Write a Spark DataFrame to a ORC file
Serialize a Spark DataFrame to the ORC format.
spark_write_orc( x, path, mode = NULL, options = list(), 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. |
mode |
A For more details see also http://spark.apache.org/docs/latest/sql-programming-guide.html#save-modes for your version of Spark. |
options |
A list of strings with additional options. See http://spark.apache.org/docs/latest/sql-programming-guide.html#configuration. |
partition_by |
A |
... |
Optional arguments; currently unused. |
Other Spark serialization routines:
collect_from_rds(),
spark_load_table(),
spark_read_avro(),
spark_read_csv(),
spark_read_delta(),
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_read(),
spark_save_table(),
spark_write_avro(),
spark_write_csv(),
spark_write_delta(),
spark_write_jdbc(),
spark_write_json(),
spark_write_parquet(),
spark_write_source(),
spark_write_table(),
spark_write_text()
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