wrong result returned when charVarcharAsString is true

[loudongfeng]

When spark.sql.legacy.charVarcharAsString is true, SparkSQL will treat char as strings and no padding is added for char literal.
Then the result is wrong.

create table my_char(name char(20)) using orc;
insert into my_char values ('Nemon');

select count(*) from my_char where name = 'Nemon';
+--------+
|count(1)|
+--------+
|1       |
+--------+

set spark.sql.legacy.charVarcharAsString=true;
select count(*) from my_char where name = 'Nemon';
+--------+
|count(1)|
+--------+
|0       |
+--------+

The plan

+- ^(10) HashAggregateTransformer(keys=[], functions=[count(1)], output=[count(1)#139])
   +- CoalesceBatches
      +- ColumnarExchangeExec SinglePartition, ENSURE_REQUIREMENTS, false, [plan_id=320], [id=#320], [OUTPUT] List(count:LongType), [OUTPUT] List(count:LongType)
         +- ^(9) HashAggregateTransformer(keys=[], functions=[partial_count(1)], output=[count#142L])
            +- ^(9) ProjectExecTransformer
               +- ^(9) FilterExecTransformer (isnotnull(name#7) AND (name#7 = Nemon))
                  +- NativeFileScan orc tpcds_parquet.my_char[name#7] Batched: true, DataFilters: [isnotnull(name#7), (name#7 = Nemon)], Format: ORC

Notice that DataFilters in NativeFileScan is (name#7 = Nemon), no padding.