Changes the API of GatewayAllocator#applyStartedShards and
GatewayAllocator#applyFailedShards to take both a RoutingAllocation
and a list of shards to apply. This allows better mock allocators
to be created as being done in #20637.
Closes#20642
Removes the FailedRerouteAllocation class and StartedRerouteAllocation
class, as they were just wrappers for RerouteAllocation that stored
started and failed shards, but these started and failed shards can
be passed in directly to the methods that needed them, removing the
need for this wrapper class and extra level of indirection.
Closes#20626
Currently all the reroute-like methods of `AllocationService` return a result object of type `RoutingAllocation.Result`. The result object contains the new `RoutingTable` and `MetaData` plus an indication whether those were changed. The caller is then responsible of updating a cluster state with these. These means that things can easily go wrong and one can take one of these but not the other causing inconsistencies. We already have a utility method on the `ClusterState` builder that does but no one forces you to do so. Also 99% of the callers do the same thing: i.e., check if the result was changed and if so update the very same cluster state that was passed to `AllocationService`. This PR folds this pattern into `AllocationService` and changes almost all it's methods to return a new cluster state (potentially the original one). This saves some 500 lines of code.
The one exception here is the reroute API which executes allocation commands and potentially returns an explanation as well (next to the routing table and metadata). That API now returns a `CommandsResult` object which encapsulate a cluster state and the explanation.
In 1e91f3b we disabled annotation processors globally. However, some
project like JMH need annotation processing, so we add an ability to
selectively enabled annotation processing for certain projects by
setting an external property in the corresponding Gradle build script.
Note that `javac` would allow to set a specific annotation processor
with the command line option `-processor`. However, due to a bug in
Gradle we we cannot use this option and need to enable all annotation
processors.
This change converts AllocationDecider registration from push based on
ClusterModule to implementing with a new ClusterPlugin interface.
AllocationDecider instances are allowed to use only Settings and
ClusterSettings.
Adds a class that records changes made to RoutingAllocation, so that at the end of the allocation round other values can be more easily derived based on these changes. Most notably, it:
- replaces the explicit boolean flag that is passed around everywhere to denote changes to the routing table. The boolean flag is automatically updated now when changes actually occur, preventing issues where it got out of sync with actual changes to the routing table.
- records actual changes made to RoutingNodes so that primary term and in-sync allocation ids, which are part of index metadata, can be efficiently updated just by looking at the shards that were actually changed.
When we introduces [persistent node ids](https://github.com/elastic/elasticsearch/pull/19140) we were concerned that people may copy data folders from one to another resulting in two nodes competing for the same id in the cluster. To solve this we elected to not allow an incoming join if a different with same id already exists in the cluster, or if some other node already has the same transport address as the incoming join. The rationeel there was that it is better to prefer existing nodes and that we can rely on node fault detection to remove any node from the cluster that isn't correct any more, making room for the node that wants to join (and will keep trying).
Sadly there were two problems with this:
1) One minor and easy to fix - we didn't allow for the case where the existing node can have the same network address as the incoming one, but have a different ephemeral id (after node restart). This confused the logic in `AllocationService`, in this rare cases. The cluster is good enough to detect this and recover later on, but it's not clean.
2) The assumption that Node Fault Detection will clean up is *wrong* when the node just won an election (it wasn't master before) and needs to process the incoming joins in order to commit the cluster state and assume it's mastership. In those cases, the Node Fault Detection isn't active.
This PR fixes these two and prefers incoming nodes to existing node when finishing an election.
On top of the, on request by @ywelsch , `AllocationService` synchronization between the nodes of the cluster and it's routing table is now explicit rather than something we do all the time. The same goes for promotion of replicas to primaries.
Node IDs are currently randomly generated during node startup. That means they change every time the node is restarted. While this doesn't matter for ES proper, it makes it hard for external services to track nodes. Another, more minor, side effect is that indexing the output of, say, the node stats API results in creating new fields due to node ID being used as keys.
The first approach I considered was to use the node's published address as the base for the id. We already [treat nodes with the same address as the same](https://github.com/elastic/elasticsearch/blob/master/core/src/main/java/org/elasticsearch/discovery/zen/NodeJoinController.java#L387) so this is a simple change (see [here](https://github.com/elastic/elasticsearch/compare/master...bleskes:node_persistent_id_based_on_address)). While this is simple and it works for probably most cases, it is not perfect. For example, if after a node restart, the node is not able to bind to the same port (because it's not yet freed by the OS), it will cause the node to still change identity. Also in environments where the host IP can change due to a host restart, identity will not be the same.
Due to those limitation, I opted to go with a different approach where the node id will be persisted in the node's data folder. This has the upside of connecting the id to the nodes data. It also means that the host can be adapted in any way (replace network cards, attach storage to a new VM). I
It does however also have downsides - we now run the risk of two nodes having the same id, if someone copies clones a data folder from one node to another. To mitigate this I changed the semantics of the protection against multiple nodes with the same address to be stricter - it will now reject the incoming join if a node exists with the same id but a different address. Note that if the existing node doesn't respond to pings (i.e., it's not alive) it will be removed and the new node will be accepted when it tries another join.
Last, and most importantly, this change requires that *all* nodes persist data to disk. This is a change from current behavior where only data & master nodes store local files. This is the main reason for marking this PR as breaking.
Other less important notes:
- DummyTransportAddress is removed as we need a unique network address per node. Use `LocalTransportAddress.buildUnique()` instead.
- I renamed `node.add_lid_to_custom_path` to `node.add_lock_id_to_custom_path` to avoid confusion with the node ID which is now part of the `NodeEnvironment` logic.
- I removed the `version` paramater from `MetaDataStateFormat#write` , it wasn't really used and was just in the way :)
- TribeNodes are special in the sense that they do start multiple sub-nodes (previously known as client nodes). Those sub-nodes do not store local files but derive their ID from the parent node id, so they are generated consistently.
This change removes some unnecessary dependencies from ClusterService
and cleans up ClusterName creation. ClusterService is now not created
by guice anymore.
With this commit we add a benchmarks project that contains the necessary build
infrastructure and an example benchmark. It is added as a separate project to avoid
interfering with the regular build too much (especially sanity checks) and to keep
the microbenchmarks isolated.
Microbenchmarks are generated with `gradle :benchmarks:jmhJar` and can be run with
` gradle :benchmarks:jmh`.
We intentionally do not use the
[jmh-gradle-plugin](https://github.com/melix/jmh-gradle-plugin) as it causes all
sorts of problems (dependencies are not properly excluded, not all JMH parameters
can be set) and it adds another abstraction layer that is not needed.
Closes#18242
Ali Beyad
Daniel Mitterdorfer
Boaz Leskes
Daniel Mitterdorfer
Ryan Ernst
Yannick Welsch
Simon Willnauer