rangeBetween: rangeBetween

In SparkR: R Front End for 'Apache Spark'

Description

Defines the frame boundaries, from start (inclusive) to end (inclusive).

Usage

rangeBetween(x, start, end)

## S4 method for signature 'WindowSpec,numeric,numeric'
rangeBetween(x, start, end)

Arguments

x	a WindowSpec
start	boundary start, inclusive. The frame is unbounded if this is the minimum long value.
end	boundary end, inclusive. The frame is unbounded if this is the maximum long value.

Details

Both start and end are relative from the current row. For example, "0" means "current row", while "-1" means one off before the current row, and "5" means the five off after the current row.

We recommend users use Window.unboundedPreceding, Window.unboundedFollowing, and Window.currentRow to specify special boundary values, rather than using long values directly.

A range-based boundary is based on the actual value of the ORDER BY expression(s). An offset is used to alter the value of the ORDER BY expression, for instance if the current ORDER BY expression has a value of 10 and the lower bound offset is -3, the resulting lower bound for the current row will be 10 - 3 = 7. This however puts a number of constraints on the ORDER BY expressions: there can be only one expression and this expression must have a numerical data type. An exception can be made when the offset is unbounded, because no value modification is needed, in this case multiple and non-numeric ORDER BY expression are allowed.

Value

a WindowSpec

Note

rangeBetween since 2.0.0

See Also

Other windowspec_method: orderBy(), partitionBy(), rowsBetween()

Examples

## Not run: 
  id <- c(rep(1, 3), rep(2, 3), 3)
  desc <- c('New', 'New', 'Good', 'New', 'Good', 'Good', 'New')
  df <- data.frame(id, desc)
  df <- createDataFrame(df)
  w1 <- orderBy(windowPartitionBy('desc'), df$id)
  w2 <- rangeBetween(w1, 0, 3)
  df1 <- withColumn(df, "sum", over(sum(df$id), w2))
  head(df1)

## End(Not run)

SparkR documentation built on June 3, 2021, 5:05 p.m.