copy_to.spark_connection {sparklyr} | R Documentation

## Copy an R Data Frame to Spark

### Description

Copy an R `data.frame` to Spark, and return a reference to the generated Spark DataFrame as a `tbl_spark`. The returned object will act as a `dplyr`-compatible interface to the underlying Spark table.

### Usage

    ## S3 method for class 'spark_connection'
    copy_to(dest, df,
      name = spark_table_name(substitute(df)), overwrite = FALSE,
      memory = TRUE, repartition = 0L, ...)

### Arguments

`dest` | A `spark_connection`.
`df` | An R `data.frame`.
`name` | The name to assign to the copied table in Spark.
`overwrite` | Boolean; overwrite a pre-existing table with the name `name` if one already exists?
`memory` | Boolean; should the table be cached into memory?
`repartition` | The number of partitions to use when distributing the table across the Spark cluster. The default (0) can be used to avoid partitioning.
`...` | Optional arguments; currently unused.

### Value

A `tbl_spark`, representing a `dplyr`-compatible interface to a Spark DataFrame.

[Package sparklyr version 0.6.3 Index]