save

Saves the contents of the DataFrame to a data source. The data source is specified by format and a set of options. If format is not specified, the default data source configured by spark.sql.sources.default is used.

Syntax

save(path=None, format=None, mode=None, partitionBy=None, **options)

Parameters

Parameter	Type	Description
path	str, optional	The path in a Hadoop-supported file system.
format	str, optional	The format used to save.
mode	str, optional	The behavior when data already exists. Accepted values are 'append', 'overwrite', 'ignore', and 'error' or 'errorifexists' (default).
partitionBy	list, optional	Names of partitioning columns.
**options	dict	Additional string options.

Returns

None

Examples

Write a DataFrame into a JSON file and read it back.

Python

import tempfile
with tempfile.TemporaryDirectory(prefix="save") as d:
    spark.createDataFrame(
        [{"age": 100, "name": "Alice"}]
    ).write.mode("overwrite").format("json").save(d)

    spark.read.format('json').load(d).show()
    # +---+------------+
    # |age|        name|
    # +---+------------+
    # |100|Alice|
    # +---+------------+