| write.df {SparkR} | R Documentation |
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.
write.df(df, path, ...) saveDF(df, path, source = NULL, mode = "error", ...) write.df(df, path, ...) ## S4 method for signature 'SparkDataFrame,character' write.df(df, path, source = NULL, mode = "error", ...) ## S4 method for signature 'SparkDataFrame,character' saveDF(df, path, source = NULL, mode = "error", ...)
df |
A SparkDataFrame |
path |
A name for the table |
source |
A name for external data source |
mode |
One of 'append', 'overwrite', 'error', 'ignore' save mode (it is 'error' by default) |
Additionally, mode is used to specify the behavior of the save operation when
data already exists in the data source. There are four modes:
append: Contents of this SparkDataFrame are expected to be appended to existing data.
overwrite: Existing data is expected to be overwritten by the contents of this
SparkDataFrame.
error: An exception is expected to be thrown.
ignore: The save operation is expected to not save the contents of the SparkDataFrame
and to not change the existing data.
Other SparkDataFrame functions: SparkDataFrame-class,
[[, agg,
arrange, as.data.frame,
attach, cache,
collect, colnames,
coltypes, columns,
count, dapply,
describe, dim,
distinct, dropDuplicates,
dropna, drop,
dtypes, except,
explain, filter,
first, group_by,
head, histogram,
insertInto, intersect,
isLocal, join,
limit, merge,
mutate, ncol,
persist, printSchema,
registerTempTable, rename,
repartition, sample,
saveAsTable, selectExpr,
select, showDF,
show, str,
take, unionAll,
unpersist, withColumn,
write.jdbc, write.json,
write.parquet, write.text
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D write.df(df, "myfile", "parquet", "overwrite")
##D saveDF(df, parquetPath2, "parquet", mode = saveMode, mergeSchema = mergeSchema)
## End(Not run)