write.df {SparkR}R Documentation

Save the contents of SparkDataFrame to a data source.

Description

The data source is specified by the source and a set of options (...). If source is not specified, the default data source configured by spark.sql.sources.default will be used.

Usage

write.df(df, path = NULL, ...)

saveDF(df, path, source = NULL, mode = "error", ...)

write.df(df, path = NULL, ...)

## S4 method for signature 'SparkDataFrame'
write.df(df, path = NULL, source = NULL,
  mode = "error", ...)

## S4 method for signature 'SparkDataFrame,character'
saveDF(df, path, source = NULL,
  mode = "error", ...)

Arguments

df

a SparkDataFrame.

path

a name for the table.

...

additional argument(s) passed to the method.

source

a name for external data source.

mode

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

Details

Additionally, mode is used to specify the behavior of the save operation when data already exists in the data source. There are four modes:

Note

write.df since 1.4.0

saveDF since 1.4.0

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, as.data.frame, attach, cache, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, take, union, unpersist, withColumn, with, write.jdbc, write.json, write.orc, write.parquet, write.text

Examples

## Not run: 
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D write.df(df, "myfile", "parquet", "overwrite")
##D saveDF(df, parquetPath2, "parquet", mode = saveMode, mergeSchema = mergeSchema)
## End(Not run)

[Package SparkR version 2.1.2 Index]