[VL] Support DecimalType for approx_count_distinct

[liujiayi771]

What changes were proposed in this pull request?

Velox's approx_distinct supports decimal type, we can add the support for decimal type in the HLLRewriteRule.

How was this patch tested?

Add a new test case for approx_count_distinct decimal type.

[github-actions]

Thanks for opening a pull request!

Could you open an issue for this pull request on Github Issues?

https://github.com/apache/incubator-gluten/issues

Then could you also rename commit message and pull request title in the following format?

[GLUTEN-${ISSUES_ID}][COMPONENT]feat/fix: ${detailed message}

See also:

• Other pull requests

[liujiayi771]

cc @zhli1142015 @zhztheplayer, thanks.

[GlutenPerfBot]

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

query	log/native_5868_time.csv	log/native_master_05_27_2024_56c5a24c1_time.csv	difference	percentage
q1	34.00	33.83	-0.170	99.50%
q2	25.76	23.77	-1.993	92.26%
q3	36.46	36.69	0.225	100.62%
q4	35.83	35.09	-0.731	97.96%
q5	67.27	68.27	0.996	101.48%
q6	7.38	5.98	-1.403	81.00%
q7	79.49	78.74	-0.748	99.06%
q8	82.69	83.78	1.089	101.32%
q9	122.20	119.36	-2.844	97.67%
q10	45.18	45.89	0.704	101.56%
q11	20.34	19.70	-0.641	96.85%
q12	26.21	27.26	1.047	104.00%
q13	52.02	52.73	0.708	101.36%
q14	19.98	17.65	-2.330	88.34%
q15	30.27	31.35	1.085	103.59%
q16	13.82	14.31	0.491	103.55%
q17	103.96	102.68	-1.275	98.77%
q18	146.14	145.45	-0.695	99.52%
q19	13.77	15.24	1.472	110.69%
q20	28.32	27.93	-0.392	98.62%
q21	264.85	261.25	-3.600	98.64%
q22	12.66	13.57	0.911	107.20%
total	1268.60	1260.51	-8.092	99.36%

[GlutenPerfBot]

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

query	log/native_master_05_27_2024_time.csv	log/native_master_05_17_2024_63c166d62_time.csv	difference	percentage
q1	15.37	15.13	-0.239	98.45%
q2	15.78	16.79	1.008	106.39%
q3	4.39	4.54	0.148	103.37%
q4	64.02	63.43	-0.591	99.08%
q5	8.19	7.98	-0.201	97.55%
q6	2.67	2.68	0.010	100.38%
q7	6.21	5.77	-0.437	92.96%
q8	3.35	3.20	-0.156	95.34%
q9	18.08	17.36	-0.720	96.02%
q10	10.51	9.21	-1.297	87.66%
q11	35.26	39.71	4.450	112.62%
q12	1.51	1.38	-0.124	91.78%
q13	5.60	7.20	1.601	128.60%
q14a	44.21	45.35	1.139	102.58%
q14b	41.63	42.63	1.000	102.40%
q15	3.81	2.66	-1.144	69.96%
q16	39.72	39.63	-0.084	99.79%
q17	5.72	5.72	0.005	100.08%
q18	9.08	5.89	-3.185	64.91%
q19	3.49	2.08	-1.407	59.69%
q20	1.45	1.27	-0.176	87.82%
q21	1.20	3.38	2.180	281.88%
q22	7.98	8.07	0.095	101.19%
q23a	81.64	81.82	0.175	100.21%
q23b	99.94	102.03	2.091	102.09%
q24a	72.11	81.04	8.939	112.40%
q24b	79.45	69.18	-10.268	87.08%
q25	4.56	4.29	-0.266	94.17%
q26	10.31	4.31	-6.001	41.80%
q27	2.66	2.94	0.282	110.59%
q28	22.02	21.47	-0.549	97.51%
q29	7.00	9.56	2.555	136.50%
q30	4.12	4.11	-0.009	99.78%
q31	5.95	6.03	0.076	101.27%
q32	1.24	1.18	-0.058	95.33%
q33	4.75	6.85	2.100	144.23%
q34	4.66	4.94	0.278	105.97%
q35	7.93	7.00	-0.927	88.30%
q36	3.18	3.23	0.047	101.48%
q37	3.93	4.22	0.286	107.27%
q38	11.84	11.80	-0.043	99.64%
q39a	3.35	3.34	-0.005	99.84%
q39b	2.79	2.81	0.017	100.60%
q40	3.83	5.45	1.618	142.23%
q41	0.56	0.53	-0.029	94.75%
q42	0.94	0.92	-0.020	97.87%
q43	3.55	3.48	-0.069	98.06%
q44	7.08	7.20	0.116	101.64%
q45	3.51	3.86	0.357	110.19%
q46	3.03	2.92	-0.108	96.42%
q47	14.84	15.92	1.079	107.27%
q48	4.40	4.39	-0.011	99.75%
q49	7.41	6.97	-0.439	94.07%
q50	24.44	29.36	4.919	120.12%
q51	8.72	8.59	-0.140	98.40%
q52	0.99	1.06	0.073	107.40%
q53	1.79	1.68	-0.105	94.12%
q54	3.30	3.12	-0.177	94.64%
q55	0.94	1.14	0.201	121.25%
q56	4.38	5.39	1.005	122.93%
q57	8.52	8.39	-0.127	98.51%
q58	2.71	2.50	-0.214	92.10%
q59	16.41	16.51	0.105	100.64%
q60	5.10	5.84	0.734	114.38%
q61	5.28	6.35	1.073	120.33%
q62	4.25	10.04	5.789	236.09%
q63	1.85	1.84	-0.019	98.95%
q64	49.92	49.22	-0.694	98.61%
q65	13.56	13.50	-0.065	99.52%
q66	3.01	3.04	0.024	100.81%
q67	354.16	352.18	-1.986	99.44%
q68	3.50	3.70	0.199	105.70%
q69	6.78	8.44	1.660	124.49%
q70	8.76	8.36	-0.390	95.54%
q71	2.27	2.13	-0.133	94.12%
q72	191.86	188.15	-3.713	98.06%
q73	2.29	2.12	-0.171	92.52%
q74	21.60	21.15	-0.442	97.95%
q75	23.74	24.96	1.219	105.13%
q76	7.03	10.01	2.979	142.36%
q77	1.78	1.74	-0.045	97.47%
q78	39.90	38.43	-1.462	96.34%
q79	3.47	3.32	-0.155	95.52%
q80	10.58	11.12	0.538	105.08%
q81	4.53	6.56	2.022	144.59%
q82	8.65	6.26	-2.389	72.37%
q83	1.46	1.38	-0.079	94.54%
q84	2.93	2.85	-0.080	97.26%
q85	7.13	7.05	-0.080	98.88%
q86	3.19	3.22	0.023	100.72%
q87	12.28	12.21	-0.069	99.44%
q88	16.77	18.97	2.194	113.08%
q89	2.65	2.62	-0.030	98.86%
q90	3.40	6.16	2.761	181.14%
q91	2.57	2.86	0.285	111.07%
q92	1.14	1.26	0.119	110.40%
q93	31.14	28.95	-2.193	92.96%
q94	21.35	21.37	0.023	100.11%
q9	81.54	86.82	5.272	106.47%
q5	6.35	2.21	-4.139	34.79%
q96	11.98	12.19	0.205	101.71%
q97	1.82	2.02	0.194	110.63%
q98	9.80	9.26	-0.546	94.43%
q99	9.80	9.26	-0.546	94.43%
total	1895.41	1912.46	17.055	100.90%

[GlutenPerfBot]

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

query	log/native_master_05_27_2024_time.csv	log/native_master_05_27_2024_56c5a24c1_time.csv	difference	percentage
q1	34.01	33.83	-0.187	99.45%
q2	25.69	23.77	-1.929	92.49%
q3	36.59	36.69	0.096	100.26%
q4	34.28	35.09	0.811	102.36%
q5	70.33	68.27	-2.060	97.07%
q6	7.60	5.98	-1.621	78.67%
q7	82.15	78.74	-3.409	95.85%
q8	88.29	83.78	-4.504	94.90%
q9	122.17	119.36	-2.816	97.70%
q10	46.70	45.89	-0.813	98.26%
q11	20.07	19.70	-0.374	98.14%
q12	23.62	27.26	3.640	115.41%
q13	53.35	52.73	-0.623	98.83%
q14	17.13	17.65	0.518	103.02%
q15	31.65	31.35	-0.296	99.06%
q16	13.86	14.31	0.446	103.22%
q17	103.47	102.68	-0.786	99.24%
q18	144.12	145.45	1.331	100.92%
q19	13.72	15.24	1.527	111.13%
q20	28.10	27.93	-0.167	99.40%
q21	260.32	261.25	0.927	100.36%
q22	12.53	13.57	1.041	108.31%
total	1269.76	1260.51	-9.248	99.27%