SparkR (version 2.1.2)

arrange: Arrange Rows by Variables

Description

Sort a SparkDataFrame by the specified column(s).

Usage

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

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.

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, as.data.frame, attach, cache, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, take, union, unpersist, withColumn, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.text

Examples

# NOT RUN {
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))
# }