pyspark.sql.functions.json_object_keys

pyspark.sql.functions.json_object_keys(col: ColumnOrName) → pyspark.sql.column.Column[source]

Returns all the keys of the outermost JSON object as an array. If a valid JSON object is given, all the keys of the outermost object will be returned as an array. If it is any other valid JSON string, an invalid JSON string or an empty string, the function returns null.

New in version 3.5.0.

Parameters
col:class:~pyspark.sql.Column or str

target column to compute on.

Returns
Column

all the keys of the outermost JSON object.

Examples

>>> df = spark.createDataFrame([(None,), ('{}',), ('{"key1":1, "key2":2}',)], ['data'])
>>> df.select(json_object_keys(df.data).alias('r')).collect()
[Row(r=None), Row(r=[]), Row(r=['key1', 'key2'])]