Github user gatorsmile commented on a diff in the pull request: https://github.com/apache/spark/pull/16928#discussion_r120025689 --- Diff: python/pyspark/sql/readwriter.py --- @@ -191,10 +191,13 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None, :param mode: allows a mode for dealing with corrupt records during parsing. If None is set, it uses the default value, ``PERMISSIVE``. - * ``PERMISSIVE`` : sets other fields to ``null`` when it meets a corrupted \ - record and puts the malformed string into a new field configured by \ - ``columnNameOfCorruptRecord``. When a schema is set by user, it sets \ - ``null`` for extra fields. + * ``PERMISSIVE`` : sets other fields to ``null`` when it meets a corrupted \ + record, and puts the malformed string into a field configured by \ + ``columnNameOfCorruptRecord``. To keep corrupt records, an user can set \ + a string type field named ``columnNameOfCorruptRecord`` in an user-defined \ + schema. If a schema does not have the field, it drops corrupt records during \ + parsing. When inferring a schema, it implicitly adds a \ + ``columnNameOfCorruptRecord`` field in an output schema. --- End diff -- Now, users have to manually add the column `columnNameOfCorruptRecord` for seeing these malformed records.
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