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Showing content from https://spark.apache.org/docs/latest/api/R/reference/rowsBetween.html below:

rowsBetween — rowsBetween • SparkR

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

rowsBetween(x, start, end)

# S4 method for class 'WindowSpec,numeric,numeric'
rowsBetween(x, start, end)

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.

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 7.

rowsBetween since 2.0.0

if (FALSE) { # \dontrun{
  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)
} # }

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