[GLUTEN-1632][CH]Daily Update Clickhouse Version (20240710)

[kyligence-git]

Auto commit by gluten daily build, please check the build status and merge it if it's green.

[github-actions]

#1632

[github-actions]

Run Gluten Clickhouse CI

[baibaichen]

we need merge due to rebase failed with ClickHouse/ClickHouse#64607

[github-actions]

Run Gluten Clickhouse CI

[baibaichen]

在 ClickHouse/ClickHouse#54881 之前，tuple 函数创建的 DataTypeTuple 其 haveExplicitNames 为 false，之后为 true。当我们把 tuple1 cast 成 tuple2 时，Clickhouse 的逻辑如下：

//see FunctionsConversion.cpp
if (from_type->haveExplicitNames() && to_type->haveExplicitNames()){
    // 根据 name 来查找对应的列
} else {
    // 根据索引来查找对应的列    
}

对于下面的 SQL：

create table test (i1 int , i2 int) stored as parquet;

select named_struct('a', i1, 'b', i2) from test where i1 > 0;

实现中会有如下的 cast：

from_type	to_type
由 tuple 函数创建，注意条件 i1 > 0 ，所以 i1 是 notnull	上层指定的返回类型
Tuple(i1 Int64, i2 Nullable(Int64))	Tuple(a Nullable(Int64), b Nullable(Int64))

此时，如果 from_type->haveExplicitNames() 为真，则无法根据列名找到对应的列，返回只为 null 。当前 fix 的方法是将 enable_named_columns_in_function_tuple 设置为 false。

新增 TEST(Clickhouse, PR54881)

[baibaichen]

LGTM

[GlutenPerfBot]

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

query	log/native_master_07_10_2024_time.csv	log/native_master_07_07_2024_0cb2db3b7d_time.csv	difference	percentage
q1	15.29	14.83	-0.455	97.03%
q2	13.95	14.17	0.226	101.62%
q3	4.22	4.22	-0.007	99.83%
q4	63.44	61.61	-1.831	97.11%
q5	7.70	7.53	-0.170	97.79%
q6	3.27	2.49	-0.779	76.16%
q7	6.43	4.14	-2.296	64.30%
q8	3.61	4.67	1.063	129.47%
q9	17.20	25.14	7.944	146.20%
q10	11.04	12.48	1.440	113.05%
q11	35.23	36.05	0.821	102.33%
q12	2.44	1.52	-0.919	62.39%
q13	5.60	8.08	2.476	144.19%
q14a	40.98	41.02	0.046	100.11%
q14b	43.17	40.84	-2.332	94.60%
q15	2.78	3.92	1.142	141.13%
q16	38.06	39.15	1.094	102.87%
q17	4.83	5.04	0.210	104.35%
q18	6.24	6.38	0.136	102.18%
q19	2.24	3.06	0.820	136.53%
q20	1.54	1.57	0.034	102.21%
q21	4.56	2.21	-2.344	48.57%
q22	9.19	8.12	-1.070	88.36%
q23a	83.39	83.11	-0.281	99.66%
q23b	106.18	101.98	-4.203	96.04%
q24a	73.27	80.08	6.815	109.30%
q24b	66.71	67.97	1.255	101.88%
q25	4.42	5.72	1.294	129.25%
q26	4.40	4.17	-0.234	94.69%
q27	3.32	7.40	4.077	222.74%
q28	20.93	24.44	3.511	116.78%
q29	6.97	6.97	-0.003	99.96%
q30	7.19	4.25	-2.939	59.12%
q31	6.56	7.87	1.311	120.00%
q32	1.23	1.16	-0.065	94.70%
q33	4.82	4.82	-0.001	99.98%
q34	4.72	3.89	-0.832	82.37%
q35	8.03	6.92	-1.113	86.15%
q36	3.32	3.47	0.150	104.53%
q37	3.68	3.93	0.250	106.80%
q38	11.62	14.86	3.239	127.86%
q39a	3.62	3.34	-0.276	92.38%
q39b	3.08	2.79	-0.283	90.80%
q40	3.65	3.81	0.155	104.25%
q41	0.62	0.62	-0.004	99.41%
q42	0.97	1.01	0.044	104.60%
q43	8.28	3.82	-4.460	46.15%
q44	8.68	8.51	-0.174	98.00%
q45	3.29	3.42	0.138	104.19%
q46	3.42	3.44	0.014	100.41%
q47	14.48	14.39	-0.088	99.39%
q48	4.48	7.07	2.590	157.76%
q49	9.63	9.98	0.354	103.68%
q50	22.95	19.52	-3.435	85.03%
q51	8.78	8.65	-0.137	98.44%
q52	1.05	1.13	0.078	107.40%
q53	1.95	2.10	0.147	107.56%
q54	3.43	3.37	-0.059	98.29%
q55	1.06	0.93	-0.130	87.83%
q56	4.64	4.48	-0.157	96.61%
q57	8.77	8.73	-0.044	99.50%
q58	2.60	8.33	5.725	320.18%
q59	13.81	14.31	0.497	103.60%
q60	4.72	4.86	0.146	103.09%
q61	5.48	5.38	-0.100	98.17%
q62	4.79	3.87	-0.916	80.86%
q63	2.20	2.13	-0.069	96.84%
q64	50.06	49.37	-0.690	98.62%
q65	15.60	13.56	-2.048	86.87%
q66	3.61	3.61	-0.004	99.89%
q67	352.35	346.91	-5.440	98.46%
q68	3.77	3.63	-0.138	96.33%
q69	6.53	10.86	4.324	166.20%
q70	12.80	7.95	-4.852	62.09%
q71	3.93	2.50	-1.430	63.60%
q72	188.46	187.11	-1.346	99.29%
q73	3.51	2.33	-1.173	66.55%
q74	21.34	21.18	-0.155	99.27%
q75	22.96	23.34	0.376	101.64%
q76	9.18	9.20	0.018	100.19%
q77	2.15	2.34	0.194	109.05%
q78	41.75	41.31	-0.440	98.95%
q79	3.67	4.59	0.926	125.25%
q80	11.12	11.07	-0.050	99.55%
q81	5.10	5.19	0.088	101.73%
q82	9.58	9.25	-0.330	96.56%
q83	1.48	1.67	0.193	113.06%
q84	3.09	2.70	-0.392	87.32%
q85	6.79	7.00	0.209	103.07%
q86	3.36	3.23	-0.124	96.30%
q87	12.14	12.27	0.123	101.02%
q88	25.04	25.87	0.835	103.34%
q89	4.74	3.50	-1.237	73.90%
q90	9.35	9.62	0.271	102.90%
q91	2.70	2.48	-0.212	92.15%
q92	1.45	1.35	-0.101	93.02%
q93	27.59	27.74	0.154	100.56%
q94	21.18	20.96	-0.222	98.95%
q9	85.59	84.02	-1.564	98.17%
q5	3.57	3.29	-0.277	92.22%
q96	12.10	12.06	-0.042	99.65%
q97	2.10	2.22	0.119	105.68%
q98	9.68	9.41	-0.270	97.21%
q99	9.68	9.41	-0.270	97.21%
total	1913.61	1915.94	2.332	100.12%

[GlutenPerfBot]

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

query	log/native_master_07_10_2024_time.csv	log/native_master_07_09_2024_ca35e47df_time.csv	difference	percentage
q1	33.46	36.53	3.073	109.18%
q2	28.57	22.47	-6.091	78.68%
q3	38.44	38.91	0.472	101.23%
q4	35.14	31.14	-4.004	88.61%
q5	71.06	70.60	-0.451	99.36%
q6	6.45	7.61	1.163	118.03%
q7	83.24	86.01	2.766	103.32%
q8	88.10	85.73	-2.364	97.32%
q9	119.97	122.14	2.172	101.81%
q10	43.77	46.37	2.597	105.93%
q11	20.45	20.27	-0.183	99.11%
q12	26.84	23.99	-2.850	89.38%
q13	38.42	38.82	0.402	101.05%
q14	20.94	17.56	-3.377	83.87%
q15	30.00	33.88	3.881	112.94%
q16	15.85	14.18	-1.664	89.50%
q17	105.14	102.32	-2.814	97.32%
q18	145.23	149.22	3.988	102.75%
q19	14.76	13.77	-0.989	93.30%
q20	26.50	26.63	0.124	100.47%
q21	267.51	265.27	-2.237	99.16%
q22	12.07	13.09	1.014	108.40%
total	1271.88	1266.51	-5.373	99.58%