try_parse_json

Parses a column containing a JSON string into a VariantType. Returns None if a string contains an invalid JSON value.

Syntax

from pyspark.sql import functions as sf

sf.try_parse_json(col)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or str	A column or column name JSON formatted strings.

Returns

pyspark.sql.Column: a new column of VariantType.

Examples

from pyspark.sql import functions as sf
df = spark.createDataFrame([ {'json': '''{ "a" : 1 }'''}, {'json': '''{a : 1}'''} ])
df.select(sf.to_json(sf.try_parse_json(df.json))).collect()

[Row(to_json(try_parse_json(json))='{"a":1}'), Row(to_json(try_parse_json(json))=None)]