There used to be a masterLess flag that was supposed to indicate whether the cluster it belongs to runs without the acting master by design. At some point, as we didn't really have support for such clusters, the flag has been misused to indicate there is no master in the cluster. However, that was not done consistently (a cluster without all pods running would never be masterless, even when the master is not among the running pods) and it was based on the wrong assumption that the masterless cluster will remain masterless until the next attempt to change that flag, ignoring the possibility of master coming up or some node doing a successful promotion. Therefore, this PR gets rid of that flag completely.
When the cluster is running with 0 instances, there is obviously no master and it makes no sense to create any database objects inside the non-existing master. Therefore, this PR introduces an additional check for that.
recreatePods were assuming that the roles of the pods recorded when the function has stared will not change; for instance, terminated replica pods should start as replicas. Revisit that assumption by looking at the actual role of the re-spawned pods; that avoids a failover if some replica has promoted to the master role while being re-spawned. In addition, if the failover from the old master was unsuccessful, we used to stop and leave the old master running on an old pod, without recording this fact anywhere. This PR makes the failover failure emit a warning, but not stop recreating the last master pod; in the worst case, the running master will be terminated, however, this case is rather unlikely one.
As a side effect, make waitForPodLabel return the pod definition it waited for, avoiding extra API calls in recreatePods and movePodFromEndOfLifeNode
Avoid migrating replica pods, since they will be handled by the
node draining anyway (the PDB specifies that only masters are to
be kept).
Allow migration of the single-pod clusters.
* Trigger the node migration on the lack of the readiness label.
* Examine the node's readiness status on node add.
Make sure we don't miss the not ready node, especially when the
operator is killed during the migration.
Previously, the operator started to move the pods off the nodes to be
decomissioned by watching the eol_node_label value. Every new postgres
pod has been created with the anti-affinity to that label, making sure
that the pods being moved won't land on another to be decomissioned
node.
The changes introduce another label that indicates the ready node. The
new pod affinity will esnure that the pod is only scheduled to the node
marked as ready, discarding the previous anti-affinity. That way the
nodes can transition from the pending-decomission to the other statuses
(drained, terminating) without having pods suddently scaled to them.
In addition, rename the label that triggers the start of the upgrade
process to node_eol_label (for consistency with node_readiness_label)
and set its default vvalue to lifecycle-status:pending-decomission.
* client-go v4.0.0-beta0
* remove unnecessary methods for tpr object
* rest client: use interface instead of structure pointer
* proper names for constants; some clean up for log messages
* remove teams api client from controller and make it per cluster
In order to support volumes different from EBS and filesystems other than EXT2/3/4 the respective code parts were implemented as interfaces. Adding the new resize for the volume or the filesystem will require implementing the interface, but no other changes in the cluster code itself.
Volume resizing first changes the EBS and the filesystem, and only afterwards is reflected in the Kubernetes "PersistentVolume" object. This is done deliberately to be able to check if the volume needs resizing by peeking at the Size of the PersistentVolume structure. We recheck, nevertheless, in the EBSVolumeResizer, whether the actual EBS volume size doesn't match the spec, since call to the AWS ModifyVolume is counted against the resize limit of once every 6 hours, even for those calls that shouldn't result in an actual resize (i.e. when the size matches the one for the running volume).
As a collateral, split the constants into multiple files, move the volume code into a separate file and fix minor issues related to the error reporting.
Run operations concerning multiple clusters in parallel. Each cluster gets its
own worker in order to create, update, sync or delete clusters. Each worker
acquires the lock on a cluster. Subsequent operations on the same cluster
have to wait until the current one finishes. There is a pool of parallel
workers, configurable with the `workers` parameter in the configmap and set by
default to 4. The cluster-related tasks are assigned to the workers based on
a cluster name: the tasks for the same cluster will be always assigned to the
same worker. There is no blocking between workers, although there is a chance
that a single worker will become a bottleneck if too many clusters are
assigned to it; therefore, for large-scale deployments it might be necessary
to bump up workers from the default value.
Conceptually, the operator's task is just to change the pod. As it
has no influence over the role the pod will take (either the master
or a replica), it shouldn't wait for the specific role.
This fixes at least one issue, where the pod running in a single-pod
cluster has been waited for forever by the operator expecting it to
have a wrong role (since Patroni callback assiging it the original
replica role has been killed after a quick promote by the next
callback.)
* move statefulset creation from cluster spec to the separate function
* sync cluster state with desired state;
* move out from arrays for cluster resources;
* recreate pods instead of deleting them in case of statefulset change
* check for master while creating cluster/updating pods
* simplify retryutil
* list pvc while listing resources
* name kubernetes resources with capital letter
* do rolling update in case of env variables change
introduce Pod events channel;
add parsing of the MaintenanceWindows section;
skip deleting Etcd key on cluster delete;
use external etcd host;
watch for tpr/pods in the namespace of the operator pod only;