[jira] [Updated] (BEAM-10833) Error inferring type of tuple output

["Robert Bradshaw (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-10833?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Robert Bradshaw updated BEAM-10833:
-----------------------------------
    Description: 
{code:python}
with beam.Pipeline() as p:

  class Foo(beam.DoFn):
    def process(self, element):
      k, v = element
      yield (k, {k:v})

  a = [('a',1), ('a',1), ('b',1)]

  input = p | beam.Create(a)
  print(input.element_type)  # ok

  pcoll = input | beam.ParDo(Foo())
  print(pcoll.element_type) # claims Tuple[int, Dict[Any, Any]]

# BOOM on run due to coder errors
{code}


  was:
```
with beam.Pipeline() as p:

  class Foo(beam.DoFn):
    def process(self, element):
      k, v = element
      yield (k, {k:v})

  a = [('a',1), ('a',1), ('b',1)]

  input = p | beam.Create(a)
  print(input.element_type)  # ok

  pcoll = input | beam.ParDo(Foo())
  print(pcoll.element_type) # claims Tuple[int, Dict[Any, Any]]

# BOOM on run due to coder errors
```


> Error inferring type of tuple output
> ------------------------------------
>
>                 Key: BEAM-10833
>                 URL: https://issues.apache.org/jira/browse/BEAM-10833
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Robert Bradshaw
>            Priority: P1
>
> {code:python}
> with beam.Pipeline() as p:
>   class Foo(beam.DoFn):
>     def process(self, element):
>       k, v = element
>       yield (k, {k:v})
>   a = [('a',1), ('a',1), ('b',1)]
>   input = p | beam.Create(a)
>   print(input.element_type)  # ok
>   pcoll = input | beam.ParDo(Foo())
>   print(pcoll.element_type) # claims Tuple[int, Dict[Any, Any]]
> # BOOM on run due to coder errors
> {code}



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