Introduction

This is a report for the insert benchmark with 20M docs and 4 client(s). It is generated by scripts (bash, awk, sed) and Tufte might not be impressed. An overview of the insert benchmark is here and a short update is here. Below, by DBMS, I mean DBMS+version.config. An example is my8020.c10b40 where my means MySQL, 8020 is version 8.0.20 and c10b40 is the name for the configuration file.

The test server has 8 AMD cores, 16G RAM and an NVMe SSD. It is described here as the Beelink. The benchmark was run with 4 clients and there were 1 or 2 connections per client (1 for queries, 1 for inserts). The benchmark loads 20M rows without secondary indexes, creates secondary indexes, loads another 20M rows then does 3 read+write tests for one hour each that do queries as fast as possible with 100, 500 and then 1000 writes/second/client concurrent with the queries. All clients share one table. The database is cached by the OS page cache but not by the storage engine. Clients and the DBMS share one server. The per-database configs are in the per-database subdirectories here.

The tested DBMS are:


Contents


Summary

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

dbmsl.i0l.xl.i1q100.1q500.1q1000.1
20m.fbmy5635_rel.cay9c1g 2352948170785470105301028710466
20m.fbmy8028_rel_native_lto.cay9c1g 18867976136803211025199729915

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.

dbmsl.i0l.xl.i1q100.1q500.1q1000.1
20m.fbmy5635_rel.cay9c1g 1.001.001.001.001.001.00
20m.fbmy8028_rel_native_lto.cay9c1g 0.800.930.940.970.970.95

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
fbmy5635_rel.cay9c1g39919933989
fbmy8028_rel_native_lto.cay9c1g39919943987
target40020004000

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
fbmy5635_rel.cay9c1g99.7790.2040.0030.0130.117
fbmy8028_rel_native_lto.cay9c1g99.3840.3700.2320.0130.114

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
235294	0	0	0.0	125.4	49.7	0.000	0.000	0.001	0.216	21854	72.2	0.093	25	0.7	1.7	0.3	0.117	70024	17881	20m.fbmy5635_rel.cay9c1g
188679	0	0	0.0	103.7	38.1	0.000	0.000	0.001	0.207	18379	68.2	0.097	29	0.7	2.0	0.7	0.114	53548	400	20m.fbmy8028_rel_native_lto.cay9c1g

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
81707	0	0	0.0	32.1	12.4	0.000	0.000	0.000	0.155	229	12.7	0.003	12	1.4	2.5	1.3	0.008	NA	NA	20m.fbmy5635_rel.cay9c1g
76136	0	0	0.0	29.6	11.5	0.000	0.000	0.000	0.155	373	12.7	0.005	13	1.4	2.6	1.9	0.008	NA	NA	20m.fbmy8028_rel_native_lto.cay9c1g

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
fbmy5635_rel.cay9c1g99.5400.4510.0050.0040.103
fbmy8028_rel_native_lto.cay9c1g99.1200.7570.1170.0060.133

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
85470	0	7	0.8	158.5	64.3	0.000	0.010	0.002	0.770	19439	70.0	0.227	66	3.8	5.5	1.4	0.103	21776	15589	20m.fbmy5635_rel.cay9c1g
80321	0	6	0.8	155.7	60.5	0.000	0.010	0.002	0.772	18091	71.2	0.225	71	3.8	5.7	1.7	0.133	20436	15983	20m.fbmy8028_rel_native_lto.cay9c1g

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
fbmy5635_rel.cay9c1g9.88590.1070.0070.0010.010
fbmy8028_rel_native_lto.cay9c1g6.95893.0280.0130.001nonzero0.019

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
fbmy5635_rel.cay9c1g99.5140.4860.014
fbmy8028_rel_native_lto.cay9c1g99.0970.8540.0490.021

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
399	10530	25	0.3	7.3	1.7	0.002	0.029	0.018	4.319	39663	50.4	3.767	383	2.8	4.7	1.4	0.010	2606	2254	20m.fbmy5635_rel.cay9c1g
399	10251	25	0.3	7.3	1.7	0.002	0.030	0.018	4.346	38914	51.2	3.796	400	2.8	4.9	1.8	0.019	2589	2030	20m.fbmy8028_rel_native_lto.cay9c1g

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
fbmy5635_rel.cay9c1g7.34992.6190.0310.001nonzero0.024
fbmy8028_rel_native_lto.cay9c1g3.57496.3500.0710.005nonzero0.019

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
fbmy5635_rel.cay9c1g98.8421.1470.0110.046
fbmy8028_rel_native_lto.cay9c1g94.0745.7940.1320.062

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
1993	10287	0	0.0	7.3	1.8	0.000	0.000	0.004	0.902	38706	50.9	3.763	396	3.2	3.5	1.4	0.024	2541	2254	20m.fbmy5635_rel.cay9c1g
1994	9972	0	0.0	7.3	1.7	0.000	0.000	0.004	0.870	37741	51.5	3.785	413	3.2	3.6	1.8	0.019	2557	2094	20m.fbmy8028_rel_native_lto.cay9c1g

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
fbmy5635_rel.cay9c1g6.56393.3240.1080.005nonzero0.019
fbmy8028_rel_native_lto.cay9c1g2.37297.4240.1970.008nonzero0.037

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
fbmy5635_rel.cay9c1g86.12613.8060.0690.047
fbmy8028_rel_native_lto.cay9c1g90.3289.5330.1390.061

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
3989	10466	0	0.0	14.9	5.0	0.000	0.000	0.004	1.286	38177	53.6	3.648	410	3.7	4.9	1.4	0.019	2589	2285	20m.fbmy5635_rel.cay9c1g
3987	9915	0	0.0	14.7	4.8	0.000	0.000	0.004	1.234	37126	53.8	3.745	434	3.9	5.3	1.8	0.037	2493	2014	20m.fbmy8028_rel_native_lto.cay9c1g

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
235294	0	0	0.0	125.4	49.7	0.000	0.000	0.001	0.216	21854	72.2	0.093	25	0.7	1.7	0.3	0.117	70024	17881	20m.fbmy5635_rel.cay9c1g
188679	0	0	0.0	103.7	38.1	0.000	0.000	0.001	0.207	18379	68.2	0.097	29	0.7	2.0	0.7	0.114	53548	400	20m.fbmy8028_rel_native_lto.cay9c1g

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
81707	0	0	0.0	32.1	12.4	0.000	0.000	0.000	0.155	229	12.7	0.003	12	1.4	2.5	1.3	0.008	NA	NA	20m.fbmy5635_rel.cay9c1g
76136	0	0	0.0	29.6	11.5	0.000	0.000	0.000	0.155	373	12.7	0.005	13	1.4	2.6	1.9	0.008	NA	NA	20m.fbmy8028_rel_native_lto.cay9c1g

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
85470	0	7	0.8	158.5	64.3	0.000	0.010	0.002	0.770	19439	70.0	0.227	66	3.8	5.5	1.4	0.103	21776	15589	20m.fbmy5635_rel.cay9c1g
80321	0	6	0.8	155.7	60.5	0.000	0.010	0.002	0.772	18091	71.2	0.225	71	3.8	5.7	1.7	0.133	20436	15983	20m.fbmy8028_rel_native_lto.cay9c1g

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
399	10530	25	0.3	7.3	1.7	0.002	0.029	0.018	4.319	39663	50.4	3.767	383	2.8	4.7	1.4	0.010	2606	2254	20m.fbmy5635_rel.cay9c1g
399	10251	25	0.3	7.3	1.7	0.002	0.030	0.018	4.346	38914	51.2	3.796	400	2.8	4.9	1.8	0.019	2589	2030	20m.fbmy8028_rel_native_lto.cay9c1g

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
1993	10287	0	0.0	7.3	1.8	0.000	0.000	0.004	0.902	38706	50.9	3.763	396	3.2	3.5	1.4	0.024	2541	2254	20m.fbmy5635_rel.cay9c1g
1994	9972	0	0.0	7.3	1.7	0.000	0.000	0.004	0.870	37741	51.5	3.785	413	3.2	3.6	1.8	0.019	2557	2094	20m.fbmy8028_rel_native_lto.cay9c1g

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
3989	10466	0	0.0	14.9	5.0	0.000	0.000	0.004	1.286	38177	53.6	3.648	410	3.7	4.9	1.4	0.019	2589	2285	20m.fbmy5635_rel.cay9c1g
3987	9915	0	0.0	14.7	4.8	0.000	0.000	0.004	1.234	37126	53.8	3.745	434	3.9	5.3	1.8	0.037	2493	2014	20m.fbmy8028_rel_native_lto.cay9c1g

l.i0

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.779	0.204	0.003	0.013	0.000	0.000	0.000	0.000	0.117	fbmy5635_rel.cay9c1g
0.000	0.000	99.384	0.370	0.232	0.013	0.000	0.000	0.000	0.000	0.114	fbmy8028_rel_native_lto.cay9c1g

l.x

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


l.i1

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.540	0.451	0.005	0.004	0.000	0.000	0.000	0.000	0.103	fbmy5635_rel.cay9c1g
0.000	0.000	99.120	0.757	0.117	0.006	0.000	0.000	0.000	0.000	0.133	fbmy8028_rel_native_lto.cay9c1g

q100.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
9.885	90.107	0.007	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.010	fbmy5635_rel.cay9c1g
6.958	93.028	0.013	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_native_lto.cay9c1g

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	99.514	0.486	0.000	0.000	0.000	0.000	0.000	0.000	0.014	fbmy5635_rel.cay9c1g
0.000	0.000	99.097	0.854	0.049	0.000	0.000	0.000	0.000	0.000	0.021	fbmy8028_rel_native_lto.cay9c1g

q500.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
7.349	92.619	0.031	0.001	nonzero	0.000	0.000	0.000	0.000	0.000	0.024	fbmy5635_rel.cay9c1g
3.574	96.350	0.071	0.005	nonzero	0.000	0.000	0.000	0.000	0.000	0.019	fbmy8028_rel_native_lto.cay9c1g

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	98.842	1.147	0.011	0.000	0.000	0.000	0.000	0.000	0.046	fbmy5635_rel.cay9c1g
0.000	0.000	94.074	5.794	0.132	0.000	0.000	0.000	0.000	0.000	0.062	fbmy8028_rel_native_lto.cay9c1g

q1000.1

Query response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
6.563	93.324	0.108	0.005	nonzero	0.000	0.000	0.000	0.000	0.000	0.019	fbmy5635_rel.cay9c1g
2.372	97.424	0.197	0.008	nonzero	0.000	0.000	0.000	0.000	0.000	0.037	fbmy8028_rel_native_lto.cay9c1g

Insert response time histogram

256us	1ms	4ms	16ms	64ms	256ms	1s	4s	16s	gt	max	tag
0.000	0.000	86.126	13.806	0.069	0.000	0.000	0.000	0.000	0.000	0.047	fbmy5635_rel.cay9c1g
0.000	0.000	90.328	9.533	0.139	0.000	0.000	0.000	0.000	0.000	0.061	fbmy8028_rel_native_lto.cay9c1g