Tutorial 3g Composite Transformation in Apache Beam

Github url: https://github.com/vigneshSs-07/Cloud-AI-Analytics/tree/main/Apache%20Beam%20-Python

Composite Transform:
• Transforms can have a nested structure, where a complex transform performs multiple simpler transforms (such as more than one ParDo, Combine, GroupByKey, or even other transforms). These transforms are called composite transforms.
• Nesting multiple transforms inside a single composite transform can make your code more modular and easier to understand.
Creating a composite transform:
• To create your own composite transform, create a subclass of the PTransform class and override the expand method to specify the actual processing logic.
• The transforms can include core transforms, composite transforms, or the transforms included in the Beam SDK libraries.
• The following code sample shows how to declare a PTransform that accepts a PCollection of Strings for input, and outputs a PCollection of Integers:

Resources:
• https://beam.apache.org/documentation/programming-guide/#composite-transforms
• https://beam.apache.org/releases/pydoc/2.36.0/apache_beam.transforms.html

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