| rename {SparkR} | R Documentation |
Rename an existing column in a SparkDataFrame.
rename(x, ...) withColumnRenamed(x, existingCol, newCol) ## S4 method for signature 'SparkDataFrame,character,character' withColumnRenamed(x, existingCol, newCol) ## S4 method for signature 'SparkDataFrame' rename(x, ...)
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. |
A SparkDataFrame with the column name changed.
withColumnRenamed since 1.4.0
rename since 1.4.0
Other SparkDataFrame functions:
SparkDataFrame-class,
agg(),
alias(),
arrange(),
as.data.frame(),
attach,SparkDataFrame-method,
broadcast(),
cache(),
checkpoint(),
coalesce(),
collect(),
colnames(),
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(),
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()
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D newDF <- withColumnRenamed(df, "col1", "newCol1")
## End(Not run)
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D newDF <- rename(df, col1 = df$newCol1)
## End(Not run)