SparkR (version 2.3.0)

colnames: 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 SparkDataFrame
columns(x)
# S4 method for SparkDataFrame
names(x)
# S4 method for SparkDataFrame
names(x) <- value
# S4 method for SparkDataFrame
colnames(x)
# S4 method for 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.

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, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, hint, histogram, insertInto, intersect, isLocal, isStreaming, join, limit, localCheckpoint, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, 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

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
columns(df)
colnames(df)
# }