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.
## S4 method for signature 'DataFrame,character' write.df(df, path, source = NULL, mode = "append", ...) ## S4 method for signature 'DataFrame,character' saveDF(df, path, source = NULL, mode = "append", ...) write.df(df, path, ...) saveDF(df, path, ...)
df |
A SparkSQL DataFrame |
path |
A name for the table |
source |
A name for external data source |
mode |
One of 'append', 'overwrite', 'error', 'ignore' save mode |
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 DataFrame are expected to be appended to existing data.
overwrite: Existing data is expected to be overwritten by the contents of this DataFrame.
error: An exception is expected to be thrown.
ignore: The save operation is expected to not save the contents of the DataFrame
and to not change the existing data.
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- jsonFile(sqlContext, path)
##D write.df(df, "myfile", "parquet", "overwrite")
##D saveDF(df, parquetPath2, "parquet", mode = saveMode, mergeSchema = mergeSchema)
## End(Not run)