ulysses you created SPARK-30353:
-----------------------------------
Summary: Use constraints in SimplifyBinaryComparison optimization
Key: SPARK-30353
URL: https://issues.apache.org/jira/browse/SPARK-30353
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.0.0
Reporter: ulysses you
Now Spark can propagate constraint during sql optimization when
`spark.sql.constraintPropagation.enabled` is true, then `where c = 1` will
convert to `where c = 1 and c is not null`. We also can use constraint in
`SimplifyBinaryComparison`.
`SimplifyBinaryComparison` will simplify expression which is not nullable and
semanticEquals. Besides we also can simplify if one expression is infered
`IsNotNull`.
For e.g.
```
create table test (c1 string);
explain extended select c1 from test where c1 = c1 limit 10;
-- before
GlobalLimit 10
+- LocalLimit 10
+- Filter (isnotnull(c1#20) AND (c1#20 = c1#20))
+- Relation[c1#20]
-- after
GlobalLimit 10
+- LocalLimit 10
+- Relation[c1#20]
```
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