json_tuple

Creates a new row for a json column according to the given field names.

Syntax

from pyspark.sql import functions as sf

sf.json_tuple(col, *fields)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or str	String column in json format.
fields	str	A field or fields to extract.

Returns

pyspark.sql.Column: a new row for each given field value from json object

Examples

from pyspark.sql import functions as sf
data = [("1", '''{"f1": "value1", "f2": "value2"}'''), ("2", '''{"f1": "value12"}''')]
df = spark.createDataFrame(data, ("key", "jstring"))
df.select(df.key, sf.json_tuple(df.jstring, 'f1', 'f2')).collect()

[Row(key='1', c0='value1', c1='value2'), Row(key='2', c0='value12', c1=None)]