sparklyr (version 0.5)

spark_load_table: Load a Spark Table into a Spark DataFrame.

Description

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