dropDuplicates

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dropDuplicates

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.

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(), dapplyCollect(), dapply(), describe(), dim(), distinct(), dropna(), drop(), dtypes(), exceptAll(), except(), explain(), filter(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersectAll(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartitionByRange(), repartition(), rollup(), sample(), saveAsTable(), schema(), selectExpr(), select(), showDF(), show(), storageLevel(), str(), subset(), summary(), take(), toJSON(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Aliases
  • dropDuplicates
  • dropDuplicates,SparkDataFrame-method
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"))
# }
Documentation reproduced from package SparkR, version 2.4.6, License: Apache License (== 2.0)

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