| Prompt: |
| Is CSV format supported in Apache Beam? |
| |
| Response: |
| [CSV](https://en.wikipedia.org/wiki/Comma-separated_values) is a data format for storing and exchanging data. Apache Beam supports reading data from and writing data to CSV files using the `ReadFromText` and `WriteToText` transforms in the `TextIO` module. For more information, see the TextIO connector documentation: |
| * [Java](https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/TextIO.html) |
| * [Python](https://beam.apache.org/releases/pydoc/current/apache_beam.io.textio.html) |
| * [Go](https://pkg.go.dev/github.com/apache/beam/sdks/v2/go/pkg/beam/io/textio) |
| * [Typescript](https://github.com/apache/beam/blob/master/sdks/typescript/src/apache_beam/io/textio.ts) |
| |
| To get started with CSV and Apache Beam, refer to the [Dataflow Cookbook GitHub repository](https://github.com/GoogleCloudPlatform/dataflow-cookbook). |
| |
| Here's an example of Apache Beam pipeline code for reading data from a CSV file: |
| |
| ```python |
| class CsvOptions(PipelineOptions): |
| @classmethod |
| def _add_argparse_args(cls, parser): |
| parser.add_argument( |
| '--file_path', |
| default="gs://your-bucket/your-file.csv", |
| help='Csv file path' |
| ) |
| |
| options = CsvOptions() |
| |
| with beam.Pipeline(options=options) as p: |
| output = (p | "Read from Csv file" >> ReadFromCsv( |
| path=options.file_path |
| ) |
| | "Log Data" >> Map(logging.info)) |
| |
| ``` |