Write a Spark DataFrame to a JSON file

Serialize a Spark DataFrame to the JavaScript Object Notation format.

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



A Spark DataFrame or dplyr operation


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


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.


A list of strings with additional options.


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_parquet, spark_write_source, spark_write_table, spark_write_text