spark_write_rds: Write Spark DataFrame to RDS files

Description Usage Arguments Value

View source: R/data_interface.R


Write Spark dataframe to RDS files. Each partition of the dataframe will be exported to a separate RDS file so that all partitions can be processed in parallel.


spark_write_rds(x, dest_uri)



A Spark DataFrame to be exported


Can be a URI template containing "partitionId" (e.g., "hdfs://my_data_part_partitionId.rds") where "partitionId" will be substituted with ID of each partition using 'glue', or a list of URIs to be assigned to RDS output from all partitions (e.g., "hdfs://my_data_part_0.rds", "hdfs://my_data_part_1.rds", and so on) If working with a Spark instance running locally, then all URIs should be in "file://<local file path>" form. Otherwise the scheme of the URI should reflect the underlying file system the Spark instance is working with (e.g., "hdfs://"). If the resulting list of URI(s) does not contain unique values, then it will be post-processed with 'make.unique()' to ensure uniqueness.


A tibble containing partition ID and RDS file location for each partition of the input Spark dataframe.

sparklyr documentation built on June 17, 2021, 5:06 p.m.