spark_load_table

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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

Aliases
  • spark_load_table
Documentation reproduced from package sparklyr, version 0.5.3, License: Apache License 2.0 | file LICENSE

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