[VL] remove unused libhdfs binaries

[zhouyuan]

What changes were proposed in this pull request?

remove unused libhdfs libs to reduce repo size

How was this patch tested?

no tests required

[github-actions]

Thanks for opening a pull request!

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

https://github.com/oap-project/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

[zhouyuan]

@PHILO-HE this may help to reduce the repo size.

[GlutenPerfBot]

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

query	log/native_3656_time.csv	log/native_master_11_08_2023_29b58997a_time.csv	difference	percentage
q1	32.00	34.11	2.108	106.59%
q2	25.11	25.13	0.022	100.09%
q3	38.93	38.62	-0.307	99.21%
q4	37.20	36.07	-1.128	96.97%
q5	71.21	71.84	0.634	100.89%
q6	6.24	7.59	1.349	121.60%
q7	83.92	85.82	1.901	102.26%
q8	87.87	86.97	-0.900	98.98%
q9	124.26	121.86	-2.393	98.07%
q10	53.16	54.80	1.640	103.09%
q11	19.36	20.59	1.234	106.37%
q12	25.44	24.63	-0.808	96.83%
q13	49.72	49.95	0.235	100.47%
q14	18.05	16.99	-1.057	94.14%
q15	31.20	30.97	-0.227	99.27%
q16	16.22	16.51	0.295	101.82%
q17	102.18	102.40	0.214	100.21%
q18	148.36	148.28	-0.086	99.94%
q19	14.91	15.13	0.225	101.51%
q20	30.70	29.97	-0.734	97.61%
q21	222.54	222.20	-0.339	99.85%
q22	13.42	13.55	0.132	100.98%
total	1252.00	1254.01	2.010	100.16%

[GlutenPerfBot]

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

query	log/native_master_11_09_2023_time.csv	log/native_master_11_08_2023_29b58997a_time.csv	difference	percentage
q1	33.80	34.11	0.313	100.93%
q2	24.95	25.13	0.179	100.72%
q3	38.87	38.62	-0.249	99.36%
q4	36.96	36.07	-0.886	97.60%
q5	69.94	71.84	1.900	102.72%
q6	7.87	7.59	-0.281	96.43%
q7	85.40	85.82	0.417	100.49%
q8	88.61	86.97	-1.637	98.15%
q9	121.14	121.86	0.725	100.60%
q10	54.35	54.80	0.457	100.84%
q11	19.52	20.59	1.074	105.50%
q12	24.93	24.63	-0.294	98.82%
q13	50.92	49.95	-0.965	98.11%
q14	18.17	16.99	-1.172	93.55%
q15	30.79	30.97	0.179	100.58%
q16	16.06	16.51	0.449	102.79%
q17	101.51	102.40	0.883	100.87%
q18	148.23	148.28	0.046	100.03%
q19	14.95	15.13	0.186	101.24%
q20	31.24	29.97	-1.267	95.94%
q21	223.30	222.20	-1.102	99.51%
q22	14.24	13.55	-0.688	95.17%
total	1255.74	1254.01	-1.732	99.86%