Introduction

This is a report for the insert benchmark with 4000M docs and 8 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 is a c2-standard-30 from GCP with 15 cores, hyperthreads disabled, 120G RAM, XFS + SW RAID 0 on 4 NVMe devices (1.5TB). The benchmark was run with 8 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). There are 8 tables, client per table. It loads 500M rows per table without secondary indexes, creates secondary indexes, then inserts 100M rows with a delete per insert to avoid growing the table. It then does 3 read+write tests for 1800s 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 larger than memory.

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 q100, q500, q1000. 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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30 54547961940283273314573179630424
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30 54607562277884379316473208630174
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30 55594262045984522317483126230682
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30 55920662482085233316733224630931
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30 55889362658286787312263218230838
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30 56250961549585782313743197230736
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30 55447764413884890319473254730866
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30 55663864011885653317973227830776
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30 55951962521185097312813192230799
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30 55811464104285025311763170130628
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30 55517063868884397311013164830007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30 56721566668387336322583253331100
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30 56569165661587146324573306331453
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30 55780262697585025315813176330527

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30 1.001.001.001.001.001.00
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30 1.001.011.011.011.010.99
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30 1.021.001.011.010.981.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30 1.031.011.021.011.011.02
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30 1.021.011.040.991.011.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30 1.030.991.031.001.011.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30 1.021.041.021.021.021.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30 1.021.031.031.011.021.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30 1.031.011.020.991.001.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30 1.021.031.020.991.001.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30 1.021.031.010.991.000.99
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30 1.041.081.051.031.021.02
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30 1.041.061.051.031.041.03
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30 1.021.011.021.001.001.00

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s3079039587934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s3079039587930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s3079039587930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s3079039607934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s3078939477930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s3078939477930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s3079139587934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s3078839507921
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s3078939527930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s3079039587925
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s3079139627934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s3079139657938
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s3078939567930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s3078939547930
target80040008000

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s305.96093.7910.2170.0140.0170.001nonzero1.226
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s306.60093.1620.2080.0120.0170.0010.697
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s306.93892.8190.2110.0140.0170.0010.791
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s306.96892.8590.1420.0120.0170.0010.580
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s307.79392.0480.1310.0100.0170.0010.394
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s307.14392.6940.1360.0100.0170.0010.578
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s306.84592.9900.1370.0100.0170.0010.408
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s307.29692.5350.1410.0100.0170.0010.395
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s307.38492.4570.1330.0090.0160.0010.388
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s307.09192.7490.1350.0090.0160.0010.436
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s307.44492.3860.1400.0110.0170.001nonzero1.183
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s307.72892.1070.1380.0110.0160.0010.556
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s307.46992.3690.1340.0110.0170.0010.369
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s307.38792.4450.1390.0100.0170.0010.426

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
545479	0	0	0.0	573.8	118.3	0.000	0.000	0.001	0.222	64933	73.1	0.119	20	125.1	125.3	28.5	1.226	69822	47649	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
546075	0	0	0.0	566.8	119.0	0.000	0.000	0.001	0.223	64900	72.8	0.119	20	125.3	125.5	27.8	0.697	69325	49247	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
555942	0	0	0.0	576.3	118.9	0.000	0.000	0.001	0.219	65733	73.1	0.118	20	125.0	125.2	27.4	0.791	70823	48465	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
559206	0	0	0.0	576.4	128.5	0.000	0.000	0.001	0.235	66036	73.4	0.118	20	125.2	127.1	27.9	0.580	71422	49346	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
558893	0	0	0.0	574.2	133.4	0.000	0.000	0.001	0.244	65802	73.6	0.118	20	125.4	125.6	28.3	0.394	71747	49946	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
562509	0	0	0.0	569.3	130.7	0.000	0.000	0.001	0.238	66253	73.6	0.118	20	125.4	125.6	27.4	0.578	71448	50545	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
554477	0	0	0.0	578.2	130.2	0.000	0.000	0.001	0.240	65141	73.9	0.117	20	125.5	127.4	27.1	0.408	71722	50545	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
556638	0	0	0.1	581.3	130.3	0.000	0.000	0.001	0.240	65515	73.8	0.118	20	124.2	126.1	27.5	0.395	71722	50046	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
559519	0	0	0.0	569.7	130.3	0.000	0.000	0.001	0.239	65594	73.7	0.117	20	124.9	125.2	26.1	0.388	71222	50464	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
558114	0	0	0.0	574.1	128.5	0.000	0.000	0.001	0.236	65554	73.7	0.117	20	125.4	125.6	26.3	0.436	71649	49646	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
555170	0	0	0.0	575.1	129.0	0.000	0.000	0.001	0.238	65447	73.4	0.118	20	125.3	125.5	26.8	1.183	70224	48647	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
567215	0	0	0.0	582.0	130.0	0.000	0.000	0.001	0.235	66536	74.1	0.117	20	124.4	126.3	26.3	0.556	72032	50561	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
565691	0	0	0.0	581.2	129.4	0.000	0.000	0.001	0.234	66345	73.9	0.117	20	125.0	125.3	26.5	0.369	72221	51140	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
557802	0	1	0.2	585.7	131.6	0.000	0.000	0.001	0.242	65883	73.9	0.118	20	125.3	125.5	27.1	0.426	72647	51444	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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
619402	0	450	86.7	231.4	73.5	0.001	0.143	0.000	0.121	1814	50.1	0.003	12	257.4	257.6	67.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
622778	0	453	85.3	234.8	72.2	0.001	0.140	0.000	0.119	1768	50.2	0.003	12	257.6	257.8	66.3	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
620459	0	453	85.5	234.2	72.7	0.001	0.141	0.000	0.120	1786	50.3	0.003	12	257.4	257.6	66.4	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
624820	0	456	86.0	234.1	71.4	0.001	0.141	0.000	0.117	1811	50.2	0.003	12	257.6	257.8	66.2	0.104	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
626582	0	458	86.8	235.7	71.7	0.001	0.142	0.000	0.117	1861	50.3	0.003	12	257.8	258.0	66.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
615495	0	445	84.7	233.2	69.6	0.001	0.141	0.000	0.116	1790	50.2	0.003	12	257.8	258.0	66.1	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
644138	0	473	89.2	240.3	74.0	0.001	0.142	0.000	0.118	1867	50.4	0.003	12	257.8	258.1	70.6	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
640118	0	463	87.9	240.8	72.2	0.001	0.141	0.000	0.116	1873	50.3	0.003	12	256.6	256.8	71.4	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
625211	0	466	87.9	233.1	72.4	0.001	0.144	0.000	0.119	1803	50.3	0.003	12	257.3	257.5	70.0	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
641042	0	478	89.9	241.8	72.7	0.001	0.144	0.000	0.116	1968	50.2	0.003	12	257.7	257.9	69.7	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
638688	0	471	88.3	241.9	72.2	0.001	0.141	0.000	0.116	1986	50.0	0.003	12	257.6	257.9	69.9	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
666683	0	479	91.0	251.3	75.4	0.001	0.140	0.000	0.116	2044	50.1	0.003	11	256.8	258.7	69.9	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
656615	0	481	90.4	248.1	74.7	0.001	0.141	0.000	0.116	1982	50.5	0.003	12	257.4	257.6	63.0	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
626975	0	459	86.2	236.5	72.2	0.001	0.141	0.000	0.118	1837	50.0	0.003	12	257.6	257.8	62.6	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s300.00835.28564.5100.1730.0210.003nonzero2.841
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s300.00837.87561.9300.1610.0220.003nonzero2.180
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s300.01037.49062.3160.1600.0210.003nonzero7.727
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s300.01237.99761.8290.1450.0160.0020.492
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s300.02341.71358.0950.1500.0170.0020.400
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s300.01239.23360.5760.1610.0160.0020.476
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s300.01037.12062.7100.1430.0160.0020.402
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s300.01039.21060.6160.1460.0160.002nonzero1.369
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s300.01037.84161.9960.1370.0150.0020.610
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s300.00937.02962.8090.1360.0150.0020.423
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s300.00735.80564.0310.1400.0150.0020.474
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s300.01442.36057.4700.1370.0170.0020.562
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s300.01642.21257.6200.1340.0160.0020.396
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s300.01137.10162.7350.1360.0160.0010.391

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s300.01332.20567.4020.3400.0360.003nonzero3.281
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s300.01334.05365.5790.3160.0350.004nonzero2.180
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s300.01634.34065.2860.3210.0340.003nonzero8.184
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s300.01934.32965.3120.3090.0290.0020.493
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s300.02338.34261.3140.2920.0280.0020.401
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s300.02336.08163.5510.3130.0300.0020.480
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s300.01933.94465.7040.3020.0280.0020.400
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s300.01635.94263.7130.2980.0280.002nonzero1.356
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s300.01734.51665.1370.2990.0280.0020.615
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s300.01233.98565.6840.2900.0280.0020.426
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s300.01632.86366.7980.2930.0280.0020.545
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s300.02938.82560.8410.2740.0290.0020.619
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s300.02838.45161.2000.2890.0290.0020.401
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s300.02134.19465.4680.2870.0280.0020.386

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
83273	0	455	37.3	772.1	140.7	0.005	0.458	0.009	1.731	49625	68.9	0.596	124	282.7	284.1	69.5	2.841	10389	6743	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
84379	0	460	37.7	781.7	144.7	0.005	0.457	0.009	1.756	49924	69.3	0.592	123	283.2	284.6	69.3	2.180	10539	6895	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
84522	0	450	38.2	777.6	146.7	0.005	0.463	0.009	1.777	50055	69.1	0.592	123	285.4	286.8	69.7	7.727	10539	6945	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
85233	0	459	38.7	778.0	153.2	0.005	0.465	0.009	1.840	50551	69.1	0.593	122	283.2	284.6	69.8	0.492	10643	7292	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
86787	0	471	41.3	788.0	154.6	0.005	0.487	0.009	1.825	51042	70.0	0.588	121	284.3	285.7	77.1	0.400	10788	7442	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
85782	0	469	40.8	785.1	154.9	0.005	0.487	0.009	1.849	50588	69.5	0.590	122	282.5	283.9	77.3	0.476	10738	7242	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
84890	0	439	33.6	781.0	151.9	0.005	0.405	0.009	1.833	50118	69.7	0.590	123	284.7	286.1	70.6	0.402	10592	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
85653	0	429	33.3	782.5	150.1	0.005	0.399	0.009	1.795	50177	69.8	0.586	122	283.1	284.5	71.4	1.369	10738	7142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
85097	0	446	33.0	777.4	150.0	0.005	0.397	0.009	1.804	50451	69.3	0.593	122	283.0	284.4	68.7	0.610	10688	7192	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
85025	0	447	33.1	782.8	149.8	0.005	0.399	0.009	1.804	50255	69.3	0.591	122	282.8	284.2	68.6	0.423	10686	7142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
84397	0	437	32.5	778.7	148.4	0.005	0.394	0.009	1.801	50084	69.2	0.593	123	282.9	284.2	68.6	0.474	10542	7146	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
87336	0	448	33.8	801.7	151.2	0.005	0.396	0.009	1.772	50993	70.3	0.584	121	282.8	284.2	68.7	0.562	10888	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
87146	0	452	33.8	795.2	149.4	0.005	0.398	0.009	1.755	51246	69.9	0.588	120	283.0	284.4	61.6	0.396	10838	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
85025	0	434	32.7	778.0	150.0	0.005	0.394	0.009	1.807	50612	68.8	0.595	121	282.9	284.3	61.0	0.391	10688	7142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s3073.58526.0500.3630.001nonzero0.039
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s3074.98224.6700.3470.001nonzero0.058
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s3075.23824.4860.2750.001nonzero0.053
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s3075.58724.0180.3930.002nonzero0.056
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s3073.53025.9630.5060.001nonzero0.034
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s3074.21925.2820.4970.001nonzero0.032
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s3076.01323.6300.3550.001nonzerononzero0.095
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s3075.81723.7960.3860.001nonzero0.055
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s3073.60226.0320.3640.001nonzero0.052
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s3072.85626.7820.3610.001nonzerononzero0.075
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s3072.86726.7500.3810.001nonzero0.045
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s3075.80123.9220.2760.001nonzero0.051
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s3077.09622.6700.2330.001nonzero0.055
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s3074.27825.4760.2440.001nonzerononzero0.083

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s300.23699.7220.0170.0240.038
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s301.55698.4200.0210.0030.016
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s300.88299.1040.0140.015
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s303.13996.8540.0030.0030.022
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s302.02497.9440.0310.010
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s300.84499.1250.0310.010
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s303.41096.5760.0140.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s301.27898.7190.0030.005
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s301.56298.4380.004
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s302.62897.3610.0100.008
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s302.11597.8400.0450.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s303.46996.5240.0070.005
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s304.42495.5660.0100.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s300.52199.3330.1320.0140.020

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s302.43897.5070.0310.0240.039
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s301.92098.0420.0240.0140.026
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s305.53194.4380.0280.0030.019
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s304.98394.9860.0280.0030.025
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s304.42495.5240.0520.014
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s305.44894.5280.0240.014
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s305.06994.8890.0380.0030.024
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s306.74793.2470.0070.005
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s305.17794.8090.0070.0070.032
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s306.25093.7330.0170.008
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s307.66092.3060.0350.011
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s309.14990.8370.0100.0030.017
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s306.80693.1810.0140.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s303.73396.1080.1490.0100.053

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
790	31457	1524	14.1	26.7	4.3	0.048	0.459	0.034	5.534	126345	53.1	4.016	253	281.5	283.2	68.8	0.039	3964	1902	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
790	31647	1592	15.0	29.5	4.6	0.050	0.487	0.037	5.953	127384	53.3	4.025	253	281.5	283.2	69.4	0.058	4381	2142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
790	31748	1436	13.6	27.5	4.2	0.045	0.439	0.035	5.436	127881	53.1	4.028	251	281.6	283.3	69.4	0.053	4012	1902	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
790	31673	1540	15.0	29.6	4.9	0.049	0.486	0.037	6.361	127419	52.9	4.023	251	281.4	283.2	69.8	0.056	4171	1758	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
789	31226	1969	19.8	33.2	5.1	0.063	0.650	0.042	6.601	126743	53.1	4.059	255	281.5	283.2	89.2	0.034	4171	1918	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
789	31374	1958	18.6	26.8	4.0	0.062	0.605	0.034	5.130	126896	52.6	4.045	251	281.5	283.2	89.0	0.032	4235	2063	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
791	31947	1664	16.4	28.2	4.3	0.052	0.527	0.036	5.507	128499	53.2	4.022	250	281.5	283.2	76.8	0.095	4203	2015	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
788	31797	1580	15.4	29.0	4.6	0.050	0.497	0.037	5.999	127919	53.0	4.023	250	281.5	283.2	77.8	0.055	4125	2142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
789	31281	1483	14.1	27.3	4.0	0.047	0.461	0.035	5.175	125929	53.0	4.026	254	281.5	283.2	69.1	0.052	3949	1902	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
790	31176	1530	14.5	29.0	4.2	0.049	0.476	0.037	5.476	125826	53.1	4.036	255	281.5	283.2	70.2	0.075	4045	1887	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
791	31101	1540	14.6	30.6	4.3	0.050	0.480	0.039	5.539	125091	53.2	4.022	257	281.5	283.2	69.2	0.045	3965	2078	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
791	32258	1485	13.9	27.9	4.4	0.046	0.441	0.035	5.643	128747	53.2	3.991	247	281.4	283.1	69.4	0.051	4235	2126	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
789	32457	1320	12.5	27.1	3.4	0.041	0.395	0.034	4.374	129621	53.1	3.994	245	281.5	283.2	61.7	0.055	4139	2254	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
789	31581	1365	13.2	28.7	4.2	0.043	0.429	0.036	5.404	127074	53.4	4.024	254	281.5	283.2	65.2	0.083	4171	2110	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s3071.79728.1910.012nonzerononzerononzero0.118
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s3073.30126.6900.010nonzerononzero0.036
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s3067.86632.1220.012nonzerononzero0.058
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s3073.66026.3300.009nonzerononzerononzero0.066
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s3073.20526.7850.009nonzerononzero0.027
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s3072.19527.7950.010nonzerononzero0.042
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s3074.83525.1560.009nonzerononzero0.061
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s3074.09625.8930.010nonzerononzero0.046
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s3072.39727.5920.010nonzerononzero0.029
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s3071.03728.9530.009nonzerononzerononzero0.087
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s3070.76829.2190.013nonzerononzerononzero0.096
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s3073.83726.1540.008nonzerononzero0.020
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s3076.11623.8750.008nonzerononzero0.018
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s3071.20928.7800.010nonzerononzero0.024

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s301.74096.6471.5970.0150.0010.113
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s306.01693.9400.0410.0030.030
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s302.18195.8281.9840.0080.029
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s304.59695.2990.1040.0010.039
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s305.60593.9150.4690.0110.042
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s305.04994.6540.2930.0040.019
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s305.50294.3780.1170.0020.027
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s304.39594.8660.7370.0020.021
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s302.77897.0630.1530.0050.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s304.99294.8590.1490.0010.020
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s302.07995.7122.2060.0030.022
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s3014.68985.2850.0220.0010.0020.094
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s307.26192.6180.1200.0010.017
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s302.76397.0170.2180.0020.017

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s308.49289.9881.4970.0220.0010.113
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s3012.68987.2370.0670.0080.032
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s308.55889.5481.8790.0150.037
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s3013.74486.1130.1360.0060.042
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s3016.99182.5360.4580.0150.026
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s3016.66283.0360.2900.0110.038
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s3015.73784.1440.1150.0040.034
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s3012.85886.4510.6850.0060.025
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s3012.01787.8310.1440.0080.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s3016.51983.3440.1330.0040.040
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s308.41589.6131.9660.0060.033
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s3025.16574.8010.0270.0050.0020.096
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s3016.81683.0720.1090.0020.0010.065
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s3010.61589.1630.2180.0030.033

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
3958	31796	81	2.4	48.0	8.8	0.003	0.077	0.012	2.266	126492	56.5	3.978	267	281.5	282.8	66.2	0.118	3884	3260	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
3958	32086	69	2.2	46.3	8.7	0.002	0.071	0.012	2.248	127872	56.5	3.985	264	281.6	282.8	66.5	0.036	4251	3502	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
3958	31262	86	2.2	48.5	8.9	0.003	0.072	0.012	2.300	124705	56.7	3.989	272	281.5	282.8	66.0	0.058	3964	3214	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
3960	32246	81	2.2	49.3	10.0	0.003	0.069	0.012	2.580	128559	56.5	3.987	263	281.4	282.7	65.9	0.066	4076	3438	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
3947	32182	122	4.3	45.8	7.3	0.004	0.137	0.012	1.892	128133	56.0	3.981	261	281.6	282.8	86.0	0.027	4139	3260	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
3947	31972	140	4.9	52.9	7.9	0.004	0.158	0.013	2.037	127557	56.6	3.990	266	281.4	282.6	87.3	0.042	4076	3117	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
3958	32547	100	2.6	48.1	8.8	0.003	0.081	0.012	2.277	129686	56.6	3.985	261	281.5	282.7	67.6	0.061	4044	3356	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
3950	32278	62	2.0	45.5	9.5	0.002	0.063	0.012	2.465	128406	56.2	3.978	261	281.6	282.9	73.3	0.046	3980	3101	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
3952	31922	84	2.3	48.9	9.0	0.003	0.073	0.012	2.343	127449	56.4	3.993	265	281.5	282.7	64.5	0.029	4045	3356	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
3958	31701	74	2.2	47.5	8.8	0.002	0.071	0.012	2.282	126385	56.2	3.987	266	281.6	282.8	64.4	0.087	3917	3228	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
3962	31648	86	2.1	47.9	8.1	0.003	0.068	0.012	2.084	126226	56.5	3.988	268	281.6	282.8	64.7	0.096	3836	3260	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
3965	32533	63	2.5	48.2	8.4	0.002	0.079	0.012	2.170	128638	56.4	3.954	260	281.6	282.8	65.4	0.020	4092	3294	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
3956	33063	72	2.1	47.4	7.9	0.002	0.064	0.012	2.038	130586	56.2	3.950	255	281.6	282.8	62.5	0.018	4108	3470	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
3954	31763	84	2.4	49.8	8.4	0.003	0.079	0.013	2.182	126945	56.4	3.997	266	281.4	282.6	63.3	0.024	4028	3340	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s3064.62235.3570.020nonzerononzerononzero0.487
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s3062.16637.8140.020nonzerononzero0.057
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s3065.71534.2580.026nonzerononzero0.040
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s3067.29732.6640.038nonzerononzero0.031
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s3066.29833.6730.0290.001nonzero0.054
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s3065.69834.2760.0250.001nonzerononzero0.101
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s3066.33233.6500.0180.001nonzero0.033
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s3066.07333.9040.0220.001nonzero0.053
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s3066.34733.6290.024nonzerononzero0.062
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s3065.61434.3560.029nonzerononzero0.044
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s3061.82038.1580.021nonzerononzero0.061
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s3067.29432.6760.0290.001nonzerononzero0.086
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s3068.91531.0660.019nonzerononzerononzero0.078
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s3064.37835.5990.0220.001nonzerononzero0.069

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s303.01296.6610.3190.0070.026
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s301.59798.2440.1540.0040.023
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s302.16893.8273.9860.0190.029
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s300.93172.76226.2640.0430.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s302.08292.2985.6030.0180.031
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s303.51493.5272.9400.0190.027
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s304.47695.3010.2220.0010.025
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s302.03596.5981.3600.0080.046
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s303.36794.4822.1430.008nonzero0.068
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s301.62191.3267.0370.0160.052
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s302.33097.2000.4670.0020.019
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s304.21287.4348.3300.0240.036
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s304.22394.7521.0180.0070.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s301.64096.4351.9060.0180.029

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_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s3012.23387.3860.3580.0220.0010.118
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s308.75791.0400.1890.0140.0010.099
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s308.10588.0263.8420.0270.059
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s304.45770.15225.3360.0550.053
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s307.14787.6275.1930.032nonzero0.069
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s3011.05686.0492.8630.0330.052
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s3012.61587.1300.2450.0100.041
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s308.84489.8171.3260.0130.054
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s3010.79787.1832.0090.011nonzero0.069
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s307.13086.2846.5620.0240.052
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s309.80889.7170.4670.0070.035
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s309.36982.7107.8890.0310.047
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s3011.96687.0240.9970.0130.046
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s308.10090.0921.7870.0200.035

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
7934	30424	167	4.4	93.9	15.6	0.005	0.149	0.012	2.010	122509	59.7	4.027	294	281.5	281.9	66.8	0.487	3820	3133	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
7930	30174	157	4.8	94.6	16.0	0.005	0.163	0.012	2.062	121765	59.8	4.035	297	281.6	282.0	67.6	0.057	3932	3212	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
7930	30682	197	4.8	94.8	16.2	0.006	0.160	0.012	2.093	123697	59.9	4.032	293	281.7	282.0	67.5	0.040	3884	3149	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
7934	30931	159	4.8	93.6	16.3	0.005	0.160	0.012	2.105	123785	59.6	4.002	289	281.5	281.8	67.6	0.031	3916	3198	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
7930	30838	147	5.0	97.9	15.5	0.005	0.165	0.012	2.002	123776	60.0	4.014	292	281.9	282.2	86.3	0.054	3996	3101	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
7930	30736	143	4.9	93.2	16.3	0.005	0.164	0.012	2.107	123903	59.8	4.031	292	281.5	281.8	87.7	0.101	3900	3005	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
7934	30866	163	5.0	95.4	17.2	0.005	0.167	0.012	2.225	125008	60.0	4.050	292	281.5	281.8	66.4	0.033	3852	3117	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
7921	30776	169	5.2	98.2	17.2	0.006	0.172	0.012	2.227	123986	60.0	4.029	292	281.6	281.9	70.4	0.053	3820	3085	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
7930	30799	146	3.9	95.7	16.1	0.005	0.130	0.012	2.077	124201	59.8	4.033	291	281.8	282.1	63.4	0.062	3916	3164	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
7925	30628	154	4.4	93.2	16.2	0.005	0.146	0.012	2.089	123108	59.7	4.019	292	281.5	281.9	63.1	0.044	3852	3101	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
7934	30007	169	4.7	94.4	16.0	0.006	0.160	0.012	2.062	122021	59.9	4.066	299	281.6	281.9	63.2	0.061	3756	3022	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
7938	31100	182	4.2	93.6	15.9	0.006	0.137	0.012	2.057	124315	60.0	3.997	289	281.4	281.8	63.3	0.086	3868	3134	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
7930	31453	165	4.4	95.2	15.2	0.005	0.144	0.012	1.964	125790	59.9	3.999	286	281.5	281.9	62.8	0.078	3980	3196	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
7930	30527	151	4.0	92.0	15.0	0.005	0.134	0.012	1.942	123322	59.7	4.040	293	281.6	281.9	63.3	0.069	3884	3182	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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
545479	0	0	0.0	573.8	118.3	0.000	0.000	0.001	0.222	64933	73.1	0.119	20	125.1	125.3	28.5	1.226	69822	47649	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
546075	0	0	0.0	566.8	119.0	0.000	0.000	0.001	0.223	64900	72.8	0.119	20	125.3	125.5	27.8	0.697	69325	49247	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
555942	0	0	0.0	576.3	118.9	0.000	0.000	0.001	0.219	65733	73.1	0.118	20	125.0	125.2	27.4	0.791	70823	48465	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
559206	0	0	0.0	576.4	128.5	0.000	0.000	0.001	0.235	66036	73.4	0.118	20	125.2	127.1	27.9	0.580	71422	49346	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
558893	0	0	0.0	574.2	133.4	0.000	0.000	0.001	0.244	65802	73.6	0.118	20	125.4	125.6	28.3	0.394	71747	49946	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
562509	0	0	0.0	569.3	130.7	0.000	0.000	0.001	0.238	66253	73.6	0.118	20	125.4	125.6	27.4	0.578	71448	50545	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
554477	0	0	0.0	578.2	130.2	0.000	0.000	0.001	0.240	65141	73.9	0.117	20	125.5	127.4	27.1	0.408	71722	50545	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
556638	0	0	0.1	581.3	130.3	0.000	0.000	0.001	0.240	65515	73.8	0.118	20	124.2	126.1	27.5	0.395	71722	50046	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
559519	0	0	0.0	569.7	130.3	0.000	0.000	0.001	0.239	65594	73.7	0.117	20	124.9	125.2	26.1	0.388	71222	50464	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
558114	0	0	0.0	574.1	128.5	0.000	0.000	0.001	0.236	65554	73.7	0.117	20	125.4	125.6	26.3	0.436	71649	49646	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
555170	0	0	0.0	575.1	129.0	0.000	0.000	0.001	0.238	65447	73.4	0.118	20	125.3	125.5	26.8	1.183	70224	48647	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
567215	0	0	0.0	582.0	130.0	0.000	0.000	0.001	0.235	66536	74.1	0.117	20	124.4	126.3	26.3	0.556	72032	50561	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
565691	0	0	0.0	581.2	129.4	0.000	0.000	0.001	0.234	66345	73.9	0.117	20	125.0	125.3	26.5	0.369	72221	51140	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
557802	0	1	0.2	585.7	131.6	0.000	0.000	0.001	0.242	65883	73.9	0.118	20	125.3	125.5	27.1	0.426	72647	51444	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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
619402	0	450	86.7	231.4	73.5	0.001	0.143	0.000	0.121	1814	50.1	0.003	12	257.4	257.6	67.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
622778	0	453	85.3	234.8	72.2	0.001	0.140	0.000	0.119	1768	50.2	0.003	12	257.6	257.8	66.3	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
620459	0	453	85.5	234.2	72.7	0.001	0.141	0.000	0.120	1786	50.3	0.003	12	257.4	257.6	66.4	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
624820	0	456	86.0	234.1	71.4	0.001	0.141	0.000	0.117	1811	50.2	0.003	12	257.6	257.8	66.2	0.104	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
626582	0	458	86.8	235.7	71.7	0.001	0.142	0.000	0.117	1861	50.3	0.003	12	257.8	258.0	66.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
615495	0	445	84.7	233.2	69.6	0.001	0.141	0.000	0.116	1790	50.2	0.003	12	257.8	258.0	66.1	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
644138	0	473	89.2	240.3	74.0	0.001	0.142	0.000	0.118	1867	50.4	0.003	12	257.8	258.1	70.6	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
640118	0	463	87.9	240.8	72.2	0.001	0.141	0.000	0.116	1873	50.3	0.003	12	256.6	256.8	71.4	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
625211	0	466	87.9	233.1	72.4	0.001	0.144	0.000	0.119	1803	50.3	0.003	12	257.3	257.5	70.0	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
641042	0	478	89.9	241.8	72.7	0.001	0.144	0.000	0.116	1968	50.2	0.003	12	257.7	257.9	69.7	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
638688	0	471	88.3	241.9	72.2	0.001	0.141	0.000	0.116	1986	50.0	0.003	12	257.6	257.9	69.9	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
666683	0	479	91.0	251.3	75.4	0.001	0.140	0.000	0.116	2044	50.1	0.003	11	256.8	258.7	69.9	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
656615	0	481	90.4	248.1	74.7	0.001	0.141	0.000	0.116	1982	50.5	0.003	12	257.4	257.6	63.0	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
626975	0	459	86.2	236.5	72.2	0.001	0.141	0.000	0.118	1837	50.0	0.003	12	257.6	257.8	62.6	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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
83273	0	455	37.3	772.1	140.7	0.005	0.458	0.009	1.731	49625	68.9	0.596	124	282.7	284.1	69.5	2.841	10389	6743	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
84379	0	460	37.7	781.7	144.7	0.005	0.457	0.009	1.756	49924	69.3	0.592	123	283.2	284.6	69.3	2.180	10539	6895	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
84522	0	450	38.2	777.6	146.7	0.005	0.463	0.009	1.777	50055	69.1	0.592	123	285.4	286.8	69.7	7.727	10539	6945	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
85233	0	459	38.7	778.0	153.2	0.005	0.465	0.009	1.840	50551	69.1	0.593	122	283.2	284.6	69.8	0.492	10643	7292	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
86787	0	471	41.3	788.0	154.6	0.005	0.487	0.009	1.825	51042	70.0	0.588	121	284.3	285.7	77.1	0.400	10788	7442	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
85782	0	469	40.8	785.1	154.9	0.005	0.487	0.009	1.849	50588	69.5	0.590	122	282.5	283.9	77.3	0.476	10738	7242	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
84890	0	439	33.6	781.0	151.9	0.005	0.405	0.009	1.833	50118	69.7	0.590	123	284.7	286.1	70.6	0.402	10592	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
85653	0	429	33.3	782.5	150.1	0.005	0.399	0.009	1.795	50177	69.8	0.586	122	283.1	284.5	71.4	1.369	10738	7142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
85097	0	446	33.0	777.4	150.0	0.005	0.397	0.009	1.804	50451	69.3	0.593	122	283.0	284.4	68.7	0.610	10688	7192	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
85025	0	447	33.1	782.8	149.8	0.005	0.399	0.009	1.804	50255	69.3	0.591	122	282.8	284.2	68.6	0.423	10686	7142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
84397	0	437	32.5	778.7	148.4	0.005	0.394	0.009	1.801	50084	69.2	0.593	123	282.9	284.2	68.6	0.474	10542	7146	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
87336	0	448	33.8	801.7	151.2	0.005	0.396	0.009	1.772	50993	70.3	0.584	121	282.8	284.2	68.7	0.562	10888	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
87146	0	452	33.8	795.2	149.4	0.005	0.398	0.009	1.755	51246	69.9	0.588	120	283.0	284.4	61.6	0.396	10838	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
85025	0	434	32.7	778.0	150.0	0.005	0.394	0.009	1.807	50612	68.8	0.595	121	282.9	284.3	61.0	0.391	10688	7142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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
790	31457	1524	14.1	26.7	4.3	0.048	0.459	0.034	5.534	126345	53.1	4.016	253	281.5	283.2	68.8	0.039	3964	1902	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
790	31647	1592	15.0	29.5	4.6	0.050	0.487	0.037	5.953	127384	53.3	4.025	253	281.5	283.2	69.4	0.058	4381	2142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
790	31748	1436	13.6	27.5	4.2	0.045	0.439	0.035	5.436	127881	53.1	4.028	251	281.6	283.3	69.4	0.053	4012	1902	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
790	31673	1540	15.0	29.6	4.9	0.049	0.486	0.037	6.361	127419	52.9	4.023	251	281.4	283.2	69.8	0.056	4171	1758	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
789	31226	1969	19.8	33.2	5.1	0.063	0.650	0.042	6.601	126743	53.1	4.059	255	281.5	283.2	89.2	0.034	4171	1918	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
789	31374	1958	18.6	26.8	4.0	0.062	0.605	0.034	5.130	126896	52.6	4.045	251	281.5	283.2	89.0	0.032	4235	2063	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
791	31947	1664	16.4	28.2	4.3	0.052	0.527	0.036	5.507	128499	53.2	4.022	250	281.5	283.2	76.8	0.095	4203	2015	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
788	31797	1580	15.4	29.0	4.6	0.050	0.497	0.037	5.999	127919	53.0	4.023	250	281.5	283.2	77.8	0.055	4125	2142	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
789	31281	1483	14.1	27.3	4.0	0.047	0.461	0.035	5.175	125929	53.0	4.026	254	281.5	283.2	69.1	0.052	3949	1902	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
790	31176	1530	14.5	29.0	4.2	0.049	0.476	0.037	5.476	125826	53.1	4.036	255	281.5	283.2	70.2	0.075	4045	1887	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
791	31101	1540	14.6	30.6	4.3	0.050	0.480	0.039	5.539	125091	53.2	4.022	257	281.5	283.2	69.2	0.045	3965	2078	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
791	32258	1485	13.9	27.9	4.4	0.046	0.441	0.035	5.643	128747	53.2	3.991	247	281.4	283.1	69.4	0.051	4235	2126	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
789	32457	1320	12.5	27.1	3.4	0.041	0.395	0.034	4.374	129621	53.1	3.994	245	281.5	283.2	61.7	0.055	4139	2254	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
789	31581	1365	13.2	28.7	4.2	0.043	0.429	0.036	5.404	127074	53.4	4.024	254	281.5	283.2	65.2	0.083	4171	2110	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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
3958	31796	81	2.4	48.0	8.8	0.003	0.077	0.012	2.266	126492	56.5	3.978	267	281.5	282.8	66.2	0.118	3884	3260	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
3958	32086	69	2.2	46.3	8.7	0.002	0.071	0.012	2.248	127872	56.5	3.985	264	281.6	282.8	66.5	0.036	4251	3502	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
3958	31262	86	2.2	48.5	8.9	0.003	0.072	0.012	2.300	124705	56.7	3.989	272	281.5	282.8	66.0	0.058	3964	3214	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
3960	32246	81	2.2	49.3	10.0	0.003	0.069	0.012	2.580	128559	56.5	3.987	263	281.4	282.7	65.9	0.066	4076	3438	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
3947	32182	122	4.3	45.8	7.3	0.004	0.137	0.012	1.892	128133	56.0	3.981	261	281.6	282.8	86.0	0.027	4139	3260	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
3947	31972	140	4.9	52.9	7.9	0.004	0.158	0.013	2.037	127557	56.6	3.990	266	281.4	282.6	87.3	0.042	4076	3117	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
3958	32547	100	2.6	48.1	8.8	0.003	0.081	0.012	2.277	129686	56.6	3.985	261	281.5	282.7	67.6	0.061	4044	3356	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
3950	32278	62	2.0	45.5	9.5	0.002	0.063	0.012	2.465	128406	56.2	3.978	261	281.6	282.9	73.3	0.046	3980	3101	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
3952	31922	84	2.3	48.9	9.0	0.003	0.073	0.012	2.343	127449	56.4	3.993	265	281.5	282.7	64.5	0.029	4045	3356	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
3958	31701	74	2.2	47.5	8.8	0.002	0.071	0.012	2.282	126385	56.2	3.987	266	281.6	282.8	64.4	0.087	3917	3228	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
3962	31648	86	2.1	47.9	8.1	0.003	0.068	0.012	2.084	126226	56.5	3.988	268	281.6	282.8	64.7	0.096	3836	3260	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
3965	32533	63	2.5	48.2	8.4	0.002	0.079	0.012	2.170	128638	56.4	3.954	260	281.6	282.8	65.4	0.020	4092	3294	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
3956	33063	72	2.1	47.4	7.9	0.002	0.064	0.012	2.038	130586	56.2	3.950	255	281.6	282.8	62.5	0.018	4108	3470	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
3954	31763	84	2.4	49.8	8.4	0.003	0.079	0.013	2.182	126945	56.4	3.997	266	281.4	282.6	63.3	0.024	4028	3340	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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
7934	30424	167	4.4	93.9	15.6	0.005	0.149	0.012	2.010	122509	59.7	4.027	294	281.5	281.9	66.8	0.487	3820	3133	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
7930	30174	157	4.8	94.6	16.0	0.005	0.163	0.012	2.062	121765	59.8	4.035	297	281.6	282.0	67.6	0.057	3932	3212	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
7930	30682	197	4.8	94.8	16.2	0.006	0.160	0.012	2.093	123697	59.9	4.032	293	281.7	282.0	67.5	0.040	3884	3149	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
7934	30931	159	4.8	93.6	16.3	0.005	0.160	0.012	2.105	123785	59.6	4.002	289	281.5	281.8	67.6	0.031	3916	3198	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
7930	30838	147	5.0	97.9	15.5	0.005	0.165	0.012	2.002	123776	60.0	4.014	292	281.9	282.2	86.3	0.054	3996	3101	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
7930	30736	143	4.9	93.2	16.3	0.005	0.164	0.012	2.107	123903	59.8	4.031	292	281.5	281.8	87.7	0.101	3900	3005	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
7934	30866	163	5.0	95.4	17.2	0.005	0.167	0.012	2.225	125008	60.0	4.050	292	281.5	281.8	66.4	0.033	3852	3117	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
7921	30776	169	5.2	98.2	17.2	0.006	0.172	0.012	2.227	123986	60.0	4.029	292	281.6	281.9	70.4	0.053	3820	3085	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
7930	30799	146	3.9	95.7	16.1	0.005	0.130	0.012	2.077	124201	59.8	4.033	291	281.8	282.1	63.4	0.062	3916	3164	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
7925	30628	154	4.4	93.2	16.2	0.005	0.146	0.012	2.089	123108	59.7	4.019	292	281.5	281.9	63.1	0.044	3852	3101	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
7934	30007	169	4.7	94.4	16.0	0.006	0.160	0.012	2.062	122021	59.9	4.066	299	281.6	281.9	63.2	0.061	3756	3022	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
7938	31100	182	4.2	93.6	15.9	0.006	0.137	0.012	2.057	124315	60.0	3.997	289	281.4	281.8	63.3	0.086	3868	3134	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
7930	31453	165	4.4	95.2	15.2	0.005	0.144	0.012	1.964	125790	59.9	3.999	286	281.5	281.9	62.8	0.078	3980	3196	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
7930	30527	151	4.0	92.0	15.0	0.005	0.134	0.012	1.942	123322	59.7	4.040	293	281.6	281.9	63.3	0.069	3884	3182	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

l.i0

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	5.960	93.791	0.217	0.014	0.017	0.001	nonzero	0.000	0.000	1.226	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	6.600	93.162	0.208	0.012	0.017	0.001	0.000	0.000	0.000	0.697	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	6.938	92.819	0.211	0.014	0.017	0.001	0.000	0.000	0.000	0.791	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	6.968	92.859	0.142	0.012	0.017	0.001	0.000	0.000	0.000	0.580	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	7.793	92.048	0.131	0.010	0.017	0.001	0.000	0.000	0.000	0.394	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	7.143	92.694	0.136	0.010	0.017	0.001	0.000	0.000	0.000	0.578	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	6.845	92.990	0.137	0.010	0.017	0.001	0.000	0.000	0.000	0.408	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	7.296	92.535	0.141	0.010	0.017	0.001	0.000	0.000	0.000	0.395	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	7.384	92.457	0.133	0.009	0.016	0.001	0.000	0.000	0.000	0.388	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	7.091	92.749	0.135	0.009	0.016	0.001	0.000	0.000	0.000	0.436	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	7.444	92.386	0.140	0.011	0.017	0.001	nonzero	0.000	0.000	1.183	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	7.728	92.107	0.138	0.011	0.016	0.001	0.000	0.000	0.000	0.556	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	7.469	92.369	0.134	0.011	0.017	0.001	0.000	0.000	0.000	0.369	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	7.387	92.445	0.139	0.010	0.017	0.001	0.000	0.000	0.000	0.426	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

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	0.008	35.285	64.510	0.173	0.021	0.003	nonzero	0.000	0.000	2.841	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	0.008	37.875	61.930	0.161	0.022	0.003	nonzero	0.000	0.000	2.180	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	0.010	37.490	62.316	0.160	0.021	0.003	0.000	nonzero	0.000	7.727	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	0.012	37.997	61.829	0.145	0.016	0.002	0.000	0.000	0.000	0.492	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	0.023	41.713	58.095	0.150	0.017	0.002	0.000	0.000	0.000	0.400	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	0.012	39.233	60.576	0.161	0.016	0.002	0.000	0.000	0.000	0.476	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	0.010	37.120	62.710	0.143	0.016	0.002	0.000	0.000	0.000	0.402	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	0.010	39.210	60.616	0.146	0.016	0.002	nonzero	0.000	0.000	1.369	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	0.010	37.841	61.996	0.137	0.015	0.002	0.000	0.000	0.000	0.610	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	0.009	37.029	62.809	0.136	0.015	0.002	0.000	0.000	0.000	0.423	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	0.007	35.805	64.031	0.140	0.015	0.002	0.000	0.000	0.000	0.474	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	0.014	42.360	57.470	0.137	0.017	0.002	0.000	0.000	0.000	0.562	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	0.016	42.212	57.620	0.134	0.016	0.002	0.000	0.000	0.000	0.396	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	0.011	37.101	62.735	0.136	0.016	0.001	0.000	0.000	0.000	0.391	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.013	32.205	67.402	0.340	0.036	0.003	nonzero	0.000	0.000	3.281	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	0.013	34.053	65.579	0.316	0.035	0.004	nonzero	0.000	0.000	2.180	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	0.016	34.340	65.286	0.321	0.034	0.003	0.000	nonzero	0.000	8.184	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	0.019	34.329	65.312	0.309	0.029	0.002	0.000	0.000	0.000	0.493	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	0.023	38.342	61.314	0.292	0.028	0.002	0.000	0.000	0.000	0.401	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	0.023	36.081	63.551	0.313	0.030	0.002	0.000	0.000	0.000	0.480	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	0.019	33.944	65.704	0.302	0.028	0.002	0.000	0.000	0.000	0.400	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	0.016	35.942	63.713	0.298	0.028	0.002	nonzero	0.000	0.000	1.356	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	0.017	34.516	65.137	0.299	0.028	0.002	0.000	0.000	0.000	0.615	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	0.012	33.985	65.684	0.290	0.028	0.002	0.000	0.000	0.000	0.426	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	0.016	32.863	66.798	0.293	0.028	0.002	0.000	0.000	0.000	0.545	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	0.029	38.825	60.841	0.274	0.029	0.002	0.000	0.000	0.000	0.619	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	0.028	38.451	61.200	0.289	0.029	0.002	0.000	0.000	0.000	0.401	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	0.021	34.194	65.468	0.287	0.028	0.002	0.000	0.000	0.000	0.386	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

q100.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
73.585	26.050	0.363	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.039	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
74.982	24.670	0.347	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.058	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
75.238	24.486	0.275	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.053	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
75.587	24.018	0.393	0.002	nonzero	0.000	0.000	0.000	0.000	0.000	0.056	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
73.530	25.963	0.506	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.034	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
74.219	25.282	0.497	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.032	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
76.013	23.630	0.355	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.095	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
75.817	23.796	0.386	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
73.602	26.032	0.364	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.052	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
72.856	26.782	0.361	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.075	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
72.867	26.750	0.381	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.045	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
75.801	23.922	0.276	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.051	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
77.096	22.670	0.233	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
74.278	25.476	0.244	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.083	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.236	99.722	0.017	0.024	0.000	0.000	0.000	0.000	0.000	0.038	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	1.556	98.420	0.021	0.003	0.000	0.000	0.000	0.000	0.000	0.016	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	0.882	99.104	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.015	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	3.139	96.854	0.003	0.003	0.000	0.000	0.000	0.000	0.000	0.022	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	2.024	97.944	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.010	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	0.844	99.125	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.010	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	3.410	96.576	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	1.278	98.719	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.005	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	1.562	98.438	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	2.628	97.361	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.008	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	2.115	97.840	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	3.469	96.524	0.007	0.000	0.000	0.000	0.000	0.000	0.000	0.005	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	4.424	95.566	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	0.521	99.333	0.132	0.014	0.000	0.000	0.000	0.000	0.000	0.020	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	2.438	97.507	0.031	0.024	0.000	0.000	0.000	0.000	0.000	0.039	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	1.920	98.042	0.024	0.014	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	5.531	94.438	0.028	0.003	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	4.983	94.986	0.028	0.003	0.000	0.000	0.000	0.000	0.000	0.025	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	4.424	95.524	0.052	0.000	0.000	0.000	0.000	0.000	0.000	0.014	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	5.448	94.528	0.024	0.000	0.000	0.000	0.000	0.000	0.000	0.014	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	5.069	94.889	0.038	0.003	0.000	0.000	0.000	0.000	0.000	0.024	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	6.747	93.247	0.007	0.000	0.000	0.000	0.000	0.000	0.000	0.005	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	5.177	94.809	0.007	0.007	0.000	0.000	0.000	0.000	0.000	0.032	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	6.250	93.733	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.008	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	7.660	92.306	0.035	0.000	0.000	0.000	0.000	0.000	0.000	0.011	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	9.149	90.837	0.010	0.003	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	6.806	93.181	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	3.733	96.108	0.149	0.010	0.000	0.000	0.000	0.000	0.000	0.053	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

q500.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
71.797	28.191	0.012	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.118	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
73.301	26.690	0.010	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.036	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
67.866	32.122	0.012	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.058	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
73.660	26.330	0.009	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.066	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
73.205	26.785	0.009	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.027	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
72.195	27.795	0.010	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.042	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
74.835	25.156	0.009	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.061	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
74.096	25.893	0.010	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.046	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
72.397	27.592	0.010	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.029	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
71.037	28.953	0.009	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.087	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
70.768	29.219	0.013	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.096	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
73.837	26.154	0.008	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.020	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
76.116	23.875	0.008	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
71.209	28.780	0.010	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.024	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	1.740	96.647	1.597	0.015	0.001	0.000	0.000	0.000	0.000	0.113	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	6.016	93.940	0.041	0.003	0.000	0.000	0.000	0.000	0.000	0.030	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	2.181	95.828	1.984	0.008	0.000	0.000	0.000	0.000	0.000	0.029	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	4.596	95.299	0.104	0.001	0.000	0.000	0.000	0.000	0.000	0.039	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	5.605	93.915	0.469	0.011	0.000	0.000	0.000	0.000	0.000	0.042	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	5.049	94.654	0.293	0.004	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	5.502	94.378	0.117	0.002	0.000	0.000	0.000	0.000	0.000	0.027	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	4.395	94.866	0.737	0.002	0.000	0.000	0.000	0.000	0.000	0.021	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	2.778	97.063	0.153	0.005	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	4.992	94.859	0.149	0.001	0.000	0.000	0.000	0.000	0.000	0.020	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	2.079	95.712	2.206	0.003	0.000	0.000	0.000	0.000	0.000	0.022	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	14.689	85.285	0.022	0.001	0.002	0.000	0.000	0.000	0.000	0.094	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	7.261	92.618	0.120	0.001	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	2.763	97.017	0.218	0.002	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	8.492	89.988	1.497	0.022	0.001	0.000	0.000	0.000	0.000	0.113	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	12.689	87.237	0.067	0.008	0.000	0.000	0.000	0.000	0.000	0.032	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	8.558	89.548	1.879	0.015	0.000	0.000	0.000	0.000	0.000	0.037	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	13.744	86.113	0.136	0.006	0.000	0.000	0.000	0.000	0.000	0.042	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	16.991	82.536	0.458	0.015	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	16.662	83.036	0.290	0.011	0.000	0.000	0.000	0.000	0.000	0.038	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	15.737	84.144	0.115	0.004	0.000	0.000	0.000	0.000	0.000	0.034	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	12.858	86.451	0.685	0.006	0.000	0.000	0.000	0.000	0.000	0.025	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	12.017	87.831	0.144	0.008	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	16.519	83.344	0.133	0.004	0.000	0.000	0.000	0.000	0.000	0.040	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	8.415	89.613	1.966	0.006	0.000	0.000	0.000	0.000	0.000	0.033	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	25.165	74.801	0.027	0.005	0.002	0.000	0.000	0.000	0.000	0.096	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	16.816	83.072	0.109	0.002	0.001	0.000	0.000	0.000	0.000	0.065	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	10.615	89.163	0.218	0.003	0.000	0.000	0.000	0.000	0.000	0.033	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

q1000.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
64.622	35.357	0.020	nonzero	nonzero	0.000	nonzero	0.000	0.000	0.000	0.487	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
62.166	37.814	0.020	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.057	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
65.715	34.258	0.026	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.040	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
67.297	32.664	0.038	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.031	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
66.298	33.673	0.029	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.054	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
65.698	34.276	0.025	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.101	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
66.332	33.650	0.018	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.033	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
66.073	33.904	0.022	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.053	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
66.347	33.629	0.024	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.062	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
65.614	34.356	0.029	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.044	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
61.820	38.158	0.021	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.061	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
67.294	32.676	0.029	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.086	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
68.915	31.066	0.019	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.078	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
64.378	35.599	0.022	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.069	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	3.012	96.661	0.319	0.007	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	1.597	98.244	0.154	0.004	0.000	0.000	0.000	0.000	0.000	0.023	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	2.168	93.827	3.986	0.019	0.000	0.000	0.000	0.000	0.000	0.029	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	0.931	72.762	26.264	0.043	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	2.082	92.298	5.603	0.018	0.000	0.000	0.000	0.000	0.000	0.031	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	3.514	93.527	2.940	0.019	0.000	0.000	0.000	0.000	0.000	0.027	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	4.476	95.301	0.222	0.001	0.000	0.000	0.000	0.000	0.000	0.025	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	2.035	96.598	1.360	0.008	0.000	0.000	0.000	0.000	0.000	0.046	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	3.367	94.482	2.143	0.008	nonzero	0.000	0.000	0.000	0.000	0.068	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	1.621	91.326	7.037	0.016	0.000	0.000	0.000	0.000	0.000	0.052	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	2.330	97.200	0.467	0.002	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	4.212	87.434	8.330	0.024	0.000	0.000	0.000	0.000	0.000	0.036	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	4.223	94.752	1.018	0.007	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	1.640	96.435	1.906	0.018	0.000	0.000	0.000	0.000	0.000	0.029	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	12.233	87.386	0.358	0.022	0.001	0.000	0.000	0.000	0.000	0.118	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j404_gcp_c2s30
0.000	8.757	91.040	0.189	0.014	0.001	0.000	0.000	0.000	0.000	0.099	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j411_gcp_c2s30
0.000	8.105	88.026	3.842	0.027	0.000	0.000	0.000	0.000	0.000	0.059	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j421_gcp_c2s30
0.000	4.457	70.152	25.336	0.055	0.000	0.000	0.000	0.000	0.000	0.053	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j431_gcp_c2s30
0.000	7.147	87.627	5.193	0.032	nonzero	0.000	0.000	0.000	0.000	0.069	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j440_gcp_c2s30
0.000	11.056	86.049	2.863	0.033	0.000	0.000	0.000	0.000	0.000	0.052	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j450_gcp_c2s30
0.000	12.615	87.130	0.245	0.010	0.000	0.000	0.000	0.000	0.000	0.041	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j501_gcp_c2s30
0.000	8.844	89.817	1.326	0.013	0.000	0.000	0.000	0.000	0.000	0.054	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j510_gcp_c2s30
0.000	10.797	87.183	2.009	0.011	nonzero	0.000	0.000	0.000	0.000	0.069	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j520_gcp_c2s30
0.000	7.130	86.284	6.562	0.024	0.000	0.000	0.000	0.000	0.000	0.052	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521_gcp_c2s30
0.000	9.808	89.717	0.467	0.007	0.000	0.000	0.000	0.000	0.000	0.035	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5o_gcp_c2s30
0.000	9.369	82.710	7.889	0.031	0.000	0.000	0.000	0.000	0.000	0.047	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prof_gcp_c2s30
0.000	11.966	87.024	0.997	0.013	0.000	0.000	0.000	0.000	0.000	0.046	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j521prod_gcp_c2s30
0.000	8.100	90.092	1.787	0.020	0.000	0.000	0.000	0.000	0.000	0.035	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5j530_gcp_c2s30