Column Names of SparkDataFrame

Description

Return a vector of column names.

Usage

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

colnames(x) <- value

columns(x)

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

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

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

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

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

Arguments

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(), dapplyCollect(), dapply(), describe(), dim(), distinct(), dropDuplicates(), 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(), unionAll(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

## Not run: 
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D columns(df)
##D colnames(df)
## End(Not run)