PR Performance Report

Warp(workload=mixed, args=--duration=30m,--get-distrib=45,--stat-distrib=30,--put-distrib=15,--delete-distrib=10)

Throughput
2023-01-26T10:25:26.694393 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
Operations
2023-01-26T10:25:26.753859 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/

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

Throughput
2023-01-26T10:25:26.811417 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
Operations
2023-01-26T10:25:26.869383 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/

Comparision Tables

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

756e3dd4- âž™ 9e6e2330-

Warp mixed 30m âž™ Warp mixed 30m

Test
 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) 1.27x 1.27x 1.27x 1.27x
Warp(workload=mixed, args=--duration=30m,--get-distrib=45,--stat-distrib=30,--put-distrib=15,--delete-distrib=10,--objects=30000,--obj.size=10MiB) 1.27x 1.27x 1.27x 1.27x

Test Environment

name warp-mixed-long warp-mixed-long
description Warp mixed 30m Warp mixed 30m
suite_id 756e3dd4-f061-44a4-87b1-6132d6b26bf0 9e6e2330-5293-428e-b4f2-62ac3f1fab83
under-test-image-tags quay.io/s3gw/s3gw:latest;quay.io/s3gw/s3gw:v0.10.0 localhost/s3gw_ares_release:d1e25de36eb
under-test-s3gw-version ceph version 8b2689 (28b2689d147334e45f9cd523c82212dc06d30dd9) quincy (dev) ceph version 3gw-v0.10.0-4-gd1e25de36eb (d1e25de36eb97138377d1a63c03d1e0fcf82816c) quincy (dev)
under-test-image-id sha256:a7cab18c4afb6361d110931a3c5eecc6513adb5df73e96296b51e30eddac86be sha256:3fd7edc2b2519164e5271825d163566bf3aae0b3d4f4c2b4e1358bd757aeb108
avg_test_runtime 56.529408395290375 49.71736662089825
cpu-count 8 8
cpu-model 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
finished 2023-01-25 17:23:22.057 2023-01-25 19:02:49.118
memtotalkb 65666640 65666640
n_tests 2 2
node-name ares ares
os-release 5.14.21-150400.22-default 5.14.21-150400.22-default
runtime_min 113.0 99.0
start 2023-01-25 15:30:18.473 2023-01-25 17:23:22.982
test-image-id sha256:725dcbfbb215183fcbfa88a651f4076c7324e05ca6f3546141ef6986f4257888 sha256:725dcbfbb215183fcbfa88a651f4076c7324e05ca6f3546141ef6986f4257888
test-image-tags minio/warp:latest minio/warp:latest
test-warp-version warp version 0.6.5 - aa8baed warp version 0.6.5 - aa8baed

Latency Graphs

Warp(workload=mixed, args=--duration=30m,--get-distrib=45,--stat-distrib=30,--put-distrib=15,--delete-distrib=10)

Test
756e3dd4-
2023-01-26T10:25:26.988767 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 10 269 18 15
2023-01-26T10:25:27.138764 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 6 173 10 9
2023-01-26T10:25:27.272393 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 1650 3347 2001 1986
2023-01-26T10:25:27.406145 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 88 2 2
9e6e2330-
2023-01-26T10:25:27.539469 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 2 110 26 24
2023-01-26T10:25:27.669916 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 6 339 19 18
2023-01-26T10:25:27.804339 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 1170 2126 1516 1502
2023-01-26T10:25:27.938061 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 74 10 10

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

Test
756e3dd4-
2023-01-26T10:25:28.117249 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 11 227 28 21
2023-01-26T10:25:28.244877 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 6 134 13 11
2023-01-26T10:25:28.376131 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 1865 3634 2270 2241
2023-01-26T10:25:28.507735 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 81 3 2
9e6e2330-
2023-01-26T10:25:28.638375 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 2 109 26 26
2023-01-26T10:25:28.766130 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 6 159 18 17
2023-01-26T10:25:28.897531 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 1261 3644 1748 1740
2023-01-26T10:25:29.029280 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 49 8 7