Write a Spark DataFrame to a Parquet file
Serialize a Spark DataFrame to the Parquet format.
spark_write_parquet(x, path, mode = NULL, options = list(),
partition_by = NULL, ...)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. |
| mode | A |
| options | A list of strings with additional options. See http://spark.apache.org/docs/latest/sql-programming-guide#configuration. |
| 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_source,
spark_write_table,
spark_write_text