Apache Flink DataSet API – Common Operators
The DataSet API in Apache Flink is designed for processing finite (bounded) datasets. It supports a variety of operators to transform, filter, and aggregate your data effectively. Here are some of the most commonly used operators along with brief explanations.
This operator applies a given function to each element in the dataset and returns a new dataset with the transformed elements. It is commonly used for basic data conversion or calculation tasks.
Similar to the Map operator, but instead of returning exactly one element, it can return zero or more elements for each input. It is especially useful when you want to split strings or expand nested data structures.
Filters elements based on a condition. Only those elements for which the condition returns true are retained in the output dataset. It is used for cleaning or narrowing down data.
Performs aggregation functions like sum, min, max, etc., on grouped datasets. This is typically used after a groupBy operation to compute summary statistics or totals.
Combines elements of a dataset using a binary function. This operator continuously merges elements to produce a single output per group or for the entire dataset. Ideal for custom aggregation logic.
These operators are fundamental to building batch processing applications with Flink. By combining them effectively, you can create efficient pipelines for complex data transformations.
0 comments:
If you have any doubts,please let me know