Kenshin: A time-series database alternative to Graphite Whisper with 40x improvement in IOPS
Kenshin project consists of two major components:
Kenshinis a fixed-size time-series database format, similar in design to Whisper, it's an alternative to Whisper for Graphite storage component. Whisper performs lots of tiny I/O operations on lots of different files, Kenshin is aiming to improve the I/O performance. For more design details please refer to design docs (Chinese) and QCon 2016 Presentation slide.
Rurouni-cacheis a storage agent that sits in front of kenshin to batch up writes to files to make them more sequential, rurouni-cache is to kenshin as carbon-cache is to whisper.
Kenshin is developing and maintaining by Douban Inc. Currently, it is working in production environment, powering all metrics (host, service, DAE app, user defined) in douban.com.
In our environment, after using Kenshin, the IOPS is decreased by 97.5%, and the query latency is not significantly slower than Whisper.
We recommend using virtualenv when installing dependencies:
$ git clone https://github.com/douban/Kenshin.git $ cd Kenshin $ virtualenv venv $ source venv/bin/activate $ pip install -r requirements.txt
Tests can be run using nosetests:
$ nosetests -v
$ python setup.py build_ext --inplace && python setup.py install
Start two rurouni-cache instances
$ python bin/rurouni-cache.py --debug --config=conf/rurouni.conf --instance=0 start $ python bin/rurouni-cache.py --debug --config=conf/rurouni.conf --instance=1 start
Then go to Graphite-Kenshin for starting Web instances.
Whisper is great, and initially we did use it. Over time though, we ran into several issues:
The reason I didn't simply submit a patch for Whisper is that kenshin's design is incompatible with Whisper's design. Whisper using one file per metric. Kenshin on the other hand merge N metrics into one file.
We use write a plugin for Graphite-API named Graphite-Kenshin
Kenshin is licensed under version 2.0 of the Apache License. See the LICENSE file for details.