write.text: Save the content of SparkDataFrame in a text file at the...

In SparkR: R Front End for 'Apache Spark'

Description

Save the content of the SparkDataFrame in a text file at the specified path. The SparkDataFrame must have only one column of string type with the name "value". Each row becomes a new line in the output file. The text files will be encoded as UTF-8.

Usage

write.text(x, path, ...)

## S4 method for signature 'SparkDataFrame,character'
write.text(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.text since 2.0.0

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.json(), write.orc(), write.parquet(), write.stream()

Examples

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

## End(Not run)

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