sparklyr (version 0.6.4)

spark_write_source: Writes a Spark DataFrame into a generic source

Description

Writes a Spark DataFrame into a generic source.

Usage

spark_write_source(x, name, source, mode = NULL, options = list(),
  partition_by = NULL, ...)

Arguments

x

A Spark DataFrame or dplyr operation

name

The name to assign to the newly generated table.

source

A data source capable of reading data.

mode

Specifies the behavior when data or table already exists.

options

A list of strings with additional options.

partition_by

Partitions the output by the given columns on the file system.

...

Optional arguments; currently unused.

See Also

Other Spark serialization routines: spark_load_table, spark_read_csv, spark_read_jdbc, spark_read_json, spark_read_parquet, spark_read_source, spark_read_table, spark_read_text, spark_save_table, spark_write_csv, spark_write_jdbc, spark_write_json, spark_write_parquet, spark_write_table, spark_write_text