parquet (DataFrameWriter)

Saves the content of the DataFrame in Parquet format at the specified path.

Syntax

parquet(path, mode=None, partitionBy=None, compression=None)

Parameters

Parameter	Type	Description
path	str	The path in any Hadoop-supported file system.
mode	str, optional	The behavior when data already exists. Accepted values are 'append', 'overwrite', 'ignore', and 'error' or 'errorifexists' (default).
partitionBy	str or list, optional	Names of partitioning columns.
compression	str, optional	The compression codec to use.

Returns

None

Examples

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

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

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