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, ...)
A Spark DataFrame or dplyr operation
The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3n://" and "file://" protocols.
Should the first row of data be used as a header? Defaults to TRUE
.
The character used to delimit each column, defaults to ,
.
The character used as a quote, defaults to "hdfs://"
.
The chatacter used to escape other characters, defaults to \
.
The character set, defaults to "UTF-8"
.
The character to use for default values, defaults to NULL
.
A list of strings with additional options.
Specifies the behavior when data or table already exists.
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_save_table
,
spark_write_jdbc
,
spark_write_json
,
spark_write_parquet
,
spark_write_source
,
spark_write_table