rename — rename • SparkR

Rename an existing column in a SparkDataFrame.

Usage

rename(x, ...)

withColumnRenamed(x, existingCol, newCol)

# S4 method for class 'SparkDataFrame,character,character'
withColumnRenamed(x, existingCol, newCol)

# S4 method for class 'SparkDataFrame'
rename(x, ...)

Arguments

x: A SparkDataFrame
...: A named pair of the form new_column_name = existing_column
existingCol: The name of the column you want to change.
newCol: The new column name.

Value

A SparkDataFrame with the column name changed.

Note

withColumnRenamed since 1.4.0

rename since 1.4.0

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(), dropDuplicates(), 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(), 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)
newDF <- withColumnRenamed(df, "col1", "newCol1")
} # }
if (FALSE) { # \dontrun{
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
newDF <- rename(df, col1 = df$newCol1)
} # }