- remove codacy steps: they removed legacy organizations and there seems to be no easy way of installing codacy app to the Zalando GH.
- Don't run behave on MacOS: recently worker became way to slow
- Disable behave for combination of kubernetes and python 2.7
- Remove python 3.5 (it will be removed by GH from workers in January) and add 3.10
- Run behave with 3.6 and 3.9 instead of 3.5 and 3.8
PostgreSQL 14 changed the behavior of replicas when certain parameters (like for example `max_connections`) are changed (increased): https://github.com/postgres/postgres/commit/15251c0a.
Instead of immediately exiting Postgres 14 pauses replication and waits for actions from the operator.
Since the `pg_is_wal_replay_paused()` returning `True` is the only indicator of such a change, Patroni on the replica will call the `pg_wal_replay_resume()`, which would cause either continue replication or shutdown (like previously).
So far Patroni was never calling `pg_wal_replay_resume()` on its own, therefore, to remain backward compatible it will call it only for PostgreSQL 14+.
and run raft behave tests with encryption enabled.
Using the new `pysyncobj` release allowed us to get rid of a lot of hacks with accessing private properties and methods of the parent class and reduce the size of the `raft.py`.
Close https://github.com/zalando/patroni/issues/1746
Effectively, this PR consists of a few changes:
1. The easy part:
In case of permanent logical slots are defined in the global configuration, Patroni on the primary will not only create them, but also periodically update DCS with the current values of `confirmed_flush_lsn` for all these slots.
In order to reduce the number of interactions with DCS the new `/status` key was introduced. It will contain the json object with `optime` and `slots` keys. For backward compatibility the `/optime/leader` will be updated if there are members with old Patroni in the cluster.
2. The tricky part:
On replicas that are eligible for a failover, Patroni creates the logical replication slot by copying the slot file from the primary and restarting the replica. In order to copy the slot file Patroni opens a connection to the primary with `rewind` or `superuser` credentials and calls `pg_read_binary_file()` function.
When the logical slot already exists on the replica Patroni periodically calls `pg_replication_slot_advance()` function, which allows moving the slot forward.
3. Additional requirements:
In order to ensure that primary doesn't cleanup tuples from pg_catalog that are required for logical decoding, Patroni enables `hot_standby_feedback` on replicas with logical slots and on cascading replicas if they are used for streaming by replicas with logical slots.
4. When logical slots are copied from to the replica there is a timeframe when it could be not safe to use them after promotion. Right now there is no protection from promoting such a replica. But, Patroni will show the warning with names of the slots that might be not safe to use.
Compatibility.
The `pg_replication_slot_advance()` function is only available starting from PostgreSQL 11. For older Postgres versions Patroni will refuse to create the logical slot on the primary.
The old "permanent slots" feature, which creates logical slots right after promotion and before allowing connections, was removed.
Close: https://github.com/zalando/patroni/issues/1749
This commit makes it possible to configure the maximum lag (`maximum_lag_on_syncnode`) after which Patroni will "demote" the node from synchronous and replace it with another node.
The previous implementation always tried to stick to the same synchronous nodes (even if they are not optimal ones).
When there is no config key in DCS Patroni shouldn't try accessing ignore_slots, otherwise an exception is raised.
In addition to that implement missing unit-tests and fix linting issues in behave tests.
1. The `ttl` was incorrectly returned 1000 times higher then it should
2. The `watch()` method must return True if the parent method returned True. Not doing so resulted in the incorrect calculation of sleep time.
3. Move mock of exhibitor api to the features/environment.py. It simplifies testing with behave.
There are sometimes good reasons to manage replication slots externally
to Patroni. For example, a consumer may wish to manage its own slots (so
that it can more easily track when a failover has a occurred and whether
it is ahead of or behind the WAL position on the new primary).
Additionally tooling like pglogical actually replicates slots to all
replicas so that the current position can be maintained on failover
targets (this also aids consumers by supplying primitives so that they
can verify data hasn't been lost or a split brain occurred relative to
the physical cluster).
To support these use cases this new feature allows configuring Patroni
to entirely ignore sets of slots specified by any subset of name,
database, slot type, and plugin.
1. Don't call bootstrap if PGDATA is missing/empty, because it might be for purpose, and someone/something working on it.
2. Consider postgres running as a leader in pause not healthy if pg_control sysid doesn't match with the /initialize key (empty initialize key will allow the "race" and the leader will "restore" initialize key).
3. Don't exit on sysid mismatch in pause, only log a warning.
4. Cover corner cases when Patroni started in pause with empty PGDATA and it was restored by somebody else
5. Empty string is a valid `recovery_target`.
* update release notes
* bump version
* change the default alignment in patronictl table output to `left`
* add missing tests
* add missing pieces to the documentation
When running on K8s Patroni is communicating with API via the `kubernetes` service, which is address is exposed via the
`KUBERNETES_SERVICE_HOST` environment variable. Like any other service, the `kubernetes` service is handled by `kube-proxy`, that depending on configuration is either relying on userspace program or `iptables` for traffic routing.
During K8s upgrade, when master nodes are replaced, it is possible that `kube-proxy` doesn't update the service configuration in time and as a result Patroni fails to update the leader lock and demotes postgres.
In order to improve the user experience and get more control on the problem we make it possible to bypass the `kubernetes` service and connect directly to API nodes.
The strategy is very simple:
1. Resolve list IPs of API nodes from the kubernetes endpoint on every iteration of HA loop.
2. Stick to one of these IPs for API requests
3. Switch to a different IP if connected to IP is not from the list
4. If the request fails, switch to another IP and retry
Such a strategy is already used for Etcd and proven to work quite well.
In order to enable the feature, you need either to set to `true` `kubernetes.bypass_api_service` in the Patroni configuration file or `PATRONI_KUBERNETES_BYPASS_API_SERVICE` environment variable.
If for some reason `GET /default/endpoints/kubernetes` isn't allowed Patroni will disable the feature.
The new parameter `synchronous_node_count` is used by Patroni to manage number of synchronous standby databases. It is set to 1 by default. It has no effect when synchronous_mode is set to off. When enabled, Patroni manages precise number of synchronous standby databases based on parameter synchronous_node_count and adjusts the state in DCS & synchronous_standby_names as members join and leave.
This functionality can be further extended to support Priority (FIRST n) based synchronous replication & Quorum (ANY n) based synchronous replication in future.
* pg_rewind error messages contain '/' as directory separator
* fix Raft unit tests on win
* fix validator unit tests on win
* fix keepalive unit tests on win
* make standby cluster behave tests less shaky
The only python-etcd3 client working directly via gRPC still supports only a single endpoint, which is not very nice for high-availability.
Since Patroni is already using a heavily hacked version of python-etcd with smart retries and auto-discovery out-of-the-box, I decided to enhance the existing code with limited support of v3 protocol via gRPC-gateway.
Unfortunately, watches via gRPC-gateway requires us to open and keep the second connection to the etcd.
Known limitations:
* The very minimal supported version is 3.0.4. On earlier versions transactions don't work due to bugs in grpc-gateway. Without transactions we can't do atomic operations, i.e. leader locks.
* Watches work only starting from 3.1.0
* Authentication works only starting from 3.3.0
* gRPC-gateway does not support authentication using TLS Common Name. This is because gRPC-proxy terminates TLS from its client so all the clients share a cert of the proxy: https://github.com/etcd-io/etcd/blob/master/Documentation/op-guide/authentication.md#using-tls-common-name
* new node can join the cluster dynamically and become a part of consensus
* it is also possible to join only Patroni cluster (without adding the node to the raft), just comment or remove `raft.self_addr` for that
* when the node joins the cluster it is using values from `raft.partner_addrs` only for initial discovery.
* It is possible to run Patroni and Postgres on two nodes plus one node with `patroni_raft_controller` (without Patroni and Postgres). In such setup one can temporarily lose one node without affecting the primary.
The official python kubernetes client contains a lot of auto-generated code and therefore very heavy, but we need only a little fraction of it.
The naive implementation, that covers all API methods we use, takes about 250 LoC, and about half of it is responsible for the handling of configuration files.
Disadvantage: If somebody was using the `patronictl` outside of the pod (on his machine), it might not work anymore (depending on the environment).
* Implement proper tests for `multiprocessing.set_start_method()`
* Exclude some watchdog code from coverage (it is used only for behave tests)
* properly use os.path.join for windows compatibility
* import DCS modules in `features/environment.py` on demand. It allows to run behave tests against chosen DCS without installing all dependencies.
* remove some unused behave code
* fix some minor issues in the dcs.kubernetes module
The /history endpoint shows the content of the `history` key in DCS
The /cluster endpoint show all cluster members and some service info like pending and scheduled restarts or switchovers.
In addition to that implement `patronictl history`
Close#586Close#675Close#1133
It is possible that some config files are not controlled by Patroni and when somebody is doing reload via REST API or by sending SIGHUP to Patroni process the usual expectation is that postgres will also be reloaded, but it didn't happen when there were no changes in the postgresql section of Patroni config.
For example one might replace ssl_cert_file and ssl_key_file on the filesystem and starting from PostgreSQL 10 it just requires a reload, but Patroni wasn't doing it.
In addition to that fix the issue with handling of `wal_buffers`. The default value depends on `shared_buffers` and `wal_segment_size` and therefore Patroni was exposing pending_restart when the new value in the config was explicitly set to -1 (default).
Close https://github.com/zalando/patroni/issues/1198
First of all, this patch changes the behavior of `on_start`/`on_restart` callbacks, they will be called only when postgres is started or restarted without role changes. In case if the member is promoted or demoted only the `on_role_change` callback will be executed. `on_role_change` was never called for standby leader, only `on_start`/`on_restart` and with a wrong role argument.
Before that `on_role_change` was never called for standby leader, only `on_start`/`on_restart` and with a wrong role argument.
In addition to that, the REST API will return standby_leader role for the leader of the standby cluster.
Closes https://github.com/zalando/patroni/issues/988
Recently 2.6.0 was release which changes the way how create_connection method is called. Before it was passing two arguments, and in the new version all argument names are specified explicitly.
Permanent replication slots are preserved on failover/switchover, that is Patroni on the new primary will create configured replication slots right after doing promote.
Slots could be configured with the help of `patronictl edit-config`.
The initial configuration could be also done in the `bootstrap.dcs`
```yaml
slots:
permanent_physical_1:
type: physical
permanent_logical_1:
type: logical
database: foo
plugin: pgoutput
```
It is the responsibility of the operator to make sure that there are no clashes in names between replication slots automatically created by Patroni for members and permanent replication slots.
Closes https://github.com/zalando/patroni/issues/656
Implementation of "standby cluster" described in #657. Standby cluster consists
of a "standby leader", that replicates from a "remote master" (which is not a
part of current patroni cluster and can be anywhere), and cascade replicas,
that replicate from the corresponding standby leader. "Standby leader" behaves
pretty much like a regular leader, which means that it holds a leader lock in
DSC, in case if disappears there will be an election of a new "standby
leader".
One can define such a cluster using the section "standby_cluster" in patroni
config file. This section provides parameters for standby cluster, that will be
applied only once during bootstrap and can be changed only through DSC.
* Take and apply some parameters from controldata when starting as replica
https://www.postgresql.org/docs/10/static/hot-standby.html#HOT-STANDBY-ADMIN
There is set of parameters which value on the replica must be not smaller than on the primary, otherwise replica will refuse to start:
* max_connections
* max_prepared_transactions
* max_locks_per_transaction
* max_worker_processes
It might happen that values of these parameters in the global configuration are not set high enough, what makes impossible to start a replica without human intervention. Usually it happens when we bootstrap a new cluster from the basebackup.
As a solution to this problem we will take values of above parameters from the pg_controldata output and in case if the values in the global configuration are not high enough, apply values taken from pg_controldata and set `pending_restart` flag.
