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Posted to user@flink.apache.org by John Tipper <jo...@hotmail.com> on 2019/07/17 12:18:31 UTC

Does Flink support raw generic types in a merged stream?

Hi All,


Can I union/join 2 streams containing generic classes, where each stream has a different parameterised type? I'd like to process the combined stream of values as a single raw type, casting to a specific type for detailed processing, based on some information in the type that will allow me to safely cast to the specific type.

I can't share my exact code, but the below example shows the sort of thing I want to do.

So, as an example, given the following generic type:

class MyGenericContainer<IN> extends Tuple3<String, IN, SomeOtherClass> {
    ...
    private final String myString;
    private final IN value;
    private final Class<IN> clazz; // created by constructor
    private SomeOtherClass someOtherClass;
    ...
}

and 2 streams, I'd like to be able to do something like:

DataStream<MyGenericContainer<String>> stream1 = ...
DataStream<MyGenericContainer<Integer>> stream2 = ...

DataStream<...> merged = stream1.union(stream2).process(new MyProcessFunction());

// within an operator, such as a MyProcessFunction:
MyGenericContainer container = raw generic container passed to function;
Object rawValue = container.getValue();
performProcessing((container.getClazz())rawValue); // safely cast rawValue

However, I get an error when I do this:

Caused by: org.apache.flink.api.common.functions.InvalidTypesException: Type of TypeVariable 'IN' in 'class com.example.MyGenericTuple3' could not be determined. This is most likely a type erasure problem. The type extraction currently supports types with generic variables only in cases where all variables in the return type can be deduced from the input type(s). Otherwise the type has to be specified explicitly using type information.
    at org.apache.flink.api.java.typeutils.TypeExtractor.createSubTypesInfo(TypeExtractor.java:1133)
    at org.apache.flink.api.java.typeutils.TypeExtractor.createTypeInfoWithTypeHierarchy(TypeExtractor.java:853)
    at org.apache.flink.api.java.typeutils.TypeExtractor.privateCreateTypeInfo(TypeExtractor.java:803)
    at org.apache.flink.api.java.typeutils.TypeExtractor.getUnaryOperatorReturnType(TypeExtractor.java:587)
    at org.apache.flink.streaming.api.datastream.DataStream.process(DataStream.java:633)

If I try to add a returns() to the code, like this:

DataStream<...> merged = stream1.union(stream2)
    .process(...)
    .returns(new TypeHint<MyGenericContainer>() {})

then I get a different exception:

Exception in thread "main" org.apache.flink.util.FlinkRuntimeException: The TypeHint is using a generic variable.This is not supported, generic types must be fully specified for the TypeHint.

Is this sort of thing supported or is there another way of joining multiple streams into a single stream, where each stream object will have a specific type of a common generic type?


Many thanks,

John

Re: Does Flink support raw generic types in a merged stream?

Posted by Fabian Hueske <fh...@gmail.com>.
Hi John,

You could implement your own n-ary Either type.
It's a bit of work because you'd need also a custom TypeInfo & Serializer
but rather straightforward if you follow the implementation of Either.

Best,
Fabian

Am Mi., 17. Juli 2019 um 16:28 Uhr schrieb John Tipper <
john_tipper@hotmail.com>:

> Hi Chesnay,
>
> Yes, but the actual use case needs to support more than 2 streams, so if I
> go down the Either route then I have arbitrarily sized nested Eithers, i.e.
> Either<Either<A, B>, C> etc, which gets pretty messy very quickly.
>
> Many thanks,
>
> John
>
> Sent from my iPhone
>
> On 17 Jul 2019, at 13:29, Chesnay Schepler <ch...@apache.org> wrote:
>
> Have you looked at org.apache.flink.types.Either? If you'd wrap all
> elements in both streams before the union you should be able to join them
> properly.
>
> On 17/07/2019 14:18, John Tipper wrote:
>
> Hi All,
>
> Can I union/join 2 streams containing generic classes, where each stream
> has a different parameterised type? I'd like to process the combined stream
> of values as a single raw type, casting to a specific type for detailed
> processing, based on some information in the type that will allow me to
> safely cast to the specific type.
>
> I can't share my exact code, but the below example shows the sort of thing
> I want to do.
>
> So, as an example, given the following generic type:
>
> class MyGenericContainer<IN> extends Tuple3<String, IN, SomeOtherClass> {
>     ...
>     private final String myString;
>     private final IN value;
>     private final Class<IN> clazz; // created by constructor
>     private SomeOtherClass someOtherClass;
>     ...
> }
>
> and 2 streams, I'd like to be able to do something like:
>
> DataStream<MyGenericContainer<String>> stream1 = ...
> DataStream<MyGenericContainer<Integer>> stream2 = ...
> DataStream<...> merged = stream1.union(stream2).process(new MyProcessFunction());
> // within an operator, such as a MyProcessFunction:
> MyGenericContainer container = raw generic container passed to function;
> Object rawValue = container.getValue();
> performProcessing((container.getClazz())rawValue); // safely cast rawValue
>
> However, I get an error when I do this:
>
> Caused by: org.apache.flink.api.common.functions.InvalidTypesException: Type of TypeVariable 'IN' in 'class com.example.MyGenericTuple3' could not be determined. This is most likely a type erasure problem. The type extraction currently supports types with generic variables only in cases where all variables in the return type can be deduced from the input type(s). Otherwise the type has to be specified explicitly using type information.
>     at org.apache.flink.api.java.typeutils.TypeExtractor.createSubTypesInfo(TypeExtractor.java:1133)
>     at org.apache.flink.api.java.typeutils.TypeExtractor.createTypeInfoWithTypeHierarchy(TypeExtractor.java:853)
>     at org.apache.flink.api.java.typeutils.TypeExtractor.privateCreateTypeInfo(TypeExtractor.java:803)
>     at org.apache.flink.api.java.typeutils.TypeExtractor.getUnaryOperatorReturnType(TypeExtractor.java:587)
>     at org.apache.flink.streaming.api.datastream.DataStream.process(DataStream.java:633)
>
> If I try to add a returns() to the code, like this:
>
> DataStream<...> merged = stream1.union(stream2)
>     .process(...)
>     .returns(new TypeHint<MyGenericContainer>() {})
>
> then I get a different exception:
>
> Exception in thread "main" org.apache.flink.util.FlinkRuntimeException: The TypeHint is using a generic variable.This is not supported, generic types must be fully specified for the TypeHint.
>
> Is this sort of thing supported or is there another way of joining
> multiple streams into a single stream, where each stream object will have a
> specific type of a common generic type?
>
>
> Many thanks,
>
> John
>
>
>

Re: Does Flink support raw generic types in a merged stream?

Posted by John Tipper <jo...@hotmail.com>.
Hi Chesnay,

Yes, but the actual use case needs to support more than 2 streams, so if I go down the Either route then I have arbitrarily sized nested Eithers, i.e. Either<Either<A, B>, C> etc, which gets pretty messy very quickly.

Many thanks,

John

Sent from my iPhone

On 17 Jul 2019, at 13:29, Chesnay Schepler <ch...@apache.org>> wrote:


Have you looked at org.apache.flink.types.Either? If you'd wrap all elements in both streams before the union you should be able to join them properly.

On 17/07/2019 14:18, John Tipper wrote:
Hi All,


Can I union/join 2 streams containing generic classes, where each stream has a different parameterised type? I'd like to process the combined stream of values as a single raw type, casting to a specific type for detailed processing, based on some information in the type that will allow me to safely cast to the specific type.

I can't share my exact code, but the below example shows the sort of thing I want to do.

So, as an example, given the following generic type:

class MyGenericContainer<IN> extends Tuple3<String, IN, SomeOtherClass> {
    ...

    private final String myString;

    private final IN value;

    private final Class<IN> clazz; // created by constructor

    private SomeOtherClass someOtherClass;

    ...

}


and 2 streams, I'd like to be able to do something like:

DataStream<MyGenericContainer<String>> stream1 = ...
DataStream<MyGenericContainer<Integer>> stream2 = ...



DataStream<...> merged = stream1.union(stream2).process(new MyProcessFunction());



// within an operator, such as a MyProcessFunction:

MyGenericContainer container = raw generic container passed to function;

Object rawValue = container.getValue();

performProcessing((container.getClazz())rawValue); // safely cast rawValue


However, I get an error when I do this:

Caused by: org.apache.flink.api.common.functions.InvalidTypesException: Type of TypeVariable 'IN' in 'class com.example.MyGenericTuple3' could not be determined. This is most likely a type erasure problem. The type extraction currently supports types with generic variables only in cases where all variables in the return type can be deduced from the input type(s). Otherwise the type has to be specified explicitly using type information.
    at org.apache.flink.api.java.typeutils.TypeExtractor.createSubTypesInfo(TypeExtractor.java:1133)

    at org.apache.flink.api.java.typeutils.TypeExtractor.createTypeInfoWithTypeHierarchy(TypeExtractor.java:853)

    at org.apache.flink.api.java.typeutils.TypeExtractor.privateCreateTypeInfo(TypeExtractor.java:803)

    at org.apache.flink.api.java.typeutils.TypeExtractor.getUnaryOperatorReturnType(TypeExtractor.java:587)

    at org.apache.flink.streaming.api.datastream.DataStream.process(DataStream.java:633)


If I try to add a returns() to the code, like this:

DataStream<...> merged = stream1.union(stream2)
    .process(...)

    .returns(new TypeHint<MyGenericContainer>() {})


then I get a different exception:

Exception in thread "main" org.apache.flink.util.FlinkRuntimeException: The TypeHint is using a generic variable.This is not supported, generic types must be fully specified for the TypeHint.


Is this sort of thing supported or is there another way of joining multiple streams into a single stream, where each stream object will have a specific type of a common generic type?


Many thanks,

John

Re: Does Flink support raw generic types in a merged stream?

Posted by Chesnay Schepler <ch...@apache.org>.
Have you looked at org.apache.flink.types.Either? If you'd wrap all 
elements in both streams before the union you should be able to join 
them properly.


On 17/07/2019 14:18, John Tipper wrote:
> Hi All,
>
> Can I union/join 2 streams containing generic classes, where each 
> stream has a different parameterised type? I'd like to process the 
> combined stream of values as a single raw type, casting to a specific 
> type for detailed processing, based on some information in the type 
> that will allow me to safely cast to the specific type.
>
> I can't share my exact code, but the below example shows the sort of 
> thing I want to do.
>
> So, as an example, given the following generic type:
>
> class MyGenericContainer<IN> extends Tuple3<String, IN, SomeOtherClass> {
>     ...
>     private final String myString;
>     private final IN value;
>     private final Class<IN> clazz; // created by constructor
>     private SomeOtherClass someOtherClass;
>     ...
> } ||
>
> and 2 streams, I'd like to be able to do something like:
>
> DataStream<MyGenericContainer<String>> stream1 = ...
> DataStream<MyGenericContainer<Integer>> stream2 = ...
> DataStream<...> merged = stream1.union(stream2).process(new 
> MyProcessFunction());
> // within an operator, such as a MyProcessFunction:
> MyGenericContainer container = raw generic container passed to function;
> Object rawValue = container.getValue();
> performProcessing((container.getClazz())rawValue); // safely cast 
> rawValue ||
>
> However, I get an error when I do this:
>
> Caused by: 
> org.apache.flink.api.common.functions.InvalidTypesException: Type of 
> TypeVariable 'IN' in 'class com.example.MyGenericTuple3' could not be 
> determined. This is most likely a type erasure problem. The type 
> extraction currently supports types with generic variables only in 
> cases where all variables in the return type can be deduced from the 
> input type(s). Otherwise the type has to be specified explicitly using 
> type information.
>     at 
> org.apache.flink.api.java.typeutils.TypeExtractor.createSubTypesInfo(TypeExtractor.java:1133) 
>
>     at 
> org.apache.flink.api.java.typeutils.TypeExtractor.createTypeInfoWithTypeHierarchy(TypeExtractor.java:853) 
>
>     at 
> org.apache.flink.api.java.typeutils.TypeExtractor.privateCreateTypeInfo(TypeExtractor.java:803) 
>
>     at 
> org.apache.flink.api.java.typeutils.TypeExtractor.getUnaryOperatorReturnType(TypeExtractor.java:587) 
>
>     at 
> org.apache.flink.streaming.api.datastream.DataStream.process(DataStream.java:633) 
> ||
>
> If I try to add a|returns()|to the code, like this:
>
> DataStream<...> merged = stream1.union(stream2)
>     .process(...)
>     .returns(new TypeHint<MyGenericContainer>() {}) ||
>
> then I get a different exception:
>
> Exception in thread "main" 
> org.apache.flink.util.FlinkRuntimeException: The TypeHint is using a 
> generic variable.This is not supported, generic types must be fully 
> specified for the TypeHint.||
>
> Is this sort of thing supported or is there another way of joining 
> multiple streams into a single stream, where each stream object will 
> have a specific type of a common generic type?
>
>
> Many thanks,
>
> John
>
>