toJSON: toJSON

In SparkR: R Front End for 'Apache Spark'

Description

Converts a SparkDataFrame into a SparkDataFrame of JSON string. 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

Usage

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

Arguments

x	a SparkDataFrame

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

Examples

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

## End(Not run)

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