write.json {SparkR} | R Documentation |
Save the contents of a SparkDataFrame as a JSON file ( JSON Lines text format or newline-delimited JSON). Files written out with this method can be read back in as a SparkDataFrame using read.json().
write.json(x, path, ...) ## S4 method for signature 'SparkDataFrame,character' write.json(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.json since 1.6.0
Other SparkDataFrame functions: SparkDataFrame-class
,
agg
, arrange
,
as.data.frame
, attach
,
cache
, 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
, histogram
,
insertInto
, intersect
,
isLocal
, join
,
limit
, merge
,
mutate
, ncol
,
nrow
, persist
,
printSchema
, randomSplit
,
rbind
, registerTempTable
,
rename
, repartition
,
sample
, saveAsTable
,
schema
, selectExpr
,
select
, showDF
,
show
, storageLevel
,
str
, subset
,
take
, union
,
unpersist
, withColumn
,
with
, write.df
,
write.jdbc
, write.orc
,
write.parquet
, write.text
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D write.json(df, "/tmp/sparkr-tmp/")
## End(Not run)