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.cy9c7j404_gcp_c2s30 54689661777681900328853282132257
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30 56046069253886702331983326032399
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30 55936268448086468328853262231951
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30 55725867285186815331923350032006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30 56457367752487499321673297931684
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30 56069566391787260329293345332290
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30 56006767786886834321703300031625
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30 55795867048386608321583278831374
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30 56235167455386272319313258831420
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30 56156163493685754312463183330543
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30 57298462055585443334233401832674
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30 56585164905186627318103223130926
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30 56489262355486787321203265931181
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30 56038166701786966325533278531163

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.cy9c7j404_gcp_c2s30 1.001.001.001.001.001.00
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30 1.021.121.061.011.011.00
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30 1.021.111.061.000.990.99
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30 1.021.091.061.011.020.99
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30 1.031.101.070.981.000.98
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30 1.031.071.071.001.021.00
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30 1.021.101.060.981.010.98
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30 1.021.091.060.981.000.97
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30 1.031.091.050.970.990.97
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30 1.031.031.050.950.970.95
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30 1.051.001.041.021.041.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30 1.031.051.060.970.980.96
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30 1.031.011.060.981.000.97
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30 1.021.081.060.991.000.97

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.cy9c7j404_gcp_c2s3078939547930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s3079139627934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s3079039607934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s3079039607934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s3079239547934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s3078939417925
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s3078939547934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s3079039567934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s3079039587934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s3078939567934
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s3078939587930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s3079039567930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s3079039567930
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s3079039607934
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.cy9c7j404_gcp_c2s305.92893.8240.2180.0120.0170.0010.593
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s307.47692.2920.2030.0110.0170.0010.576
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s307.09792.6790.1970.0100.0160.0010.503
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s306.58693.2520.1350.0100.0170.0010.469
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s307.70992.1340.1310.0100.0160.0010.380
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s307.18292.6610.1290.0110.0170.001nonzero1.603
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s306.59793.2280.1450.0120.0160.0010.966
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s306.76093.0790.1340.0100.0170.0010.519
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s307.15992.6680.1450.0110.0160.0010.552
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s307.71592.1160.1410.0100.0170.0010.467
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s307.24492.5850.1450.0090.0170.0010.485
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s307.78192.0530.1390.0100.0160.0010.860
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s307.75292.0850.1350.0110.0170.0010.875
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s306.96392.8710.1390.0100.0160.0010.380

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
546896	0	0	0.0	571.7	119.1	0.000	0.000	0.001	0.223	65001	73.5	0.119	20	125.4	125.6	28.4	0.593	69823	48235	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
560460	0	0	0.0	590.5	120.9	0.000	0.000	0.001	0.221	66505	73.1	0.119	20	125.2	125.4	28.0	0.576	71150	50046	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
559362	0	0	0.0	583.0	119.7	0.000	0.000	0.001	0.219	65943	73.4	0.118	20	125.2	125.5	27.6	0.503	71822	50745	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
557258	0	0	0.0	575.7	125.4	0.000	0.000	0.001	0.230	65243	74.0	0.117	20	124.9	126.8	27.6	0.469	71224	50565	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
564573	0	0	0.0	568.6	132.3	0.000	0.000	0.001	0.240	66171	73.9	0.117	20	125.2	127.1	27.7	0.380	72122	50345	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
560695	0	0	0.0	566.6	132.6	0.000	0.000	0.001	0.242	65971	73.4	0.118	20	124.8	125.0	27.7	1.603	71322	49345	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
560067	0	0	0.0	571.6	130.4	0.000	0.000	0.001	0.238	65573	73.9	0.117	20	125.0	125.2	26.5	0.966	71422	48363	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
557958	0	0	0.0	572.0	127.9	0.000	0.000	0.001	0.235	65467	73.5	0.117	20	125.3	125.5	27.0	0.519	71048	50046	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
562351	0	0	0.0	578.2	130.0	0.000	0.000	0.001	0.237	66001	74.2	0.117	20	124.8	125.1	26.6	0.552	71623	49546	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
561561	0	0	0.0	571.2	128.1	0.000	0.000	0.001	0.234	66288	73.7	0.118	20	124.1	126.0	25.9	0.467	71277	49447	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
572984	0	0	0.0	587.0	134.8	0.000	0.000	0.001	0.241	66709	74.6	0.116	20	125.0	126.9	27.4	0.485	73046	51543	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
565851	0	0	0.0	577.9	130.6	0.000	0.000	0.001	0.236	66404	73.9	0.117	20	125.0	126.9	26.3	0.860	71847	50545	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
564892	0	0	0.0	581.5	129.1	0.000	0.000	0.001	0.234	66512	73.8	0.118	20	125.0	125.3	26.6	0.875	71822	50251	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
560381	0	0	0.0	573.9	131.0	0.000	0.000	0.001	0.239	65534	74.0	0.117	20	125.2	127.1	26.4	0.380	71522	49944	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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
617776	0	446	85.1	231.7	72.0	0.001	0.141	0.000	0.119	1741	50.5	0.003	12	257.8	258.0	66.9	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
692538	0	499	95.3	259.7	81.4	0.001	0.141	0.000	0.120	2162	50.2	0.003	11	257.5	257.7	66.3	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
684480	0	504	95.5	256.2	81.6	0.001	0.143	0.000	0.122	2120	50.0	0.003	11	257.6	257.8	66.5	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
672851	0	488	92.6	253.5	77.1	0.001	0.141	0.000	0.117	2100	50.1	0.003	11	257.3	257.5	66.2	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
677524	0	500	93.9	256.1	77.4	0.001	0.142	0.000	0.117	2089	50.3	0.003	11	257.6	257.8	66.1	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
663917	0	486	91.0	248.5	76.1	0.001	0.140	0.000	0.117	2025	50.1	0.003	11	257.2	257.4	66.1	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
677868	0	504	94.2	254.8	77.0	0.001	0.142	0.000	0.116	2100	50.1	0.003	11	257.3	257.5	70.8	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
670483	0	504	94.4	251.5	76.4	0.001	0.144	0.000	0.117	2075	49.9	0.003	11	257.7	257.9	71.7	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
674553	0	504	93.9	252.1	76.6	0.001	0.143	0.000	0.116	2110	50.4	0.003	11	257.2	257.4	69.8	0.004	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
634936	0	474	88.3	238.4	72.7	0.001	0.142	0.000	0.117	1886	50.2	0.003	12	256.5	258.4	70.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
620555	0	675	119.8	240.2	65.2	0.001	0.198	0.000	0.108	1901	50.0	0.003	12	257.4	259.3	93.1	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
649051	0	473	89.8	244.9	73.4	0.001	0.142	0.000	0.116	1995	49.7	0.003	11	257.4	257.6	70.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
623554	0	467	85.8	236.8	69.9	0.001	0.141	0.000	0.115	1847	50.2	0.003	12	257.4	257.6	63.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
667017	0	484	92.1	253.0	76.4	0.001	0.141	0.000	0.117	2058	50.2	0.003	11	257.5	257.7	62.6	0.086	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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.cy9c7j404_gcp_c2s300.02231.93467.8640.1620.0160.0010.473
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s300.01942.00957.8020.1490.0190.0020.427
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s300.01341.37758.4420.1460.0200.0020.496
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s300.00941.20858.6240.1410.0150.0020.507
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s300.03743.10056.6870.1570.0150.002nonzero2.172
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s300.01442.29357.5250.1520.0150.0020.529
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s300.01141.41758.4060.1460.0180.002nonzero1.130
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s300.00941.15758.6720.1430.0160.0020.637
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s300.02040.27259.5510.1400.0160.0020.544
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s300.01139.91559.9210.1340.0160.0020.650
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s300.02938.65061.1560.1450.0160.003nonzero17.999
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s300.01440.51059.3320.1280.0150.0020.967
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s300.01241.34158.4970.1320.0160.0020.495
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s300.01340.81159.0230.1350.0160.0020.575

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.cy9c7j404_gcp_c2s300.02028.96770.6660.3170.0290.0020.472
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s300.02838.06661.5510.3210.0320.0020.470
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s300.02137.85361.7830.3070.0330.0030.544
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s300.01938.01161.6410.2990.0260.0020.502
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s300.03539.78559.8450.3060.0270.003nonzero2.324
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s300.03339.06760.5620.3110.0260.0020.530
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s300.02538.48961.1610.2930.0310.002nonzero1.167
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s300.02137.95261.6880.3060.0290.0020.683
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s300.02036.76762.9010.2830.0270.0020.592
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s300.01635.91863.7430.2920.0290.0030.648
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s300.03935.55964.0650.3060.0290.003nonzerononzero17.999
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s300.02537.21662.4480.2810.0280.0020.966
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s300.01937.56262.1090.2800.0280.0020.882
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s300.02438.23861.4340.2740.0280.0030.744

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
81900	0	434	36.6	756.4	138.8	0.005	0.457	0.009	1.736	48345	69.3	0.590	127	283.2	284.6	69.4	0.473	10239	6991	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
86702	0	470	38.5	796.6	147.9	0.005	0.455	0.009	1.747	50641	69.7	0.584	121	284.1	285.5	69.0	0.427	10788	7340	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
86468	0	465	39.2	799.4	148.6	0.005	0.464	0.009	1.759	50399	70.2	0.583	122	283.2	284.6	69.5	0.496	10788	7395	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
86815	0	458	39.5	785.1	155.8	0.005	0.465	0.009	1.838	50029	70.9	0.576	123	284.3	285.7	69.9	0.507	10792	7495	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
87499	0	478	40.8	798.1	156.2	0.005	0.477	0.009	1.828	50456	71.0	0.577	122	283.3	284.7	77.6	2.172	10893	7492	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
87260	0	480	41.3	793.6	155.6	0.005	0.484	0.009	1.826	51018	69.9	0.585	120	283.0	284.4	78.2	0.529	10895	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
86834	0	450	34.1	796.3	153.9	0.005	0.402	0.009	1.815	50573	70.4	0.582	122	282.9	284.3	71.3	1.130	10838	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
86608	0	452	33.9	791.0	152.5	0.005	0.401	0.009	1.803	50874	69.9	0.587	121	282.9	284.3	71.8	0.637	10792	7342	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
86272	0	444	33.4	786.0	149.5	0.005	0.396	0.009	1.775	49796	70.7	0.577	123	282.8	284.2	68.5	0.544	10788	7345	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
85754	0	443	33.5	784.7	148.7	0.005	0.400	0.009	1.775	50651	69.7	0.591	122	283.2	284.6	68.8	0.650	10738	7193	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
85443	0	436	33.1	794.5	145.4	0.005	0.397	0.009	1.742	48196	68.2	0.564	120	282.9	284.3	91.8	17.999	10742	6845	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
86627	0	460	34.0	800.3	150.1	0.005	0.402	0.009	1.774	50955	69.8	0.588	121	282.6	284.0	68.7	0.967	10838	7342	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
86787	0	454	33.7	794.2	146.7	0.005	0.397	0.009	1.731	51191	69.7	0.590	120	285.1	286.5	61.6	0.495	10845	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
86966	0	447	33.6	797.6	152.6	0.005	0.396	0.009	1.797	51026	69.5	0.587	120	286.4	287.8	61.1	0.575	10888	7242	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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.cy9c7j404_gcp_c2s3078.52621.2210.2520.001nonzero0.055
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s3078.64121.1170.2400.001nonzero0.057
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s3078.59321.1450.2610.001nonzero0.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s3078.22621.4650.3080.001nonzero0.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s3075.46123.9550.5830.001nonzero0.041
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s3078.60821.0130.3770.001nonzero0.034
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s3076.02523.5830.3900.001nonzerononzero0.067
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s3075.45024.1670.3820.001nonzerononzero0.145
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s3075.51224.1710.3160.001nonzerononzero0.075
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s3074.05025.5360.4120.001nonzero0.054
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s3079.13720.4940.3680.001nonzerononzero0.080
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s3074.90424.7990.2960.001nonzero0.053
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s3075.52724.2240.2480.001nonzero0.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s3076.83022.8700.2990.001nonzero0.062

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.cy9c7j404_gcp_c2s305.19494.8020.0030.030
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s300.51099.4790.0100.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s300.97999.0140.0030.0030.027
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s303.56696.4240.0070.0030.017
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s307.58092.3960.0240.013
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s301.14698.8470.0070.004
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s300.61199.3820.0070.004
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s305.39994.5590.0170.0240.049
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s301.54598.4440.0070.0030.049
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s302.54597.4380.0170.016
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s303.01796.9720.0100.012
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s303.19496.8020.0030.004
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s302.19497.7880.0170.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s303.12596.5800.2780.0170.019

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.cy9c7j404_gcp_c2s307.83392.1320.0310.0030.031
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s305.17794.7880.0210.0100.0030.110
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s305.24394.7400.0100.0070.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s307.95192.0280.0140.0070.017
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s309.27890.6840.0310.0070.022
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s308.25791.7260.0140.0030.034
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s307.90392.0900.0070.015
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s3012.30987.6490.0170.0240.049
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s304.28195.6980.0140.0070.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s307.14292.8400.0100.0070.035
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s308.61191.3680.0210.012
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s308.24391.7430.0140.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s305.02894.9580.0140.012
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s306.32393.3850.2740.0170.019

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
789	32885	1498	14.4	30.1	4.7	0.046	0.449	0.038	6.138	130620	53.3	3.972	243	281.5	283.2	69.1	0.055	4365	2143	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
791	33198	1458	14.2	25.7	4.0	0.044	0.438	0.033	5.238	131672	52.9	3.966	239	281.5	283.2	69.0	0.057	4349	2286	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
790	32885	1508	14.5	29.1	4.6	0.046	0.453	0.037	5.907	131061	53.2	3.985	243	281.5	283.2	69.1	0.050	4349	2110	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
790	33192	1509	14.1	27.3	4.5	0.045	0.434	0.034	5.816	131936	53.0	3.975	240	281.6	283.3	69.9	0.050	4267	1982	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
792	32167	2046	20.5	29.4	4.1	0.064	0.653	0.037	5.258	129176	52.9	4.016	247	281.6	283.3	88.8	0.041	4139	1822	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
789	32929	1894	18.7	29.3	4.1	0.058	0.581	0.037	5.358	131817	52.8	4.003	241	281.4	283.2	89.4	0.034	4475	2222	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
789	32170	1664	16.0	30.0	4.4	0.052	0.508	0.038	5.725	129059	53.2	4.012	248	281.7	283.4	76.2	0.067	4203	1598	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
790	32158	1641	15.9	30.5	4.6	0.051	0.507	0.039	5.918	128706	53.2	4.002	248	281.4	283.1	75.2	0.145	4139	2078	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
790	31931	1514	14.4	29.9	4.5	0.047	0.463	0.038	5.808	128318	53.4	4.019	251	281.6	283.3	69.4	0.075	4108	2063	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
789	31246	1502	14.4	29.2	4.2	0.048	0.473	0.037	5.406	125578	52.7	4.019	253	281.5	283.2	69.4	0.054	4171	2094	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
789	33423	1487	14.3	26.8	3.8	0.045	0.437	0.034	4.974	130833	52.8	3.914	237	281.5	283.1	71.3	0.080	4525	2285	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
790	31810	1456	14.1	29.5	4.4	0.046	0.454	0.037	5.694	127534	53.1	4.009	250	281.5	283.2	69.8	0.053	4203	2031	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
790	32120	1378	13.4	29.4	3.9	0.043	0.427	0.037	5.069	128661	53.3	4.006	249	281.4	283.1	61.6	0.050	4219	2254	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
790	32553	1466	14.2	31.5	4.4	0.045	0.446	0.040	5.725	130075	53.3	3.996	246	281.5	283.2	65.0	0.062	4219	2094	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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.cy9c7j404_gcp_c2s3075.14824.8420.010nonzerononzero0.055
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s3075.51124.4750.013nonzerononzerononzerononzero0.482
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s3074.33025.6580.012nonzerononzero0.063
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s3076.76923.2210.009nonzero0.016
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s3074.60225.3870.010nonzerononzero0.038
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s3077.40522.5830.012nonzerononzerononzero0.066
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s3075.76924.2200.011nonzerononzero0.041
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s3074.90125.0890.009nonzerononzero0.041
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s3074.61925.3710.009nonzerononzero0.058
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s3071.90128.0840.015nonzerononzero0.026
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s3077.87822.1100.012nonzerononzero0.029
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s3072.97527.0140.011nonzerononzero0.058
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s3074.60625.3860.008nonzerononzero0.025
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s3074.97125.0170.012nonzerononzero0.026

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.cy9c7j404_gcp_c2s306.15793.7650.0760.0020.018
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s304.02392.0193.9430.0100.0050.520
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s302.71094.6162.6670.0070.024
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s306.69493.1530.1510.0010.017
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s3015.86583.9980.1340.0030.033
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s303.40594.6461.9420.0070.027
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s303.33896.1140.5480.0010.018
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s307.19492.6930.1100.0030.023
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s309.29890.6590.0420.0010.019
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s303.61092.4403.9420.0070.024
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s309.23090.1660.6010.0030.020
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s308.12891.4900.3790.0030.020
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s307.89792.0350.0650.0020.023
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s302.79092.8814.3150.0130.024

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.cy9c7j404_gcp_c2s3018.47281.4080.1030.0150.0010.188
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s3011.72884.6513.5970.0170.0060.624
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s306.99790.2712.7080.0240.042
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s3017.96881.8530.1730.0060.042
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s3026.23773.5840.1720.0070.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s3013.22484.9341.8250.0170.038
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s3013.08586.4160.4960.0030.031
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s3021.75478.1260.1150.0050.039
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s3019.88180.0630.0510.0060.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s308.67387.4133.9060.0080.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s3019.61879.8150.5620.0040.030
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s3017.68081.9420.3740.0030.029
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s3022.50677.4220.0700.0010.026
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s309.13587.0173.8390.0080.049

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
3954	32821	74	2.0	49.6	8.6	0.002	0.061	0.013	2.215	128418	56.4	3.913	258	281.5	282.8	66.1	0.055	4235	3468	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
3962	33260	87	2.0	46.3	8.3	0.003	0.061	0.012	2.149	130202	56.4	3.915	254	281.5	282.8	66.4	0.482	4235	3597	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
3960	32622	100	2.2	48.8	8.9	0.003	0.068	0.012	2.299	128176	56.5	3.929	260	281.5	282.8	66.5	0.063	4171	3436	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
3960	33500	70	2.5	49.7	9.2	0.002	0.076	0.013	2.389	131768	56.7	3.933	254	281.5	282.8	66.2	0.016	4219	3470	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
3954	32979	142	4.6	51.2	7.6	0.004	0.143	0.013	1.973	129880	56.7	3.938	258	281.6	282.8	87.0	0.038	4077	3181	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
3941	33453	128	4.5	49.8	7.4	0.004	0.138	0.013	1.917	131717	56.2	3.937	252	281.4	282.7	86.0	0.066	4315	3372	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
3954	33000	78	2.3	47.8	8.5	0.002	0.070	0.012	2.213	130366	56.3	3.951	256	281.6	282.8	69.5	0.041	4061	3340	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
3956	32788	86	2.2	45.6	8.1	0.003	0.070	0.012	2.098	129463	56.1	3.949	257	281.5	282.7	70.9	0.041	4092	3388	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
3958	32588	74	2.2	48.9	8.7	0.002	0.068	0.012	2.240	129457	56.5	3.973	260	281.6	282.9	64.1	0.058	3996	3228	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
3956	31833	79	2.2	48.1	8.8	0.002	0.072	0.012	2.281	126451	56.4	3.972	266	281.6	282.8	64.8	0.026	4060	3468	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
3958	34018	86	2.4	46.6	8.6	0.003	0.072	0.012	2.220	131025	56.6	3.852	250	281.4	282.6	64.9	0.029	4333	3581	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
3956	32231	72	2.1	49.2	8.5	0.002	0.068	0.012	2.196	127725	56.2	3.963	262	281.7	283.0	64.8	0.058	4077	3404	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
3956	32659	64	1.7	46.2	7.9	0.002	0.052	0.012	2.037	129738	56.2	3.972	258	281.5	282.7	62.4	0.025	4171	3452	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
3960	32785	86	2.1	48.3	7.9	0.003	0.064	0.012	2.038	129713	56.3	3.956	258	281.6	282.8	62.9	0.026	4123	3372	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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.cy9c7j404_gcp_c2s3072.10427.8670.029nonzerononzerononzero0.072
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s3072.22827.7530.019nonzerononzerononzero0.252
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s3070.99928.9830.017nonzerononzerononzero0.104
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s3070.91329.0620.025nonzerononzero0.037
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s3069.21730.7600.0230.001nonzerononzero0.080
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s3071.94728.0330.019nonzerononzerononzero0.077
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s3069.52430.4300.0450.001nonzero0.048
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s3068.39631.5850.018nonzerononzero0.031
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s3068.76031.2190.020nonzerononzerononzero0.073
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s3064.71535.2640.021nonzerononzero0.031
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s3072.49727.4820.020nonzerononzero0.053
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s3066.65333.3100.0360.001nonzero0.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s3067.42832.5530.019nonzerononzerononzero0.082
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s3068.01431.9560.0290.001nonzero0.059

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.cy9c7j404_gcp_c2s302.71683.18914.0600.0350.034
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s305.85993.2520.8800.0090.029
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s305.53194.3050.1590.005nonzero0.070
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s301.50392.0546.4250.0180.027
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s308.51589.8141.6570.0140.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s304.90593.8201.2720.0030.020
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s300.11858.04441.7670.0700.032
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s304.13295.6110.2560.0010.018
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s304.89994.6690.4280.0040.033
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s302.27497.3340.3870.0050.0010.109
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s304.51994.2591.2060.0160.035
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s302.66478.71718.6060.0140.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s302.63496.4010.9580.0070.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s302.60689.2148.1630.0170.026

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.cy9c7j404_gcp_c2s306.40780.06813.4690.0550.0010.124
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s3014.90684.1830.8900.0210.0010.113
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s3016.95082.8340.1940.0210.0010.100
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s305.43488.3936.1370.0360.042
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s3015.74882.6101.6110.031nonzero0.096
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s3018.27180.4991.2150.0150.035
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s300.95958.74740.2180.0760.0010.074
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s3016.37983.3370.2770.0070.045
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s3014.42885.1110.4510.0100.044
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s308.67590.9220.3940.0080.0010.109
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s3014.07584.7401.1640.0210.048
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s307.11675.46517.4020.0170.031
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s3010.90788.1530.9260.014nonzero0.069
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s309.55082.6387.7910.0220.046

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
7930	32257	177	4.9	93.5	15.1	0.005	0.155	0.012	1.945	126579	59.9	3.924	279	281.6	281.9	66.8	0.072	4141	3388	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
7934	32399	202	4.9	97.5	16.2	0.006	0.155	0.012	2.090	127787	59.9	3.944	277	281.5	281.9	67.0	0.252	4139	3420	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
7934	31951	201	5.4	93.9	16.5	0.006	0.174	0.012	2.126	127064	59.8	3.977	281	281.5	281.8	68.6	0.104	4044	3276	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
7934	32006	200	5.2	95.7	16.0	0.006	0.166	0.012	2.066	126191	60.0	3.943	281	281.6	281.9	68.3	0.037	4059	3308	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
7934	31684	150	5.0	93.5	15.4	0.005	0.162	0.012	1.992	126289	60.1	3.986	285	281.6	281.9	87.3	0.080	3901	3053	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
7925	32290	143	5.5	92.4	15.6	0.004	0.176	0.012	2.015	128404	59.8	3.977	278	281.5	281.9	86.1	0.077	4124	3212	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
7934	31625	165	4.7	90.9	16.7	0.005	0.151	0.011	2.158	125130	59.8	3.957	284	281.7	282.1	67.7	0.048	3964	3117	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
7934	31374	176	4.6	93.8	17.5	0.006	0.149	0.012	2.252	125464	59.9	3.999	286	281.6	282.0	71.0	0.031	3948	3118	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
7934	31420	170	4.6	95.5	16.5	0.005	0.150	0.012	2.126	126300	60.2	4.020	287	281.6	282.0	63.2	0.073	3884	3180	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
7934	30543	158	4.8	96.6	15.8	0.005	0.161	0.012	2.043	123252	59.9	4.035	294	281.5	281.8	63.7	0.031	3901	3212	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
7930	32674	167	4.3	97.1	16.3	0.005	0.134	0.012	2.104	125569	60.0	3.843	275	281.9	282.2	64.0	0.053	4123	3340	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
7930	30926	165	4.2	96.2	15.6	0.005	0.138	0.012	2.015	123423	59.8	3.991	290	281.6	281.9	63.5	0.050	3901	3149	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
7930	31181	168	4.6	97.1	15.0	0.005	0.152	0.012	1.935	124652	59.8	3.998	288	281.5	281.8	62.8	0.082	3997	3260	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
7934	31163	183	4.3	94.5	15.7	0.006	0.143	0.012	2.021	124568	59.6	3.997	287	281.6	281.9	63.1	0.059	3933	3182	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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
546896	0	0	0.0	571.7	119.1	0.000	0.000	0.001	0.223	65001	73.5	0.119	20	125.4	125.6	28.4	0.593	69823	48235	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
560460	0	0	0.0	590.5	120.9	0.000	0.000	0.001	0.221	66505	73.1	0.119	20	125.2	125.4	28.0	0.576	71150	50046	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
559362	0	0	0.0	583.0	119.7	0.000	0.000	0.001	0.219	65943	73.4	0.118	20	125.2	125.5	27.6	0.503	71822	50745	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
557258	0	0	0.0	575.7	125.4	0.000	0.000	0.001	0.230	65243	74.0	0.117	20	124.9	126.8	27.6	0.469	71224	50565	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
564573	0	0	0.0	568.6	132.3	0.000	0.000	0.001	0.240	66171	73.9	0.117	20	125.2	127.1	27.7	0.380	72122	50345	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
560695	0	0	0.0	566.6	132.6	0.000	0.000	0.001	0.242	65971	73.4	0.118	20	124.8	125.0	27.7	1.603	71322	49345	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
560067	0	0	0.0	571.6	130.4	0.000	0.000	0.001	0.238	65573	73.9	0.117	20	125.0	125.2	26.5	0.966	71422	48363	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
557958	0	0	0.0	572.0	127.9	0.000	0.000	0.001	0.235	65467	73.5	0.117	20	125.3	125.5	27.0	0.519	71048	50046	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
562351	0	0	0.0	578.2	130.0	0.000	0.000	0.001	0.237	66001	74.2	0.117	20	124.8	125.1	26.6	0.552	71623	49546	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
561561	0	0	0.0	571.2	128.1	0.000	0.000	0.001	0.234	66288	73.7	0.118	20	124.1	126.0	25.9	0.467	71277	49447	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
572984	0	0	0.0	587.0	134.8	0.000	0.000	0.001	0.241	66709	74.6	0.116	20	125.0	126.9	27.4	0.485	73046	51543	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
565851	0	0	0.0	577.9	130.6	0.000	0.000	0.001	0.236	66404	73.9	0.117	20	125.0	126.9	26.3	0.860	71847	50545	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
564892	0	0	0.0	581.5	129.1	0.000	0.000	0.001	0.234	66512	73.8	0.118	20	125.0	125.3	26.6	0.875	71822	50251	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
560381	0	0	0.0	573.9	131.0	0.000	0.000	0.001	0.239	65534	74.0	0.117	20	125.2	127.1	26.4	0.380	71522	49944	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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
617776	0	446	85.1	231.7	72.0	0.001	0.141	0.000	0.119	1741	50.5	0.003	12	257.8	258.0	66.9	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
692538	0	499	95.3	259.7	81.4	0.001	0.141	0.000	0.120	2162	50.2	0.003	11	257.5	257.7	66.3	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
684480	0	504	95.5	256.2	81.6	0.001	0.143	0.000	0.122	2120	50.0	0.003	11	257.6	257.8	66.5	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
672851	0	488	92.6	253.5	77.1	0.001	0.141	0.000	0.117	2100	50.1	0.003	11	257.3	257.5	66.2	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
677524	0	500	93.9	256.1	77.4	0.001	0.142	0.000	0.117	2089	50.3	0.003	11	257.6	257.8	66.1	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
663917	0	486	91.0	248.5	76.1	0.001	0.140	0.000	0.117	2025	50.1	0.003	11	257.2	257.4	66.1	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
677868	0	504	94.2	254.8	77.0	0.001	0.142	0.000	0.116	2100	50.1	0.003	11	257.3	257.5	70.8	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
670483	0	504	94.4	251.5	76.4	0.001	0.144	0.000	0.117	2075	49.9	0.003	11	257.7	257.9	71.7	0.003	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
674553	0	504	93.9	252.1	76.6	0.001	0.143	0.000	0.116	2110	50.4	0.003	11	257.2	257.4	69.8	0.004	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
634936	0	474	88.3	238.4	72.7	0.001	0.142	0.000	0.117	1886	50.2	0.003	12	256.5	258.4	70.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
620555	0	675	119.8	240.2	65.2	0.001	0.198	0.000	0.108	1901	50.0	0.003	12	257.4	259.3	93.1	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
649051	0	473	89.8	244.9	73.4	0.001	0.142	0.000	0.116	1995	49.7	0.003	11	257.4	257.6	70.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
623554	0	467	85.8	236.8	69.9	0.001	0.141	0.000	0.115	1847	50.2	0.003	12	257.4	257.6	63.0	0.002	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
667017	0	484	92.1	253.0	76.4	0.001	0.141	0.000	0.117	2058	50.2	0.003	11	257.5	257.7	62.6	0.086	NA	NA	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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
81900	0	434	36.6	756.4	138.8	0.005	0.457	0.009	1.736	48345	69.3	0.590	127	283.2	284.6	69.4	0.473	10239	6991	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
86702	0	470	38.5	796.6	147.9	0.005	0.455	0.009	1.747	50641	69.7	0.584	121	284.1	285.5	69.0	0.427	10788	7340	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
86468	0	465	39.2	799.4	148.6	0.005	0.464	0.009	1.759	50399	70.2	0.583	122	283.2	284.6	69.5	0.496	10788	7395	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
86815	0	458	39.5	785.1	155.8	0.005	0.465	0.009	1.838	50029	70.9	0.576	123	284.3	285.7	69.9	0.507	10792	7495	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
87499	0	478	40.8	798.1	156.2	0.005	0.477	0.009	1.828	50456	71.0	0.577	122	283.3	284.7	77.6	2.172	10893	7492	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
87260	0	480	41.3	793.6	155.6	0.005	0.484	0.009	1.826	51018	69.9	0.585	120	283.0	284.4	78.2	0.529	10895	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
86834	0	450	34.1	796.3	153.9	0.005	0.402	0.009	1.815	50573	70.4	0.582	122	282.9	284.3	71.3	1.130	10838	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
86608	0	452	33.9	791.0	152.5	0.005	0.401	0.009	1.803	50874	69.9	0.587	121	282.9	284.3	71.8	0.637	10792	7342	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
86272	0	444	33.4	786.0	149.5	0.005	0.396	0.009	1.775	49796	70.7	0.577	123	282.8	284.2	68.5	0.544	10788	7345	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
85754	0	443	33.5	784.7	148.7	0.005	0.400	0.009	1.775	50651	69.7	0.591	122	283.2	284.6	68.8	0.650	10738	7193	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
85443	0	436	33.1	794.5	145.4	0.005	0.397	0.009	1.742	48196	68.2	0.564	120	282.9	284.3	91.8	17.999	10742	6845	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
86627	0	460	34.0	800.3	150.1	0.005	0.402	0.009	1.774	50955	69.8	0.588	121	282.6	284.0	68.7	0.967	10838	7342	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
86787	0	454	33.7	794.2	146.7	0.005	0.397	0.009	1.731	51191	69.7	0.590	120	285.1	286.5	61.6	0.495	10845	7392	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
86966	0	447	33.6	797.6	152.6	0.005	0.396	0.009	1.797	51026	69.5	0.587	120	286.4	287.8	61.1	0.575	10888	7242	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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
789	32885	1498	14.4	30.1	4.7	0.046	0.449	0.038	6.138	130620	53.3	3.972	243	281.5	283.2	69.1	0.055	4365	2143	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
791	33198	1458	14.2	25.7	4.0	0.044	0.438	0.033	5.238	131672	52.9	3.966	239	281.5	283.2	69.0	0.057	4349	2286	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
790	32885	1508	14.5	29.1	4.6	0.046	0.453	0.037	5.907	131061	53.2	3.985	243	281.5	283.2	69.1	0.050	4349	2110	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
790	33192	1509	14.1	27.3	4.5	0.045	0.434	0.034	5.816	131936	53.0	3.975	240	281.6	283.3	69.9	0.050	4267	1982	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
792	32167	2046	20.5	29.4	4.1	0.064	0.653	0.037	5.258	129176	52.9	4.016	247	281.6	283.3	88.8	0.041	4139	1822	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
789	32929	1894	18.7	29.3	4.1	0.058	0.581	0.037	5.358	131817	52.8	4.003	241	281.4	283.2	89.4	0.034	4475	2222	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
789	32170	1664	16.0	30.0	4.4	0.052	0.508	0.038	5.725	129059	53.2	4.012	248	281.7	283.4	76.2	0.067	4203	1598	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
790	32158	1641	15.9	30.5	4.6	0.051	0.507	0.039	5.918	128706	53.2	4.002	248	281.4	283.1	75.2	0.145	4139	2078	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
790	31931	1514	14.4	29.9	4.5	0.047	0.463	0.038	5.808	128318	53.4	4.019	251	281.6	283.3	69.4	0.075	4108	2063	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
789	31246	1502	14.4	29.2	4.2	0.048	0.473	0.037	5.406	125578	52.7	4.019	253	281.5	283.2	69.4	0.054	4171	2094	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
789	33423	1487	14.3	26.8	3.8	0.045	0.437	0.034	4.974	130833	52.8	3.914	237	281.5	283.1	71.3	0.080	4525	2285	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
790	31810	1456	14.1	29.5	4.4	0.046	0.454	0.037	5.694	127534	53.1	4.009	250	281.5	283.2	69.8	0.053	4203	2031	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
790	32120	1378	13.4	29.4	3.9	0.043	0.427	0.037	5.069	128661	53.3	4.006	249	281.4	283.1	61.6	0.050	4219	2254	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
790	32553	1466	14.2	31.5	4.4	0.045	0.446	0.040	5.725	130075	53.3	3.996	246	281.5	283.2	65.0	0.062	4219	2094	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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
3954	32821	74	2.0	49.6	8.6	0.002	0.061	0.013	2.215	128418	56.4	3.913	258	281.5	282.8	66.1	0.055	4235	3468	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
3962	33260	87	2.0	46.3	8.3	0.003	0.061	0.012	2.149	130202	56.4	3.915	254	281.5	282.8	66.4	0.482	4235	3597	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
3960	32622	100	2.2	48.8	8.9	0.003	0.068	0.012	2.299	128176	56.5	3.929	260	281.5	282.8	66.5	0.063	4171	3436	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
3960	33500	70	2.5	49.7	9.2	0.002	0.076	0.013	2.389	131768	56.7	3.933	254	281.5	282.8	66.2	0.016	4219	3470	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
3954	32979	142	4.6	51.2	7.6	0.004	0.143	0.013	1.973	129880	56.7	3.938	258	281.6	282.8	87.0	0.038	4077	3181	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
3941	33453	128	4.5	49.8	7.4	0.004	0.138	0.013	1.917	131717	56.2	3.937	252	281.4	282.7	86.0	0.066	4315	3372	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
3954	33000	78	2.3	47.8	8.5	0.002	0.070	0.012	2.213	130366	56.3	3.951	256	281.6	282.8	69.5	0.041	4061	3340	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
3956	32788	86	2.2	45.6	8.1	0.003	0.070	0.012	2.098	129463	56.1	3.949	257	281.5	282.7	70.9	0.041	4092	3388	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
3958	32588	74	2.2	48.9	8.7	0.002	0.068	0.012	2.240	129457	56.5	3.973	260	281.6	282.9	64.1	0.058	3996	3228	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
3956	31833	79	2.2	48.1	8.8	0.002	0.072	0.012	2.281	126451	56.4	3.972	266	281.6	282.8	64.8	0.026	4060	3468	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
3958	34018	86	2.4	46.6	8.6	0.003	0.072	0.012	2.220	131025	56.6	3.852	250	281.4	282.6	64.9	0.029	4333	3581	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
3956	32231	72	2.1	49.2	8.5	0.002	0.068	0.012	2.196	127725	56.2	3.963	262	281.7	283.0	64.8	0.058	4077	3404	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
3956	32659	64	1.7	46.2	7.9	0.002	0.052	0.012	2.037	129738	56.2	3.972	258	281.5	282.7	62.4	0.025	4171	3452	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
3960	32785	86	2.1	48.3	7.9	0.003	0.064	0.012	2.038	129713	56.3	3.956	258	281.6	282.8	62.9	0.026	4123	3372	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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
7930	32257	177	4.9	93.5	15.1	0.005	0.155	0.012	1.945	126579	59.9	3.924	279	281.6	281.9	66.8	0.072	4141	3388	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
7934	32399	202	4.9	97.5	16.2	0.006	0.155	0.012	2.090	127787	59.9	3.944	277	281.5	281.9	67.0	0.252	4139	3420	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
7934	31951	201	5.4	93.9	16.5	0.006	0.174	0.012	2.126	127064	59.8	3.977	281	281.5	281.8	68.6	0.104	4044	3276	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
7934	32006	200	5.2	95.7	16.0	0.006	0.166	0.012	2.066	126191	60.0	3.943	281	281.6	281.9	68.3	0.037	4059	3308	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
7934	31684	150	5.0	93.5	15.4	0.005	0.162	0.012	1.992	126289	60.1	3.986	285	281.6	281.9	87.3	0.080	3901	3053	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
7925	32290	143	5.5	92.4	15.6	0.004	0.176	0.012	2.015	128404	59.8	3.977	278	281.5	281.9	86.1	0.077	4124	3212	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
7934	31625	165	4.7	90.9	16.7	0.005	0.151	0.011	2.158	125130	59.8	3.957	284	281.7	282.1	67.7	0.048	3964	3117	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
7934	31374	176	4.6	93.8	17.5	0.006	0.149	0.012	2.252	125464	59.9	3.999	286	281.6	282.0	71.0	0.031	3948	3118	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
7934	31420	170	4.6	95.5	16.5	0.005	0.150	0.012	2.126	126300	60.2	4.020	287	281.6	282.0	63.2	0.073	3884	3180	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
7934	30543	158	4.8	96.6	15.8	0.005	0.161	0.012	2.043	123252	59.9	4.035	294	281.5	281.8	63.7	0.031	3901	3212	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
7930	32674	167	4.3	97.1	16.3	0.005	0.134	0.012	2.104	125569	60.0	3.843	275	281.9	282.2	64.0	0.053	4123	3340	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
7930	30926	165	4.2	96.2	15.6	0.005	0.138	0.012	2.015	123423	59.8	3.991	290	281.6	281.9	63.5	0.050	3901	3149	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
7930	31181	168	4.6	97.1	15.0	0.005	0.152	0.012	1.935	124652	59.8	3.998	288	281.5	281.8	62.8	0.082	3997	3260	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
7934	31163	183	4.3	94.5	15.7	0.006	0.143	0.012	2.021	124568	59.6	3.997	287	281.6	281.9	63.1	0.059	3933	3182	4000m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

l.i0

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	5.928	93.824	0.218	0.012	0.017	0.001	0.000	0.000	0.000	0.593	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	7.476	92.292	0.203	0.011	0.017	0.001	0.000	0.000	0.000	0.576	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	7.097	92.679	0.197	0.010	0.016	0.001	0.000	0.000	0.000	0.503	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	6.586	93.252	0.135	0.010	0.017	0.001	0.000	0.000	0.000	0.469	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	7.709	92.134	0.131	0.010	0.016	0.001	0.000	0.000	0.000	0.380	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	7.182	92.661	0.129	0.011	0.017	0.001	nonzero	0.000	0.000	1.603	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	6.597	93.228	0.145	0.012	0.016	0.001	0.000	0.000	0.000	0.966	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	6.760	93.079	0.134	0.010	0.017	0.001	0.000	0.000	0.000	0.519	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	7.159	92.668	0.145	0.011	0.016	0.001	0.000	0.000	0.000	0.552	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	7.715	92.116	0.141	0.010	0.017	0.001	0.000	0.000	0.000	0.467	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	7.244	92.585	0.145	0.009	0.017	0.001	0.000	0.000	0.000	0.485	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	7.781	92.053	0.139	0.010	0.016	0.001	0.000	0.000	0.000	0.860	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	7.752	92.085	0.135	0.011	0.017	0.001	0.000	0.000	0.000	0.875	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	6.963	92.871	0.139	0.010	0.016	0.001	0.000	0.000	0.000	0.380	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_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	0.022	31.934	67.864	0.162	0.016	0.001	0.000	0.000	0.000	0.473	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	0.019	42.009	57.802	0.149	0.019	0.002	0.000	0.000	0.000	0.427	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	0.013	41.377	58.442	0.146	0.020	0.002	0.000	0.000	0.000	0.496	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	0.009	41.208	58.624	0.141	0.015	0.002	0.000	0.000	0.000	0.507	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	0.037	43.100	56.687	0.157	0.015	0.002	nonzero	0.000	0.000	2.172	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	0.014	42.293	57.525	0.152	0.015	0.002	0.000	0.000	0.000	0.529	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	0.011	41.417	58.406	0.146	0.018	0.002	nonzero	0.000	0.000	1.130	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	0.009	41.157	58.672	0.143	0.016	0.002	0.000	0.000	0.000	0.637	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	0.020	40.272	59.551	0.140	0.016	0.002	0.000	0.000	0.000	0.544	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	0.011	39.915	59.921	0.134	0.016	0.002	0.000	0.000	0.000	0.650	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	0.029	38.650	61.156	0.145	0.016	0.003	0.000	0.000	nonzero	17.999	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	0.014	40.510	59.332	0.128	0.015	0.002	0.000	0.000	0.000	0.967	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	0.012	41.341	58.497	0.132	0.016	0.002	0.000	0.000	0.000	0.495	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	0.013	40.811	59.023	0.135	0.016	0.002	0.000	0.000	0.000	0.575	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.020	28.967	70.666	0.317	0.029	0.002	0.000	0.000	0.000	0.472	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	0.028	38.066	61.551	0.321	0.032	0.002	0.000	0.000	0.000	0.470	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	0.021	37.853	61.783	0.307	0.033	0.003	0.000	0.000	0.000	0.544	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	0.019	38.011	61.641	0.299	0.026	0.002	0.000	0.000	0.000	0.502	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	0.035	39.785	59.845	0.306	0.027	0.003	nonzero	0.000	0.000	2.324	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	0.033	39.067	60.562	0.311	0.026	0.002	0.000	0.000	0.000	0.530	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	0.025	38.489	61.161	0.293	0.031	0.002	nonzero	0.000	0.000	1.167	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	0.021	37.952	61.688	0.306	0.029	0.002	0.000	0.000	0.000	0.683	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	0.020	36.767	62.901	0.283	0.027	0.002	0.000	0.000	0.000	0.592	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	0.016	35.918	63.743	0.292	0.029	0.003	0.000	0.000	0.000	0.648	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	0.039	35.559	64.065	0.306	0.029	0.003	nonzero	0.000	nonzero	17.999	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	0.025	37.216	62.448	0.281	0.028	0.002	0.000	0.000	0.000	0.966	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	0.019	37.562	62.109	0.280	0.028	0.002	0.000	0.000	0.000	0.882	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	0.024	38.238	61.434	0.274	0.028	0.003	0.000	0.000	0.000	0.744	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

q100.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
78.526	21.221	0.252	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
78.641	21.117	0.240	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.057	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
78.593	21.145	0.261	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
78.226	21.465	0.308	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
75.461	23.955	0.583	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.041	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
78.608	21.013	0.377	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.034	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
76.025	23.583	0.390	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.067	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
75.450	24.167	0.382	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.145	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
75.512	24.171	0.316	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.075	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
74.050	25.536	0.412	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.054	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
79.137	20.494	0.368	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.080	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
74.904	24.799	0.296	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.053	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
75.527	24.224	0.248	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
76.830	22.870	0.299	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.062	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	5.194	94.802	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.030	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	0.510	99.479	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	0.979	99.014	0.003	0.003	0.000	0.000	0.000	0.000	0.000	0.027	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	3.566	96.424	0.007	0.003	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	7.580	92.396	0.024	0.000	0.000	0.000	0.000	0.000	0.000	0.013	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	1.146	98.847	0.007	0.000	0.000	0.000	0.000	0.000	0.000	0.004	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	0.611	99.382	0.007	0.000	0.000	0.000	0.000	0.000	0.000	0.004	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	5.399	94.559	0.017	0.024	0.000	0.000	0.000	0.000	0.000	0.049	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	1.545	98.444	0.007	0.003	0.000	0.000	0.000	0.000	0.000	0.049	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	2.545	97.438	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.016	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	3.017	96.972	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.012	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	3.194	96.802	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.004	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	2.194	97.788	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	3.125	96.580	0.278	0.017	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	7.833	92.132	0.031	0.003	0.000	0.000	0.000	0.000	0.000	0.031	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	5.177	94.788	0.021	0.010	0.003	0.000	0.000	0.000	0.000	0.110	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	5.243	94.740	0.010	0.007	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	7.951	92.028	0.014	0.007	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	9.278	90.684	0.031	0.007	0.000	0.000	0.000	0.000	0.000	0.022	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	8.257	91.726	0.014	0.003	0.000	0.000	0.000	0.000	0.000	0.034	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	7.903	92.090	0.007	0.000	0.000	0.000	0.000	0.000	0.000	0.015	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	12.309	87.649	0.017	0.024	0.000	0.000	0.000	0.000	0.000	0.049	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	4.281	95.698	0.014	0.007	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	7.142	92.840	0.010	0.007	0.000	0.000	0.000	0.000	0.000	0.035	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	8.611	91.368	0.021	0.000	0.000	0.000	0.000	0.000	0.000	0.012	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	8.243	91.743	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	5.028	94.958	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.012	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	6.323	93.385	0.274	0.017	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

q500.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
75.148	24.842	0.010	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.055	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
75.511	24.475	0.013	nonzero	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.482	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
74.330	25.658	0.012	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.063	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
76.769	23.221	0.009	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.016	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
74.602	25.387	0.010	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.038	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
77.405	22.583	0.012	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.066	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
75.769	24.220	0.011	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.041	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
74.901	25.089	0.009	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.041	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
74.619	25.371	0.009	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.058	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
71.901	28.084	0.015	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
77.878	22.110	0.012	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.029	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
72.975	27.014	0.011	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.058	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
74.606	25.386	0.008	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.025	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
74.971	25.017	0.012	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	6.157	93.765	0.076	0.002	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	4.023	92.019	3.943	0.010	0.000	0.005	0.000	0.000	0.000	0.520	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	2.710	94.616	2.667	0.007	0.000	0.000	0.000	0.000	0.000	0.024	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	6.694	93.153	0.151	0.001	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	15.865	83.998	0.134	0.003	0.000	0.000	0.000	0.000	0.000	0.033	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	3.405	94.646	1.942	0.007	0.000	0.000	0.000	0.000	0.000	0.027	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	3.338	96.114	0.548	0.001	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	7.194	92.693	0.110	0.003	0.000	0.000	0.000	0.000	0.000	0.023	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	9.298	90.659	0.042	0.001	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	3.610	92.440	3.942	0.007	0.000	0.000	0.000	0.000	0.000	0.024	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	9.230	90.166	0.601	0.003	0.000	0.000	0.000	0.000	0.000	0.020	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	8.128	91.490	0.379	0.003	0.000	0.000	0.000	0.000	0.000	0.020	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	7.897	92.035	0.065	0.002	0.000	0.000	0.000	0.000	0.000	0.023	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	2.790	92.881	4.315	0.013	0.000	0.000	0.000	0.000	0.000	0.024	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	18.472	81.408	0.103	0.015	0.001	0.000	0.000	0.000	0.000	0.188	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	11.728	84.651	3.597	0.017	0.000	0.006	0.000	0.000	0.000	0.624	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	6.997	90.271	2.708	0.024	0.000	0.000	0.000	0.000	0.000	0.042	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	17.968	81.853	0.173	0.006	0.000	0.000	0.000	0.000	0.000	0.042	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	26.237	73.584	0.172	0.007	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	13.224	84.934	1.825	0.017	0.000	0.000	0.000	0.000	0.000	0.038	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	13.085	86.416	0.496	0.003	0.000	0.000	0.000	0.000	0.000	0.031	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	21.754	78.126	0.115	0.005	0.000	0.000	0.000	0.000	0.000	0.039	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	19.881	80.063	0.051	0.006	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	8.673	87.413	3.906	0.008	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	19.618	79.815	0.562	0.004	0.000	0.000	0.000	0.000	0.000	0.030	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	17.680	81.942	0.374	0.003	0.000	0.000	0.000	0.000	0.000	0.029	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	22.506	77.422	0.070	0.001	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	9.135	87.017	3.839	0.008	0.000	0.000	0.000	0.000	0.000	0.049	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

q1000.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
72.104	27.867	0.029	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.072	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
72.228	27.753	0.019	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.252	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
70.999	28.983	0.017	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.104	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
70.913	29.062	0.025	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.037	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
69.217	30.760	0.023	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.080	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
71.947	28.033	0.019	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.077	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
69.524	30.430	0.045	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.048	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
68.396	31.585	0.018	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.031	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
68.760	31.219	0.020	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.073	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
64.715	35.264	0.021	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.031	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
72.497	27.482	0.020	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.053	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
66.653	33.310	0.036	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
67.428	32.553	0.019	nonzero	nonzero	nonzero	0.000	0.000	0.000	0.000	0.082	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
68.014	31.956	0.029	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.059	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	2.716	83.189	14.060	0.035	0.000	0.000	0.000	0.000	0.000	0.034	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	5.859	93.252	0.880	0.009	0.000	0.000	0.000	0.000	0.000	0.029	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	5.531	94.305	0.159	0.005	nonzero	0.000	0.000	0.000	0.000	0.070	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	1.503	92.054	6.425	0.018	0.000	0.000	0.000	0.000	0.000	0.027	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	8.515	89.814	1.657	0.014	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	4.905	93.820	1.272	0.003	0.000	0.000	0.000	0.000	0.000	0.020	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	0.118	58.044	41.767	0.070	0.000	0.000	0.000	0.000	0.000	0.032	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	4.132	95.611	0.256	0.001	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	4.899	94.669	0.428	0.004	0.000	0.000	0.000	0.000	0.000	0.033	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	2.274	97.334	0.387	0.005	0.001	0.000	0.000	0.000	0.000	0.109	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	4.519	94.259	1.206	0.016	0.000	0.000	0.000	0.000	0.000	0.035	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	2.664	78.717	18.606	0.014	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	2.634	96.401	0.958	0.007	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	2.606	89.214	8.163	0.017	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	6.407	80.068	13.469	0.055	0.001	0.000	0.000	0.000	0.000	0.124	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j404_gcp_c2s30
0.000	14.906	84.183	0.890	0.021	0.001	0.000	0.000	0.000	0.000	0.113	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j411_gcp_c2s30
0.000	16.950	82.834	0.194	0.021	0.001	0.000	0.000	0.000	0.000	0.100	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j421_gcp_c2s30
0.000	5.434	88.393	6.137	0.036	0.000	0.000	0.000	0.000	0.000	0.042	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j431_gcp_c2s30
0.000	15.748	82.610	1.611	0.031	nonzero	0.000	0.000	0.000	0.000	0.096	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j440_gcp_c2s30
0.000	18.271	80.499	1.215	0.015	0.000	0.000	0.000	0.000	0.000	0.035	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j450_gcp_c2s30
0.000	0.959	58.747	40.218	0.076	0.001	0.000	0.000	0.000	0.000	0.074	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j501_gcp_c2s30
0.000	16.379	83.337	0.277	0.007	0.000	0.000	0.000	0.000	0.000	0.045	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j510_gcp_c2s30
0.000	14.428	85.111	0.451	0.010	0.000	0.000	0.000	0.000	0.000	0.044	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j520_gcp_c2s30
0.000	8.675	90.922	0.394	0.008	0.001	0.000	0.000	0.000	0.000	0.109	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521_gcp_c2s30
0.000	14.075	84.740	1.164	0.021	0.000	0.000	0.000	0.000	0.000	0.048	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7o_gcp_c2s30
0.000	7.116	75.465	17.402	0.017	0.000	0.000	0.000	0.000	0.000	0.031	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prof_gcp_c2s30
0.000	10.907	88.153	0.926	0.014	nonzero	0.000	0.000	0.000	0.000	0.069	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j521prod_gcp_c2s30
0.000	9.550	82.638	7.791	0.022	0.000	0.000	0.000	0.000	0.000	0.046	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7j530_gcp_c2s30