spark_write_csv {sparklyr} | R Documentation |
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, partition_by = NULL, ...)
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 |
delimiter |
The character used to delimit each column, defaults to |
quote |
The character used as a quote, defaults to |
escape |
The chatacter used to escape other characters, defaults to |
charset |
The character set, defaults to |
null_value |
The character to use for default values, defaults to |
options |
A list of strings with additional options. |
mode |
Specifies the behavior when data or table already exists. |
partition_by |
Partitions the output by the given columns on the file system. |
... |
Optional arguments; currently unused. |
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_jdbc
,
spark_write_json
,
spark_write_parquet
,
spark_write_source
,
spark_write_table
,
spark_write_text