View source: R/data_interface.R
spark_write_csv | 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://"’, ‘"s3a://"’ 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 character 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 |
A For more details see also https://spark.apache.org/docs/latest/sql-programming-guide.html#save-modes for your version of Spark. |
partition_by |
A |
... |
Optional arguments; currently unused. |
Other Spark serialization routines:
collect_from_rds()
,
spark_insert_table()
,
spark_load_table()
,
spark_read()
,
spark_read_avro()
,
spark_read_binary()
,
spark_read_csv()
,
spark_read_delta()
,
spark_read_image()
,
spark_read_jdbc()
,
spark_read_json()
,
spark_read_libsvm()
,
spark_read_orc()
,
spark_read_parquet()
,
spark_read_source()
,
spark_read_table()
,
spark_read_text()
,
spark_save_table()
,
spark_write_avro()
,
spark_write_delta()
,
spark_write_jdbc()
,
spark_write_json()
,
spark_write_orc()
,
spark_write_parquet()
,
spark_write_source()
,
spark_write_table()
,
spark_write_text()
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