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

windowPartitionBy — windowPartitionBy • SparkR

Creates a WindowSpec with the partitioning defined.

windowPartitionBy(col, ...)

# S4 method for class 'character'
windowPartitionBy(col, ...)

# S4 method for class 'Column'
windowPartitionBy(col, ...)

col

A column name or Column by which rows are partitioned to windows.

...

Optional column names or Columns in addition to col, by which rows are partitioned to windows.

windowPartitionBy(character) since 2.0.0

windowPartitionBy(Column) since 2.0.0

if (FALSE) { # \dontrun{
  ws <- orderBy(windowPartitionBy("key1", "key2"), "key3")
  df1 <- select(df, over(lead("value", 1), ws))

  ws <- orderBy(windowPartitionBy(df$key1, df$key2), df$key3)
  df1 <- select(df, over(lead("value", 1), ws))
} # }

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