dropDuplicates {SparkR}R Documentation

dropDuplicates

Description

Returns a new SparkDataFrame with duplicate rows removed, considering only the subset of columns.

Usage

dropDuplicates(x, colNames = columns(x))

## S4 method for signature 'SparkDataFrame'
dropDuplicates(x, colNames = columns(x))

Arguments

x

A SparkDataFrame.

colnames

A character vector of column names.

Value

A SparkDataFrame with duplicate rows removed.

See Also

Other SparkDataFrame functions: SparkDataFrame-class, [[, agg, arrange, as.data.frame, attach, cache, collect, colnames, coltypes, columns, count, dapply, describe, dim, distinct, dropna, drop, dtypes, except, explain, filter, first, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, persist, printSchema, registerTempTable, rename, repartition, sample, saveAsTable, selectExpr, select, showDF, show, str, take, unionAll, unpersist, withColumn, write.df, write.jdbc, write.json, write.parquet, write.text

Examples

## Not run: 
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D dropDuplicates(df)
##D dropDuplicates(df, c("col1", "col2"))
## End(Not run)

[Package SparkR version 2.0.0 Index]