[VL] Daily Update Velox Version (2024-02-02)

[JkSelf]

What changes were proposed in this pull request?

3004e3494  Add a blog post for LIKE optimizations (#8576)
f9e94644f  Allow offline pre-compilation of 'xsimd' dependency (#8308)
e0cf6e906  Add TraceHistory (#8603)
6399f1779  Add TraceContext to various system calls that can block (#8583)
12ed56bfe  Add ThreadLocalRegistry (#8623)
e9301cb74  Update README for dependencies (#8607)
52ccd86a5  Deprecate spillDiskWrites (#8565)
fc0645545  Optimize LIKE for more relaxed patterns (#8594)
790d6bda3  Make MultiFragmentTest.partitionedOutputWithLargeInput run faster (#8610)
0579f974c  Add InitGoogleTest to ExchangeFuzzer (#8612)
1c40485bd  Minor fix for typo (#8628)
887b12ef4  Refactor ParquetData and PageReader to use FileMetaDataPtr (#8525)
92f380b4d  Eliminate redundant Expr::addNulls calls (#8616)
09d07d3e7  Fix doc-gen-job so that it has 3 retries before failing. (#7706)
f4c326d7e  Add flag for registering Presto compatible signatures for Bitwise_*_agg functions (#8491)
eb6b585bb  Cleanup circleci script (#8618)
37ba7cb4c  Break up AllTypes.nonSortedSpillFunctions test (#8621)
d66b18f1d  Change cast(double as json) to pad 0 and use scientific notation (#8498)
a94509425  Make DuckDbQueryRunner.createTable flush once after all rows are written instead of after every row (#8611)
3beff35f3  Optimize copying primitive type vectors (#8617)
fbbeb5664  PyVelox implementation for Array Vector (#6100)
280fc8611  Add fmt::format_as for SpillStats and MemoryArbitrator::Stats (#8608)

How was this patch tested?

Existing unit tests

[github-actions]

Thanks for opening a pull request!

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

See also:

• Other pull requests

[JkSelf]

/Benchmarks Velox

[GlutenPerfBot]

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

query	log/native_4616_time.csv	log/native_master_01_31_2024_f1ed68005_time.csv	difference	percentage
q1	35.23	32.75	-2.478	92.97%
q2	24.51	24.25	-0.265	98.92%
q3	37.86	37.43	-0.430	98.86%
q4	36.09	37.40	1.315	103.64%
q5	70.59	70.15	-0.443	99.37%
q6	5.72	7.00	1.278	122.34%
q7	85.34	83.66	-1.671	98.04%
q8	85.64	85.87	0.229	100.27%
q9	123.58	124.41	0.826	100.67%
q10	43.46	43.68	0.219	100.50%
q11	20.36	20.32	-0.040	99.80%
q12	28.17	26.52	-1.646	94.16%
q13	45.80	45.62	-0.180	99.61%
q14	21.57	19.16	-2.416	88.80%
q15	28.82	28.85	0.029	100.10%
q16	14.48	14.00	-0.477	96.70%
q17	101.34	102.02	0.680	100.67%
q18	149.92	149.84	-0.088	99.94%
q19	12.63	12.62	-0.012	99.91%
q20	26.23	26.35	0.125	100.48%
q21	222.26	228.32	6.062	102.73%
q22	15.15	13.50	-1.648	89.12%
total	1234.75	1233.72	-1.031	99.92%

[GlutenPerfBot]

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

query	log/native_master_02_02_2024_time.csv	log/native_master_01_31_2024_f1ed68005_time.csv	difference	percentage
q1	32.73	32.75	0.022	100.07%
q2	24.25	24.25	-0.006	99.98%
q3	37.77	37.43	-0.334	99.11%
q4	37.97	37.40	-0.565	98.51%
q5	71.99	70.15	-1.839	97.45%
q6	5.55	7.00	1.445	126.03%
q7	83.90	83.66	-0.231	99.72%
q8	85.94	85.87	-0.073	99.92%
q9	124.24	124.41	0.169	100.14%
q10	43.64	43.68	0.037	100.09%
q11	20.55	20.32	-0.225	98.90%
q12	31.84	26.52	-5.318	83.30%
q13	45.08	45.62	0.543	101.20%
q14	18.78	19.16	0.377	102.01%
q15	30.14	28.85	-1.294	95.71%
q16	14.09	14.00	-0.090	99.36%
q17	101.47	102.02	0.545	100.54%
q18	148.26	149.84	1.571	101.06%
q19	13.37	12.62	-0.754	94.36%
q20	26.47	26.35	-0.121	99.54%
q21	222.62	228.32	5.705	102.56%
q22	13.84	13.50	-0.337	97.57%
total	1234.49	1233.72	-0.771	99.94%

[GlutenPerfBot]

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

query	log/native_master_02_03_2024_time.csv	log/native_master_02_02_2024_75285bcb8_time.csv	difference	percentage
q1	33.28	32.73	-0.547	98.36%
q2	24.26	24.25	-0.011	99.96%
q3	38.78	37.77	-1.016	97.38%
q4	37.64	37.97	0.329	100.87%
q5	70.97	71.99	1.024	101.44%
q6	8.56	5.55	-3.007	64.87%
q7	84.29	83.90	-0.397	99.53%
q8	84.63	85.94	1.310	101.55%
q9	121.75	124.24	2.482	102.04%
q10	43.29	43.64	0.356	100.82%
q11	20.58	20.55	-0.038	99.82%
q12	26.43	31.84	5.413	120.48%
q13	45.82	45.08	-0.737	98.39%
q14	21.75	18.78	-2.967	86.36%
q15	29.07	30.14	1.072	103.69%
q16	14.30	14.09	-0.206	98.56%
q17	103.31	101.47	-1.835	98.22%
q18	149.45	148.26	-1.184	99.21%
q19	13.09	13.37	0.285	102.18%
q20	26.67	26.47	-0.199	99.26%
q21	222.74	222.62	-0.125	99.94%
q22	13.69	13.84	0.149	101.09%
total	1234.34	1234.49	0.152	100.01%