Prompt: Write the Python code to read data from Oracle JDBC using Apache Beam.
Response: Your Apache Beam pipeline can read data from an Oracle Java Database Connectivity (JDBC) enabled database using the JdbcIO connector.
import logging import apache_beam as beam import typing from apache_beam import coders from apache_beam import Map from apache_beam.io.jdbc import ReadFromJdbc from apache_beam.options.pipeline_options import PipelineOptions from typing import NamedTuple class ExampleRow(NamedTuple): id: int name: str class JdbcOptions(PipelineOptions): @classmethod def _add_argparse_args(cls, parser): parser.add_argument( '--table_name', help='Table name' ) parser.add_argument( '--jdbc_url', help='JDBC URL' ) parser.add_argument( '--driver_class_name', help='Driver class name' ) parser.add_argument( '--username', help='Username' ) parser.add_argument( '--password', help='Password' ) def run(): """ This pipeline shows how to read from JDBC. """ options = JdbcOptions() coders.registry.register_coder(ExampleRow, coders.RowCoder) with beam.Pipeline(options=options) as p: output = (p | 'Read from JDBC' >> ReadFromJdbc( table_name=options.table_name, driver_class_name=options.driver_class_name, jdbc_url=options.jdbc_url, username=options.username, password=options.password ) | 'Log Data' >> Map(logging.info)) if __name__ == "__main__": logging.getLogger().setLevel(logging.INFO) run()
The JdbcOptions class is a custom class that extends the PipelineOptions object. This code uses pipeline options to parse command line arguments.
The code creates an Apache Beam pipeline using the JdbcOptions class to set the JDBC connection information and the ReadFromJdbc transform to read data from the database via JDBC.