dropDuplicates()
command in Spark is used to remove duplicate rows from a DataFrame. It is similar to the distinct()
command but provides more flexibility by allowing you to specify a subset of columns to consider when identifying duplicates. This is particularly useful when you want to remove duplicates based on specific columns rather than the entire row.
None
, all columns are considered.dropDuplicates()
judiciously on large datasets, as it involves shuffling and sorting.dropDuplicates()
command is used to remove duplicate rows from a DataFrame.SELECT DISTINCT
.