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
2023-02-24T12:01:29.970338 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
Operations
2023-02-24T12:01:30.039686 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/

Comparision Tables

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

981e0523- âž™ b7daee53-

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,--objects=30000,--obj.size=10MiB) 1.02x 1.02x 1.02x 1.02x

981e0523- âž™ dc2c1c96-

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,--objects=30000,--obj.size=10MiB) 3.56x 3.56x 1.26x 1.26x

b7daee53- âž™ dc2c1c96-

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,--objects=30000,--obj.size=10MiB) 3.50x 3.49x 1.24x 1.24x

Test Environment

suite_id 981e0523-c6e6-4c55-a3ad-90f5d7c6a602 b7daee53-e25e-49f1-95fa-3e5a3bd769c2 dc2c1c96-dd7b-4800-b615-c780dbb1f0bb
name warp-mixed-long warp-mixed-long warp-mixed-long
description Warp mixed 30m Warp mixed 30m Warp mixed 30m
under-test-image-id sha256:a7cab18c4afb6361d110931a3c5eecc6513adb5df73e96296b51e30eddac86be sha256:42abbb7ca545b257cef3be3facbda0ca78b56ee66f0e8f49197ba9e0d627a73d sha256:e9d23c2f0935f01d907b8085e943a6d1937fe76a7aa4d1ef3f41ce57391abea5
under-test-s3gw-version ceph version 8b2689 (28b2689d147334e45f9cd523c82212dc06d30dd9) quincy (dev) ceph version 98558bc (98558bcb98b78e4f22342dab13f20951d1daea00) reef (dev) ceph version 9e26cc7 (9e26cc7fe7f5daf510205794ed0c2707794f375c) reef (dev)
under-test-image-tags quay.io/s3gw/s3gw:latest;quay.io/s3gw/s3gw:v0.10.0 quay.io/s3gw/s3gw:v0.11.0 quay.io/s3gw/s3gw:v0.12.0
avg_test_runtime 86.03164963424206 84.86249953508377 72.5418334454298
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 2023-02-23 12:38:02.120 2023-02-23 14:02:56.055 2023-02-23 10:53:54.711
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 86.0 85.0 73.0
start 2023-02-23 11:12:00.174 2023-02-23 12:38:04.264 2023-02-23 09:41:22.162
test-image-id sha256:46f5017552206225027e3708ee8856dff0d592f11666c8f32ba15285ad02bdfe sha256:46f5017552206225027e3708ee8856dff0d592f11666c8f32ba15285ad02bdfe sha256:46f5017552206225027e3708ee8856dff0d592f11666c8f32ba15285ad02bdfe
test-image-tags minio/warp:latest minio/warp:latest minio/warp:latest
test-warp-version warp version 0.6.6 - d018853 warp version 0.6.6 - d018853 warp version 0.6.6 - d018853

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
981e0523-
2023-02-24T12:01:30.166618 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 13 218 28 22
2023-02-24T12:01:30.324073 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 8 101 15 14
2023-02-24T12:01:30.456423 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 2152 4044 2613 2584
2023-02-24T12:01:30.589783 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 51 3 2
b7daee53-
2023-02-24T12:01:30.722721 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 14 192 28 22
2023-02-24T12:01:30.852173 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 8 105 15 14
2023-02-24T12:01:30.986068 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 2035 3696 2562 2538
2023-02-24T12:01:31.119534 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 59 3 2
dc2c1c96-
2023-02-24T12:01:31.252277 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 2 405 63 54
2023-02-24T12:01:31.425827 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 8 21684 111 103
2023-02-24T12:01:31.556813 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 1535 2903 2018 2012
2023-02-24T12:01:31.687659 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 19259 52 44