[GLUTEN-3141][CH] Rewrite date comparison expression into a more efficient way

[lgbo-ustc]

What changes were proposed in this pull request?

(Please fill in changes proposed in this fix)

Fixes: #3141

Test result is given as following.

data set

CREATE TABLE default.test_time_cmp (ts INT, val INT) USING parquet;
insert into test_time_cmp select 1693497600 + (rand() * 1000000000) % 2592000 as ts, id as val from range(0, 10000000);

performance comparison

condition	before	after
from_unixtime(ts, 'yyyy-MM-dd') > '2023-09-15'	0.862 seconds	0.367 seconds
from_unixtime(ts, 'yyyy-MM-dd') >= '2023-09-15'	0.879 seconds	0.347 seconds
from_unixtime(ts, 'yyyy-MM-dd') < '2023-09-15'	0.887 seconds	0.334 seconds
from_unixtime(ts, 'yyyy-MM-dd') < '2023-09-15'	0.919 seconds	0.319 seconds
from_unixtime(ts, 'yyyy-MM-dd') = '2023-09-15'	0.872 seconds	0.371 seconds
to_date(from_unixtime(ts)) > '2023-09-15'	4.507 seconds	0.331 seconds

How was this patch tested?

(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
unit tests

(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)

[github-actions]

#3141

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[zzcclp]

LGTM

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[GlutenPerfBot]

===== Performance report for TPCH SF2000 with Velox backend, for reference only ====

query	log/native_3592_time.csv	log/native_master_11_06_2023_d57fdf26f_time.csv	difference	percentage
q1	31.35	33.34	1.995	106.37%
q2	25.40	24.84	-0.559	97.80%
q3	38.60	38.31	-0.298	99.23%
q4	37.11	37.40	0.295	100.80%
q5	71.10	70.83	-0.271	99.62%
q6	8.10	7.74	-0.357	95.59%
q7	84.70	85.97	1.279	101.51%
q8	85.19	84.68	-0.505	99.41%
q9	121.05	124.39	3.342	102.76%
q10	52.25	54.67	2.415	104.62%
q11	20.32	19.96	-0.358	98.24%
q12	26.44	24.52	-1.926	92.72%
q13	49.06	50.37	1.307	102.66%
q14	16.58	18.50	1.923	111.60%
q15	30.50	32.09	1.598	105.24%
q16	16.68	16.51	-0.168	98.99%
q17	103.42	100.90	-2.521	97.56%
q18	148.90	148.27	-0.627	99.58%
q19	14.86	14.74	-0.118	99.21%
q20	29.99	30.95	0.961	103.21%
q21	225.27	225.06	-0.205	99.91%
q22	13.12	13.61	0.482	103.67%
total	1249.97	1257.65	7.685	100.61%