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>
The documentation states that the default operator REST service is at port `8080`, but the current default CRD based configuration is `8008`. Changing the default config to match documentation.
* 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
* add tab for monthly costs per cluster
* sync run_local and update version number
* lowering resources
* some Makefile polishing and updated admin docs on UI
* extend admin docs on UI
* add api-service manifest for operator
* set min limits in UI to default min limits of operator
* reflect new UI helm charts in docs
* make cluster name label configurable
* 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
The current implementations for `pkg.util.k8sutil.SameService` considers
only service annotations change on the default annotations created by the
operator. Custom annotations are not compared and consequently not
applied after the first service creation.
This commit introduces a complete annotations comparison between the
current service created by the operator and the new one generated based on
the configs. Also, it adds tests on the above-mentioned function.
The [operator parameters][1] already support the
`custom_service_annotations` config.With this parameter is possible to
define custom annotations that will be used on the services created by the
operator. The `custom_service_annotations` as all the other
[operator parameters][1] are defined on the operator level and do not allow
customization on the cluster level. A cluster may require different service
annotations, as for example, set up different cloud load balancers
timeouts, different ingress annotations, and/or enable more customizable
environments.
This commit introduces a new parameter on the cluster level, called
`serviceAnnotations`, responsible for defining custom annotations just for
the services created by the operator to the specifically defined cluster.
It allows a mix of configuration between `custom_service_annotations` and
`serviceAnnotations` where the latest one will have priority. In order to
allow custom service annotations to be used on services without
LoadBalancers (as for example, service mesh services annotations) both
`custom_service_annotations` and `serviceAnnotations` are applied
independently of load-balancing configuration. For retro-compatibility
purposes, `custom_service_annotations` is still under
[Load balancer related options][2]. The two default annotations when using
LoadBalancer services, `external-dns.alpha.kubernetes.io/hostname` and
`service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout` are
still defined by the operator.
`service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout` can
be overridden by `custom_service_annotations` or `serviceAnnotations`,
allowing a more customizable environment.
`external-dns.alpha.kubernetes.io/hostname` can not be overridden once
there is no differentiation between custom service annotations for
replicas and masters.
It updates the documentation and creates the necessary unit and e2e
tests to the above-described feature too.
[1]: https://github.com/zalando/postgres-operator/blob/master/docs/reference/operator_parameters.md
[2]: https://github.com/zalando/postgres-operator/blob/master/docs/reference/operator_parameters.md#load-balancer-related-options
* add validation for PG resources and volume size
* check resource requests also on UPDATE and SYNC + update docs
* if cluster was running don't error on sync
* 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
This will set up a continuous wal streaming cluster, by adding the corresponding section in postgres manifest. Instead of having a full-fledged standby cluster as in Patroni, here we use only the wal path of the source cluster and stream from there.
Since, standby cluster is streaming from the master and does not require to create or use databases of it's own. Hence, it bypasses the creation of users or databases.
There is a separate sample manifest added to set up a standby-cluster.
Felix Kunde
ReSearchITEng
Dmitry Dolgov
zimbatm
Hengchu Zhang
Jonathan Juares Beber
Vito Botta
Armin Nesiren
Thomas Runyon
Emre Hasegeli
Erik Inge Bolsø
Sergey Dudoladov
Jakub Román
Rafia Sabih
Markus