[VL] Prefer to use path.getFileSystem instead of FileSystem.get to create FileSystem

[yikf]

What changes were proposed in this pull request?

Prefer to use path.getFileSystem instead of FileSystem.get to create FileSystem, this can always default to the path's schema to get fs which handle the path.

How was this patch tested?

exist tests and manual tests

[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

[JkSelf]

Thanks.

[GlutenPerfBot]

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

query	log/native_6123_time.csv	log/native_master_06_18_2024_800cadd0f_time.csv	difference	percentage
q1	33.47	34.68	1.206	103.60%
q2	23.75	27.07	3.324	114.00%
q3	38.71	38.23	-0.476	98.77%
q4	33.03	36.14	3.110	109.41%
q5	69.58	71.13	1.557	102.24%
q6	7.86	7.39	-0.473	93.98%
q7	83.82	84.79	0.971	101.16%
q8	84.48	84.78	0.301	100.36%
q9	125.59	117.48	-8.109	93.54%
q10	50.55	45.02	-5.535	89.05%
q11	20.28	22.82	2.547	112.56%
q12	26.06	27.15	1.092	104.19%
q13	39.16	39.59	0.427	101.09%
q14	19.93	18.08	-1.853	90.70%
q15	29.59	30.03	0.438	101.48%
q16	13.99	13.98	-0.016	99.89%
q17	103.99	103.10	-0.893	99.14%
q18	149.07	144.12	-4.949	96.68%
q19	17.37	13.72	-3.647	79.00%
q20	27.84	26.04	-1.800	93.53%
q21	260.91	263.69	2.781	101.07%
q22	13.33	12.17	-1.165	91.27%
total	1272.37	1261.21	-11.162	99.12%

[GlutenPerfBot]

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

query	log/native_master_06_19_2024_time.csv	log/native_master_06_16_2024_a08a57c61f_time.csv	difference	percentage
q1	14.77	14.69	-0.081	99.45%
q2	14.76	15.18	0.421	102.86%
q3	4.71	4.91	0.195	104.14%
q4	66.03	66.82	0.795	101.20%
q5	7.52	8.33	0.813	110.81%
q6	2.29	2.16	-0.127	94.44%
q7	7.96	6.30	-1.660	79.13%
q8	4.65	5.96	1.313	128.23%
q9	20.08	17.57	-2.515	87.48%
q10	12.10	11.03	-1.066	91.19%
q11	37.17	35.51	-1.663	95.53%
q12	1.46	1.44	-0.015	98.96%
q13	5.71	5.31	-0.396	93.06%
q14a	42.20	43.42	1.213	102.87%
q14b	42.07	38.81	-3.262	92.25%
q15	4.17	3.85	-0.319	92.36%
q16	38.26	42.00	3.743	109.78%
q17	5.88	4.73	-1.144	80.55%
q18	7.68	6.16	-1.516	80.26%
q19	2.47	3.59	1.122	145.39%
q20	1.56	2.71	1.149	173.47%
q21	1.30	1.35	0.052	104.00%
q22	8.44	8.13	-0.304	96.40%
q23a	79.83	82.95	3.119	103.91%
q23b	104.47	100.23	-4.239	95.94%
q24a	72.01	70.78	-1.222	98.30%
q24b	80.65	76.15	-4.500	94.42%
q25	4.72	6.22	1.495	131.65%
q26	6.24	4.83	-1.411	77.39%
q27	3.15	3.25	0.108	103.44%
q28	20.75	21.89	1.139	105.49%
q29	7.75	7.91	0.157	102.03%
q30	4.47	4.35	-0.124	97.24%
q31	6.45	6.50	0.052	100.80%
q32	1.22	1.11	-0.107	91.26%
q33	5.85	7.95	2.103	135.94%
q34	4.98	5.74	0.762	115.28%
q35	8.04	7.07	-0.972	87.92%
q36	5.19	3.56	-1.628	68.61%
q37	4.48	4.21	-0.267	94.04%
q38	12.17	12.83	0.654	105.38%
q39a	3.31	3.18	-0.130	96.07%
q39b	2.83	2.83	0.002	100.08%
q40	5.33	6.35	1.018	119.10%
q41	0.66	0.61	-0.045	93.07%
q42	1.07	1.10	0.033	103.06%
q43	5.33	3.90	-1.433	73.11%
q44	9.00	13.59	4.589	150.97%
q45	3.91	4.16	0.248	106.35%
q46	4.53	3.39	-1.145	74.74%
q47	15.33	14.38	-0.947	93.82%
q48	4.76	4.63	-0.137	97.13%
q49	9.50	9.65	0.154	101.62%
q50	27.73	24.71	-3.030	89.08%
q51	8.79	8.97	0.177	102.01%
q52	1.05	1.11	0.055	105.26%
q53	5.41	2.99	-2.420	55.28%
q54	3.47	3.36	-0.113	96.74%
q55	1.10	1.17	0.063	105.69%
q56	4.90	4.57	-0.333	93.21%
q57	9.25	9.20	-0.053	99.43%
q58	2.64	2.66	0.019	100.71%
q59	14.06	14.06	0.001	100.01%
q60	4.87	4.64	-0.226	95.36%
q61	5.29	5.22	-0.071	98.65%
q62	3.88	6.60	2.725	170.27%
q63	2.18	2.10	-0.080	96.32%
q64	56.68	53.36	-3.326	94.13%
q65	14.09	16.93	2.835	120.12%
q66	4.95	3.16	-1.785	63.91%
q67	377.50	363.54	-13.960	96.30%
q68	5.25	3.72	-1.529	70.87%
q69	6.80	9.96	3.156	146.40%
q70	9.45	8.93	-0.521	94.48%
q71	2.43	2.57	0.142	105.82%
q72	186.85	192.42	5.571	102.98%
q73	2.06	2.26	0.196	109.53%
q74	21.63	21.15	-0.477	97.79%
q75	24.15	24.94	0.784	103.25%
q76	12.94	12.49	-0.451	96.52%
q77	2.12	2.33	0.216	110.19%
q78	44.17	42.10	-2.069	95.31%
q79	3.58	3.64	0.055	101.53%
q80	16.00	15.73	-0.268	98.32%
q81	5.32	5.14	-0.179	96.64%
q82	7.89	7.76	-0.134	98.30%
q83	1.53	2.36	0.823	153.68%
q84	3.20	2.82	-0.382	88.08%
q85	8.62	8.11	-0.510	94.08%
q86	3.27	3.26	-0.010	99.70%
q87	12.32	12.39	0.072	100.58%
q88	28.67	28.73	0.060	100.21%
q89	3.18	3.43	0.256	108.04%
q90	4.35	4.35	-0.003	99.93%
q91	2.61	2.62	0.017	100.63%
q92	1.38	1.25	-0.123	91.08%
q93	32.47	30.88	-1.594	95.09%
q94	23.49	22.55	-0.944	95.98%
q9	86.18	87.33	1.150	101.33%
q5	3.85	3.78	-0.076	98.02%
q96	12.06	11.99	-0.061	99.50%
q97	2.15	2.02	-0.128	94.02%
q98	12.40	13.03	0.628	105.06%
q99	12.40	13.03	0.628	105.06%
total	1991.46	1969.68	-21.782	98.91%

[GlutenPerfBot]

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

query	log/native_master_06_19_2024_time.csv	log/native_master_06_18_2024_800cadd0f_time.csv	difference	percentage
q1	34.61	34.68	0.065	100.19%
q2	25.46	27.07	1.608	106.31%
q3	38.59	38.23	-0.360	99.07%
q4	33.98	36.14	2.164	106.37%
q5	70.97	71.13	0.161	100.23%
q6	6.54	7.39	0.843	112.88%
q7	85.08	84.79	-0.289	99.66%
q8	87.11	84.78	-2.328	97.33%
q9	123.67	117.48	-6.191	94.99%
q10	44.85	45.02	0.170	100.38%
q11	20.56	22.82	2.264	111.01%
q12	27.28	27.15	-0.133	99.51%
q13	39.58	39.59	0.011	100.03%
q14	18.81	18.08	-0.736	96.09%
q15	33.35	30.03	-3.323	90.04%
q16	14.28	13.98	-0.306	97.86%
q17	105.60	103.10	-2.498	97.63%
q18	144.60	144.12	-0.482	99.67%
q19	13.77	13.72	-0.044	99.68%
q20	29.04	26.04	-3.006	89.65%
q21	265.23	263.69	-1.535	99.42%
q22	12.88	12.17	-0.706	94.52%
total	1275.86	1261.21	-14.653	98.85%