PR Performance Report

Warp(workload=mixed, args=--duration=30m,--get-distrib=70,--put-distrib=30)

Throughput
2023-01-25T13:02:54.274686 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
Operations
2023-01-25T13:02:54.356071 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/

Comparision Tables

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

9f6aa30f- âž™ ba3f5a5d-

Laptop, LUKS, 0.10.0 âž™ Laptop, LUKS, sqlite-yolo PR

Test
 read-bw-mean
byte/s 		read-iops-mean
ops/s 		write-bw-mean
byte/s 		write-iops-mean
ops/s
Warp(workload=mixed, args=--duration=30m,--get-distrib=70,--put-distrib=30) 1.73x 1.73x 1.73x 1.73x

Test Environment

suite_id 9f6aa30f-75f8-45cd-a631-d8fdf36630a2 ba3f5a5d-c339-437b-941b-6c85fb9d2467
name warp-mixed-long warp-mixed-long
description Laptop, LUKS, 0.10.0 Laptop, LUKS, sqlite-yolo PR
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
under-test-image-tags quay.io/s3gw/s3gw:v0.10.0 localhost/s3gw_ares_release:d1e25de36eb
avg_test_runtime 36.968467086553574 34.64003339409828
disk-model SKHynix_HFS512GD9TNI-L2B0B SKHynix_HFS512GD9TNI-L2B0B
finished 2023-01-24 13:38:10.135 2023-01-24 14:12:49.064
n_tests 1 1
os-release 6.0.12-1-default 6.0.12-1-default
runtime_min 37.0 35.0
start 2023-01-24 13:01:11.968 2023-01-24 13:38:10.618
test-image-id sha256:725dcbfbb215183fcbfa88a651f4076c7324e05ca6f3546141ef6986f4257888 sha256:725dcbfbb215183fcbfa88a651f4076c7324e05ca6f3546141ef6986f4257888
test-image-tags docker.io/minio/warp:latest docker.io/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=70,--put-distrib=30)

Test
9f6aa30f-
2023-01-25T13:02:54.477260 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 15 6473 85 33
2023-01-25T13:02:54.638252 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 6 5178 35 19
2023-01-25T13:02:54.768073 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 2058 9193 3841 3821
2023-01-25T13:02:54.898570 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 4410 15 2
ba3f5a5d-
2023-01-25T13:02:55.028297 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
DELETE 2 6947 107 28
2023-01-25T13:02:55.155196 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
GET 5 6416 75 29
2023-01-25T13:02:55.285039 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
PUT 130 8226 2056 1390
2023-01-25T13:02:55.415670 image/svg+xml Matplotlib v3.6.2, https://matplotlib.org/
op fastest [ms] slowest [ms] avg [ms] median [ms]
STAT 1 3693 24 12