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

Documentation reproduced from package sparklyr, version 0.5.5, License: Apache License 2.0 | file LICENSE

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