| 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 |
existingCol |
The name of the column you want to change. |
newCol |
The new column name. |
newColPair |
A named pair of the form new_column_name = existing_column |
A SparkDataFrame with the column name changed.
Other SparkDataFrame functions: SparkDataFrame-class,
[[, agg,
arrange, as.data.frame,
attach, cache,
collect, colnames,
coltypes, columns,
count, dapply,
describe, dim,
distinct, dropDuplicates,
dropna, drop,
dtypes, except,
explain, filter,
first, group_by,
head, histogram,
insertInto, intersect,
isLocal, join,
limit, merge,
mutate, ncol,
persist, printSchema,
registerTempTable,
repartition, sample,
saveAsTable, selectExpr,
select, showDF,
show, str,
take, unionAll,
unpersist, withColumn,
write.df, write.jdbc,
write.json, write.parquet,
write.text
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D newDF <- withColumnRenamed(df, "col1", "newCol1")
## End(Not run)
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D newDF <- rename(df, col1 = df$newCol1)
## End(Not run)