Read from a generic source into a Spark DataFrame.

spark_read_source(sc, name, source, options = list(), repartition = 0,
  memory = TRUE, overwrite = TRUE, columns = NULL, ...)

Arguments

sc	A `spark_connection`.
name	The name to assign to the newly generated table.
source	A data source capable of reading data.
options	A list of strings with additional options. See http://spark.apache.org/docs/latest/sql-programming-guide#configuration.
repartition	The number of partitions used to distribute the generated table. Use 0 (the default) to avoid partitioning.
memory	Boolean; should the data be loaded eagerly into memory? (That is, should the table be cached?)
overwrite	Boolean; overwrite the table with the given name if it already exists?
columns	A vector of column names or a named vector of column types.
...	Optional arguments; currently unused.