Write a Spark DataFrame to a JSON file
R/data_interface.R
spark_write_json
Description
Serialize a Spark DataFrame to the JavaScript Object Notation format.
Usage
spark_write_json(
x,
path, mode = NULL,
options = list(),
partition_by = NULL,
... )
Arguments
Arguments | Description |
---|---|
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 https://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: collect_from_rds()
, spark_insert_table()
, spark_load_table()
, spark_read_avro()
, spark_read_binary()
, spark_read_csv()
, spark_read_delta()
, spark_read_image()
, spark_read_jdbc()
, spark_read_json()
, spark_read_libsvm()
, spark_read_orc()
, spark_read_parquet()
, spark_read_source()
, spark_read_table()
, spark_read_text()
, spark_read()
, spark_save_table()
, spark_write_avro()
, spark_write_csv()
, spark_write_delta()
, spark_write_jdbc()
, spark_write_orc()
, spark_write_parquet()
, spark_write_source()
, spark_write_table()
, spark_write_text()