apache.flink.runtime.state.DefaultKeyedStateStore.getListState(
>>> *DefaultKeyedStateStore*.java:71)
>>>
>>> ... 13 more
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> It seems that *DefaultKeyedStateStore *always wants to use
>>> VoidNamespaceSerializer.INSTANCE despite my state being created with a
>>> LongSerializer namespace serializer.
>>>
>>>
>>>
>>> Is there anything anyone can immediately see me doing wrong?
>>>
>>>
>>>
>>> Thank you
>>>
>>> Fil
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>>
