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Sort a SparkDataFrame by the specified column(s).

Usage

arrange(x, col, ...)

# S4 method for class 'SparkDataFrame,Column'
arrange(x, col, ..., withinPartitions = FALSE)

# S4 method for class 'SparkDataFrame,character'
arrange(x, col, ..., decreasing = FALSE, withinPartitions = FALSE)

# S4 method for class 'SparkDataFrame,characterOrColumn'
orderBy(x, col, ...)

Arguments

x

a SparkDataFrame to be sorted.

col

a character or Column object indicating the fields to sort on

...

additional sorting fields

withinPartitions

a logical argument indicating whether to sort only within each partition

decreasing

a logical argument indicating sorting order for columns when a character vector is specified for col

Value

A SparkDataFrame where all elements are sorted.

Note

arrange(SparkDataFrame, Column) since 1.4.0

arrange(SparkDataFrame, character) since 1.4.0

orderBy(SparkDataFrame, characterOrColumn) since 1.4.0

Examples

if (FALSE) { # \dontrun{
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
arrange(df, df$col1)
arrange(df, asc(df$col1), desc(abs(df$col2)))
arrange(df, "col1", decreasing = TRUE)
arrange(df, "col1", "col2", decreasing = c(TRUE, FALSE))
arrange(df, "col1", "col2", withinPartitions = TRUE)
} # }