Github user wzhfy commented on the issue:
https://github.com/apache/spark/pull/16395
@ron8hu @rxin It seems we don't need logics for binary filter conditions
for date/timestamp types, because currently spark will always cast all relative
timestamp/data/string comparison into string comparisons. Thanks @cloud-fan for
indicating [the code
here](https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala#L317-L327)
Thus in tpcds benchmarks tests, filter estimation for date type is
unsupported:
```
[CBO] Unsupported filter condition: cast(d_date#119 as string) IN
(2000-06-30,2000-09-27,2000-11-17)
[CBO] Unsupported filter condition: (cast(d_date#63 as string) >=
2000-01-27)
...
```
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