* Upgrade from hashicorp/go-msgpack v1.1.5 to v2.1.0
Fixes#16808
* Update hashicorp/net-rpc-msgpackrpc to v2 to match go-msgpack
* deps: use go-msgpack v2.0.0
go-msgpack v2.1.0 includes some code changes that we will need to
investigate furthere to assess its impact on Nomad, so keeping this
dependency on v2.0.0 for now since it's no-op.
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Co-authored-by: Luiz Aoqui <luiz@hashicorp.com>
This changeset configures the RPC rate metrics that were added in #15515 to all
the RPCs that support authenticated HTTP API requests. These endpoints already
configured with pre-forwarding authentication in #15870, and a handful of others
were done already as part of the proof-of-concept work. So this changeset is
entirely copy-and-pasting one method call into a whole mess of handlers.
Upcoming PRs will wire up pre-forwarding auth and rate metrics for the remaining
set of RPCs that have no API consumers or aren't authenticated, in smaller
chunks that can be more thoughtfully reviewed.
This changeset allows Workload Identities to authenticate to all the RPCs that
support HTTP API endpoints, for use with PR #15864.
* Extends the work done for pre-forwarding authentication to all RPCs that
support a HTTP API endpoint.
* Consolidates the auth helpers used by the CSI, Service Registration, and Node
endpoints that are currently used to support both tokens and client secrets.
Intentionally excluded from this changeset:
* The Variables endpoint still has custom handling because of the implicit
policies. Ideally we'll figure out an efficient way to resolve those into real
policies and then we can get rid of that custom handling.
* The RPCs that don't currently support auth tokens (i.e. those that don't
support HTTP endpoints) have not been updated with the new pre-forwarding auth
We'll be doing this under a separate PR to support RPC rate metrics.
Upcoming work to instrument the rate of RPC requests by consumer (and eventually
rate limit) requires that we thread the `RPCContext` through all RPC
handlers so that we can access the underlying connection. This changeset adds
the context to everywhere we intend to initially support it and intentionally
excludes streaming RPCs and client RPCs.
To improve the ergonomics of adding the context everywhere its needed and to
clarify the requirements of dynamic vs static handlers, I've also done a good
bit of refactoring here:
* canonicalized the RPC handler fields so they're as close to identical as
possible without introducing unused fields (i.e. I didn't add loggers if the
handler doesn't use them already).
* canonicalized the imports in the handler files.
* added a `NewExampleEndpoint` function for each handler that ensures we're
constructing the handlers with the required arguments.
* reordered the registration in server.go to match the order of the files (to
make it easier to see if we've missed one), and added a bunch of commentary
there as to what the difference between static and dynamic handlers is.
This change ensures that a token's expiry is checked before every
event is sent to the caller. Previously, a token could still be
used to listen for events after it had expired, as long as the
subscription was made while it was unexpired. This would last until
the token was garbage collected from state.
The check occurs within the RPC as there is currently no state
update when a token expires.
* upsertaclpolicies
* delete acl policies msgtype
* upsert acl policies msgtype
* delete acl tokens msgtype
* acl bootstrap msgtype
wip unsubscribe on token delete
test that subscriptions are closed after an ACL token has been deleted
Start writing policyupdated test
* update test to use before/after policy
* add SubscribeWithACLCheck to run acl checks on subscribe
* update rpc endpoint to use broker acl check
* Add and use subscriptions.closeSubscriptionFunc
This fixes the issue of not being able to defer unlocking the mutex on
the event broker in the for loop.
handle acl policy updates
* rpc endpoint test for terminating acl change
* add comments
Co-authored-by: Kris Hicks <khicks@hashicorp.com>
* Remove Managed Sinks from Nomad
Managed Sinks were a beta feature in Nomad 1.0-beta2. During the beta
period it was determined that this was not a scalable approach to
support community and third party sinks.
* update comment
* changelog
* Process to send events to configured sinks
This PR adds a SinkManager to a server which is responsible for managing
managed sinks. Managed sinks subscribe to the event broker and send
events to a sink writer (webhook). When changes to the eventstore are
made the sinkmanager and managed sink are responsible for reloading or
starting a new managed sink.
* periodically check in sink progress to raft
Save progress on the last successfully sent index to raft. This allows a
managed sink to resume close to where it left off in the event of a lost
server or leadership change
dereference eventsink so we can accurately use the watchch
When using a pointer to eventsink struct it was updated immediately and our reload logic would not trigger
* network sink rpc/api plumbing
state store methods and restore
upsert sink test
get sink
delete sink
event sink list and tests
go generate new msg types
validate sink on upsert
* go generate
properly wire up durable event count
move newline responsibility
moves newline creation from NDJson to the http handler, json stream only encodes and sends now
ignore snapshot restore if broker is disabled
enable dev mode to access event steam without acl
use mapping instead of switch
use pointers for config sizes, remove unused ttl, simplify closed conn logic
* Node Drain events and Node Events (#8980)
Deployment status updates
handle deployment status updates (paused, failed, resume)
deployment alloc health
generate events from apply plan result
txn err check, slim down deployment event
one ndjson line per index
* consolidate down to node event + type
* fix UpdateDeploymentAllocHealth test invocations
* fix test
This Commit adds an /v1/events/stream endpoint to stream events from.
The stream framer has been updated to include a SendFull method which
does not fragment the data between multiple frames. This essentially
treats the stream framer as a envelope to adhere to the stream framer
interface in the UI.
If the `encode` query parameter is omitted events will be streamed as
newline delimted JSON.
Ian Fijolek