Connection pooler support
Add support for a connection pooler. The idea is to make it generic enough to
be able to switch between different implementations (e.g. pgbouncer or
odyssey). Operator needs to create a deployment with pooler and a service for
it to access.
For connection pool to work properly, a database needs to be prepared by
operator, namely a separate user have to be created with an access to an
installed lookup function (to fetch credential for other users).
This setups is supposed to be used only by robot/application users. Usually a
connection pool implementation is more CPU bounded, so it makes sense to create
several pods for connection pool with more emphasize on cpu resources. At the
moment there are no special affinity or tolerations assigned to bring those
pods closer to the database. For availability purposes minimal number of
connection pool pods is 2, ideally they have to be distributed between
different nodes/AZ, but it's not enforced in the operator itself. Available
configuration supposed to be ergonomic and in the normal case require minimum
changes to a manifest to enable connection pool. To have more control over the
configuration and functionality on the pool side one can customize the
corresponding docker image.
Co-authored-by: Felix Kunde <felix-kunde@gmx.de>
* bump version to 1.4.0 + some polishing
* align version for UI chart
* update user docs to warn for standby replicas
* minor log message changes for RBAC resources
* define postgres-pod clusterrole and align rbac in chart
* align UI chart rbac with operator and update doc
* operator RBAC needs podsecuritypolicy to grant it to postgres-pod
* add CRD manifests with validation
* update documentation
* patroni slots is not an array but a nested hash map
* make deps call tools
* cover validation in docs and export it in crds.go
* add toggle to disable creation of CRD validation and document it
* use templated service account also for CRD-configured helm deployment
* Added possibility to add custom annotations to LoadBalancer service.
* Added parameters for custom endpoint, access and secret key for logical backup.
* Modified dump.sh so it knows how to handle new features. Configurable S3 SSE
* align config map, operator config, helm chart values and templates
* follow helm chart conventions also in CRD templates
* split up values files and add comments
* avoid yaml confusion in postgres manifests
* bump spilo version and use example for logical_backup_s3_bucket
* add ConfigTarget switch to values
* database.go: substitute hardcoded .svc.cluster.local dns suffix with config parameter
Use the pod's configured dns search path, for clusters where .svc.cluster.local is not correct.
* Config option to allow Spilo container to run non-privileged.
Runs non-privileged by default.
Fixes#395
* add spilo_privileged to manifests/configmap.yaml
* add spilo_privileged to helm chart's values.yaml
* Minor improvements
* Document empty list vs null for users without privileges
* Change the wording for null values
* Add talk by Oleksii in Atmosphere
* Bump up a Spilo version to use Patroni >= v1.4.4 ; this fixes issues with k8s 1.10 API changes
* Bump up an operator version to use the new 'etcd_host' default value
* Re-use 'zalando-postgres-operator' as a pod service account and add extra RBAC permissions to make it work
* Document in quickstart connecting to Postgres via psql
The node_eol_label is obsolete and not used.
The node_readiness_label, if set, will prevent scheduling pods on the node without that label, by default minikube doesn't set any label on the node.
Previously, it was set to the lifecycle-status:ready, breaking a
lot of minikube deployments. Also it was not possible befor to run
with this label set to an empty value.
Document the effect of the label in the new section of the
documentation.
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.
Felix Kunde
Dmitry Dolgov
Vito Botta
Armin Nesiren
Thomas Runyon
Erik Inge Bolsø
Sergey Dudoladov
Markus
Aaron Miller
Jan Mussler
Oleksii Kliukin
Sergey Dudoladov