Runtime reconfiguration is one of the hardest and most error prone features in a distributed system, especially in a consensus based system like etcd.
Read on to learn about the design of etcd's runtime reconfiguration commands and how we tackled these problems.
In etcd, every runtime reconfiguration has to go through two phases for safety reasons. For example, to add a member you need to first inform cluster of new configuration and then start the new member.
Phase 1 - Inform cluster of new configuration
To add a member into etcd cluster, you need to make an API call to request a new member to be added to the cluster. And this is only way that you can add a new member into an existing cluster. The API call returns when the cluster agrees on the configuration change.
Phase 2 - Start new member
To join the etcd member into the existing cluster, you need to specify the correct initial-cluster and set initial-cluster-state to existing. When the member starts, it will contact the existing cluster first and verify the current cluster configuration matches the expected one specified in initial-cluster. When the new member successfully starts, you know your cluster reached the expected configuration.
By splitting the process into two discrete phases users are forced to be explicit regarding cluster membership changes. This actually gives users more flexibility and makes things easier to reason about. For example, if there is an attempt to add a new member with the same ID as an existing member in an etcd cluster, the action will fail immediately during phase one without impacting the running cluster. Similar protection is provided to prevent adding new members by mistake. If a new etcd member attempts to join the cluster before the cluster has accepted the configuration change,, it will not be accepted by the cluster.
Without the explicit workflow around cluster membership etcd would be vulnerable to unexpected cluster membership changes. For example, if etcd is running under an init system such as systemd, etcd would be restarted after being removed via the membership API, and attempt to rejoin the cluster on startup. This cycle would continue every time a member is removed via the API and systemd is set to restart etcd after failing, which is unexpected.
We think runtime reconfiguration should be a low frequent operation. We made the decision to keep it explicit and user-driven to ensure configuration safety and keep your cluster always running smoothly under your control.
If a cluster permanently loses a majority of its members, a new cluster will need to be started from an old data directory to recover the previous state.
It is entirely possible to force removing the failed members from the existing cluster to recover. However, we decided not to support this method since it bypasses the normal consensus committing phase, which is unsafe. If the member to remove is not actually dead or you force to remove different members through different members in the same cluster, you will end up with diverged cluster with same clusterID. This is very dangerous and hard to debug/fix afterwards.
If you have a correct deployment, the possibility of permanent majority lose is very low. But it is a severe enough problem that worth special care. We strongly suggest you to read the disaster recovery documentation and prepare for permanent majority lose before you put etcd into production.
The public discovery service should only be used for bootstrapping a cluster. To join member into an existing cluster, you should use runtime reconfiguration API.
Discovery service is designed for bootstrapping an etcd cluster in the cloud environment, when you do not know the IP addresses of all the members beforehand. After you successfully bootstrap a cluster, the IP addresses of all the members are known. Technically, you should not need the discovery service any more.
It seems that using public discovery service is a convenient way to do runtime reconfiguration, after all discovery service already has all the cluster configuration information. However relying on public discovery service brings troubles:
-
it introduces a external dependencies for the entire life-cycle of your cluster, not just bootstrap time. If there is a network issue between your cluster and public discover service, your cluster will suffer from it.
-
public discovery service must reflect correct runtime configuration of your cluster during it life-cycle. It has to provide security mechanism to avoid bad actions, and it is hard.
-
public discovery service has to keep tens of thousands of cluster configurations. Our public discovery service backend is not ready for that workload.
If you want to have a discovery service that supports runtime reconfiguration, the best choice is to build your private one.