write.text {SparkR} | R Documentation |
Save the content of the SparkDataFrame in a text file at the specified path. The SparkDataFrame must have only one column of string type with the name "value". Each row becomes a new line in the output file.
write.text(x, path, ...) ## S4 method for signature 'SparkDataFrame,character' write.text(x, path, mode = "error", ...)
x |
A SparkDataFrame |
path |
The directory where the file is saved |
... |
additional argument(s) passed to the method. |
mode |
one of 'append', 'overwrite', 'error', 'ignore' save mode (it is 'error' by default) |
write.text since 2.0.0
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
,
rename
, 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
## Not run:
##D sparkR.session()
##D path <- "path/to/file.txt"
##D df <- read.text(path)
##D write.text(df, "/tmp/sparkr-tmp/")
## End(Not run)