Such situation could happen if we replaced all etcd nodes except one
which was used by patroni. After replacing the last node patroni will
try to execute request on all other nodes from machines_cache but non of
them are available. Michines cache would became empty and patroni will
stick to the latest node which was available in the machines_cache and
will never try to refresh machines_cache from dns for example.
Currently machines cache is refreshed only when one request to the etcd
cluster has failed, but probably it should be done periodically, for
example every minute...
1. run touch_member from the main loop
2. move code which takes care about long tasks into separate class
3. change format of data stored in a DCS: use json instead of url
4. change Member class: from now it deserialize everything into data property
5. rework API: from now it takes into account state of the current node in a dcs
Implementation is done on top of feature/is-healthiest-via-api and
feature/api branches.
In order to trigger manual failover one has to create 'failover' key in
a configuration store with the value in following format:
'leader_name:member_name'
leader_name can be empty or should match with the name of current leader
member_name can be empty or should match with the name one of cluster
nodes
Leader always checks that either desired member (if specified) or one of
the memners is accessible and healthy before demote.
After leader has deomted himself other nodes are performig checks that
desired node is healthy. If it is not they are participating in a leader
race. In some cases (when accidently there is no healthy nodes) former
leader can also participate in a leader race.
Current implementation does not provide REST API endpoint for a manual
failover.
POST /restart -- will restart postgres
You you are restartung leader node, lock would be maintained during
restart.
POST /reinitialize -- will reinitialize node from the leader.
It's not possible to reinitialize current leader.
Command will fail when the leader is unknown.
query method in an api.py also needs retry in some cases (for example
when we are running is_healthiest_node check).
In all cases we should retry only when connection is closed or broken.
BUT, the connection status must be checked via cursor.connection (old
implementation was using general connection object for that). For
multi-threaded applications this is not appropriate, because some other
thread might restore connection.
In addition to that I've changed most of the unit tests to use `Mock` and
`patch` where it is possible.
Also define following properties:
* initialize_path
* members_path
* member_path
* leader_path
* leader_optime_path
And replace any occurrences of these strings or client_path calls in a
etcd and zookeeper implementations with given constants and properties.
If initializer node suddenly dies before the initialization is complete,
other nodes should try to take over.
Fix some unittests for etcd and zookeeper and add couple of new ones.
Cleanup the initialize flag if the initializing node fails
to bootstrap its PostgreSQL database.
Rename dcs.race to initialize, since we only call it for the
initialize flag. Factored out PostgreSQL bootstrapping code
into a separate function.
This method suppose to watch for changes of leader key if current node
is not leader and also it could watch for changes in a members list if
current conde is the leader.
`Cluster.leader` is not reference to `Member` anymore, but to `Leader`
`Leader` class contains field `index` (update index). This field is very
useful for watching for events which changing leader key. Also `Leader`
contains `member` field, which should reference real member.
List of ZooKeeper nodes could be periodically updated from Exhibitor
Since we know that each Exhibitor accompanies one ZooKeeper node, list
of Exhibitor nodes also maintained. Exhibitor assumes that all ZooKeeper
nodes are using the same client port, 2181. The same assumption is valid
for Exhibitor, it should always listen on the same port on all nodes.
Original list of Exhibitor nodes is cached and used as a fallback when
it failed ito query information with using maintained list.
In case if one member of a cluster is not available it will retry with
another one and fetch the new cluster configuration. Default timeout for
all requests to etcd is 5 seconds.
Initial cluster configuration can be resolved through:
1) /v2/members call on one of the cluster members on a client port
2) when it is possible to resolve hostname into multiple ip's it will
iterate through list and try to perform action from 1)
3) If there is discovery_srv defined in etcd section of config file it
will resolve peer addresses of all cluster members and will fetch
cluster configuration with using peer protocol by doing /members call on
a peer port
Alexander Kukushkin