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docs/infrastructure/deploying-aquarius.md
Jamie Hewitt f3eb1e4347 RemovignGoerli from the docs
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Deploying Aquarius

About Aquarius

Aquarius is an off-chain component that caches the asset's metadata published on-chain. By deploying their own instance of Aquarius, developers can control which assets are visible in their DApp. For example, having a custom Aquarius instance allows only the assets from specific addresses to be visible in the DApp.

This tutorial will provide the steps to deploy Aquarius. Ocean Protocol provides Aquarius Docker images which can be viewed here. Visit this page to view the Aquarius source code.

Aquarius consists of two parts:

  • API: The Aquarius API provides a user with a convenient way to access the metadata without scanning the chain itself.
  • Event monitor: Aquarius continually monitors the chains for MetadataCreated and MetadataUpdated events, processes these events, and adds them to the database.

As mentioned in the Setup a Server document, all Ocean components can be deployed in two configurations: simple, based on Docker Engine and Docker Compose, and complex, based on Kubernetes with Docker Engine. This document will present how to deploy Aquarius in each of these configurations.

Deploying Aquarius using Docker Engine and Docker Compose

This guide will deploy Aquarius, including Elasticsearch as a single systemd service.

Prerequisites

  • A server for hosting Aquarius. See this guide for how to create a server;
  • Docker Compose and Docker Engine are installed and configured on the server. See this guide for how to install these products.
  • The RPC URLs and API keys for each of the networks to which the Aquarius will be connected. See this guide for how to obtain the URL and the API key.

Steps

1. Create the /etc/docker/compose/aquarius/docker-compose.yml file

From a terminal console, create /etc/docker/compose/aquarius/docker-compose.yml file, then copy and paste the following content to it. Check the comments in the file and replace the fields with the specific values of your implementation. The following example is for deploying Aquarius for Goerli network.

For each other network in which you want to deploy Aquarius, add to the file a section similar to "aquarius-events-goerli" included in this example and update the corresponding parameters (i.e. EVENTS_RPC, OCEAN_ADDRESS, SUBGRAPH_URLS) specific to that network.

version: '3.9'
services:
  elasticsearch:
    image: elasticsearch:8.7.0
    container_name: elasticsearch
    restart: on-failure
    environment:
      ES_JAVA_OPTS: "-Xms512m -Xmx512m"
      MAX_MAP_COUNT: "64000"
      discovery.type: "single-node"
      ELASTIC_PASSWORD: "changeme"
      xpack.security.enabled: "false"
      xpack.security.http.ssl.enabled: "false"
    volumes:
      - data:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - backend
  aquarius:
    image: oceanprotocol/aquarius:v5.1.2
    container_name: aquarius
    restart: on-failure
    ports:
      - 5000:5000
    networks:
      - backend
    depends_on:
      - elasticsearch
    environment:
      DB_MODULE: elasticsearch
      DB_HOSTNAME: http://elasticsearch
      DB_PORT: 9200
      DB_USERNAME: elastic
      DB_PASSWORD: changeme
      DB_NAME: aquarius
      DB_SCHEME: http
      DB_SSL : "false"
      LOG_LEVEL: "INFO"
      AQUARIUS_URL: "http://0.0.0.0:5000"
      AQUARIUS_WORKERS : "4"
      RUN_AQUARIUS_SERVER: "1"
      AQUARIUS_CONFIG_FILE: "config.ini"
      EVENTS_ALLOW: 0
      RUN_EVENTS_MONITOR: 0
      ALLOWED_PUBLISHERS: '[""]'
  aquarius-events-goerli:
    image: oceanprotocol/aquarius:v5.1.2
    container_name: aquarius-events-goerli
    restart: on-failure
    networks:
      - backend
    depends_on:
      - elasticsearch
    environment:
      DB_MODULE: elasticsearch
      DB_HOSTNAME: http://elasticsearch
      DB_PORT: 9200
      DB_USERNAME: elastic
      DB_PASSWORD: changeme
      DB_NAME: aquarius
      DB_SCHEME: http
      DB_SSL : "false"
      LOG_LEVEL: "INFO"
      AQUARIUS_URL: "http://0.0.0.0:5000"
      AQUARIUS_WORKERS : "1"
      RUN_AQUARIUS_SERVER : "0"
      AQUARIUS_CONFIG_FILE: "config.ini"
      ALLOWED_PUBLISHERS: '[""]'
      NETWORK_NAME: "goerli"
      EVENTS_RPC: "https://goerli.infura.io/v3/<infura_id>"
      METADATA_UPDATE_ALL : "0"
      OCEAN_ADDRESS :  0xcfdda22c9837ae76e0faa845354f33c62e03653a
      RUN_EVENTS_MONITOR: 1
      BLOCKS_CHUNK_SIZE: "5000"
      SUBGRAPH_URLS:  "5: https://v4.subgraph.goerli.oceanprotocol.com"
volumes:
  data:
    driver: local
networks:
  backend:
    driver: bridge

2. Create the /etc/systemd/system/docker-compose@aquarius.service file

Create the /etc/systemd/system/docker-compose@aquarius.service file then copy and paste the following content to it. This example file could be customized if needed.

[Unit]
Description=%i service with docker compose
Requires=docker.service
After=docker.service

[Service]
Type=oneshot
RemainAfterExit=true
Environment="PROJECT=ocean"
WorkingDirectory=/etc/docker/compose/%i
ExecStartPre=/usr/bin/env docker-compose -p $PROJECT pull
ExecStart=/usr/bin/env docker-compose -p $PROJECT up -d
ExecStop=/usr/bin/env docker-compose -p $PROJECT stop
ExecStopPost=/usr/bin/env docker-compose -p $PROJECT down


[Install]
WantedBy=multi-user.target

3. Reload the systemd manager configuration

Run the following command to reload the systemd manager configuration

sudo systemctl daemon-reload

Optionally, you can enable the services to start at boot, using the following command:

sudo systemctl enable docker-compose@aquarius.service

4. Start Aquarius service

To start the Aquarius service, run the following command:

sudo systemctl start docker-compose@aquarius.service

5. Check the service's status

Check the status of the service by running the following commands:

sudo systemctl status docker-compose@aquarius.service

6. Confirm Aquarius is accessible

Run the following commands to access Aquarius The output should be similar to the one displayed here.

$ curl localhost:9200
{
  "name" : "a93d989293ac",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "Bs16cyCwRCOIbmaBUEj5fA",
  "version" : {
    "number" : "8.7.0",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "09520b59b6bc1057340b55750186466ea715e30e",
    "build_date" : "2023-03-27T16:31:09.816451435Z",
    "build_snapshot" : false,
    "lucene_version" : "9.5.0",
    "minimum_wire_compatibility_version" : "7.17.0",
    "minimum_index_compatibility_version" : "7.0.0"
  },
  "tagline" : "You Know, for Search"
}

$ curl localhost:5000
{"plugin":"module","software":"Aquarius","version":"5.1.2"}

7. Use Docker CLI to check the Aquarius service's logs

If needed, use docker CLI to check Aquarius' service logs.

First, identify the container id:

$ docker ps
CONTAINER ID   IMAGE                           COMMAND                  CREATED              STATUS              PORTS                                                 NAMES
355baee34d50   oceanprotocol/aquarius:v5.1.2   "/aquarius/docker-en…"   About a minute ago   Up About a minute   5000/tcp                                              aquarius-events-goerli
f1f97d6f146f   oceanprotocol/aquarius:v5.1.2   "/aquarius/docker-en…"   About a minute ago   Up About a minute   0.0.0.0:5000->5000/tcp, :::5000->5000/tcp             aquarius
a93d989293ac   elasticsearch:8.7.0             "/bin/tini -- /usr/l…"   About a minute ago   Up About a minute   0.0.0.0:9200->9200/tcp, :::9200->9200/tcp, 9300/tcp   elasticsearch

Then, check the logs from the Aqauarius' Docker containers:

$ docker logs aquarius  [--follow]
$ docker logs aquarius-events-goerli [--follow]

Deploying Aquarius using Kubernetes

Aquarius depends on the backend database and in this example we will deploy the following resources:

Templates (yaml files) are provided and could be customized based on the environment's specifics.

Prerequisites

  • A server for hosting Aquarius. See this guide for how to create a server;
  • Kubernetes with Docker Engine is installed and configured on the server. See this chapter for information on installing Kubernetes.
  • The RPC URLs and API keys for each of the networks to which the Aquarius will be connected. See this guide for how to obtain the URL and the API key.

Steps

  1. Deploy Elasticsearch service
  2. Deploy Aquarius service

1. Deploy Elasticsearch

It is recommended to deploy Elasticsearch through Helm chart.

a. Once the Elasticsearch pods are running, the database service should be available:

$ kubectl port-forward --namespace ocean svc/elasticsearch-master 9200:9200
Forwarding from 127.0.0.1:9200 -> 9200
Forwarding from [::1]:9200 -> 9200

b. Check that the Elasticsearch service is accessible:

$ curl localhost:9200
{
  "name" : "elasticsearch-master-2",
  "cluster_name" : "elasticsearch",
  "cluster_uuid" : "KMAfL5tVSJWFfmCOklT0qg",
  "version" : {
    "number" : "8.5.2",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "a846182fa16b4ebfcc89aa3c11a11fd5adf3de04",
    "build_date" : "2022-11-17T18:56:17.538630285Z",
    "build_snapshot" : false,
    "lucene_version" : "9.4.1",
    "minimum_wire_compatibility_version" : "7.17.0",
    "minimum_index_compatibility_version" : "7.0.0"
  },
  "tagline" : "You Know, for Search"
}

2. Deploy Aquarius

Aquarius supports indexing multiple chains using a single instance to serve API requests and one instance for each chain that must be indexed.

Aquarius deployment - multiple chains indexing

The following deployment templates could be used for guidance. Some parameters are optional and the template could be adjusted based on these considerations. Common cases are the deployments for one/multiple Ethereum networks:

  • Mainnet
  • Mumbai

a. Create a YAML file for Aquarius configuration.

The following templates (annotated) could be edited and used for deployment.

apiVersion: apps/v1
kind: Deployment
metadata:
  annotations:
  labels:
    app: aquarius
  name: aquarius
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 5
  selector:
    matchLabels:
      app: aquarius
  strategy:
    rollingUpdate:
      maxSurge: 25%
      maxUnavailable: 25%
    type: RollingUpdate
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: aquarius
    spec:
      containers:
      - env:
        - name: LOG_LEVEL
          value: DEBUG
        - name: AQUARIUS_URL
          value: http://0.0.0.0:5000
        - name: AQUARIUS_WORKERS
          value: "4"
        - name: DB_HOSTNAME
          value: < ES service hostname >
        - name: DB_MODULE
          value: elasticsearch
        - name: DB_NAME
          value: aquarius
        - name: DB_PORT
          value: "9200"
        - name: DB_SCHEME
          value: http
        - name: DB_USERNAME
          value: < ES username >
        - name: DB_PASSWORD
          value: < ES password >
        - name: DB_SSL
          value: "false"
        - name: RUN_AQUARIUS_SERVER
          value: "1"
        - name: RUN_EVENTS_MONITOR
          value: "0"
        - name: EVENTS_ALLOW
          value: "0"
        - name: CONFIG_FILE
          value: config.ini
        - name: ALLOWED_PUBLISHERS
          value: '[""]'
        image: oceanprotocol/aquarius:v5.1.2 => check the available versions: https://hub.docker.com/repository/docker/oceanprotocol/aquarius/tags?page=1&ordering=last_updated
        imagePullPolicy: Always
        livenessProbe:
          failureThreshold: 3
          httpGet:
            path: /
            port: 5000
            scheme: HTTP
          initialDelaySeconds: 20
          periodSeconds: 10
          successThreshold: 1
          timeoutSeconds: 2
        name: aquarius
        ports:
        - containerPort: 5000
          protocol: TCP
        readinessProbe:
          failureThreshold: 3
          httpGet:
            path: /
            port: 5000
            scheme: HTTP
          initialDelaySeconds: 20
          periodSeconds: 10
          successThreshold: 1
          timeoutSeconds: 1
        resources:
          limits:
            cpu: 800m
            memory: 1Gi
          requests:
            cpu: 800m
            memory: 1Gi
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
      dnsPolicy: ClusterFirst
      restartPolicy: Always
      schedulerName: default-scheduler
      terminationGracePeriodSeconds: 30ya

Example deployment for Mumbai (Polygon testnet):

apiVersion: apps/v1
kind: Deployment
metadata:
  annotations:
  labels:
    app: aquarius-events-mumbai
  name: aquarius-events-mumbai
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 5
  selector:
    matchLabels:
      app: aquarius-events-mumbai
  strategy:
    rollingUpdate:
      maxSurge: 25%
      maxUnavailable: 25%
    type: RollingUpdate
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: aquarius-events-mumbai
    spec:
      containers:
      - env:
        - name: LOG_LEVEL
          value: DEBUG
        - name: AQUARIUS_URL
          value: http://0.0.0.0:5000
        - name: AQUARIUS_WORKERS
          value: "1"
        - name: DB_HOSTNAME
          value: < ES service hostname >
        - name: DB_MODULE
          value: elasticsearch
        - name: DB_NAME
          value: aquarius
        - name: DB_PORT
          value: "9200"
        - name: DB_SCHEME
          value: http
        - name: DB_USERNAME
          value: < ES username >
        - name: DB_PASSWORD
          value: < ES password >
        - name: DB_SSL
          value: "false"
        - name: RUN_AQUARIUS_SERVER
          value: "0"
        - name: RUN_EVENTS_MONITOR
          value: "1"
        - name: CONFIG_FILE
          value: config.ini
        - name: ALLOWED_PUBLISHERS
          value: '[""]'
        - name: NETWORK_NAME
          value: mumbai
        - name: EVENTS_RPC
          value: https://polygon-mumbai.infura.io/v3/< INFURA ID > => or another RPC service for this network
        - name: METADATA_UPDATE_ALL
          value: "0"
        - name: ASSET_PURGATORY_URL
          value: https://raw.githubusercontent.com/oceanprotocol/list-purgatory/main/list-assets.json
        - name: ACCOUNT_PURGATORY_URL
          value: https://raw.githubusercontent.com/oceanprotocol/list-purgatory/main/list-accounts.json
        - name: PURGATORY_UPDATE_INTERVAL
          value: "60"
        - name: OCEAN_ADDRESS
          value: 0xd8992Ed72C445c35Cb4A2be468568Ed1079357c8
        - name: SUBGRAPH_URLS
          value: |
            {"80001": "https://v4.subgraph.mumbai.oceanprotocol.com"} => or your own deployed Ocean Subgraph service for this network            
        - name: BLOCKS_CHUNK_SIZE
          value: "3500"
        - name: EVENTS_HTTP
          value: "1"
        image: oceanprotocol/aquarius:v5.1.2 => check the available versions: https://hub.docker.com/repository/docker/oceanprotocol/aquarius/tags?page=1&ordering=last_updated
        imagePullPolicy: Always
        livenessProbe:
          failureThreshold: 3
          httpGet:
            path: /
            port: 5001
            scheme: HTTP
          initialDelaySeconds: 20
          periodSeconds: 10
          successThreshold: 1
          timeoutSeconds: 1
        name: aquarius-events-mumbai
        ports:
        - containerPort: 5000
          protocol: TCP
        readinessProbe:
          failureThreshold: 3
          httpGet:
            path: /
            port: 5001
            scheme: HTTP
          initialDelaySeconds: 20
          periodSeconds: 10
          successThreshold: 1
          timeoutSeconds: 1
        resources:
          limits:
            cpu: 500m
            memory: 1Gi
          requests:
            cpu: 500m
            memory: 1Gi
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
      dnsPolicy: ClusterFirst
      restartPolicy: Always
      schedulerName: default-scheduler
      terminationGracePeriodSeconds: 30

Tip: before deployment, you can validate the yaml file.

b. Deploy the configuration

Deploy the configuration in Kubernetes using the following commands.

$ kubectl apply -f aquarius-deployment.yaml
$ kubectl apply -f aquarius-events-rinkeby-deployment.yaml


kubectl get pods -l app=aquarius
NAME                        READY   STATUS    RESTARTS   AGE
aquarius-6fd9cc975b-fxr4d   1/1     Running   0          1d

 kubectl get pods -l app=aquarius-events-mumbai
NAME                                     READY   STATUS    RESTARTS   AGE
aquarius-events-mumbai-8748976c4-mh24n   1/1     Running   0          1d

Check the logs for newly deployed Aquarius by running the following command:

$ kubectl logs aquarius-6fd9cc975b-fxr4d [--follow]

$ kubectl logs aquarius-events-mumbai-8748976c4-mh24n [--follow]

c. Create a Kubernetes service

The next step is to create a Kubernetes service (eg. ClusterIP, NodePort, Loadbalancer, ExternalName) for this deployment, depending on the environment specifications. Follow this link for details on how to create a Kubernetes service.