CombineValues
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Combines an iterable of values in a keyed collection of elements.
See more information in the Beam Programming Guide.
Examples
In the following examples, we create a pipeline with a PCollection of produce.
Then, we apply CombineValues in multiple ways to combine the keyed values in the PCollection.
CombineValues accepts a function that takes an iterable of elements as an input, and combines them to return a single element.
CombineValues expects a keyed PCollection of elements, where the value is an iterable of elements to be combined.
Example 1: Combining with a predefined function
We use the function
sum
which takes an iterable of numbers and adds them together.
Example 2: Combining with a function
We want the sum to be bounded up to a maximum value, so we use saturated arithmetic.
We define a function saturated_sum which takes an iterable of numbers and adds them together, up to a predefined maximum number.
Example 3: Combining with a lambda function
We can also use lambda functions to simplify Example 2.
Example 4: Combining with multiple arguments
You can pass functions with multiple arguments to CombineValues.
They are passed as additional positional arguments or keyword arguments to the function.
In this example, the lambda function takes values and max_value as arguments.
Example 5: Combining with a CombineFn
The more general way to combine elements, and the most flexible, is with a class that inherits from CombineFn.
- CombineFn.create_accumulator(): This creates an empty accumulator. For example, an empty accumulator for a sum would be- 0, while an empty accumulator for a product (multiplication) would be- 1.
- CombineFn.add_input(): Called once per element. Takes an accumulator and an input element, combines them and returns the updated accumulator.
- CombineFn.merge_accumulators(): Multiple accumulators could be processed in parallel, so this function helps merging them into a single accumulator.
- CombineFn.extract_output(): It allows to do additional calculations before extracting a result.
Related transforms
You can use the following combiner transforms:
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Last updated on 2025/10/30
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