SparkR (version 2.1.2)

rename: rename

Description

Rename an existing column in a SparkDataFrame.

Usage

rename(x, ...)
withColumnRenamed(x, existingCol, newCol)
# S4 method for SparkDataFrame,character,character
withColumnRenamed(x, existingCol,
  newCol)
# S4 method for 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.

See Also

mutate

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, as.data.frame, attach, cache, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, repartition, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, take, union, unpersist, withColumn, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.text

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
newDF <- withColumnRenamed(df, "col1", "newCol1")
# }
# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
newDF <- rename(df, col1 = df$newCol1)
# }