Null Handling in the Optimizer rule BooleanSimplification

scala> val df = Seq(("abc", 1), (null, 3)).toDF("col1", "col2")
df: org.apache.spark.sql.DataFrame = [col1: string, col2: int]

scala> df.write.mode("overwrite").parquet("/tmp/test1")
                                                                                
scala> val df2 = spark.read.parquet("/tmp/test1");
df2: org.apache.spark.sql.DataFrame = [col1: string, col2: int]

scala> df2.filter("col1 = 'abc' OR (col1 != 'abc' AND col2 == 3)").show()
+----+----+
|col1|col2|
+----+----+
| abc|   1|
|null|   3|
+----+----+