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
character
element. 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