Introduction

This is a report for the insert benchmark with 160M 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 20M rows per table without secondary indexes, creates secondary indexes, then inserts 50M rows with a delete per insert to avoid growing the table. It then does 3 read+write tests for 3600s each that do queries as fast as possible with 100, 500 and then 1000 inserts/second/client concurrent with the queries and 1000 deletes/second to avoid growing the table. The database is cached by the OS but not by the 4G RocksDB block cache.

The tested DBMS are:


Contents


Summary

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

dbmsl.i0l.xl.i1q100.1q500.1q1000.1
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30 51446966708389027378113683135440
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30 54054067839089266394353807736926
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30 49844266708390806373163622034807
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30 42895465614839734383393688535511
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30 49382766157060196383923712535606
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30 55363366987492507383073731735919
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30 55555666987492293393903833637040
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30 55363365884891387394583830937001

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.cy9c_4g_gcp_c2s30 1.001.001.001.001.001.00
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30 1.051.021.001.041.031.04
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30 0.971.001.020.990.980.98
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30 0.830.980.451.011.001.00
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30 0.960.990.681.021.011.00
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30 1.081.001.041.011.011.01
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30 1.081.001.041.041.041.05
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30 1.080.991.031.041.041.04

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.cy9c_4g_gcp_c2s3079739877973
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s3079739877976
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s3079739877976
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3079839887976
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s3079739867971
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3079839887973
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3079739877971
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s3079839877973
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.cy9c_4g_gcp_c2s3011.00688.8230.1520.0050.0140.239
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s3010.55289.2750.1520.0060.0130.0010.403
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s3010.57989.2460.1560.0050.0140.217
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3010.77185.3033.8850.0260.0150.254
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s309.85789.1700.9540.0050.0140.255
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3010.15289.6860.1400.0060.0140.0010.367
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s309.37390.4740.1330.0040.0160.0010.369
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s309.62090.2110.1470.0080.0150.221

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
514469	0	0	0.0	437.9	125.2	0.000	0.000	0.001	0.249	65582	70.4	0.127	21	5.0	6.7	1.7	0.239	67326	49064	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
540540	0	0	0.0	446.5	127.5	0.000	0.000	0.001	0.241	62219	71.4	0.115	20	5.2	6.9	1.8	0.403	71323	48347	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
498442	0	0	0.0	431.6	121.3	0.000	0.000	0.001	0.249	66743	69.2	0.134	21	5.1	6.8	1.7	0.217	64830	49046	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
428954	0	0	0.0	422.0	126.9	0.000	0.000	0.001	0.303	51198	61.2	0.119	21	7.0	8.7	1.9	0.254	64230	7392	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
493827	0	0	0.0	440.7	122.5	0.000	0.000	0.001	0.254	62360	67.1	0.126	20	5.0	6.7	1.7	0.255	68026	25382	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
553633	0	0	0.0	483.9	131.2	0.000	0.000	0.001	0.243	64288	72.4	0.116	20	5.1	6.8	1.6	0.367	74219	52064	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
555556	0	0	0.0	492.5	130.0	0.000	0.000	0.001	0.240	63990	72.6	0.115	20	5.1	6.7	1.7	0.369	75540	54241	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
553633	0	0	0.0	495.2	130.4	0.000	0.000	0.001	0.241	63822	73.4	0.115	20	5.0	6.7	1.7	0.221	74818	50743	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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
667083	0	1	0.1	241.8	88.6	0.000	0.000	0.000	0.136	1241	49.1	0.002	11	10.8	12.5	7.4	0.003	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
678390	0	1	0.1	249.2	90.6	0.000	0.000	0.000	0.137	1385	49.2	0.002	11	10.8	12.5	8.5	0.004	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
667083	0	1	0.1	243.6	89.1	0.000	0.000	0.000	0.137	1326	49.0	0.002	11	10.9	12.6	7.5	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
656148	0	1	0.1	253.7	86.6	0.000	0.000	0.000	0.135	1324	49.0	0.002	11	10.8	12.5	7.1	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
661570	0	1	0.0	240.3	89.0	0.000	0.000	0.000	0.138	1164	49.5	0.002	11	10.8	12.5	7.2	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
669874	0	1	0.1	245.7	91.1	0.000	0.000	0.000	0.139	1224	49.7	0.002	11	10.8	12.5	7.3	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
669874	0	1	0.0	244.5	89.7	0.000	0.000	0.000	0.137	1246	49.6	0.002	11	10.8	12.5	8.2	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
658848	0	1	0.0	242.2	89.0	0.000	0.000	0.000	0.138	1275	49.5	0.002	11	10.8	12.5	8.2	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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.cy9c_4g_gcp_c2s300.01343.61256.1910.1610.0180.0010.0020.0026.699
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s300.01442.70556.8710.2900.1180.0020.590
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s300.00742.14757.6620.1660.0170.0010.566
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s300.00843.39249.7251.7015.1650.0080.315
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s300.01038.58851.6919.6140.0970.204
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s300.01640.18359.7070.0770.0160.0010.405
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s300.01639.27660.6100.0810.0160.0010.391
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s300.02238.08361.7940.0850.0160.0010.426

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.cy9c_4g_gcp_c2s300.01339.60060.1950.1690.0180.0010.0030.0016.563
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s300.01540.43259.1370.2950.1190.0020.590
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s300.00936.67463.1220.1760.0170.0020.566
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s300.01143.74849.3661.7005.1670.0080.316
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s300.01441.90948.4139.5680.0970.205
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s300.02142.51957.3680.0750.0160.0010.408
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s300.03142.70357.1730.0780.0150.0010.391
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s300.02840.45059.4240.0820.0160.0010.429

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
89027	0	3	1.2	466.6	110.8	0.000	0.014	0.005	1.275	69291	65.3	0.778	110	19.2	20.7	6.0	6.699	11892	0	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
89266	0	3	1.2	463.8	109.9	0.000	0.014	0.005	1.260	51929	61.2	0.582	103	21.7	23.2	6.9	0.590	11837	2597	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
90806	0	3	1.3	475.9	114.0	0.000	0.014	0.005	1.286	110681	66.8	1.219	110	20.5	22.0	6.2	0.566	11676	5744	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
39734	0	1	0.6	246.8	65.5	0.000	0.014	0.006	1.689	26421	27.3	0.665	103	15.5	17.0	5.9	0.315	749	250	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
60196	0	2	0.8	384.4	91.3	0.000	0.014	0.006	1.553	41888	42.4	0.696	106	14.3	15.8	6.0	0.204	8740	899	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
92507	0	3	1.3	568.8	134.6	0.000	0.014	0.006	1.490	56184	62.4	0.607	101	13.7	15.2	6.1	0.405	11789	8591	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
92293	0	3	1.3	577.3	135.9	0.000	0.014	0.006	1.508	53654	61.8	0.581	100	13.4	15.0	6.9	0.391	11737	8591	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
91387	0	3	1.3	548.1	130.8	0.000	0.014	0.006	1.466	51931	63.1	0.568	104	14.2	15.7	6.9	0.426	11587	8590	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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.cy9c_4g_gcp_c2s3096.0733.9260.001nonzerononzero0.018
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s3097.6022.3970.001nonzero0.015
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s3094.8255.1740.001nonzero0.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3096.7733.2250.001nonzerononzero0.018
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s3096.8473.1520.001nonzero0.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3096.8313.1680.001nonzero0.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3097.5342.4650.001nonzero0.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s3097.6662.3330.001nonzero0.012

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.cy9c_4g_gcp_c2s3010.64689.3520.0020.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s307.32692.6040.0030.0590.0070.175
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s303.18896.8110.0020.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s305.50094.4910.0090.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s300.68999.3040.0070.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s302.79297.2050.0030.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s302.42497.5680.0090.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s306.39293.6060.0020.006

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.cy9c_4g_gcp_c2s3010.84989.1510.003
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s3010.58389.3400.0090.0560.0120.134
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s305.36894.6270.0050.011
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3012.07887.9150.0070.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s307.62792.3650.0070.0020.036
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s308.94691.0500.0030.006
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3012.03887.9510.0100.007
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s3013.07186.9270.0020.006

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
797	37811	0	0.0	15.1	2.1	0.000	0.000	0.019	2.707	145860	54.7	3.858	217	11.9	14.1	6.0	0.018	4763	3948	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
797	39435	0	0.0	16.5	2.3	0.000	0.000	0.021	2.949	151239	54.7	3.835	208	12.0	14.1	6.0	0.015	4939	4123	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
797	37316	0	0.0	16.2	2.3	0.000	0.000	0.020	2.906	148531	54.3	3.980	218	12.0	14.2	5.9	0.006	4683	3708	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
798	38339	0	0.0	13.0	1.8	0.000	0.000	0.016	2.327	147869	54.5	3.857	213	12.3	14.5	5.8	0.018	4811	4427	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
797	38392	0	0.0	11.9	1.7	0.000	0.000	0.015	2.146	148040	54.6	3.856	213	12.8	14.9	6.0	0.006	4875	4539	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
798	38307	0	0.0	11.4	1.5	0.000	0.000	0.014	1.914	147539	54.3	3.852	213	12.4	14.5	6.2	0.007	4811	4491	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
797	39390	0	0.0	12.9	2.0	0.000	0.000	0.016	2.506	150939	54.5	3.832	208	12.6	14.8	6.3	0.006	4939	4477	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
798	39458	0	0.0	11.9	1.5	0.000	0.000	0.015	1.988	151125	54.7	3.830	208	12.4	14.6	6.1	0.012	4923	4667	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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.cy9c_4g_gcp_c2s3093.7906.2050.005nonzerononzero0.023
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s3095.4534.5420.005nonzero0.014
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s3091.8778.1200.003nonzerononzero0.017
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3093.6206.3740.006nonzerononzero0.016
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s3093.8136.1780.008nonzerononzero0.026
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3094.0845.9110.005nonzerononzero0.038
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3095.1674.8270.006nonzerononzero0.017
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s3094.9755.0180.007nonzerononzero0.017

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.cy9c_4g_gcp_c2s3014.27385.6890.0370.0010.060
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s3019.78180.2150.004nonzero0.096
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s304.75195.2300.019nonzerononzero0.070
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3016.18783.4580.3550.016
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s301.94395.9682.0820.0070.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3012.39487.5570.0470.0020.0010.075
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3012.98786.8910.1180.0040.026
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s309.68488.9741.3350.0070.022

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.cy9c_4g_gcp_c2s3023.69076.2770.0320.0010.060
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s3032.17867.8170.0040.001nonzero0.096
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s3015.65784.3230.0180.002nonzero0.070
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3022.09177.6080.2990.0020.032
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s306.82891.3731.7910.0080.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3022.73077.2280.0370.0040.0010.072
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3026.58973.2990.1090.0020.033
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s3017.67581.0741.2430.0090.020

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
3987	36831	0	0.0	34.3	6.4	0.000	0.000	0.009	1.636	143183	56.4	3.888	230	12.3	13.5	5.3	0.023	4635	4267	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
3987	38077	0	0.0	33.6	6.3	0.000	0.000	0.008	1.615	147004	56.3	3.861	222	12.0	13.3	5.4	0.014	4747	4397	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
3987	36220	0	0.0	34.5	6.6	0.000	0.000	0.009	1.688	146265	56.1	4.038	232	12.2	13.4	5.3	0.017	4541	4155	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
3988	36885	0	0.0	33.4	6.7	0.000	0.000	0.008	1.709	143354	56.4	3.886	229	12.3	13.6	5.3	0.016	4635	4251	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
3986	37125	0	0.0	35.7	6.7	0.000	0.000	0.009	1.717	143981	56.7	3.878	229	12.7	14.0	5.3	0.026	4683	4301	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
3988	37317	0	0.0	35.2	6.8	0.000	0.000	0.009	1.741	144394	56.5	3.869	227	12.6	13.8	5.2	0.038	4669	3997	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
3987	38336	0	0.0	35.8	6.8	0.000	0.000	0.009	1.759	147322	56.6	3.843	221	12.9	14.1	5.3	0.017	4813	4139	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
3987	38309	0	0.0	35.8	6.6	0.000	0.000	0.009	1.702	147048	56.8	3.839	222	12.6	13.8	5.3	0.017	4827	3932	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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.cy9c_4g_gcp_c2s3088.85011.1360.014nonzerononzero0.024
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s3091.6908.2940.016nonzerononzero0.019
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s3086.26313.7280.008nonzerononzero0.016
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3088.69411.2950.011nonzerononzero0.032
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s3089.00410.9780.017nonzerononzero0.050
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3089.19110.7970.011nonzerononzero0.017
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3091.1108.8790.011nonzerononzero0.025
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s3090.8569.1280.016nonzerononzero0.026

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.cy9c_4g_gcp_c2s304.32492.3213.3480.0070.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s305.10689.5845.3020.0080.025
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s301.91997.4800.5990.0020.027
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s305.75893.7240.5170.0010.028
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s301.75786.58411.6490.0090.061
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3010.98687.9431.0660.0060.025
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3010.99287.8621.1350.0110.051
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s309.45186.1184.4150.0150.046

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.cy9c_4g_gcp_c2s309.55487.3943.0420.0100.036
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s309.86885.4194.7060.0070.033
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s308.22191.2940.4810.0040.032
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s3011.24388.2840.4720.0020.036
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s305.44084.00310.5490.0080.062
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s3017.36481.6880.9420.0060.038
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s3018.46480.5011.0270.0090.051
fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s3013.95082.0194.0140.0170.045

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
7973	35440	0	0.0	64.9	13.1	0.000	0.000	0.008	1.680	138744	58.8	3.915	249	12.3	13.7	5.3	0.024	4443	4123	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
7976	36926	0	0.0	64.2	13.4	0.000	0.000	0.008	1.716	142642	59.0	3.863	240	12.2	13.6	5.4	0.019	4637	4347	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
7976	34807	0	0.0	64.7	12.7	0.000	0.000	0.008	1.632	142971	58.8	4.107	253	12.3	13.7	5.3	0.016	4379	4045	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
7976	35511	0	0.0	64.0	13.0	0.000	0.000	0.008	1.668	139074	58.8	3.916	248	12.5	13.9	5.3	0.032	4459	4123	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
7971	35606	0	0.0	69.7	13.9	0.000	0.000	0.009	1.786	138692	59.5	3.895	251	13.0	14.4	5.3	0.050	4475	4157	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
7973	35919	0	0.0	68.4	14.0	0.000	0.000	0.009	1.796	139619	59.3	3.887	248	12.8	14.2	5.2	0.017	4507	3596	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
7971	37040	0	0.0	68.3	14.6	0.000	0.000	0.009	1.870	142456	59.4	3.846	241	12.6	13.9	5.3	0.025	4667	3756	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
7973	37001	0	0.0	68.3	13.9	0.000	0.000	0.009	1.784	142121	59.7	3.841	242	12.9	14.3	5.3	0.026	4667	3740	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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
514469	0	0	0.0	437.9	125.2	0.000	0.000	0.001	0.249	65582	70.4	0.127	21	5.0	6.7	1.7	0.239	67326	49064	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
540540	0	0	0.0	446.5	127.5	0.000	0.000	0.001	0.241	62219	71.4	0.115	20	5.2	6.9	1.8	0.403	71323	48347	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
498442	0	0	0.0	431.6	121.3	0.000	0.000	0.001	0.249	66743	69.2	0.134	21	5.1	6.8	1.7	0.217	64830	49046	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
428954	0	0	0.0	422.0	126.9	0.000	0.000	0.001	0.303	51198	61.2	0.119	21	7.0	8.7	1.9	0.254	64230	7392	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
493827	0	0	0.0	440.7	122.5	0.000	0.000	0.001	0.254	62360	67.1	0.126	20	5.0	6.7	1.7	0.255	68026	25382	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
553633	0	0	0.0	483.9	131.2	0.000	0.000	0.001	0.243	64288	72.4	0.116	20	5.1	6.8	1.6	0.367	74219	52064	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
555556	0	0	0.0	492.5	130.0	0.000	0.000	0.001	0.240	63990	72.6	0.115	20	5.1	6.7	1.7	0.369	75540	54241	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
553633	0	0	0.0	495.2	130.4	0.000	0.000	0.001	0.241	63822	73.4	0.115	20	5.0	6.7	1.7	0.221	74818	50743	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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
667083	0	1	0.1	241.8	88.6	0.000	0.000	0.000	0.136	1241	49.1	0.002	11	10.8	12.5	7.4	0.003	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
678390	0	1	0.1	249.2	90.6	0.000	0.000	0.000	0.137	1385	49.2	0.002	11	10.8	12.5	8.5	0.004	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
667083	0	1	0.1	243.6	89.1	0.000	0.000	0.000	0.137	1326	49.0	0.002	11	10.9	12.6	7.5	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
656148	0	1	0.1	253.7	86.6	0.000	0.000	0.000	0.135	1324	49.0	0.002	11	10.8	12.5	7.1	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
661570	0	1	0.0	240.3	89.0	0.000	0.000	0.000	0.138	1164	49.5	0.002	11	10.8	12.5	7.2	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
669874	0	1	0.1	245.7	91.1	0.000	0.000	0.000	0.139	1224	49.7	0.002	11	10.8	12.5	7.3	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
669874	0	1	0.0	244.5	89.7	0.000	0.000	0.000	0.137	1246	49.6	0.002	11	10.8	12.5	8.2	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
658848	0	1	0.0	242.2	89.0	0.000	0.000	0.000	0.138	1275	49.5	0.002	11	10.8	12.5	8.2	0.002	NA	NA	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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
89027	0	3	1.2	466.6	110.8	0.000	0.014	0.005	1.275	69291	65.3	0.778	110	19.2	20.7	6.0	6.699	11892	0	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
89266	0	3	1.2	463.8	109.9	0.000	0.014	0.005	1.260	51929	61.2	0.582	103	21.7	23.2	6.9	0.590	11837	2597	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
90806	0	3	1.3	475.9	114.0	0.000	0.014	0.005	1.286	110681	66.8	1.219	110	20.5	22.0	6.2	0.566	11676	5744	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
39734	0	1	0.6	246.8	65.5	0.000	0.014	0.006	1.689	26421	27.3	0.665	103	15.5	17.0	5.9	0.315	749	250	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
60196	0	2	0.8	384.4	91.3	0.000	0.014	0.006	1.553	41888	42.4	0.696	106	14.3	15.8	6.0	0.204	8740	899	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
92507	0	3	1.3	568.8	134.6	0.000	0.014	0.006	1.490	56184	62.4	0.607	101	13.7	15.2	6.1	0.405	11789	8591	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
92293	0	3	1.3	577.3	135.9	0.000	0.014	0.006	1.508	53654	61.8	0.581	100	13.4	15.0	6.9	0.391	11737	8591	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
91387	0	3	1.3	548.1	130.8	0.000	0.014	0.006	1.466	51931	63.1	0.568	104	14.2	15.7	6.9	0.426	11587	8590	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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
797	37811	0	0.0	15.1	2.1	0.000	0.000	0.019	2.707	145860	54.7	3.858	217	11.9	14.1	6.0	0.018	4763	3948	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
797	39435	0	0.0	16.5	2.3	0.000	0.000	0.021	2.949	151239	54.7	3.835	208	12.0	14.1	6.0	0.015	4939	4123	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
797	37316	0	0.0	16.2	2.3	0.000	0.000	0.020	2.906	148531	54.3	3.980	218	12.0	14.2	5.9	0.006	4683	3708	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
798	38339	0	0.0	13.0	1.8	0.000	0.000	0.016	2.327	147869	54.5	3.857	213	12.3	14.5	5.8	0.018	4811	4427	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
797	38392	0	0.0	11.9	1.7	0.000	0.000	0.015	2.146	148040	54.6	3.856	213	12.8	14.9	6.0	0.006	4875	4539	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
798	38307	0	0.0	11.4	1.5	0.000	0.000	0.014	1.914	147539	54.3	3.852	213	12.4	14.5	6.2	0.007	4811	4491	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
797	39390	0	0.0	12.9	2.0	0.000	0.000	0.016	2.506	150939	54.5	3.832	208	12.6	14.8	6.3	0.006	4939	4477	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
798	39458	0	0.0	11.9	1.5	0.000	0.000	0.015	1.988	151125	54.7	3.830	208	12.4	14.6	6.1	0.012	4923	4667	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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
3987	36831	0	0.0	34.3	6.4	0.000	0.000	0.009	1.636	143183	56.4	3.888	230	12.3	13.5	5.3	0.023	4635	4267	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
3987	38077	0	0.0	33.6	6.3	0.000	0.000	0.008	1.615	147004	56.3	3.861	222	12.0	13.3	5.4	0.014	4747	4397	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
3987	36220	0	0.0	34.5	6.6	0.000	0.000	0.009	1.688	146265	56.1	4.038	232	12.2	13.4	5.3	0.017	4541	4155	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
3988	36885	0	0.0	33.4	6.7	0.000	0.000	0.008	1.709	143354	56.4	3.886	229	12.3	13.6	5.3	0.016	4635	4251	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
3986	37125	0	0.0	35.7	6.7	0.000	0.000	0.009	1.717	143981	56.7	3.878	229	12.7	14.0	5.3	0.026	4683	4301	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
3988	37317	0	0.0	35.2	6.8	0.000	0.000	0.009	1.741	144394	56.5	3.869	227	12.6	13.8	5.2	0.038	4669	3997	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
3987	38336	0	0.0	35.8	6.8	0.000	0.000	0.009	1.759	147322	56.6	3.843	221	12.9	14.1	5.3	0.017	4813	4139	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
3987	38309	0	0.0	35.8	6.6	0.000	0.000	0.009	1.702	147048	56.8	3.839	222	12.6	13.8	5.3	0.017	4827	3932	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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
7973	35440	0	0.0	64.9	13.1	0.000	0.000	0.008	1.680	138744	58.8	3.915	249	12.3	13.7	5.3	0.024	4443	4123	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
7976	36926	0	0.0	64.2	13.4	0.000	0.000	0.008	1.716	142642	59.0	3.863	240	12.2	13.6	5.4	0.019	4637	4347	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
7976	34807	0	0.0	64.7	12.7	0.000	0.000	0.008	1.632	142971	58.8	4.107	253	12.3	13.7	5.3	0.016	4379	4045	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
7976	35511	0	0.0	64.0	13.0	0.000	0.000	0.008	1.668	139074	58.8	3.916	248	12.5	13.9	5.3	0.032	4459	4123	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
7971	35606	0	0.0	69.7	13.9	0.000	0.000	0.009	1.786	138692	59.5	3.895	251	13.0	14.4	5.3	0.050	4475	4157	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
7973	35919	0	0.0	68.4	14.0	0.000	0.000	0.009	1.796	139619	59.3	3.887	248	12.8	14.2	5.2	0.017	4507	3596	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
7971	37040	0	0.0	68.3	14.6	0.000	0.000	0.009	1.870	142456	59.4	3.846	241	12.6	13.9	5.3	0.025	4667	3756	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
7973	37001	0	0.0	68.3	13.9	0.000	0.000	0.009	1.784	142121	59.7	3.841	242	12.9	14.3	5.3	0.026	4667	3740	160m.fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

l.i0

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	11.006	88.823	0.152	0.005	0.014	0.000	0.000	0.000	0.000	0.239	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	10.552	89.275	0.152	0.006	0.013	0.001	0.000	0.000	0.000	0.403	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	10.579	89.246	0.156	0.005	0.014	0.000	0.000	0.000	0.000	0.217	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	10.771	85.303	3.885	0.026	0.015	0.000	0.000	0.000	0.000	0.254	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	9.857	89.170	0.954	0.005	0.014	0.000	0.000	0.000	0.000	0.255	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	10.152	89.686	0.140	0.006	0.014	0.001	0.000	0.000	0.000	0.367	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	9.373	90.474	0.133	0.004	0.016	0.001	0.000	0.000	0.000	0.369	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	9.620	90.211	0.147	0.008	0.015	0.000	0.000	0.000	0.000	0.221	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_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	0.013	43.612	56.191	0.161	0.018	0.001	0.002	0.002	0.000	6.699	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	0.014	42.705	56.871	0.290	0.118	0.002	0.000	0.000	0.000	0.590	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	0.007	42.147	57.662	0.166	0.017	0.001	0.000	0.000	0.000	0.566	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	0.008	43.392	49.725	1.701	5.165	0.008	0.000	0.000	0.000	0.315	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	0.010	38.588	51.691	9.614	0.097	0.000	0.000	0.000	0.000	0.204	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	0.016	40.183	59.707	0.077	0.016	0.001	0.000	0.000	0.000	0.405	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	0.016	39.276	60.610	0.081	0.016	0.001	0.000	0.000	0.000	0.391	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	0.022	38.083	61.794	0.085	0.016	0.001	0.000	0.000	0.000	0.426	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.013	39.600	60.195	0.169	0.018	0.001	0.003	0.001	0.000	6.563	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	0.015	40.432	59.137	0.295	0.119	0.002	0.000	0.000	0.000	0.590	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	0.009	36.674	63.122	0.176	0.017	0.002	0.000	0.000	0.000	0.566	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	0.011	43.748	49.366	1.700	5.167	0.008	0.000	0.000	0.000	0.316	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	0.014	41.909	48.413	9.568	0.097	0.000	0.000	0.000	0.000	0.205	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	0.021	42.519	57.368	0.075	0.016	0.001	0.000	0.000	0.000	0.408	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	0.031	42.703	57.173	0.078	0.015	0.001	0.000	0.000	0.000	0.391	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	0.028	40.450	59.424	0.082	0.016	0.001	0.000	0.000	0.000	0.429	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

q100.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
96.073	3.926	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
97.602	2.397	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.015	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
94.825	5.174	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
96.773	3.225	0.001	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.018	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
96.847	3.152	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
96.831	3.168	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
97.534	2.465	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
97.666	2.333	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.012	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	10.646	89.352	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	7.326	92.604	0.003	0.059	0.007	0.000	0.000	0.000	0.000	0.175	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	3.188	96.811	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	5.500	94.491	0.009	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	0.689	99.304	0.007	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	2.792	97.205	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	2.424	97.568	0.009	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	6.392	93.606	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	10.849	89.151	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	10.583	89.340	0.009	0.056	0.012	0.000	0.000	0.000	0.000	0.134	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	5.368	94.627	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.011	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	12.078	87.915	0.007	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	7.627	92.365	0.007	0.002	0.000	0.000	0.000	0.000	0.000	0.036	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	8.946	91.050	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	12.038	87.951	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.007	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	13.071	86.927	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.006	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

q500.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
93.790	6.205	0.005	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.023	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
95.453	4.542	0.005	nonzero	0.000	0.000	0.000	0.000	0.000	0.000	0.014	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
91.877	8.120	0.003	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
93.620	6.374	0.006	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.016	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
93.813	6.178	0.008	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
94.084	5.911	0.005	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.038	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
95.167	4.827	0.006	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
94.975	5.018	0.007	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	14.273	85.689	0.037	0.001	0.000	0.000	0.000	0.000	0.000	0.060	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	19.781	80.215	0.004	0.000	nonzero	0.000	0.000	0.000	0.000	0.096	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	4.751	95.230	0.019	nonzero	nonzero	0.000	0.000	0.000	0.000	0.070	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	16.187	83.458	0.355	0.000	0.000	0.000	0.000	0.000	0.000	0.016	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	1.943	95.968	2.082	0.007	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	12.394	87.557	0.047	0.002	0.001	0.000	0.000	0.000	0.000	0.075	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	12.987	86.891	0.118	0.004	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	9.684	88.974	1.335	0.007	0.000	0.000	0.000	0.000	0.000	0.022	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	23.690	76.277	0.032	0.001	0.000	0.000	0.000	0.000	0.000	0.060	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	32.178	67.817	0.004	0.001	nonzero	0.000	0.000	0.000	0.000	0.096	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	15.657	84.323	0.018	0.002	nonzero	0.000	0.000	0.000	0.000	0.070	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	22.091	77.608	0.299	0.002	0.000	0.000	0.000	0.000	0.000	0.032	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	6.828	91.373	1.791	0.008	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	22.730	77.228	0.037	0.004	0.001	0.000	0.000	0.000	0.000	0.072	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	26.589	73.299	0.109	0.002	0.000	0.000	0.000	0.000	0.000	0.033	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	17.675	81.074	1.243	0.009	0.000	0.000	0.000	0.000	0.000	0.020	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

q1000.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
88.850	11.136	0.014	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.024	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
91.690	8.294	0.016	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
86.263	13.728	0.008	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.016	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
88.694	11.295	0.011	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.032	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
89.004	10.978	0.017	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.050	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
89.191	10.797	0.011	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.017	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
91.110	8.879	0.011	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.025	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
90.856	9.128	0.016	nonzero	nonzero	0.000	0.000	0.000	0.000	0.000	0.026	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	4.324	92.321	3.348	0.007	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	5.106	89.584	5.302	0.008	0.000	0.000	0.000	0.000	0.000	0.025	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	1.919	97.480	0.599	0.002	0.000	0.000	0.000	0.000	0.000	0.027	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	5.758	93.724	0.517	0.001	0.000	0.000	0.000	0.000	0.000	0.028	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	1.757	86.584	11.649	0.009	0.000	0.000	0.000	0.000	0.000	0.061	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	10.986	87.943	1.066	0.006	0.000	0.000	0.000	0.000	0.000	0.025	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	10.992	87.862	1.135	0.011	0.000	0.000	0.000	0.000	0.000	0.051	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	9.451	86.118	4.415	0.015	0.000	0.000	0.000	0.000	0.000	0.046	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30

Delete response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	9.554	87.394	3.042	0.010	0.000	0.000	0.000	0.000	0.000	0.036	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c_4g_gcp_c2s30
0.000	9.868	85.419	4.706	0.007	0.000	0.000	0.000	0.000	0.000	0.033	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c1_4g_gcp_c2s30
0.000	8.221	91.294	0.481	0.004	0.000	0.000	0.000	0.000	0.000	0.032	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c2_4g_gcp_c2s30
0.000	11.243	88.284	0.472	0.002	0.000	0.000	0.000	0.000	0.000	0.036	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c3_4g_gcp_c2s30
0.000	5.440	84.003	10.549	0.008	0.000	0.000	0.000	0.000	0.000	0.062	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c4_4g_gcp_c2s30
0.000	17.364	81.688	0.942	0.006	0.000	0.000	0.000	0.000	0.000	0.038	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c5_4g_gcp_c2s30
0.000	18.464	80.501	1.027	0.009	0.000	0.000	0.000	0.000	0.000	0.051	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c6_4g_gcp_c2s30
0.000	13.950	82.019	4.014	0.017	0.000	0.000	0.000	0.000	0.000	0.045	fbmy8028_rel_lto_jun23_ef5b9b101_hack.cy9c7_4g_gcp_c2s30