Created
September 8, 2021 17:10
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| import argparse | |
| from typing import Iterable | |
| from typing import List | |
| from typing import Tuple | |
| from typing import Union | |
| import apache_beam as beam | |
| from apache_beam.transforms.combiners import ToDictCombineFn | |
| from apache_beam.transforms.combiners import ToSetCombineFn | |
| from apache_beam.options.pipeline_options import PipelineOptions | |
| from apache_beam.options.pipeline_options import SetupOptions | |
| from apache_beam.pvalue import TaggedOutput | |
| class Foobar(beam.DoFn): | |
| KV = 'foo' | |
| KKV = 'bar' | |
| def process(self, element: str) -> Iterable[Union[ | |
| Tuple[str, str], | |
| Tuple[str, Tuple[str, List[str]]] | |
| ]]: | |
| if len(element) % 2: | |
| # Output to main i.e. KV | |
| yield (element, 'foo') | |
| else: | |
| yield TaggedOutput(Foobar.KKV, | |
| (element, (element + 'bar', ['baz']))) | |
| def run(argv=None, save_main_session=True): | |
| parser = argparse.ArgumentParser() | |
| _, pipeline_args = parser.parse_known_args(argv) | |
| pipeline_options = PipelineOptions() | |
| pipeline_options.view_as(SetupOptions).save_main_session =\ | |
| save_main_session | |
| with beam.Pipeline(options=pipeline_options) as p: | |
| partitioned_elements = ( | |
| p | |
| | 'Create some test values' >> beam.Create([ | |
| 'test', | |
| 'tester', | |
| 'testing', | |
| 'tests', | |
| ]) | |
| | 'Partition the test values by length' >> beam.ParDo(Foobar()) | |
| ) | |
| ''' | |
| This seems to run fine on PortableRunner + DirectRunner, but on | |
| Dataflow v2 runner, this fails with: | |
| line: "shuffle_dax_writer.cc:59" | |
| message: "Check failed: kv_coder : expecting a KV coder, but had | |
| Strings | |
| ''' | |
| ( | |
| partitioned_elements[Foobar.KV] | |
| | beam.CombinePerKey(ToSetCombineFn()) | |
| ) | |
| ( | |
| partitioned_elements[Foobar.KKV] | |
| | beam.CombinePerKey(ToDictCombineFn()) | |
| ) | |
| if __name__ == '__main__': | |
| run() |
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