Column Names of SparkDataFrame

Return a vector of column names.

Usage

colnames(x, do.NULL = TRUE, prefix = "col")

colnames(x) <- value

columns(x)

# S4 method for class 'SparkDataFrame'
columns(x)

# S4 method for class 'SparkDataFrame'
names(x)

# S4 method for class 'SparkDataFrame'
names(x) <- value

# S4 method for class 'SparkDataFrame'
colnames(x)

# S4 method for class 'SparkDataFrame'
colnames(x) <- value

Arguments

x

a SparkDataFrame.

do.NULL

currently not used.

prefix

currently not used.

value

a character vector. Must have the same length as the number of columns to be renamed.

Note

columns since 1.4.0

names since 1.5.0

names<- since 1.5.0

colnames since 1.6.0

colnames<- since 1.6.0

See also

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), 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(), 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)
columns(df)
colnames(df)
} # }