[CH][CELEBORN] CHCelebornColumnarBatchSerializer uses AtomicBoolean to identify whether to call close() to avoid calling close() twice situation

[SteNicholas]

What changes were proposed in this pull request?

CHCelebornColumnarBatchSerializer should use AtomicBoolean to identify whether to call close() to avoid calling close() twice situation which causes the replication of metrics like readBatchNumRows, numOutputRows.

How was this patch tested?

CI.

[github-actions]

Thanks for opening a pull request!

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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

[github-actions]

Run Gluten Clickhouse CI

[SteNicholas]

Ping @taiyang-li, @zzcclp, @zhztheplayer.

[taiyang-li]

Let's wait for ci

[taiyang-li]

LGTM

[GlutenPerfBot]

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

query	log/native_master_07_15_2024_time.csv	log/native_master_07_14_2024_b1149915c8_time.csv	difference	percentage
q1	15.02	14.75	-0.273	98.18%
q2	20.66	13.84	-6.813	67.02%
q3	4.53	4.01	-0.520	88.51%
q4	62.26	63.42	1.161	101.86%
q5	7.42	9.28	1.860	125.08%
q6	3.89	2.38	-1.511	61.17%
q7	5.84	6.16	0.328	105.62%
q8	5.53	5.28	-0.248	95.52%
q9	19.54	18.22	-1.322	93.23%
q10	11.53	10.68	-0.853	92.61%
q11	37.39	37.66	0.270	100.72%
q12	1.56	1.61	0.056	103.62%
q13	6.20	5.91	-0.283	95.43%
q14a	40.95	42.17	1.215	102.97%
q14b	39.80	39.05	-0.756	98.10%
q15	4.40	2.57	-1.832	58.36%
q16	38.06	43.13	5.066	113.31%
q17	4.87	5.03	0.158	103.24%
q18	6.27	6.42	0.150	102.38%
q19	2.53	3.19	0.663	126.22%
q20	1.30	1.50	0.205	115.79%
q21	2.32	1.08	-1.238	46.65%
q22	8.38	7.86	-0.521	93.79%
q23a	81.05	82.64	1.592	101.96%
q23b	103.31	101.11	-2.200	97.87%
q24a	71.20	80.01	8.810	112.37%
q24b	69.42	73.31	3.894	105.61%
q25	4.40	4.39	-0.013	99.71%
q26	2.64	4.41	1.770	167.06%
q27	3.20	4.78	1.573	149.12%
q28	20.90	21.90	1.007	104.82%
q29	8.40	6.55	-1.854	77.93%
q30	6.11	4.15	-1.966	67.83%
q31	9.29	6.09	-3.206	65.50%
q32	1.19	1.13	-0.057	95.23%
q33	9.21	4.76	-4.454	51.64%
q34	5.43	8.81	3.379	162.25%
q35	7.78	7.49	-0.293	96.24%
q36	3.92	3.68	-0.244	93.78%
q37	3.96	5.34	1.376	134.74%
q38	11.99	12.24	0.247	102.06%
q39a	3.18	3.22	0.039	101.23%
q39b	2.85	2.68	-0.174	93.89%
q40	3.70	3.81	0.110	102.98%
q41	0.65	0.63	-0.029	95.59%
q42	0.95	0.96	0.011	101.16%
q43	3.69	3.82	0.125	103.38%
q44	11.93	8.56	-3.371	71.74%
q45	3.52	3.64	0.124	103.51%
q46	3.45	7.16	3.712	207.55%
q47	14.27	14.28	0.016	100.11%
q48	3.82	4.61	0.790	120.65%
q49	9.73	10.12	0.393	104.04%
q50	19.73	20.45	0.719	103.64%
q51	8.01	8.01	0.004	100.05%
q52	1.25	3.85	2.604	308.35%
q53	2.01	2.00	-0.010	99.50%
q54	3.29	3.58	0.298	109.08%
q55	1.01	1.00	-0.011	98.87%
q56	4.38	4.90	0.519	111.84%
q57	8.77	9.10	0.328	103.74%
q58	2.68	2.75	0.063	102.35%
q59	10.88	14.07	3.198	129.40%
q60	4.81	4.82	0.009	100.19%
q61	5.36	5.52	0.163	103.04%
q62	3.70	3.98	0.273	107.37%
q63	1.96	2.16	0.200	110.21%
q64	52.29	51.32	-0.973	98.14%
q65	13.69	13.60	-0.088	99.36%
q66	3.71	3.36	-0.353	90.47%
q67	349.74	354.52	4.779	101.37%
q68	3.62	3.78	0.162	104.47%
q69	8.95	6.05	-2.892	67.67%
q70	8.21	10.90	2.699	132.89%
q71	2.47	2.49	0.019	100.78%
q72	183.50	183.94	0.433	100.24%
q73	2.04	2.28	0.235	111.54%
q74	21.00	21.25	0.249	101.18%
q75	23.59	26.18	2.587	110.97%
q76	9.24	9.48	0.240	102.60%
q77	2.11	2.34	0.231	110.93%
q78	38.62	39.07	0.449	101.16%
q79	3.54	3.62	0.076	102.16%
q80	14.05	11.04	-3.007	78.59%
q81	5.67	5.38	-0.291	94.87%
q82	6.65	6.24	-0.409	93.85%
q83	1.63	1.53	-0.105	93.57%
q84	3.00	2.78	-0.221	92.62%
q85	6.97	6.74	-0.231	96.69%
q86	3.41	3.37	-0.044	98.71%
q87	12.02	14.94	2.918	124.28%
q88	31.75	27.43	-4.326	86.38%
q89	3.33	3.23	-0.100	96.99%
q90	4.39	4.31	-0.088	97.99%
q91	6.07	2.61	-3.456	43.04%
q92	1.39	1.39	0.002	100.13%
q93	28.01	28.67	0.653	102.33%
q94	23.36	21.79	-1.575	93.26%
q9	80.97	81.64	0.664	100.82%
q5	3.91	3.23	-0.674	82.75%
q96	12.06	12.33	0.272	102.25%
q97	2.05	2.16	0.110	105.35%
q98	11.34	12.80	1.458	112.85%
q99	11.34	12.80	1.458	112.85%
total	1901.62	1915.44	13.825	100.73%

[GlutenPerfBot]

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

query	log/native_master_07_15_2024_time.csv	log/native_master_07_14_2024_b1149915c_time.csv	difference	percentage
q1	35.45	36.97	1.522	104.29%
q2	24.68	28.41	3.736	115.14%
q3	39.76	42.85	3.097	107.79%
q4	33.45	37.43	3.977	111.89%
q5	75.36	76.21	0.858	101.14%
q6	7.27	9.07	1.798	124.73%
q7	88.26	90.94	2.678	103.03%
q8	89.66	88.91	-0.744	99.17%
q9	124.99	128.89	3.893	103.11%
q10	47.32	50.32	3.000	106.34%
q11	21.19	21.49	0.294	101.39%
q12	24.22	29.24	5.024	120.74%
q13	41.31	40.98	-0.336	99.19%
q14	21.41	23.52	2.114	109.87%
q15	37.16	37.38	0.221	100.60%
q16	14.24	14.93	0.690	104.85%
q17	107.28	108.10	0.815	100.76%
q18	151.48	152.86	1.373	100.91%
q19	15.15	16.41	1.260	108.32%
q20	31.57	30.65	-0.923	97.08%
q21	271.10	274.86	3.761	101.39%
q22	12.35	14.81	2.463	119.94%
total	1314.66	1355.23	40.569	103.09%