Squid Archive setups

Running Docker Compose

Squid Archive setups for various chains.

To run a Squid Archive for a specific chain, navigate to the corresponding folder and run:

docker-compose up

Then navigate to localhost:4010/console and explore the extrinsic and event queries!

Getting the archive in sync with the chain may take considerable time. To keep track of the status, use the following query.

query {
  indexerStatus {
    head #current indexer block
    chainHeight #current chain height
    inSync
  }
}

Running Helm Chart

To run a Squid Archive for a specific chain, navigate to the corresponding folder and to the /chart folder and run

helm dependency build
helm install squid . --set-file squid.typesBundle=../typesBundle.json (or --set-file squid.types=../types.json)

Then navigate to localhost:80/console and explore the extrinsic and event queries!

Getting the archive in sync with the chain may take considerable time. To keep track of the status, use the following query.

query {
  indexerStatus {
    head #current indexer block
    chainHeight #current chain height
    inSync
  }
}

Be aware the storage capacity of the persistent volume in db.pv.yaml is just 5Gi, so you need to adjust it to your current system.

Running in production

The provided docker compose setup is a minimal configuration suitable for dev and testing environments. For a stable production deployment, we recommend the following.

• Use a private gRPC endpoint (WS_PROVIDER_ENDPOINT_URI env variable)
• Use managed Postgres database with non-root access (DB_* env variables)
• Collect and monitor Prometheus metrics exposed at port 9090. A reference Graphana dashboard can be imported from graphana.json
• Increase WORKERS_NUMBER to speed up the syncing. Usually, somewhere between 5-50 workers is a sweet spot depending on the gRPC endpoint capacity.
• Activate a built-in liveness probe:

livenessProbe:
  exec:
    command:
      - /livnesprobe.sh
  initialDelaySeconds: 300
  failureThreshold: 1
  periodSeconds: 300

We recommend 4GB RAM and a modern CPU to run a Squid Archive reliably. Database storage requirements depend on the size of the network. A rule of thumb is to reserve around 100 kb per block, so, e.g. for Kusama with ~10M blocks, one needs about 1Tb for Postgres storage.

Type definitons updates

Most chains publish type definitions as an npm package. Some archives (e.g. shiden or bifrost) have a script gen-types.js to generate the JSON type definitions. To update, run from the corresponding folder.

yarn upgrade
node gen-types.js

⚠️ Caveats for 🍏 M1 Macs

A known issue subsquid/squid-sdk#21 prevents M1 Macs from running the console. Possible workaround:

1. Clone subsquid/hydra repo
2. checkout v5 branch
3. build the gateway image with:

./scripts/docker-build.sh --target indexer-gateway -t subsquid/hydra-indexer-gateway:5

After that, you can run docker-compose as usual.