pyspark.sql.SparkSession.read

property SparkSession.read

Returns a DataFrameReader that can be used to read data in as a DataFrame.

New in version 2.0.0.

Changed in version 3.4.0: Supports Spark Connect.

Returns

DataFrameReader

Examples

>>> spark.read
<...DataFrameReader object ...>

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

>>> import tempfile
>>> with tempfile.TemporaryDirectory(prefix="read") as d:
...     # Write a DataFrame into a JSON file
...     spark.createDataFrame(
...         [{"age": 100, "name": "Hyukjin Kwon"}]
...     ).write.mode("overwrite").format("json").save(d)
...
...     # Read the JSON file as a DataFrame.
...     spark.read.format('json').load(d).show()
+---+------------+
|age|        name|
+---+------------+
|100|Hyukjin Kwon|
+---+------------+