Skip to content
forked from jepsen-io/jepsen

Jepsen testing for YugabyteDB database

Notifications You must be signed in to change notification settings

yugabyte/jepsen

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Jepsen

Breaking distributed systems so you don't have to.

Jepsen is a Clojure library. A test is a Clojure program which uses the Jepsen library to set up a distributed system, run a bunch of operations against that system, and verify that the history of those operations makes sense. Jepsen has been used to verify everything from eventually-consistent commutative databases to linearizable coordination systems to distributed task schedulers. It can also generate graphs of performance and availability, helping you characterize how a system responds to different faults. See jepsen.io for examples of the sorts of analyses you can carry out with Jepsen.

Clojars Project Build Status

Design Overview

A Jepsen test runs as a Clojure program on a control node. That program uses SSH to log into a bunch of db nodes, where it sets up the distributed system you're going to test using the test's pluggable os and db.

Once the system is running, the control node spins up a set of logically single-threaded processes, each with its own client for the distributed system. A generator generates new operations for each process to perform. Processes then apply those operations to the system using their clients. The start and end of each operation is recorded in a history. While performing operations, a special nemesis process introduces faults into the system--also scheduled by the generator.

Finally, the DB and OS are torn down. Jepsen uses a checker to analyze the test's history for correctness, and to generate reports, graphs, etc. The test, history, analysis, and any supplementary results are written to the filesystem under store/<test-name>/<date>/ for later review. Symlinks to the latest results are maintained at each level for convenience.

Documentation

This tutorial walks you through writing a Jepsen test from scratch.

For reference, see the API documentation.

An independent translation is available in Chinese.

Setting up a Jepsen Environment

So, you've got a Jepsen test, and you'd like to run it! Or maybe you'd like to start learning how to write tests. You've got several options:

AWS

If you have an AWS account, you can launch a full Jepsen cluster---control and DB nodes---from the AWS Marketplace. Click "Continue to Subscribe", "Continue to Configuration", and choose "CloudFormation Template". You can choose the number of nodes you'd like to deploy, adjust the instance types and disk sizes, and so on. These are full VMs, which means they can test clock skew.

The AWS marketplace clusters come with an hourly fee (generally $1/hr/node), which helps fund Jepsen development.

Docker

You can run a full Jepsen cluster on a single machine using Docker Compose. See the Docker directory for more details. Sadly the Docker platform has been something of a moving target; this environment tends to break in new and exciting ways on various platforms every few months. If you're a Docker whiz and can get this going reliably on Debian & OS X (ideally without breaking the other platform), that's great--pull requests would be a big help.

Like other containers Docker containers don't have real clocks--that means you generally can't use them to test clock skew.

LXC

You can set up your DB nodes as LXC containers, and use your local machine as the control node. See the LXC documentation for guidelines. This might be the easiest setup for hacking on tests: you'll be able to edit source code, run profilers, etc on the local node. Containers don't have real clocks, so you generally can't use them to test clock skew.

VMs, Real Hardware, etc.

You should be able to run Jepsen against almost any machines which have:

  • A TCP network
  • An SSH server
  • Sudo or root access

Each DB node should be accessible from the control node via SSH: you need to be able to run ssh myuser@some-node, and get a shell. By default, DB nodes are named n1, n2, n3, n4, and n5, but that (along with SSH username, password, identity files, etc) is all definable in your test, or at the CLI. The account you use on those boxes needs sudo access to set up DBs, control firewalls, etc.

BE ADVISED: tests may mess with clocks, add apt repos, run killall -9 on processes, and generally break things, so you shouldn't, you know, point Jepsen at your prod machines unless you like to live dangerously, or you wrote the test and know exactly what it's doing.

NOTE: Most Jepsen tests are written with more specific requirements in mind---like running on Debian, using iptables for network manipulation, etc. See the specific test code for more details.

Setting Up Control Nodes

For AWS and Docker installs, your control node comes preconfigured with all the software you'll need to run most Jepsen tests. If you build your own control node (or if you're using your local machine as a control node), you'll need a few things:

  • A JVM---version 1.8 or higher.
  • JNA, so the JVM can talk to your SSH.
  • Leiningen: a Clojure build tool.
  • Gnuplot: how Jepsen renders performance plots.
  • Graphviz: how Jepsen renders transactional anomalies.

On Debian, try:

sudo apt-get install openjdk-8-jre openjdk-8-jre-headless libjna-java gnuplot graphviz

... to get the basic requirements in place. Debian's Leiningen packages are ancient, so download lein from the web instead.

Running a Test

Once you've got everything set up, you should be able to run cd aerospike; lein test, and it'll spit out something like

INFO  jepsen.core - Analysis invalid! (ノಥ益ಥ)ノ ┻━┻

{:valid? false,
 :counter
 {:valid? false,
  :reads
  [[190 193 194]
   [199 200 201]
   [253 255 256]
   ...}}

FAQ

JSCH auth errors

If you see com.jcraft.jsch.JSchException: Auth fail, this means something about your test's :ssh map is wrong, or your control node's SSH environment is a bit weird.

  1. Confirm that you can ssh to the node that Jepsen failed to connect to. Try ssh -v for verbose information--pay special attention to whether it uses a password or private key.
  2. If you intend to use a username and password, confirm that they're specified correctly in your test's :ssh map.
  3. If you intend to log in with a private key, make sure your SSH agent is running.
    • ssh-add -l should show the key you use to log in.
    • If your agent isn't running, try launching one with ssh-agent.
    • If your agent shows no keys, you might need to add it with ssh-add.
    • If you're SSHing to a control node, SSH might be forwarding your local agent's keys rather than using those on the control node. Try ssh -a to disable agent forwarding.

If you've SSHed to a DB node already, you might also encounter a jsch bug which doesn't know how to read hashed known_hosts files. Remove all keys for the DB hosts from your known_hosts file, then:

ssh-keyscan -t rsa n1 >> ~/.ssh/known_hosts
ssh-keyscan -t rsa n2 >> ~/.ssh/known_hosts
ssh-keyscan -t rsa n3 >> ~/.ssh/known_hosts
ssh-keyscan -t rsa n4 >> ~/.ssh/known_hosts
ssh-keyscan -t rsa n5 >> ~/.ssh/known_hosts

to add unhashed versions of each node's hostkey to your ~/.ssh/known_hosts.

SSHJ auth errors

If you get an exception like net.schmizz.sshj.transport.TransportException: Could not verify 'ssh-ed25519' host key with fingerprint 'bf:4a:...' for 'n1' on port 22, but you're sure you've got the keys in your ~/.ssh/known-hosts, this is because (I think) SSHJ tries to verify only the ed25519 key and ignores the RSA key. You can add the ed25519 keys explicitly via:

ssh-keyscan -t ed25519 n1 >> ~/.ssh/known_hosts
...

Other Projects

Additional projects that may be of interest:

  • Jecci: A wrapper framework around Jepsen
  • Porcupine: a linearizability checker written in Go.

About

Jepsen testing for YugabyteDB database

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Clojure 95.2%
  • Python 1.2%
  • Shell 1.2%
  • Erlang 1.0%
  • C 0.7%
  • TLA 0.3%
  • Other 0.4%