rowsBetween: rowsBetween

In SparkR: R Front End for 'Apache Spark'

Description

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

Usage

rowsBetween(x, start, end)

## S4 method for signature 'WindowSpec,numeric,numeric'
rowsBetween(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 positions from the current row. For example, "0" means "current row", while "-1" means the row before the current row, and "5" means the fifth row 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 row based boundary is based on the position of the row within the partition. An offset indicates the number of rows above or below the current row, the frame for the current row starts or ends. For instance, given a row based sliding frame with a lower bound offset of -1 and a upper bound offset of +2. The frame for row with index 5 would range from index 4 to index 6.

Value

a WindowSpec

Note

rowsBetween since 2.0.0

See Also

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

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$id)
  w2 <- rowsBetween(w1, 0, 3)
  df1 <- withColumn(df, "sum", over(sum(df$id), w2))
  head(df1)

## End(Not run)

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