Run a sliding sync proxy. An implementation of MSC3575.

This describes which proxy versions implement which version of the API drafted in MSC3575. See https://github.com/matrix-org/sliding-sync/releases for the changes in the proxy itself.

As of v0.99.7, the proxy implements this version of the MSC with the following exceptions:

• the limited flag is not set in responses.
• Delta tokens are unsupported.

Requires Postgres 13 .

First, you must create a Postgres database and secret:

$ createdb syncv3
$ echo -n "$(openssl rand -hex 32)" > .secret # this MUST remain the same throughout the lifetime of the database created above.

The Sliding Sync proxy requires some environment variables set to function. They are described when the proxy is run with missing variables.

Here is a short description of each, as of writing:

SYNCV3_SERVER     Required. The destination homeserver to talk to (CS API HTTPS URL) e.g 'https://matrix-client.matrix.org'
SYNCV3_DB         Required. The postgres connection string: https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING
SYNCV3_SECRET     Required. A secret to use to encrypt access tokens. Must remain the same for the lifetime of the database.
SYNCV3_BINDADDR   Default: 0.0.0.0:8008.  The interface and port to listen on.
SYNCV3_TLS_CERT   Default: unset. Path to a certificate file to serve to HTTPS clients. Specifying this enables TLS on the bound address.
SYNCV3_TLS_KEY    Default: unset. Path to a key file for the certificate. Must be provided along with the certificate file.
SYNCV3_PPROF      Default: unset. The bind addr for pprof debugging e.g ':6060'. If not set, does not listen.
SYNCV3_PROM       Default: unset. The bind addr for Prometheus metrics, which will be accessible at /metrics at this address.
SYNCV3_OTLP_URL Default: unset. The OTLP HTTP URL to send spans to e.g https://localhost:4318 - if unset does not send OTLP traces.
SYNCV3_OTLP_USERNAME Default: unset. The OTLP username for Basic auth. If unset, does not send an Authorization header.
SYNCV3_OTLP_PASSWORD Default: unset. The OTLP password for Basic auth. If unset, does not send an Authorization header.
SYNCV3_SENTRY_DSN Default: unset. The Sentry DSN to report events to e.g https://[email protected]/123 - if unset does not send sentry events.
SYNCV3_LOG_LEVEL  Default: info. The level of verbosity for messages logged. Available values are trace, debug, info, warn, error and fatal
SYNCV3_MAX_DB_CONN Default: unset. Max database connections to use when communicating with postgres. Unset or 0 means no limit.

It is easiest to host the proxy on a separate hostname than the Matrix server, though it is possible to use the same hostname by forwarding the used endpoints.

In both cases, the path https://example.com/.well-known/matrix/client must return a JSON with at least the following contents:

{
    "m.homeserver": {
        "base_url": "https://example.com"
    },
    "org.matrix.msc3575.proxy": {
        "url": "https://syncv3.example.com"
    }
}

The following nginx configuration can be used to pass the required endpoints to the sync proxy, running on local port 8009 (so as to not conflict with Synapse):

location ~ ^/(client/|_matrix/client/unstable/org.matrix.msc3575/sync) {
    proxy_pass http://localhost:8009;
    proxy_set_header X-Forwarded-For $remote_addr;
    proxy_set_header X-Forwarded-Proto $scheme;
    proxy_set_header Host $host;
}

location ~ ^(\/_matrix|\/_synapse\/client) {
    proxy_pass http://localhost:8008;
    proxy_set_header X-Forwarded-For $remote_addr;
    proxy_set_header X-Forwarded-Proto $scheme;
    proxy_set_header Host $host;
}

location /.well-known/matrix/client {
    add_header Access-Control-Allow-Origin *;
}

There are two ways to run the proxy:

• Compiling from source:

$ go build ./cmd/syncv3
$ SYNCV3_SECRET=$(cat .secret) SYNCV3_SERVER="https://matrix-client.matrix.org" SYNCV3_DB="user=$(whoami) dbname=syncv3 sslmode=disable password='DATABASE_PASSWORD_HERE'" SYNCV3_BINDADDR=0.0.0.0:8008 ./syncv3

• Using a Docker image:

docker run --rm -e "SYNCV3_SERVER=https://matrix-client.matrix.org" -e "SYNCV3_SECRET=$(cat .secret)" -e "SYNCV3_BINDADDR=:8008" -e "SYNCV3_DB=user=$(whoami) dbname=syncv3 sslmode=disable host=host.docker.internal password='DATABASE_PASSWORD_HERE'" -p 8008:8008 ghcr.io/matrix-org/sliding-sync:latest

Optionally also set SYNCV3_TLS_CERT=path/to/cert.pem and SYNCV3_TLS_KEY=path/to/key.pem to listen on HTTPS instead of HTTP. Make sure to tweak the SYNCV3_DB environment variable if the Postgres database isn't running on the host.

Regular users may now log in with their sliding-sync compatible Matrix client. If developing sliding-sync, a simple client is provided (although it is not included in the Docker image).

To use the stub client, visit http://localhost:8008/client/ (with trailing slash) and paste in the access_token for any account on SYNCV3_SERVER. Note that this will consume to-device messages for the device associated with that access token.

When you hit the Sync button nothing will happen initially, but you should see:

INF Poller: v2 poll loop started ip=::1 since= user_id=@kegan:matrix.org

Wait for the first initial v2 sync to be processed (this can take minutes!) and then v3 APIs will be responsive.

Note that some clients might require that your home server advertises support for sliding-sync in the .well-known/matrix/client endpoint; details are in the work-in-progress specification document.

To enable metrics, pass SYNCV3_PROM=:2112 to listen on that port and expose a scraping endpoint GET /metrics. If you want to hook this up to a prometheus, you can just define prometheus.yml:

global:
    scrape_interval: 30s
    scrape_timeout: 10s
scrape_configs:
    - job_name: ss
      static_configs:
       - targets: ["host.docker.internal:2112"]

then run Prometheus in a docker container:

docker run -p 9090:9090 -v /path/to/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus

to play with the data, use PromLens and point it at http://localhost:9090:

docker run -p 8080:8080 prom/promlens

Useful queries include:

• rate(sliding_sync_poller_num_payloads{job="ss"}[5m]) : This shows the payload rate from pollers to API processes, broken down by type. A stacked graph display is especially useful as the height then represents the total payload rate. This can be used to highlight abnormal incoming data, such as excessive payload rates. It can also be used to gauge how costly certain payload types are. In general, receipts and device data tend to be the most frequent background noise. A full list of payload types are defined in the pubsub directory.
• sliding_sync_poller_num_pollers : Absolute count of the number of /sync v2 pollers over time. Useful either as a single value, or display over time. The higher this value, the more pressure is put on the upstream Homeserver.
• sliding_sync_api_num_active_conns : Absolute count of the number of active sliding sync connections. Useful either as a single value, or display over time. The higher this value, the more pressure is put on the proxy API processes.
• sum(increase(sliding_sync_poller_process_duration_secs_bucket[1m])) by (le) : Useful heatmap to show how long /sync v2 responses take to process. This can highlight database pressure as processing responses involves database writes and notifications over pubsub.
• sum(increase(sliding_sync_api_process_duration_secs_bucket[1m])) by (le) : Useful heatmap to show how long sliding sync responses take to calculate, which excludes all long-polling requests. This can highlight slow sorting/database performance, as these requests should always be fast.

To help debug performance issues, you can make the proxy listen for PPROF requests by passing SYNCV3_PPROF=:6060 to listen on :6060. To debug why a request is slow:

wget -O 'trace.pprof' 'http://localhost:6060/debug/pprof/trace?seconds=20'

Then perform the slow request within 20 seconds. Send trace.pprof to someone who will then run go tool trace trace.pprof and look at "User-defined Tasks" for slow HTTP requests.

To debug why the proxy is consuming lots of memory, run:

wget -O 'heap.pprof' 'http://localhost:6060/debug/pprof/heap'

Then send heap.pprof to someone who will then run go tool pprof heap.pprof and probably type something like top10:

(pprof) top10
Showing nodes accounting for 83.13MB, 100% of 83.13MB total
Showing top 10 nodes out of 82
      flat  flat%   sum%        cum   cum%
   43.01MB 51.74% 51.74%    43.01MB 51.74%  github.com/tidwall/gjson.ParseBytes
   31.85MB 38.31% 90.05%    31.85MB 38.31%  github.com/matrix-org/sliding-sync/sync3.(*JoinedRoomsTracker).Startup
       4MB  4.82% 94.87%        4MB  4.82%  runtime.allocm
    1.76MB  2.12% 96.99%     1.76MB  2.12%  compress/flate.NewWriter
    0.50MB  0.61% 97.59%        1MB  1.21%  github.com/matrix-org/sliding-sync/sync3.(*SortableRooms).Sort
    0.50MB   0.6% 98.20%     0.50MB   0.6%  runtime.malg
    0.50MB   0.6% 98.80%     0.50MB   0.6%  github.com/matrix-org/sliding-sync/sync3.(*InternalRequestLists).Room
    0.50MB   0.6% 99.40%     0.50MB   0.6%  github.com/matrix-org/sliding-sync/sync3.(*Dispatcher).notifyListeners
    0.50MB   0.6%   100%     0.50MB   0.6%  runtime.acquireSudog
         0     0%   100%     1.76MB  2.12%  bufio.(*Writer).Flush

To debug why the proxy is using 100% CPU, run:

wget -O 'profile.pprof' 'http://localhost:6060/debug/pprof/profile?seconds=10'

Then send profile.pprof to someone who will then run go tool pprof -http :5656 profile.pprof and typically view the flame graph: View -> Flame Graph.

Sanity check everything builds:

go build ./cmd/syncv3
go list ./... | xargs -n1 go test -c -o /dev/null

Run all unit and integration tests:

go test -p 1 -count 1 $(go list ./... | grep -v tests-e2e) -timeout 120s

Run end-to-end tests:

# Run each line in a separate terminal windows. Will need to `docker login`
# to ghcr and pull the image.
docker run --rm -e "SYNAPSE_COMPLEMENT_DATABASE=sqlite" -e "SERVER_NAME=synapse" -p 8888:8008 ghcr.io/matrix-org/synapse-service:v1.72.0
(go build ./cmd/syncv3 && dropdb syncv3_test && createdb syncv3_test && cd tests-e2e && ./run-tests.sh -count=1 .)