Get a Complete Overview on PySpark Filter from HKR Trainings

In PySpark, the filter operation is used to extract elements from a dataset based on a given condition. It enables data filtering by applying a Boolean expression on each element and retaining only those that satisfy the condition.

The filter function takes a lambda function or a Python function as its argument, which defines the filtering criteria. This lambda function evaluates each element in the dataset and returns True if the element should be included or False if it should be excluded. The filtered dataset contains only the elements that satisfy the condition.

By using filter in PySpark, you can efficiently process large-scale datasets and extract the desired subset of data based on specific requirements. It provides a powerful mechanism for data manipulation and analysis, enhancing the capabilities of Spark for big data processing and analytics tasks.

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