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

Response: You can read data from Apache Parquet files using the Apache Beam 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.

A Beam pipeline is created using the ReadParquetOptions class and the ReadFromParquet transform is used to read data from the Parquet file.