toJSON {SparkR}R Documentation

toJSON

Description

Converts a SparkDataFrame into a SparkDataFrame of JSON string.

Usage

## S4 method for signature 'SparkDataFrame'
toJSON(x)

Arguments

x

a SparkDataFrame

Details

Each row is turned into a JSON document with columns as different fields. The returned SparkDataFrame has a single character column with the name value

Value

a SparkDataFrame

Note

toJSON since 2.2.0

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, unionByName, union, unpersist, withColumn, withWatermark, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.stream, write.text

Examples

## Not run: 
##D sparkR.session()
##D path <- "path/to/file.parquet"
##D df <- read.parquet(path)
##D df_json <- toJSON(df)
## End(Not run)

[Package SparkR version 2.4.3 Index]