spark_load_table
From sparklyr v0.5
by Javier Luraschi
Load a Spark Table into a Spark DataFrame.
Load a Spark Table into a Spark DataFrame.
Usage
spark_load_table(sc, name, options = list(), repartition = 0, memory = TRUE, overwrite = TRUE)Arguments
- sc
- A
spark_connection. - name
- The name to assign to the newly generated table.
- options
- A list of strings with additional options. See http://spark.apache.org/docs/latest/sql-programming-guide.html#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?
See Also
Other Spark serialization routines: spark_read_csv,
spark_read_json,
spark_read_parquet,
spark_save_table,
spark_write_csv,
spark_write_json,
spark_write_parquet
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