dropDuplicates — dropDuplicates • SparkR

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

Usage

dropDuplicates(x, ...)

# S4 method for class '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.

Note

dropDuplicates since 2.0.0

See also

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), cube(), dapply(), dapplyCollect(), describe(), dim(), distinct(), drop(), dropna(), dtypes(), except(), exceptAll(), explain(), filter(), first(), gapply(), gapplyCollect(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersect(), intersectAll(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartition(), repartitionByRange(), rollup(), sample(), saveAsTable(), schema(), select(), selectExpr(), show(), showDF(), storageLevel(), str(), subset(), summary(), take(), toJSON(), union(), unionAll(), unionByName(), unpersist(), unpivot(), with(), withColumn(), withWatermark(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

if (FALSE) { # \dontrun{
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
dropDuplicates(df)
dropDuplicates(df, "col1", "col2")
dropDuplicates(df, c("col1", "col2"))
} # }