spark_save_table
Saves a Spark DataFrame as a Spark table
Saves a Spark DataFrame and as a Spark table.
Usage
spark_save_table(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://", "s3a://" and "file://" protocols.
- mode
A
characterelement. Specifies the behavior when data or table already exists. Supported values include: 'error', 'append', 'overwrite' and ignore. Notice that 'overwrite' will also change the column structure.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 Also
Other Spark serialization routines: spark_load_table,
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_write_csv,
spark_write_delta,
spark_write_jdbc,
spark_write_json,
spark_write_orc,
spark_write_parquet,
spark_write_source,
spark_write_table,
spark_write_text