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sparklyr (version 0.8.4)

spark_write_text: Write a Spark DataFrame to a Text file

Description

Serialize a Spark DataFrame to the plain text format.

Usage

spark_write_text(x, path, mode = NULL, options = list(),
  partition_by = NULL, ...)

Arguments

x

A Spark DataFrame or dplyr operation

path

The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3a://" and "file://" protocols.

mode

A character element. Specifies the behavior when data or table already exists. Supported values include: 'error', 'append', 'overwrite' and ignore. Notice that 'overwrite' will also change the column structure.

For more details see also http://spark.apache.org/docs/latest/sql-programming-guide.html#save-modes for your version of Spark.

options

A list of strings with additional options.

partition_by

A character vector. Partitions the output by the given columns on the file system.

...

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_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