同时考虑到所有的列：在javadoc中，distinc（）和dropDuplicates（）没有区别。.distinct()-返回对于所有列组合唯一的行.dropDuplicates()-.distinct()的别名.dropDuplicates(["col1", "col2", ....])-返回对于所提到的列组合唯一的行。即，[“col 1”，“col 2”，....]
1. Differences Between PySpark distinct vs dropDuplicates The maindifference between distinct() vs dropDuplicates() functions in PySparkare the former is used to select distinct rows from all columns of the DataFrame and the latter is usedselect distinct on selected columns. Let’s create a DataFr...
ThedropDuplicates()method, when invoked on a pyspark dataframe, drops all the duplicate rows. Hence, when we invoke thecount()method on the dataframe returned by thedropDuplicates()method, we get the count of distinct rows in the dataframe. Pyspark Count Values in a Column To count the valu...
PySparkdistinct()transformation is used to drop/remove the duplicate rows (all columns) from DataFrame anddropDuplicates()is used to drop rows based on selected (one or multiple) columns.distinct()anddropDuplicates()returns a new DataFrame. In this article, you will learn how to use distinct()...