PR Performance Report

Warp(workload=mixed, args=--duration=30m,--get-distrib=45,--stat-distrib=30,--put-distrib=15,--delete-distrib=10,--objects=30000,--obj.size=10MiB)

Throughput
2023-06-13T10:32:10.775663 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
Operations
2023-06-13T10:32:10.896246 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/

Comparision Tables

> 1 faster, = 1 no change, < 1 slower, > 1.3x 😎

a83c384b- âž™ 397f4603-

Warp mixed 30m âž™ Warp mixed 30m

Test
 delete-bw-mean
byte/s 		delete-iops-mean
iops 		read-bw-mean
byte/s 		read-iops-mean
iops 		write-bw-mean
byte/s 		write-iops-mean
iops
Warp(workload=mixed, args=--duration=30m,--get-distrib=45,--stat-distrib=30,--put-distrib=15,--delete-distrib=10,--objects=30000,--obj.size=10MiB) - 1.00x 1.00x 1.00x 1.01x 1.01x

a83c384b- âž™ e6283b19-

Warp mixed 30m âž™ Warp mixed 30m

Test
 delete-bw-mean
byte/s 		delete-iops-mean
iops 		read-bw-mean
byte/s 		read-iops-mean
iops 		write-bw-mean
byte/s 		write-iops-mean
iops
Warp(workload=mixed, args=--duration=30m,--get-distrib=45,--stat-distrib=30,--put-distrib=15,--delete-distrib=10,--objects=30000,--obj.size=10MiB) - 1.18x 1.18x 1.18x 1.02x 1.02x

397f4603- âž™ e6283b19-

Warp mixed 30m âž™ Warp mixed 30m

Test
 delete-bw-mean
byte/s 		delete-iops-mean
iops 		read-bw-mean
byte/s 		read-iops-mean
iops 		write-bw-mean
byte/s 		write-iops-mean
iops
Warp(workload=mixed, args=--duration=30m,--get-distrib=45,--stat-distrib=30,--put-distrib=15,--delete-distrib=10,--objects=30000,--obj.size=10MiB) - 1.18x 1.18x 1.18x 1.01x 1.01x

Test Environment

description Warp mixed 30m Warp mixed 30m Warp mixed 30m
suite_id a83c384b-630c-4479-9bf0-3436c9c570f5 397f4603-8a40-43ee-95ac-860a6a450020 e6283b19-3602-4e12-977e-b8d8d9ab3494
name warp-mixed-long warp-mixed-long warp-mixed-long
under-test-image-tags quay.io/s3gw/s3gw:v0.15.0 quay.io/s3gw/s3gw:v0.16.0 quay.io/s3gw/s3gw:v0.17.0
under-test-s3gw-version ceph version Development (no_version) reef (dev) ceph version Development (no_version) reef (dev) ceph version Development (no_version) reef (dev)
under-test-image-id sha256:c9f4cce439d8fab01d4b893ae8c789da378f76d720a85d4c151405a11e6615a4 sha256:a291e837ab02b144d01c2e14cc4b02eb53f7921de491bdce1b126d94ae1b30e3 sha256:73d706b7ee89ab0c28f7929b6810067431c7a9982e87b576ecc60cf9071b8d0f
avg_test_runtime 42.146716341376305 42.06588327884674 42.101683393120766
cpu-count 8 8 8
cpu-model Intel(R) Xeon(R) CPU E3-1260L v5 @ 2.90GHz Intel(R) Xeon(R) CPU E3-1260L v5 @ 2.90GHz Intel(R) Xeon(R) CPU E3-1260L v5 @ 2.90GHz
disk-model INTEL SSDPED1K375GA INTEL SSDPED1K375GA INTEL SSDPED1K375GA
finished 2023-06-12 12:13:43.321 2023-06-12 12:55:50.434 2023-06-12 13:37:59.588
memtotalkb 65666824 65666824 65666824
n_tests 1 1 1
node-name ares ares ares
os-release 5.14.21-150400.24.41-default 5.14.21-150400.24.41-default 5.14.21-150400.24.41-default
runtime_min 42.0 42.0 42.0
start 2023-06-12 11:31:34.464 2023-06-12 12:13:46.438 2023-06-12 12:55:53.444
test-image-id sha256:61337af0371255be3fa7c64c7633a59ddebc388c4b2ff39aab9f24ba17afd4af sha256:61337af0371255be3fa7c64c7633a59ddebc388c4b2ff39aab9f24ba17afd4af sha256:61337af0371255be3fa7c64c7633a59ddebc388c4b2ff39aab9f24ba17afd4af
test-image-tags minio/warp:latest minio/warp:latest minio/warp:latest
test-warp-version warp version 0.7.1 - 5821379 warp version 0.7.1 - 5821379 warp version 0.7.1 - 5821379

Latency Graphs

Warp(workload=mixed, args=--duration=30m,--get-distrib=45,--stat-distrib=30,--put-distrib=15,--delete-distrib=10,--objects=30000,--obj.size=10MiB)

Test
a83c384b-
2023-06-13T10:32:11.153693 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 27 2966 174 167
2023-06-13T10:32:11.446660 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 67 3824 264 255
2023-06-13T10:32:11.669526 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 135 1065 288 280
2023-06-13T10:32:11.896734 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 45 4153 231 223
397f4603-
2023-06-13T10:32:12.147024 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 25 2502 174 166
2023-06-13T10:32:12.414349 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 60 4007 263 254
2023-06-13T10:32:12.672224 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 150 682 285 276
2023-06-13T10:32:12.896711 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 47 3287 230 221
e6283b19-
2023-06-13T10:32:13.139750 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 18 24805 134 123
2023-06-13T10:32:13.449710 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 46 32911 229 216
2023-06-13T10:32:13.678973 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 136 555 280 272
2023-06-13T10:32:13.912116 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 36 26725 165 151