Introduction

This is a report for the insert benchmark with 20M docs and 1 client(s). It is generated by scripts (bash, awk, sed) and Tufte might not be impressed. An overview of the insert benchmark is here and a short update is here. Below, by DBMS, I mean DBMS+version.config. An example is my8020.c10b40 where my means MySQL, 8020 is version 8.0.20 and c10b40 is the name for the configuration file.

The test server has 8 AMD cores, 16G RAM and an NVMe SSD. It is described here as the Beelink. The benchmark was run with 1 client and there were 1 or 3 connections per client (1 for queries or inserts without rate limits, 1+1 for rate limited inserts+deletes). It uses 1 table. It loads 20M rows per table without secondary indexes, creates secondary indexes, then inserts 100M rows per table with a delete per insert to avoid growing the table. It then does 3 read+write tests for 3600s each that do queries as fast as possible with 100, 500 and then 1000 inserts/second/client concurrent with the queries and 1000 deletes/second to avoid growing the table. The database is cached by the storage engine. Clients and the DBMS share one server. The per-database configs are in the per-database subdirectories here.

The tested DBMS are:


Contents


Summary

The numbers are inserts/s for l.i0 and l.i1, indexed docs (or rows) /s for l.x and queries/s for q*.2. The values are the average rate over the entire test for inserts (IPS) and queries (QPS). The range of values for IPS and QPS is split into 3 parts: bottom 25%, middle 50%, top 25%. Values in the bottom 25% have a red background, values in the top 25% have a green background and values in the middle have no color. A gray background is used for values that can be ignored because the DBMS did not sustain the target insert rate. Red backgrounds are not used when the minimum value is within 80% of the max value.

dbmsl.i0l.xl.i1q100.1q500.1q1000.1
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee 609767790723624247224222439
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee 613507730823878246824442448
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee 613507821023552254324262426
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee 606067730822894245924052424
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee 619207730823691236924092428
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee 609767821023574245824342438
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee 615387760623781246024502443
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee 613507760623883254324382411

This table has relative throughput, throughput for the DBMS relative to the DBMS in the first line, using the absolute throughput from the previous table. Values less than 0.95 have a yellow background. Values greater than 1.05 have a blue background.

dbmsl.i0l.xl.i1q100.1q500.1q1000.1
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee 1.001.001.001.001.001.00
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee 1.010.991.011.001.011.00
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee 1.011.001.001.031.000.99
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee 0.990.990.970.990.990.99
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee 1.020.991.000.960.991.00
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee 1.001.001.000.991.001.00
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee 1.011.001.011.001.011.00
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee 1.011.001.011.031.010.99

This lists the average rate of inserts/s for the tests that do inserts concurrent with queries. For such tests the query rate is listed in the table above. The read+write tests are setup so that the insert rate should match the target rate every second. Cells that are not at least 95% of the target have a red background to indicate a failure to satisfy the target.

dbmsq100.1q500.1q1000.1
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee100499998
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee100499998
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee100499997
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee100499998
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee100499998
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee100499998
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee100499998
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee100499998
target1005001000

l.i0

l.i0: load without secondary indexes. Graphs for performance per 1-second interval are here.

Average throughput:

Image

Insert response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For the max column values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee99.7330.1960.0690.0030.078
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee99.7340.1960.0680.0020.085
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee99.7350.1860.0760.0030.083
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee99.7320.1940.0720.0030.097
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee99.7360.1890.0730.0020.081
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee99.7340.1930.0710.0020.073
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee99.7330.1920.0720.0030.080
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee99.7360.1850.0760.0030.091

Performance metrics for the DBMS listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
60976	0	0	0.0	37.7	11.9	0.000	0.000	0.001	0.199	6330	22.4	0.104	29	0.7	1.9	0.6	0.078	61530	54737	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
61350	0	0	0.0	37.0	11.9	0.000	0.000	0.001	0.199	6324	22.3	0.103	29	0.7	1.9	0.7	0.085	61430	55146	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
61350	0	0	0.0	37.1	12.0	0.000	0.000	0.001	0.200	6354	22.3	0.104	29	0.7	1.9	0.6	0.083	61761	54638	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
60606	0	0	0.0	36.6	11.8	0.000	0.000	0.001	0.199	6303	22.1	0.104	29	0.7	1.9	0.6	0.097	61031	54040	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
61920	0	0	0.0	37.3	12.1	0.000	0.000	0.001	0.200	6420	22.4	0.104	29	0.7	1.9	0.6	0.081	62628	55038	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
60976	0	0	0.0	36.9	11.9	0.000	0.000	0.001	0.200	6341	22.5	0.104	30	0.7	1.9	0.6	0.073	61330	54939	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
61538	0	0	0.0	36.9	12.0	0.000	0.000	0.001	0.199	6345	22.2	0.103	29	0.7	1.9	0.7	0.080	61628	54740	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
61350	0	0	0.0	37.1	12.0	0.000	0.000	0.001	0.200	6352	22.2	0.104	29	0.7	1.9	0.7	0.091	61530	54440	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

l.x

l.x: create secondary indexes.

Average throughput:

Image

Performance metrics for the DBMS listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
77907	0	0	0.0	30.2	11.8	0.000	0.000	0.000	0.155	402	11.9	0.005	12	1.4	2.7	1.9	0.009	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
77308	0	0	0.0	29.6	11.7	0.000	0.000	0.000	0.155	407	12.0	0.005	12	1.4	2.7	2.0	0.016	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
78210	0	0	0.0	29.9	11.8	0.000	0.000	0.000	0.155	406	11.9	0.005	12	1.4	2.7	1.9	0.008	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
77308	0	0	0.0	29.5	11.7	0.000	0.000	0.000	0.155	410	11.9	0.005	12	1.4	2.7	1.9	0.010	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
77308	0	0	0.0	29.8	11.7	0.000	0.000	0.000	0.156	404	11.9	0.005	12	1.4	2.7	1.9	0.009	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
78210	0	0	0.0	30.7	11.8	0.000	0.000	0.000	0.155	425	12.0	0.005	12	1.4	2.7	1.9	0.009	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
77606	0	0	0.0	29.7	11.8	0.000	0.000	0.000	0.155	415	12.0	0.005	12	1.4	2.7	2.0	0.009	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
77606	0	0	0.0	29.7	11.8	0.000	0.000	0.000	0.155	504	12.8	0.006	13	1.4	2.7	2.0	0.013	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

l.i1

l.i1: continue load after secondary indexes created. Graphs for performance per 1-second interval are here.

Average throughput:

Image

Insert response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For the max column values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee99.6780.2870.0320.0020.098
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee99.6800.2790.0380.0030.106
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee99.6760.2790.0420.0030.105
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee99.4530.5110.0330.0030.093
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee99.6780.2810.0380.0030.116
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee99.6770.2800.0400.0030.099
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee99.6790.2780.0400.0030.112
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee99.6790.2830.0360.0030.106

Delete response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For the max column values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee99.6720.2880.0370.0030.091
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee99.6720.2820.0430.0030.109
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee99.6670.2830.0460.0030.099
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee99.4440.5150.0390.0030.103
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee99.6740.2810.0420.0030.110
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee99.6720.2800.0450.0030.113
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee99.6720.2810.0450.0030.119
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee99.6730.2850.0390.0030.109

Performance metrics for the DBMS listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
23624	0	87	1.0	97.7	36.0	0.004	0.042	0.004	1.560	10291	43.9	0.436	149	2.3	3.0	8.8	0.098	23574	21176	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
23878	0	74	0.6	97.3	36.2	0.003	0.027	0.004	1.553	10403	43.6	0.436	146	2.3	3.0	6.7	0.106	23873	21326	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
23552	0	69	0.9	97.2	35.9	0.003	0.040	0.004	1.560	10275	43.8	0.436	149	2.6	3.3	8.8	0.105	23524	21026	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
22894	0	86	0.9	95.9	35.6	0.004	0.041	0.004	1.592	10030	42.5	0.438	149	2.4	3.1	8.7	0.093	23024	19179	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
23691	0	75	0.6	98.4	36.8	0.003	0.026	0.004	1.590	10311	44.2	0.435	149	2.4	3.1	8.7	0.116	23673	21137	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
23574	0	71	0.9	97.6	36.2	0.003	0.037	0.004	1.572	10262	43.9	0.435	149	2.8	3.5	8.7	0.099	23524	21076	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
23781	0	74	0.7	97.2	36.0	0.003	0.029	0.004	1.549	10352	43.6	0.435	147	2.7	3.4	6.8	0.112	23724	21127	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
23883	0	79	0.7	96.9	36.0	0.003	0.028	0.004	1.542	10404	43.6	0.436	146	2.2	2.9	6.8	0.106	23845	21177	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q100.1

q100.1: range queries with 100 insert/s per client. Graphs for performance per 1-second interval are here.

Average throughput:

Image

Query response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee2.84597.1540.001nonzero0.009
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee2.28097.7190.001nonzero0.007
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee3.05796.9420.001nonzero0.009
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee2.62997.3700.001nonzero0.009
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee1.67098.3290.001nonzero0.010
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee2.17497.8250.0010.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee2.33597.6640.001nonzero0.004
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee3.00796.9920.0010.003

Insert response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee99.4310.5280.0420.018
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee99.3470.6250.0280.018
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee99.4720.4720.0560.023
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee99.4720.5000.0280.017
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee99.4440.5420.0140.017
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee99.4310.5000.0690.018
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee99.4170.5420.0420.017
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee99.4860.5140.016

Delete response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee71.94427.6810.3750.018
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee86.18113.7220.0970.018
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee86.95812.8330.2080.023
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee72.09727.4580.4440.023
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee79.00020.6940.3060.022
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee86.65313.1670.1810.018
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee74.19425.4860.3190.018
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee72.06927.6250.3060.017

Performance metrics for the DBMS listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
100	2472	2	0.2	4.1	0.4	0.001	0.066	0.041	3.848	9756	12.8	3.946	414	1.8	2.6	9.0	0.009	2461	2205	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
100	2468	1	0.1	4.3	0.5	0.000	0.034	0.043	4.671	9753	12.8	3.951	415	1.8	2.5	7.1	0.007	2461	2237	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
100	2543	3	0.2	4.2	0.4	0.001	0.084	0.042	4.217	10035	12.8	3.946	403	1.9	2.6	9.1	0.009	2526	2253	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
100	2459	2	0.2	4.1	0.4	0.001	0.063	0.041	4.022	9712	12.8	3.949	416	1.8	2.6	9.1	0.009	2445	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
100	2369	1	0.1	3.7	0.2	0.000	0.062	0.037	2.365	9372	12.8	3.956	432	1.7	2.5	9.0	0.010	2333	2189	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
100	2458	1	0.1	4.2	0.4	0.000	0.060	0.042	4.525	9710	12.8	3.950	417	1.8	2.6	9.2	0.003	2445	2253	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
100	2460	1	0.1	3.8	0.3	0.000	0.047	0.038	2.786	9710	12.7	3.947	413	1.8	2.6	7.0	0.004	2429	2269	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
100	2543	1	0.1	4.1	0.4	0.000	0.029	0.042	4.130	10043	12.8	3.949	403	1.8	2.6	7.1	0.003	2509	2333	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q500.1

q500.1: range queries with 500 insert/s per client. Graphs for performance per 1-second interval are here.

Average throughput:

Image

Query response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee1.74898.2520.0010.004
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee1.61998.3800.001nonzero0.005
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee1.61898.3820.0010.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee1.79498.2050.0010.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee1.80998.1910.0010.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee2.37297.627nonzerononzero0.005
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee2.34197.6580.001nonzero0.005
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee1.78598.214nonzero0.002

Insert response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee99.4970.4920.0110.039
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee99.5170.4750.0080.054
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee99.5250.4670.0080.055
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee99.4890.5000.0110.040
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee99.5000.4890.0110.056
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee99.4920.4940.0140.041
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee99.5250.4610.0140.041
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee99.5250.4670.0080.053

Delete response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee90.8838.9920.1250.054
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee90.9118.9690.1190.040
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee90.8788.9970.1250.040
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee90.8898.9920.1190.054
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee90.9118.9610.1280.041
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee90.9978.8890.1140.054
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee90.9088.9750.1170.055
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee90.9228.9580.1190.039

Performance metrics for the DBMS listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
499	2422	3	0.0	5.6	1.0	0.001	0.009	0.011	2.019	9685	13.9	3.999	459	1.8	3.0	9.0	0.004	2397	2205	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
499	2444	3	0.0	5.3	0.9	0.001	0.006	0.011	1.751	9768	13.8	3.997	452	1.7	2.9	7.0	0.005	2445	2253	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
499	2426	3	0.0	5.4	0.9	0.001	0.007	0.011	1.902	9707	13.9	4.002	458	1.8	3.0	9.1	0.003	2413	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
499	2405	3	0.0	5.5	1.0	0.001	0.007	0.011	1.972	9625	13.9	4.003	462	1.8	2.9	9.1	0.003	2397	2189	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
499	2409	3	0.0	5.3	0.9	0.001	0.007	0.011	1.843	9637	13.8	4.001	458	1.7	2.9	9.2	0.003	2397	2175	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
499	2434	3	0.0	5.5	0.9	0.001	0.006	0.011	1.940	9736	13.9	4.000	457	1.8	3.0	9.1	0.005	2428	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
499	2450	3	0.0	5.7	1.0	0.001	0.006	0.011	2.068	9801	13.9	4.001	454	1.8	2.9	7.0	0.005	2444	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
499	2438	3	0.0	5.5	0.9	0.001	0.006	0.011	1.890	9750	13.8	4.000	453	1.7	2.8	6.9	0.002	2429	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q1000.1

q1000.1: range queries with 1000 insert/s per client. Graphs for performance per 1-second interval are here.

Average throughput:

Image

Query response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee2.21697.7820.001nonzero0.006
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee2.47797.5210.0010.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee2.10397.8960.0010.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee2.28797.7120.0020.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee2.24997.7500.0010.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee2.07297.9260.001nonzero0.006
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee2.00097.9990.0010.003
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee2.14197.8580.001nonzero0.005

Insert response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee99.5350.4580.0070.055
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee99.6110.3830.0060.055
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee99.5360.4560.0080.056
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee99.5460.4470.0070.055
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee99.5490.4460.0060.056
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee99.5430.4510.0060.054
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee99.5460.4460.0070.0010.067
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee99.5890.4040.0070.040

Delete response time histogram: each cell has the percentage of responses that take <= the time in the header and max is the max response time in seconds. For max values in the top 25% of the range have a red background and in the bottom 25% of the range have a green background. The red background is not used when the min value is within 80% of the max value.

dbms256us1ms4ms16ms64ms256ms1s4s16sgtmax
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee95.2754.6600.0650.055
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee95.3314.6110.0570.0010.077
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee95.2364.6920.0720.042
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee95.2944.6320.0740.055
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee95.2174.7140.0690.052
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee95.2904.6420.0680.041
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee95.2944.6400.0650.053
fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee95.3394.5990.0620.055

Performance metrics for the DBMS listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
998	2439	6	0.1	7.7	1.9	0.003	0.025	0.008	1.915	9953	15.1	4.081	495	1.8	3.7	8.9	0.006	2413	2206	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
998	2448	6	0.0	7.7	1.9	0.003	0.013	0.008	1.931	9989	14.9	4.080	487	1.8	3.7	6.9	0.003	2414	2222	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
997	2426	7	0.1	7.8	1.8	0.003	0.027	0.008	1.882	9915	14.9	4.086	491	1.8	3.7	9.0	0.003	2397	2205	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
998	2424	7	0.1	7.8	1.9	0.003	0.030	0.008	1.970	9900	15.1	4.085	498	1.8	3.7	9.0	0.003	2397	2190	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
998	2428	6	0.0	7.5	1.7	0.003	0.018	0.007	1.771	9910	14.9	4.082	491	1.8	3.7	9.0	0.003	2397	2173	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
998	2438	7	0.1	7.8	1.9	0.003	0.048	0.008	1.953	9950	15.0	4.082	492	1.9	3.8	9.1	0.006	2413	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
998	2443	6	0.0	7.2	1.7	0.003	0.013	0.007	1.732	9978	14.8	4.084	485	1.8	3.7	6.9	0.003	2414	2237	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
998	2411	6	0.0	7.7	1.9	0.003	0.013	0.008	1.932	9852	15.1	4.086	501	1.8	3.8	6.9	0.005	2383	2205	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

l.i0

l.i0: load without secondary indexes

Performance metrics for all DBMS, not just the ones listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
60976	0	0	0.0	37.7	11.9	0.000	0.000	0.001	0.199	6330	22.4	0.104	29	0.7	1.9	0.6	0.078	61530	54737	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
61350	0	0	0.0	37.0	11.9	0.000	0.000	0.001	0.199	6324	22.3	0.103	29	0.7	1.9	0.7	0.085	61430	55146	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
61350	0	0	0.0	37.1	12.0	0.000	0.000	0.001	0.200	6354	22.3	0.104	29	0.7	1.9	0.6	0.083	61761	54638	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
60606	0	0	0.0	36.6	11.8	0.000	0.000	0.001	0.199	6303	22.1	0.104	29	0.7	1.9	0.6	0.097	61031	54040	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
61920	0	0	0.0	37.3	12.1	0.000	0.000	0.001	0.200	6420	22.4	0.104	29	0.7	1.9	0.6	0.081	62628	55038	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
60976	0	0	0.0	36.9	11.9	0.000	0.000	0.001	0.200	6341	22.5	0.104	30	0.7	1.9	0.6	0.073	61330	54939	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
61538	0	0	0.0	36.9	12.0	0.000	0.000	0.001	0.199	6345	22.2	0.103	29	0.7	1.9	0.7	0.080	61628	54740	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
61350	0	0	0.0	37.1	12.0	0.000	0.000	0.001	0.200	6352	22.2	0.104	29	0.7	1.9	0.7	0.091	61530	54440	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

l.x

l.x: create secondary indexes

Performance metrics for all DBMS, not just the ones listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
77907	0	0	0.0	30.2	11.8	0.000	0.000	0.000	0.155	402	11.9	0.005	12	1.4	2.7	1.9	0.009	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
77308	0	0	0.0	29.6	11.7	0.000	0.000	0.000	0.155	407	12.0	0.005	12	1.4	2.7	2.0	0.016	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
78210	0	0	0.0	29.9	11.8	0.000	0.000	0.000	0.155	406	11.9	0.005	12	1.4	2.7	1.9	0.008	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
77308	0	0	0.0	29.5	11.7	0.000	0.000	0.000	0.155	410	11.9	0.005	12	1.4	2.7	1.9	0.010	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
77308	0	0	0.0	29.8	11.7	0.000	0.000	0.000	0.156	404	11.9	0.005	12	1.4	2.7	1.9	0.009	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
78210	0	0	0.0	30.7	11.8	0.000	0.000	0.000	0.155	425	12.0	0.005	12	1.4	2.7	1.9	0.009	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
77606	0	0	0.0	29.7	11.8	0.000	0.000	0.000	0.155	415	12.0	0.005	12	1.4	2.7	2.0	0.009	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
77606	0	0	0.0	29.7	11.8	0.000	0.000	0.000	0.155	504	12.8	0.006	13	1.4	2.7	2.0	0.013	NA	NA	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

l.i1

l.i1: continue load after secondary indexes created

Performance metrics for all DBMS, not just the ones listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
23624	0	87	1.0	97.7	36.0	0.004	0.042	0.004	1.560	10291	43.9	0.436	149	2.3	3.0	8.8	0.098	23574	21176	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
23878	0	74	0.6	97.3	36.2	0.003	0.027	0.004	1.553	10403	43.6	0.436	146	2.3	3.0	6.7	0.106	23873	21326	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
23552	0	69	0.9	97.2	35.9	0.003	0.040	0.004	1.560	10275	43.8	0.436	149	2.6	3.3	8.8	0.105	23524	21026	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
22894	0	86	0.9	95.9	35.6	0.004	0.041	0.004	1.592	10030	42.5	0.438	149	2.4	3.1	8.7	0.093	23024	19179	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
23691	0	75	0.6	98.4	36.8	0.003	0.026	0.004	1.590	10311	44.2	0.435	149	2.4	3.1	8.7	0.116	23673	21137	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
23574	0	71	0.9	97.6	36.2	0.003	0.037	0.004	1.572	10262	43.9	0.435	149	2.8	3.5	8.7	0.099	23524	21076	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
23781	0	74	0.7	97.2	36.0	0.003	0.029	0.004	1.549	10352	43.6	0.435	147	2.7	3.4	6.8	0.112	23724	21127	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
23883	0	79	0.7	96.9	36.0	0.003	0.028	0.004	1.542	10404	43.6	0.436	146	2.2	2.9	6.8	0.106	23845	21177	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q100.1

q100.1: range queries with 100 insert/s per client

Performance metrics for all DBMS, not just the ones listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
100	2472	2	0.2	4.1	0.4	0.001	0.066	0.041	3.848	9756	12.8	3.946	414	1.8	2.6	9.0	0.009	2461	2205	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
100	2468	1	0.1	4.3	0.5	0.000	0.034	0.043	4.671	9753	12.8	3.951	415	1.8	2.5	7.1	0.007	2461	2237	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
100	2543	3	0.2	4.2	0.4	0.001	0.084	0.042	4.217	10035	12.8	3.946	403	1.9	2.6	9.1	0.009	2526	2253	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
100	2459	2	0.2	4.1	0.4	0.001	0.063	0.041	4.022	9712	12.8	3.949	416	1.8	2.6	9.1	0.009	2445	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
100	2369	1	0.1	3.7	0.2	0.000	0.062	0.037	2.365	9372	12.8	3.956	432	1.7	2.5	9.0	0.010	2333	2189	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
100	2458	1	0.1	4.2	0.4	0.000	0.060	0.042	4.525	9710	12.8	3.950	417	1.8	2.6	9.2	0.003	2445	2253	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
100	2460	1	0.1	3.8	0.3	0.000	0.047	0.038	2.786	9710	12.7	3.947	413	1.8	2.6	7.0	0.004	2429	2269	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
100	2543	1	0.1	4.1	0.4	0.000	0.029	0.042	4.130	10043	12.8	3.949	403	1.8	2.6	7.1	0.003	2509	2333	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q500.1

q500.1: range queries with 500 insert/s per client

Performance metrics for all DBMS, not just the ones listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
499	2422	3	0.0	5.6	1.0	0.001	0.009	0.011	2.019	9685	13.9	3.999	459	1.8	3.0	9.0	0.004	2397	2205	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
499	2444	3	0.0	5.3	0.9	0.001	0.006	0.011	1.751	9768	13.8	3.997	452	1.7	2.9	7.0	0.005	2445	2253	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
499	2426	3	0.0	5.4	0.9	0.001	0.007	0.011	1.902	9707	13.9	4.002	458	1.8	3.0	9.1	0.003	2413	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
499	2405	3	0.0	5.5	1.0	0.001	0.007	0.011	1.972	9625	13.9	4.003	462	1.8	2.9	9.1	0.003	2397	2189	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
499	2409	3	0.0	5.3	0.9	0.001	0.007	0.011	1.843	9637	13.8	4.001	458	1.7	2.9	9.2	0.003	2397	2175	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
499	2434	3	0.0	5.5	0.9	0.001	0.006	0.011	1.940	9736	13.9	4.000	457	1.8	3.0	9.1	0.005	2428	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
499	2450	3	0.0	5.7	1.0	0.001	0.006	0.011	2.068	9801	13.9	4.001	454	1.8	2.9	7.0	0.005	2444	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
499	2438	3	0.0	5.5	0.9	0.001	0.006	0.011	1.890	9750	13.8	4.000	453	1.7	2.8	6.9	0.002	2429	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q1000.1

q1000.1: range queries with 1000 insert/s per client

Performance metrics for all DBMS, not just the ones listed above. Some are normalized by throughput, others are not. Legend for results is here.

ips	qps	rps	rmbps	wps	wmbps	rpq	rkbpq	wpi	wkbpi	csps	cpups	cspq	cpupq	dbgb1	dbgb2	rss	maxop	p50	p99	tag
998	2439	6	0.1	7.7	1.9	0.003	0.025	0.008	1.915	9953	15.1	4.081	495	1.8	3.7	8.9	0.006	2413	2206	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
998	2448	6	0.0	7.7	1.9	0.003	0.013	0.008	1.931	9989	14.9	4.080	487	1.8	3.7	6.9	0.003	2414	2222	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
997	2426	7	0.1	7.8	1.8	0.003	0.027	0.008	1.882	9915	14.9	4.086	491	1.8	3.7	9.0	0.003	2397	2205	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
998	2424	7	0.1	7.8	1.9	0.003	0.030	0.008	1.970	9900	15.1	4.085	498	1.8	3.7	9.0	0.003	2397	2190	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
998	2428	6	0.0	7.5	1.7	0.003	0.018	0.007	1.771	9910	14.9	4.082	491	1.8	3.7	9.0	0.003	2397	2173	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
998	2438	7	0.1	7.8	1.9	0.003	0.048	0.008	1.953	9950	15.0	4.082	492	1.9	3.8	9.1	0.006	2413	2221	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
998	2443	6	0.0	7.2	1.7	0.003	0.013	0.007	1.732	9978	14.8	4.084	485	1.8	3.7	6.9	0.003	2414	2237	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
998	2411	6	0.0	7.7	1.9	0.003	0.013	0.008	1.932	9852	15.1	4.086	501	1.8	3.8	6.9	0.005	2383	2205	20m.fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

l.i0

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.733	0.196	0.069	0.003	0.000	0.000	0.000	0.000	0.078	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	99.734	0.196	0.068	0.002	0.000	0.000	0.000	0.000	0.085	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	99.735	0.186	0.076	0.003	0.000	0.000	0.000	0.000	0.083	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	99.732	0.194	0.072	0.003	0.000	0.000	0.000	0.000	0.097	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	99.736	0.189	0.073	0.002	0.000	0.000	0.000	0.000	0.081	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	99.734	0.193	0.071	0.002	0.000	0.000	0.000	0.000	0.073	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	99.733	0.192	0.072	0.003	0.000	0.000	0.000	0.000	0.080	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	99.736	0.185	0.076	0.003	0.000	0.000	0.000	0.000	0.091	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

l.x

TODO - determine whether there is data for create index response time


l.i1

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.678	0.287	0.032	0.002	0.000	0.000	0.000	0.000	0.098	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	99.680	0.279	0.038	0.003	0.000	0.000	0.000	0.000	0.106	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	99.676	0.279	0.042	0.003	0.000	0.000	0.000	0.000	0.105	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	99.453	0.511	0.033	0.003	0.000	0.000	0.000	0.000	0.093	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	99.678	0.281	0.038	0.003	0.000	0.000	0.000	0.000	0.116	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	99.677	0.280	0.040	0.003	0.000	0.000	0.000	0.000	0.099	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	99.679	0.278	0.040	0.003	0.000	0.000	0.000	0.000	0.112	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	99.679	0.283	0.036	0.003	0.000	0.000	0.000	0.000	0.106	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.672	0.288	0.037	0.003	0.000	0.000	0.000	0.000	0.091	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	99.672	0.282	0.043	0.003	0.000	0.000	0.000	0.000	0.109	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	99.667	0.283	0.046	0.003	0.000	0.000	0.000	0.000	0.099	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	99.444	0.515	0.039	0.003	0.000	0.000	0.000	0.000	0.103	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	99.674	0.281	0.042	0.003	0.000	0.000	0.000	0.000	0.110	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	99.672	0.280	0.045	0.003	0.000	0.000	0.000	0.000	0.113	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	99.672	0.281	0.045	0.003	0.000	0.000	0.000	0.000	0.119	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	99.673	0.285	0.039	0.003	0.000	0.000	0.000	0.000	0.109	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q100.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
2.845	97.154	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.009	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
2.280	97.719	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
3.057	96.942	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.009	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
2.629	97.370	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.009	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
1.670	98.329	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.010	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
2.174	97.825	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
2.335	97.664	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.004	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
3.007	96.992	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.431	0.528	0.042	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	99.347	0.625	0.028	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	99.472	0.472	0.056	0.000	0.000	0.000	0.000	0.000	0.023	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	99.472	0.500	0.028	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	99.444	0.542	0.014	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	99.431	0.500	0.069	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	99.417	0.542	0.042	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	99.486	0.514	0.000	0.000	0.000	0.000	0.000	0.000	0.016	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	71.944	27.681	0.375	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	86.181	13.722	0.097	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	86.958	12.833	0.208	0.000	0.000	0.000	0.000	0.000	0.023	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	72.097	27.458	0.444	0.000	0.000	0.000	0.000	0.000	0.023	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	79.000	20.694	0.306	0.000	0.000	0.000	0.000	0.000	0.022	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	86.653	13.167	0.181	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	74.194	25.486	0.319	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	72.069	27.625	0.306	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q500.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
1.748	98.252	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
1.619	98.380	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.005	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
1.618	98.382	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
1.794	98.205	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
1.809	98.191	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
2.372	97.627	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.005	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
2.341	97.658	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.005	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
1.785	98.214	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.497	0.492	0.011	0.000	0.000	0.000	0.000	0.000	0.039	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	99.517	0.475	0.008	0.000	0.000	0.000	0.000	0.000	0.054	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	99.525	0.467	0.008	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	99.489	0.500	0.011	0.000	0.000	0.000	0.000	0.000	0.040	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	99.500	0.489	0.011	0.000	0.000	0.000	0.000	0.000	0.056	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	99.492	0.494	0.014	0.000	0.000	0.000	0.000	0.000	0.041	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	99.525	0.461	0.014	0.000	0.000	0.000	0.000	0.000	0.041	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	99.525	0.467	0.008	0.000	0.000	0.000	0.000	0.000	0.053	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	90.883	8.992	0.125	0.000	0.000	0.000	0.000	0.000	0.054	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	90.911	8.969	0.119	0.000	0.000	0.000	0.000	0.000	0.040	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	90.878	8.997	0.125	0.000	0.000	0.000	0.000	0.000	0.040	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	90.889	8.992	0.119	0.000	0.000	0.000	0.000	0.000	0.054	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	90.911	8.961	0.128	0.000	0.000	0.000	0.000	0.000	0.041	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	90.997	8.889	0.114	0.000	0.000	0.000	0.000	0.000	0.054	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	90.908	8.975	0.117	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	90.922	8.958	0.119	0.000	0.000	0.000	0.000	0.000	0.039	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

q1000.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
2.216	97.782	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
2.477	97.521	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
2.103	97.896	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
2.287	97.712	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
2.249	97.750	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
2.072	97.926	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
2.000	97.999	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
2.141	97.858	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.005	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.535	0.458	0.007	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	99.611	0.383	0.006	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	99.536	0.456	0.008	0.000	0.000	0.000	0.000	0.000	0.056	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	99.546	0.447	0.007	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	99.549	0.446	0.006	0.000	0.000	0.000	0.000	0.000	0.056	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	99.543	0.451	0.006	0.000	0.000	0.000	0.000	0.000	0.054	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	99.546	0.446	0.007	0.001	0.000	0.000	0.000	0.000	0.067	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	99.589	0.404	0.007	0.000	0.000	0.000	0.000	0.000	0.040	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	95.275	4.660	0.065	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a0_bee
0.000	0.000	95.331	4.611	0.057	0.001	0.000	0.000	0.000	0.000	0.077	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a1_bee
0.000	0.000	95.236	4.692	0.072	0.000	0.000	0.000	0.000	0.000	0.042	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a2_bee
0.000	0.000	95.294	4.632	0.074	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a3_bee
0.000	0.000	95.217	4.714	0.069	0.000	0.000	0.000	0.000	0.000	0.052	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a4_bee
0.000	0.000	95.290	4.642	0.068	0.000	0.000	0.000	0.000	0.000	0.041	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a5_bee
0.000	0.000	95.294	4.640	0.065	0.000	0.000	0.000	0.000	0.000	0.053	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a6_bee
0.000	0.000	95.339	4.599	0.062	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_native_lto_jun23_ef5b9b101_hack.cy10a7_bee