2020-11-19 17:16:54 +00:00
|
|
|
|
|
|
|
# Event Streaming
|
|
|
|
|
|
|
|
Event streaming is a new asynchronous RPC mechanism that is being added to Consul. Instead
|
|
|
|
of synchronous blocking RPC calls (long polling) to fetch data when it changes, streaming
|
|
|
|
sends events as they occur, and the client maintains a materialized view of the events.
|
|
|
|
|
|
|
|
At the time of writing only the service health endpoint uses streaming, but more endpoints
|
|
|
|
will be added in the future.
|
|
|
|
|
2021-04-01 20:54:30 +00:00
|
|
|
See [adding a topic](./adding-a-topic.md) for a guide on adding new topics to streaming.
|
|
|
|
|
2020-11-19 17:16:54 +00:00
|
|
|
## Overview
|
|
|
|
|
|
|
|
The diagram below shows the components that are used in streaming, and how they fit into
|
|
|
|
the rest of Consul.
|
|
|
|
|
|
|
|
![Streaming Overview](./overview.svg)
|
|
|
|
|
|
|
|
<sup>[source](./overview.mmd)</sup>
|
|
|
|
|
|
|
|
Read requests are received either from the HTTP API or from a DNS request. They use
|
|
|
|
[rpcclient/health.Health]
|
|
|
|
to query the cache. The [StreamingHealthServices cache-type] uses a [materialized view]
|
|
|
|
to manage subscriptions and store the aggregated events. On the server, the
|
|
|
|
[SubscribeEndpoint] subscribes and receives events from [EventPublisher].
|
|
|
|
|
|
|
|
Writes will likely enter the system through the client as well, but to make the diagram
|
|
|
|
less complicated the write flow starts when it is received by the RPC endpoint. The
|
|
|
|
endpoint calls raft.Apply, which if successful will save the new data in the state.Store.
|
|
|
|
When the [state.Store commits] it produces an event which is managed by the [EventPublisher]
|
|
|
|
and sent to any active subscriptions.
|
|
|
|
|
|
|
|
[rpcclient/health.Health]: https://github.com/hashicorp/consul/blob/master/agent/rpcclient/health/health.go
|
|
|
|
[StreamingHealthServices cache-type]: https://github.com/hashicorp/consul/blob/master/agent/cache-types/streaming_health_services.go
|
|
|
|
[materialized view]: https://github.com/hashicorp/consul/blob/master/agent/submatview/materializer.go
|
|
|
|
[SubscribeEndpoint]: https://github.com/hashicorp/consul/blob/master/agent/rpc/subscribe/subscribe.go
|
|
|
|
[EventPublisher]: https://github.com/hashicorp/consul/blob/master/agent/consul/stream/event_publisher.go
|
|
|
|
[state.Store commits]: https://github.com/hashicorp/consul/blob/master/agent/consul/state/memdb.go
|
|
|
|
|
|
|
|
|
|
|
|
## Event Publisher
|
|
|
|
|
2020-12-08 17:12:15 +00:00
|
|
|
The [EventPublisher] is at the core of streaming. It receives published events, and
|
2020-11-19 17:16:54 +00:00
|
|
|
subscription requests, and forwards events to the appropriate subscriptions. The diagram
|
|
|
|
below illustrates how events are stored by the [EventPublisher].
|
|
|
|
|
|
|
|
![Event Publisher layout](./event-publisher-layout.svg)
|
|
|
|
|
|
|
|
<sup>[source](./event-publisher-layout.mmd)</sup>
|
|
|
|
|
|
|
|
When a new subscription is created it will create a snapshot of the events required to
|
|
|
|
reflect the current state. This snapshot is cached by the [EventPublisher] so that other
|
|
|
|
subscriptions can re-use the snapshot without having to recreate it.
|
|
|
|
|
|
|
|
The snapshot always points at the first item in the linked list of events. A subscription
|
|
|
|
will initially point at the first item, but the pointer advances each time
|
|
|
|
`Subscribe.Next` is called. The topic buffers in the EventPublisher always point at the
|
|
|
|
latest item in the linked list, so that new events can be appended to the buffer.
|
|
|
|
|
|
|
|
When a snapshot cache TTL expires, the snapshot is removed. If there are no other
|
|
|
|
subscriptions holding a reference to those items, the items will be garbage collected by
|
|
|
|
the Go runtime. This setup allows EventPublisher to keep some events around for a short
|
|
|
|
period of time, without any hard coded limit on the number of events to cache.
|
|
|
|
|
|
|
|
|
|
|
|
## Subscription events
|
|
|
|
|
|
|
|
A subscription provides a stream of events on a single topic. Most of the events contain
|
|
|
|
data for a change in state, but there are a few special "framing" events that are used to
|
|
|
|
communicate something to the client. The diagram below helps illustrate the logic in
|
2020-12-08 17:12:15 +00:00
|
|
|
`EventPublisher.Subscribe` and the [materialized view].
|
2020-11-19 17:16:54 +00:00
|
|
|
|
|
|
|
|
|
|
|
![Framing events](./framing-events.svg)
|
|
|
|
|
|
|
|
<sup>[source](./framing-events.mmd)</sup>
|
|
|
|
|
|
|
|
|
|
|
|
Events in the `Snapshot` contain the same data as those in the `EventStream`, the only
|
|
|
|
difference is that events in the `Snapshot` indicate the current state not a change in
|
|
|
|
state.
|
|
|
|
|
|
|
|
`NewSnapshotToFollow` is a framing event that indicates to the client that their existing
|
|
|
|
view is out of date. They must reset their view and prepare to receive a new snapshot.
|
|
|
|
|
|
|
|
`EndOfSnapshot` indicates to the client that the snapshot is complete. Any future events
|
|
|
|
will be changes in state.
|
|
|
|
|
|
|
|
|
|
|
|
## Event filtering
|
|
|
|
|
|
|
|
As events pass through the system from the `state.Store` to the client they are grouped
|
|
|
|
and filtered along the way. The diagram below helps illustrate where each of the grouping
|
|
|
|
and filtering happens.
|
|
|
|
|
|
|
|
|
|
|
|
![event filtering](./event-filtering.svg)
|
|
|
|
|
|
|
|
<sup>[source](./event-filtering.mmd)</sup>
|
|
|
|
|