spark_write_parquet
From sparklyr v0.5.5
by Javier Luraschi
Write a Spark DataFrame to a Parquet file
Serialize a Spark DataFrame to the Parquet format.
Usage
spark_write_parquet(x, path, mode = NULL, options = list())
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
Specifies the behavior when data or table already exists.
- options
A list of strings with additional options. See http://spark.apache.org/docs/latest/sql-programming-guide.html#configuration.
See Also
Other Spark serialization routines: spark_load_table
,
spark_read_csv
,
spark_read_json
,
spark_read_parquet
,
spark_save_table
,
spark_write_csv
,
spark_write_json
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