2c581377a5
* Remodel how device list change IDs are created Previously we made them using the offset Kafka supplied. We don't run Kafka anymore, so now we make the SQL table assign the change ID via an AUTOINCREMENTing ID. Redesign the `keyserver_key_changes` table to have `UNIQUE(user_id)` so we don't accumulate key changes forevermore, we now have at most 1 row per user which contains the highest change ID. This needs a SQL migration. * Ensure we bump the change ID on sqlite * Actually read the DeviceChangeID not the Offset in synapi * Add SQL migrations * Prepare after migration; fixup dendrite-upgrade-test logging * Use higher version numbers; fix sqlite query to increment better * Default 0 on postgres * fixup postgres migration on fresh dendrite instances |
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api | ||
consumers | ||
internal | ||
inthttp | ||
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storage | ||
types | ||
keyserver.go | ||
README.md |
Key Server
This is an internal component which manages E2E keys from clients. It handles all the Key Management APIs with the exception of /keys/changes
which is handled by Sync API. This component is designed to shard by user ID.
Keys are uploaded and stored in this component, and key changes are emitted to a Kafka topic for downstream components such as Sync API.
Internal APIs
PerformUploadKeys
stores identity keys and one-time public keys for given user(s).PerformClaimKeys
acquires one-time public keys for given user(s). This may involve outbound federation calls.QueryKeys
returns identity keys for given user(s). This may involve outbound federation calls. This component may then cache federated identity keys to avoid repeatedly hitting remote servers.- A topic which emits identity keys every time there is a change (addition or deletion).
### Endpoint mappings
- Client API maps
/keys/upload
toPerformUploadKeys
. - Client API maps
/keys/query
toQueryKeys
. - Client API maps
/keys/claim
toPerformClaimKeys
. - Federation API maps
/user/keys/query
toQueryKeys
. - Federation API maps
/user/keys/claim
toPerformClaimKeys
. - Sync API maps
/keys/changes
to consuming from the Kafka topic.