Write a Spark DataFrame to a tabular (typically, comma-separated) file.

spark_write_csv(x, path, header = TRUE, delimiter = ",", quote = "\"",
  escape = "\\", charset = "UTF-8", null_value = NULL,
  options = list(), mode = NULL)

Arguments

x

A Spark DataFrame or dplyr operation

path

The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3n://" and "file://" protocols.

header

Should the first row of data be used as a header? Defaults to TRUE.

delimiter

The character used to delimit each column, defaults to ,.

quote

The character used as a quote, defaults to "hdfs://".

escape

The chatacter used to escape other characters, defaults to \.

charset

The character set, defaults to "UTF-8".

null_value

The character to use for default values, defaults to NULL.

options

A list of strings with additional options.

mode

Specifies the behavior when data or table already exists.

See also

Other Spark serialization routines: spark_load_table, spark_read_csv, spark_read_jdbc, spark_read_json, spark_read_parquet, spark_read_table, spark_save_table, spark_write_json, spark_write_parquet, spark_write_table