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 [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
* Change error computation on JSON Unmarshall
The [Unmarshall function][1] on the encoding/JSON default library returns
different errors for different go versions. On Go 1.12, the version used
currently on the CI system it returns `json: cannot unmarshal number into
Go struct field PostgresSpec.teamId of type string`. On Go 1.13.5 it
returns `json: cannot unmarshal number into Go struct field
PostgresSpec.spec.teamId of type string`. The new version includes more
details of the whole structure being unmarshelled.
This commit introduces the same error but one level deeper on the JSON
structure. It creates consistency across different Go versions.
[1]: https://godoc.org/encoding/json#Unmarshal
* Create subtests on table test scenarios
The Run method of T allows defining subtests creating hierarchical tests.
It provides better visibility of tests in case of failure. More
details on https://golang.org/pkg/testing/.
This commit converts each test scenario on
pkg/apis/acid.zalan.do/v1/util_test.go to subtests, providing a better
visibility and the debugging environment when working with tests. The
following code snippet shows an error during test execution with
subtests:
```
--- FAIL: TestUnmarshalMaintenanceWindow (0.00s)
--- FAIL: TestUnmarshalMaintenanceWindow/expect_error_as_'From'_is_later_than_'To' (0.00s)
```
It included a `about` field on test scenarios describing the test
purpose and/or it expected output. When a description was provided with
comments it was moved to the about field.
* 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
* And attempt to build with modules and remove glide
* new tools.go file to get code-generator dependency + updated codegen + remove Glide files and update docs
* 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.
* StatefulSet fsGroup config option to allow non-root spilo
* Allow Postgres CRD to overide SpiloFSGroup of the Operator.
* Document FSGroup of a Pod cannot be changed after creation.
* 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.
Override clone s3 bucket path
Add possibility to use a custom s3 bucket path for cloning a cluster
from an arbitrary bucket (e.g. from another k8s cluster). For that
a new config options is introduced `s3_wal_path`, that should point
to a location that spilo would understand.
* turns PostgresStatus type into a struct with field PostgresClusterStatus
* setStatus patch target is now /status subresource
* unmarshalling PostgresStatus takes care of previous status field convention
* new simple bool functions status.Running(), status.Creating()
* 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
Add possibility to mount a tmpfs volume to /dev/shm to avoid issues like
[this](https://github.com/docker-library/postgres/issues/416). To achieve that
two new options were introduced:
* `enableShmVolume` to PostgreSQL manifest, to specify whether or not mount
this volume per database cluster
* `enable_shm_volume` to operator configuration, to specify whether or not mount
per operator.
The first one, `enableShmVolume` takes precedence to allow us to be more flexible.
Felix Kunde
Dmitry Dolgov
zimbatm
grantlanglois
Fredrik Østrem
Jonathan Juares Beber
Vito Botta
Armin Nesiren
Thomas Runyon
Rafia Sabih
Markus
Maxim Ivanov
teuto.net Netzdienste GmbH
Aaron Miller
Erik Inge Bolsø
Sergey Dudoladov
Vineeth Reddy
Stephane T