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())

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.

See also

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