| 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, arrange,
as.data.frame,
attach,SparkDataFrame-method,
cache, checkpoint,
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, hint,
histogram, insertInto,
intersect, isLocal,
isStreaming, join,
limit, merge,
mutate, ncol,
nrow, persist,
printSchema, randomSplit,
rbind, registerTempTable,
repartition, sample,
saveAsTable, schema,
selectExpr, select,
showDF, show,
storageLevel, str,
subset, take,
toJSON, union,
unpersist, withColumn,
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)