Writes a Spark DataFrame into a Spark table
spark_write_table(
x,
name,
mode = NULL,
options = list(),
partition_by = NULL,
...
)A Spark DataFrame or dplyr operation
The name to assign to the newly generated table.
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 https://spark.apache.org/docs/latest/sql-programming-guide.html#save-modes for your version of Spark.
A list of strings with additional options.
A character vector. Partitions the output by the given columns on the file system.
Optional arguments; currently unused.
Other Spark serialization routines:
collect_from_rds(),
spark_insert_table(),
spark_load_table(),
spark_read_avro(),
spark_read_binary(),
spark_read_csv(),
spark_read_delta(),
spark_read_image(),
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_orc(),
spark_write_parquet(),
spark_write_source(),
spark_write_text()