R: Read libsvm file into a Spark DataFrame.

spark_read_libsvm {sparklyr} | R Documentation

## Read libsvm file into a Spark DataFrame.

### Description

Read libsvm file into a Spark DataFrame.

### Usage

    spark_read_libsvm(sc, name, path, repartition = 0, memory = TRUE,
      overwrite = TRUE, ...)

### Arguments

`sc` | A `spark_connection`.
`name` | The name to assign to the newly generated table.
`path` | The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3a://" and "file://" protocols.
`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?
`...` | Optional arguments; currently unused.

### See Also

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

[Package sparklyr version 0.7.0 Index]