SparkR (version 2.1.2)

dropDuplicates: dropDuplicates

Description

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

Usage

dropDuplicates(x, ...)
# S4 method for SparkDataFrame
dropDuplicates(x, ...)

Arguments

x

A SparkDataFrame.

...

A character vector of column names or string column names. If the first argument contains a character vector, the followings are ignored.

Value

A SparkDataFrame with duplicate rows removed.

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, as.data.frame, attach, cache, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, describe, dim, distinct, 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)
dropDuplicates(df)
dropDuplicates(df, "col1", "col2")
dropDuplicates(df, c("col1", "col2"))
# }