Yes, the pipeline is quite small:
pipeline.apply("source",
Read.from(new CustomSource())).setCoder(CustomSource.coder)
.apply("GlobalCombine", Combine.globally(new
CustomCombineFn())).setCoder(CustomTuple.coder);
The InputT is not the same as OutputT, so the input coder can't be used.
On 2017-04-07 08:58 (-0500), Aviem Zur <aviem...@gmail.com> wrote:
> Have you set the coder for your input PCollection? The one on which you
> perform the Combine?
>
> On Fri, Apr 7, 2017 at 4:24 PM Paul Gerver <pfger...@gmail.com> wrote:
>
> > Hello All,
> >
> > I'm trying to test out a Combine.Globally transform which takes in a small
> > custom class (CustomA) and outputs a secondary custom class (CustomB). I
> > have set the coder for the resulting PCollection<CustomB>, but Beam is
> > arguing that a coder for a KV type is missing (see output at bottom).
> >
> > Since this a global combine, the input nor the output is of KV type, so I
> > decided to take a look at the Combine code. Since Combine.Globally.expand()
> > performs a perKeys and groupedValues underneath the covers, but requires
> > making an intermediate PCollection KV<Void, OutputT> which--according to
> > the docs--is inferred from the CombineFn.
> >
> > I believe I could workaround this by registering a KvCoder with the
> > CoderRegistry, but that's not intuitive. Is there a better way to address
> > this currently, or should something be added to the CombineFn area for
> > setting an output coder similar to PCollection.
> >
> >
> > Output:
> > Exception in thread "main" java.lang.IllegalStateException: Unable to
> > return a default Coder for
> >
> > GlobalCombine/Combine.perKey(CustomTuple)/Combine.GroupedValues/ParDo(Anonymous).out
> > [Class]. Correct one of the following root causes:
> > No Coder has been manually specified; you may do so using .setCoder().
> > Inferring a Coder from the CoderRegistry failed: Unable to provide a
> > default Coder for org.apache.beam.sdk.values.KV<K, OutputT>. Correct one of
> > the following root causes:
> > Building a Coder using a registered CoderFactory failed: Cannot provide
> > coder for parameterized type org.apache.beam.sdk.values.KV<K, OutputT>:
> > Unable to provide a default Coder for java.lang.Object. Correct one of the
> > following root causes:
> >
> >
> > Stack:
> > at
> >
> > org.apache.beam.sdk.repackaged.com.google.common.base.Preconditions.checkState(Preconditions.java:174)
> > at
> > org.apache.beam.sdk.values.TypedPValue.getCoder(TypedPValue.java:51)
> > at
> > org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:130)
> > at
> >
> > org.apache.beam.sdk.values.TypedPValue.finishSpecifying(TypedPValue.java:90)
> > at
> >
> > org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:95)
> > at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:386)
> > at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:302)
> > at
> > org.apache.beam.sdk.values.PCollection.apply(PCollection.java:154)
> > at
> > org.apache.beam.sdk.transforms.Combine$Globally.expand(Combine.java:1460)
> > at
> > org.apache.beam.sdk.transforms.Combine$Globally.expand(Combine.java:1337)
> > at
> > org.apache.beam.sdk.runners.PipelineRunner.apply(PipelineRunner.java:76)
> > at
> > org.apache.beam.runners.direct.DirectRunner.apply(DirectRunner.java:296)
> > at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:388)
> > at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:318)
> > at
> > org.apache.beam.sdk.values.PCollection.apply(PCollection.java:167)
> > at
> > org.iastate.edu.CombineTestPipeline.main(CombineTestPipeline.java:110)
> >
> >
> > Let me know. Thanks!
> > -Paul G
> >
> > --
> > *Paul Gerver*
> > pfger...@gmail.com
> >
>
