Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/22237#discussion_r218000227
--- Diff: docs/sql-programming-guide.md ---
@@ -1877,6 +1877,10 @@ working with timestamps in `pandas_udf`s to get the
best performance, see
# Migration Guide
+## Upgrading From Spark SQL 2.4 to 3.0
+
+ - Since Spark 3.0, the `from_json` functions supports two modes -
`PERMISSIVE` and `FAILFAST`. The modes can be set via the `mode` option. The
default mode became `PERMISSIVE`. In previous versions, behavior of `from_json`
did not conform to either `PERMISSIVE` nor `FAILFAST`, especially in processing
of malformed JSON records.
--- End diff --
Can we briefly explain the difference between updated behavior and previous
one?
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