nickva commented on PR #5625:
URL: https://github.com/apache/couchdb/pull/5625#issuecomment-3216239859
> Nice work! Is there a break even point where things get worser? Can you
run those tests on smaller clusters too?
@big-r81 I found a 3 node cluster with 64Gb of ram each. Since it's a
smaller cluster I ran with Q=16.
```
const db = 'k6db'
const q = '16'
const batch_size = 1000;
const doc_size = 64;
const dbs = 1
const docs = 1000000;
```
With the same k6 script as above
#### MAIN ####
```
HTTP
http_req_duration..............: avg=1.52s min=4.5ms med=1.51s
max=7.29s p(90)=3.02s p(95)=3.18s
{ expected_response:true }...: avg=1.52s min=4.5ms med=1.51s
max=7.29s p(90)=3.02s p(95)=3.18s
{ name:bulk_docs }...........: avg=90.65ms min=72.39ms med=89.05ms
max=543.13ms p(90)=100.43ms p(95)=103.92ms
{ name:get_doc }.............: avg=2.15s min=4.5ms med=2.65s
max=7.29s p(90)=3.26s p(95)=3.39s
{ name:post_doc }............: avg=989.49ms min=13.98ms med=826.58ms
max=3.35s p(90)=2.05s p(95)=2.33s
{ name:put_doc }.............: avg=1.44s min=10.49ms med=1.68s
max=3.46s p(90)=2.51s p(95)=2.67s
http_req_failed................: 0.17% 5672 out of 3237326
http_reqs......................: 3237326 4353.793364/s
EXECUTION
iteration_duration.............: avg=5.59s min=1.07s med=6.41s
max=9.72s p(90)=7.85s p(95)=8.06s
iterations.....................: 1078774 1450.81437/s
vus............................: 0 min=0 max=10000
vus_max........................: 10000 min=10000 max=10000
NETWORK
data_received..................: 2.1 GB 2.8 MB/s
data_sent......................: 596 MB 801 kB/s
running (12m23.6s), 00000/10000 VUs, 1078774 complete and 0 interrupted
iterations
```
#### PR ####
```
HTTP
http_req_duration..............: avg=1.1s min=3.53ms med=1.07s
max=4.71s p(90)=2s p(95)=2.16s
{ expected_response:true }...: avg=1.1s min=3.53ms med=1.07s
max=4.71s p(90)=1.99s p(95)=2.16s
{ name:bulk_docs }...........: avg=74.84ms min=63.94ms med=72.57ms
max=393.01ms p(90)=82.32ms p(95)=85.67ms
{ name:get_doc }.............: avg=624.54ms min=3.53ms med=664.09ms
max=4.03s p(90)=1.24s p(95)=1.35s
{ name:post_doc }............: avg=1.12s min=13.98ms med=1.01s
max=4.71s p(90)=1.9s p(95)=2.09s
{ name:put_doc }.............: avg=1.55s min=17.55ms med=1.65s
max=4.67s p(90)=2.18s p(95)=2.29s
http_req_failed................: 0.14% 5896 out of 4179620
http_reqs......................: 4179620 5757.994289/s
EXECUTION
iteration_duration.............: avg=4.31s min=1.09s med=4.67s
max=8.41s p(90)=5.25s p(95)=5.41s
iterations.....................: 1392872 1918.870381/s
vus............................: 1699 min=0 max=10000
vus_max........................: 10000 min=10000 max=10000
NETWORK
data_received..................: 2.7 GB 3.7 MB/s
data_sent......................: 738 MB 1.0 MB/s
running (12m05.9s), 00000/10000 VUs, 1392872 complete and 0 interrupted
iterations
```
```
{
"full": {
"value": 0,
"type": "counter",
"desc": "number of times bt_engine cache was full"
},
"hits": {
"value": 10302337,
"type": "counter",
"desc": "number of bt_engine cache hits"
},
"misses": {
"value": 2212648,
"type": "counter",
"desc": "number of bt_engine cache misses"
}
}
```
It held up pretty well. The metric graphs show improvements in throughput,
latency and rate of requests:
<img width="836" height="665" alt="btree_3node_cluster"
src="https://github.com/user-attachments/assets/10cda272-2e28-4cf9-afc9-8cfd439a6b84";
/>
(The first grey bump is the bulk_load phase)
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