Explain Apache Beam python syntax

Question

I have read through the Beam documentation and also looked through Python documentation but haven’t found a good explanation of the syntax being used in most of the example Apache Beam code.

Can anyone explain what the _ , | , and >> are doing in the below code? Also is the text in quotes ie ‘ReadTrainingData’ meaningful or could it be exchanged with any other label? In other words how is that label being used?

train_data = pipeline | 'ReadTrainingData' >> _ReadData(training_data)
evaluate_data = pipeline | 'ReadEvalData' >> _ReadData(eval_data)

input_metadata = dataset_metadata.DatasetMetadata(schema=input_schema)

_ = (input_metadata
| 'WriteInputMetadata' >> tft_beam_io.WriteMetadata(
       os.path.join(output_dir, path_constants.RAW_METADATA_DIR),
       pipeline=pipeline))

preprocessing_fn = reddit.make_preprocessing_fn(frequency_threshold)
(train_dataset, train_metadata), transform_fn = (
  (train_data, input_metadata)
  | 'AnalyzeAndTransform' >> tft.AnalyzeAndTransformDataset(
      preprocessing_fn))

Asked By: dobbysock1002

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Answer 1

Operators in Python can be overloaded. In Beam, | is a synonym for apply, which applies a PTransform to a PCollection to produce a new PCollection. >> allows you to name a step for easier display in various UIs — the string between the | and the >> is only used for these display purposes and identifying that particular application.

See https://beam.apache.org/documentation/programming-guide/#transforms

Answered By: rf-

Explain Apache Beam python syntax

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