pyspark.sql.functions.get_json_object¶

pyspark.sql.functions.get_json_object(col: ColumnOrName, path: str) → pyspark.sql.column.Column[source]¶

Extracts json object from a json string based on json path specified, and returns json string of the extracted json object. It will return null if the input json string is invalid.

New in version 1.6.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

colColumn or str: string column in json format
pathstr: path to the json object to extract

Returns

Column: string representation of given JSON object value.

Examples

>>> data = [("1", '''{"f1": "value1", "f2": "value2"}'''), ("2", '''{"f1": "value12"}''')]
>>> df = spark.createDataFrame(data, ("key", "jstring"))
>>> df.select(df.key, get_json_object(df.jstring, '$.f1').alias("c0"), \
...                   get_json_object(df.jstring, '$.f2').alias("c1") ).collect()
[Row(key='1', c0='value1', c1='value2'), Row(key='2', c0='value12', c1=None)]

pyspark.sql.functions.get pyspark.sql.functions.json_tuple