![]() Returns the value that is `offset` rows after the current row, and `null` if there is less than `offset` rows after the current row.īefore we start with an example, first let’s create a DataFrame to work with. Lead(columnName: String, offset: Int, defaultValue: Any): Column ![]() Lead(columnName: String, offset: Int): Column Returns the value that is `offset` rows before the current row, and `null` if there is less than `offset` rows before the current row. Lag(columnName: String, offset: Int, defaultValue: Any): Column Lag(columnName: String, offset: Int): Column Returns the cumulative distribution of values within a window partition Returns the ntile id in a window partition Returns the rank of rows within a window partition without any gaps. Returns the percentile rank of rows within a window partition. Returns the rank of rows within a window partition, with gaps. Returns a sequential number starting from 1 within a window partition To perform an operation on a group first, we need to partition the data using Window.partitionBy(), and for row number and rank function we need to additionally order by on partition data using orderBy clause.Ĭlick on each link to know more about these functions along with the Scala examples.
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