spark_read_table

0th

Percentile

Reads from a Spark Table into a Spark DataFrame.

Reads from a Spark Table into a Spark DataFrame.

Usage
spark_read_table(sc, name, options = list(), repartition = 0,
  memory = TRUE, columns = NULL, ...)
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?)

columns

A vector of column names or a named vector of column types.

...

Optional arguments; currently unused.

See Also

Other Spark serialization routines: spark_load_table, spark_read_csv, spark_read_jdbc, spark_read_json, spark_read_libsvm, spark_read_orc, spark_read_parquet, spark_read_source, spark_read_text, spark_save_table, spark_write_csv, spark_write_jdbc, spark_write_json, spark_write_orc, spark_write_parquet, spark_write_source, spark_write_table, spark_write_text

Aliases
  • spark_read_table
Documentation reproduced from package sparklyr, version 1.0.4, License: Apache License 2.0 | file LICENSE

Community examples

Looks like there are no examples yet.