write.json: Save the contents of SparkDataFrame as a JSON file

In SparkR: R Front End for 'Apache Spark'

Description

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().

Usage

write.json(x, path, ...)

## S4 method for signature 'SparkDataFrame,character'
write.json(x, path, mode = "error", ...)

Arguments

x	A SparkDataFrame
path	The directory where the file is saved
...	additional argument(s) passed to the method.
mode	one of 'append', 'overwrite', 'error', 'errorifexists', 'ignore' save mode (it is 'error' by default)

Note

write.json since 1.6.0

See Also

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(), exceptAll(), except(), explain(), filter(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersectAll(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartitionByRange(), repartition(), rollup(), sample(), saveAsTable(), schema(), selectExpr(), select(), showDF(), show(), storageLevel(), str(), subset(), summary(), take(), toJSON(), unionAll(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

## Not run: 
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
write.json(df, "/tmp/sparkr-tmp/")

## End(Not run)

SparkR documentation built on June 3, 2021, 5:05 p.m.