[GLUTEN-6067][CH] [Part 2] Support CH backend with Spark3.5 - Prepare for supporting sink transform

[baibaichen]

What changes were proposed in this pull request?

We refactor the codes for the following purpose:

1. Calling SparkShim::genExtendedColumnarPostRules, so we can fallback write to vanilla spark in case of spark 3.5
2. Add NativeWriteCheck，Make UT failed in spark 3.5
3. Refactor LocalExecutor, moving pipeline building to SerializedPlanParser, because we can not add sink transform in this class.
4. Reducing duplcate codes, i.e. CHIteratorApi and SubstraitPlanPrinterUtil

(Fixes: #6067)

How was this patch tested?

Existed UTs

[github-actions]

#6067

[github-actions]

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[zzcclp]

LGTM

[GlutenPerfBot]

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

query	log/native_6197_time.csv	log/native_master_06_24_2024_f07e348f4_time.csv	difference	percentage
q1	34.29	35.39	1.108	103.23%
q2	26.88	23.65	-3.237	87.96%
q3	38.57	40.35	1.776	104.60%
q4	35.48	32.68	-2.803	92.10%
q5	71.43	70.64	-0.786	98.90%
q6	6.31	9.08	2.765	143.83%
q7	85.33	80.58	-4.748	94.44%
q8	89.87	87.90	-1.967	97.81%
q9	119.46	125.50	6.045	105.06%
q10	45.54	48.85	3.312	107.27%
q11	23.56	20.45	-3.109	86.80%
q12	23.44	26.51	3.068	113.09%
q13	38.96	38.63	-0.335	99.14%
q14	19.73	22.31	2.579	113.07%
q15	31.23	31.83	0.608	101.95%
q16	14.67	14.13	-0.546	96.28%
q17	106.57	103.74	-2.832	97.34%
q18	147.02	144.47	-2.550	98.27%
q19	13.81	13.92	0.115	100.83%
q20	27.30	29.16	1.864	106.83%
q21	264.07	264.29	0.221	100.08%
q22	16.54	12.24	-4.306	73.97%
total	1280.06	1276.30	-3.759	99.71%