Introduction

Development Status

Patroni is in active development and accepts contributions. See our Contributing section below for more details.

We report new releases information here .

Technical Requirements/Installation

Go here for guidance on installing and upgrading Patroni on various platforms.

Planning the Number of PostgreSQL Nodes

Patroni/PostgreSQL nodes are decoupled from DCS nodes (except when Patroni implements RAFT on its own) and therefore there is no requirement on the minimal number of nodes. Running a cluster consisting of one primary and one standby is perfectly fine. You can add more standby nodes later.

Running and Configuring

The following section assumes Patroni repository as being cloned from https://github.com/zalando/patroni . Namely, you will need example configuration files postgres0.yml and postgres1.yml . If you installed Patroni with pip, you can obtain those files from the git repository and replace ./patroni.py below with patroni command.

To get started, do the following from different terminals:

> etcd --data-dir=data/etcd --enable-v2=true
> ./patroni.py postgres0.yml
> ./patroni.py postgres1.yml

You will then see a high-availability cluster start up. Test different settings in the YAML files to see how the cluster’s behavior changes. Kill some of the components to see how the system behaves.

Add more postgres*.yml files to create an even larger cluster.

Patroni provides an HAProxy configuration, which will give your application a single endpoint for connecting to the cluster’s leader. To configure, run:

> haproxy -f haproxy.cfg

> psql --host 127.0.0.1 --port 5000 postgres

YAML Configuration

Go here for comprehensive information about settings for etcd, consul, and ZooKeeper. And for an example, see postgres0.yml .

Environment Configuration

Go here for comprehensive information about configuring(overriding) settings via environment variables.

Replication Choices

Patroni uses Postgres’ streaming replication, which is asynchronous by default. Patroni’s asynchronous replication configuration allows for maximum_lag_on_failover settings. This setting ensures failover will not occur if a follower is more than a certain number of bytes behind the leader. This setting should be increased or decreased based on business requirements. It’s also possible to use synchronous replication for better durability guarantees. See replication modes documentation for details.

Applications Should Not Use Superusers

When connecting from an application, always use a non-superuser. Patroni requires access to the database to function properly. By using a superuser from an application, you can potentially use the entire connection pool, including the connections reserved for superusers, with the superuser_reserved_connections setting. If Patroni cannot access the Primary because the connection pool is full, behavior will be undesirable.

Testing Your HA Solution

Testing an HA solution is a time consuming process, with many variables. This is particularly true considering a cross-platform application. You need a trained system administrator or a consultant to do this work. It is not something we can cover in depth in the documentation.

That said, here are some pieces of your infrastructure you should be sure to test:

• Network (the network in front of your system as well as the NICs [physical or virtual] themselves)

• Disk IO

• file limits (nofile in Linux)

• RAM. Even if you have oomkiller turned off, the unavailability of RAM could cause issues.

• CPU

• Virtualization Contention (overcommitting the hypervisor)

• Any cgroup limitation (likely to be related to the above)

• kill -9 of any postgres process (except postmaster!). This is a decent simulation of a segfault.

One thing that you should not do is run kill -9 on a postmaster process. This is because doing so does not mimic any real life scenario. If you are concerned your infrastructure is insecure and an attacker could run kill -9 , no amount of HA process is going to fix that. The attacker will simply kill the process again, or cause chaos in another way.