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)