Comments (2)
Im seeing same issue, on centos 7 w 4 CPU cores and 16gb ram ,
copying 6 files, 4 files at 500MB + 2 files at 1GB each
using plain rsync is same as using this wrapper, -j makes no difference
using plain rsync
time rsync -azP /opt/backups qbinfra02:/opt/
sending incremental file list
backups/
backups/testfile1
524,288,000 100% 102.52MB/s 0:00:04 (xfr#1, to-chk=5/7)
backups/testfile2
524,288,000 100% 107.27MB/s 0:00:04 (xfr#2, to-chk=4/7)
backups/testfile3
524,288,000 100% 118.57MB/s 0:00:04 (xfr#3, to-chk=3/7)
backups/testfile4
524,288,000 100% 130.96MB/s 0:00:03 (xfr#4, to-chk=2/7)
backups/testfile5
1,048,576,000 100% 126.60MB/s 0:00:07 (xfr#5, to-chk=1/7)
backups/testfile6
1,048,576,000 100% 124.92MB/s 0:00:08 (xfr#6, to-chk=0/7)
real 0m55.829s
user 0m27.978s
sys 0m0.714s
using wrapper
time prsync -j 8 /opt/backups qbinfra02:/opt/backups
Copying 6 files using 1 jobs!
tmp_dir is /tmp/copy-files-in-parallel/0b6296d8-8b8c-4dd3-8ea9-0b28afd55e02
Computers / CPU cores / Max jobs to run
1:local / 4 / 1
Computer:jobs running/jobs completed/%of started jobs/Average seconds to complete
ETA: 0s Left: 1 AVG: 0.00s local:1/0/100%/0.0s
ETA: 0s Left: 0 AVG: 0.00s local:0/1/100%/55.0s
real 0m55.175s
user 0m32.100s
sys 0m7.839s
from copy-files-in-parallel.
Hi, this repo is more or less unsupported, thus the long delay.
We used the script mainly when we copied millions of files, with different sizes, over an infinband network. We had some improvement over plain rsync there, but I don't have any numbers anymore.
from copy-files-in-parallel.
Related Issues (1)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from copy-files-in-parallel.