Use columnMeta.getPrimitiveType() so that the logical type is kept fo…

[subkanthi]

closes: #85

[subkanthi]

**Before FIX: **

spark-sql (test)> select * from test.test4.partitions;
**{"_time_day":1970-01-21}**	0	86400	1	274952	0	0	0	0	2026-01-05 17:15:08.795	1674173899564276772
Time taken: 0.147 seconds, Fetched 1 row(s)

After FIX:

select * from test.test10.partitions;
**{"_time_day":2026-01-05}**	0	86400	1	274952	0	0	0	0	2026-01-06 16:47:20.632	6618988112230024927
Time taken: 0.189 seconds, Fetched 1 row(s)


spark-sql (test)> select count(*), min(_time), max(_time) from `test10` where _time >= '2026-01-01 18:00:00';
86400	2026-01-04 18:00:00	2026-01-05 17:59:59
Time taken: 0.083 seconds, Fetched 1 row(s)

spark-sql (test)> select current_timezone();
America/Chicago
Time taken: 0.057 seconds, Fetched 1 row(s)


spark-sql (test)> select count(*), min(_time), max(_time) from `test10` where _time >= '2026-01-04 18:05:00' and _time <= '2026-01-04 18:10:00';
301	2026-01-04 18:05:00	2026-01-04 18:10:00
Time taken: 0.118 seconds, Fetched 1 row(s)