Prompt: Write the Python code to read data from Apache Parquet files using Apache Beam.

Response: Your Apache Beam pipeline can read data from Apache Parquet files using the ParquetIO connector.

import logging

import apache_beam as beam
from apache_beam import Map
from apache_beam.io.parquetio import ReadFromParquet
from apache_beam.options.pipeline_options import PipelineOptions


def run(argv=None):

  class ReadParquetOptions(PipelineOptions):

    @classmethod
    def _add_argparse_args(cls, parser):
      parser.add_argument(
          "--path",
          help="GCS path to Parquet file")

  options = ReadParquetOptions()

  with beam.Pipeline(options=options) as p:

    (p | "Read Parquet" >> ReadFromParquet(options.path)
       | Map(logging.info))


if __name__ == "__main__":
  logging.getLogger().setLevel(logging.INFO)
  run()

The ReadParquetOptions class is used to define the command-line argument --path, which specifies the path to the Parquet file. This code uses pipeline options for the required path argument.

The code creates an Apache Beam pipeline using the ReadParquetOptions class to set the Parquet file path and the ReadFromParquet transform to read data from the file.