Writes a Spark DataFrame into a generic source
Writes a Spark DataFrame into a generic source.
spark_write_source(x, name, source, mode = NULL, options = list(),
partition_by = NULL, ...)Arguments
| x | A Spark DataFrame or dplyr operation |
| name | The name to assign to the newly generated table. |
| source | A data source capable of reading data. |
| mode | A |
| options | A list of strings with additional options. |
| partition_by | A |
| ... | Optional arguments; currently unused. |
See also
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_csv,
spark_write_jdbc,
spark_write_json,
spark_write_parquet,
spark_write_table,
spark_write_text