| 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, 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,
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
## 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)