write.json {SparkR}R Documentation

Save the contents of SparkDataFrame as a JSON file


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", ...)



A SparkDataFrame


The directory where the file is saved


additional argument(s) passed to the method.


one of 'append', 'overwrite', 'error', 'errorifexists', 'ignore' save mode (it is 'error' by default)


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, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, hint, histogram, insertInto, intersect, isLocal, isStreaming, join, limit, localCheckpoint, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, rollup, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, summary, take, toJSON, unionByName, union, unpersist, withColumn, withWatermark, with, write.df, write.jdbc, 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 write.json(df, "/tmp/sparkr-tmp/")
## End(Not run)

[Package SparkR version 2.3.1 Index]