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| |
| ReadFromText |
| ------------ |
| |
| When you create a pipeline, you often need to read data from some external source, such as a file |
| or a database. Likewise, you may want your pipeline to output its result data to an external |
| storage system. Beam provides read and write transforms for a number of common data storage types. |
| If you want your pipeline to read from or write to a data storage format that isn’t supported by |
| the built-in transforms, you can implement your own read and write transforms. |
| |
| To read a PCollection from one or more text files, use beam.io.ReadFromText to instantiate a |
| transform and specify the path of the file(s) to be read. |
| |
| **Kata:** Read the 'countries.txt' file and convert each country name into uppercase. |
| |
| <div class="hint"> |
| Use <a href="https://beam.apache.org/releases/pydoc/current/apache_beam.io.textio.html#apache_beam.io.textio.ReadFromText"> |
| beam.io.ReadFromText</a>. |
| </div> |
| |
| <div class="hint"> |
| Refer to the Beam Programming Guide |
| <a href="https://beam.apache.org/documentation/programming-guide/#pipeline-io-reading-data"> |
| "Reading input data"</a> section for more information. |
| </div> |
| |
| Built-in I/Os |
| ------------- |
| |
| Beam SDKs provide many out of the box I/O transforms that can be used to read from many different |
| sources and write to many different sinks. |
| |
| See the [Beam-provided I/O Transforms](https://beam.apache.org/documentation/io/built-in/) page |
| for a list of the currently available I/O transforms. |
