pyspark.sql.DataFrame.collect

DataFrame.collect() → List[pyspark.sql.types.Row]

Returns all the records as a list of Row.

Examples

>>> df.collect()
[Row(age=2, name='Alice'), Row(age=5, name='Bob')]

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