Installation


Installation

Crawlab Pro is distributed via Dockeropen in new window. You can install it on any platform that supports Docker.

Prerequisites

Tips

If you don't know how to set up Docker environment, please refer to the Installation via Docker section.

  • Docker Environment. Please make sure you have installed Docker and Docker Compose on your machine.
  • License. You need to have a valid license to initialize and start Crawlab Pro containers.

Main Process

Tips

If you don't know how to obtain licenses, please refer to Crawlab Pro License for more information.

The main process of installing Crawlab Pro is quite similar to that of Crawlab Community except that it requires a license. You can refer to Crawlab Community Installation via Docker for more information.

  1. Install Dockeropen in new window and Docker-Composeopen in new window
  2. Pull Docker image of Crawlab Pro (and MongoDB if you have no external MongoDB instance)
  3. Create docker-compose.yml and make configurations (including licenses)
  4. Start Docker containers

Note

For following guidance, we will assume you have installed Docker and Docker-Compose, and already pulled Docker images.

Standalone-Node Deployment

Standalone-Node Deployment (SND) is similar to the configuration in Quick Start, and it is normally for demo purpose or managing a small number of crawlers. In SND, all Docker containers including Crawlab and MongoDB are in only a single machine, i.e. Master Node (see diagram above).

Create docker-compose.yml and enter the content below.

version: '3.3'
services:
  master:
    image: crawlabteam/crawlab-pro
    container_name: crawlab_master
    restart: always
    environment:
      CRAWLAB_LICENSE: "your license"  # your license
      CRAWLAB_NODE_MASTER: "Y"  # Y: master node
      CRAWLAB_MONGO_HOST: "mongo"  # mongo host address. In the docker compose network, directly refer to the service name
      CRAWLAB_MONGO_PORT: "27017"  # mongo port 
      CRAWLAB_MONGO_DB: "crawlab"  # mongo database 
      CRAWLAB_MONGO_USERNAME: "username"  # mongo username
      CRAWLAB_MONGO_PASSWORD: "password"  # mongo password 
      CRAWLAB_MONGO_AUTHSOURCE: "admin"  # mongo auth source 
    volumes:
      - "/opt/crawlab/.crawlab/master:/root/.crawlab"  # persistent crawlab home directory
      - "/opt/crawlab/master:/data"  # persistent crawlab data
    ports:
      - "8080:8080"  # exposed api port
    depends_on:
      - mongo

  mongo:
    image: mongo:4.2
    restart: always
    environment:
      MONGO_INITDB_ROOT_USERNAME: "username"  # mongo username
      MONGO_INITDB_ROOT_PASSWORD: "password"  # mongo password
    volumes:
      - "/opt/crawlab/mongo/data/db:/data/db"  # persistent mongo data
    ports:
      - "27017:27017"  # expose mongo port to host machine

Then, execute docker-compose up -d and navigate to http://<your_ip>:8080 in the browser to start using Crawlab.

Multi-Node Deployment

Multi-Node Deployment (MND) is normally used in production environment, where a cluster consisted of a Master Node and multiple Worker Nodes is deployed. Master Node is connected by Worker Nodes, and it serves as the central control system in the cluster.

The configuration for MND is more complex than SND, but you can follow the guidelines below to set up a small cluster, which would be quite straightforward.

Set up Master Node

Create docker-compose.yml in Master Node and enter the content below. Then start by executing docker-compose up -d.

# master node
version: '3.3'
services:
  master:
    image: crawlabteam/crawlab-pro
    container_name: crawlab_master
    restart: always
    environment:
      CRAWLAB_LICENSE: "your license"  # your license
      CRAWLAB_NODE_MASTER: "Y"  # Y: master node
      CRAWLAB_MONGO_HOST: "mongo"  # mongo host address. In the docker compose network, directly refer to the service name
      CRAWLAB_MONGO_PORT: "27017"  # mongo port 
      CRAWLAB_MONGO_DB: "crawlab"  # mongo database 
      CRAWLAB_MONGO_USERNAME: "username"  # mongo username
      CRAWLAB_MONGO_PASSWORD: "password"  # mongo password 
      CRAWLAB_MONGO_AUTHSOURCE: "admin"  # mongo auth source 
    volumes:
      - "/opt/crawlab/.crawlab/master:/root/.crawlab"  # persistent crawlab home directory
      - "/opt/crawlab/master:/data"  # persistent crawlab data
    ports:
      - "8080:8080"  # exposed api port
      - "9666:9666"  # exposed grpc port
    depends_on:
      - mongo

  mongo:
    image: mongo:4.2
    restart: always
    environment:
      MONGO_INITDB_ROOT_USERNAME: "username"  # mongo username
      MONGO_INITDB_ROOT_PASSWORD: "password"  # mongo password
    volumes:
      - "/opt/crawlab/mongo/data/db:/data/db"  # persistent mongo data
    ports:
      - "27017:27017"  # expose mongo port to host machine

Set up Worker Nodes

Create docker-compose.yml in each Worker Node and enter the content below. Then start by executing docker-compose up -d.

# worker node
version: '3.3'
services:
  worker:
    image: crawlabteam/crawlab-pro
    container_name: crawlab_worker
    restart: always
    environment:
      CRAWLAB_LICENSE: "your license"  # your license
      CRAWLAB_NODE_MASTER: "N"  # N: worker node
      CRAWLAB_GRPC_ADDRESS: "<master_node_ip>:9666"  # grpc address
      CRAWLAB_FS_FILER_URL: "http://<master_node_ip>:8080/api/filer"  # seaweedfs api
    volumes:
      - "/opt/crawlab/.crawlab/worker:/root/.crawlab"  # persistent crawlab home directory
      - "/opt/crawlab/worker:/data"  # persistent crawlab data

Please note that you should replace <master_node_ip> with the IP address of Master Node and make sure it is accessible by Worker Nodes.

After Master Node and Worker Nodes are all started, you can now navigate to http://<master_node_ip>:8080 to start using Crawlab.

Note

Expose ports of Master Node

As Worker Nodes connect to Master Node through ports 8080 (API) and 9666 (gRPC), you should make sure they are both opened and NOT blocked by firewall on Master Node.

External MongoDB

In MND introduced above, you may notice that MongoDB is by default deployed on Master Node. But performance wise, this handy deployment configuration can result in problems, because MongoDB itself can be a bottleneck particularly in a large-scale distributed system.

Fortunately, this issue can be resolved by using external MongoDB deployed in other nodes, or from cloud database service providers, e.g. AWS, Azure, Aliyun etc. By doing so, MongoDB can be easily scaled so that the database robustness would be ensured. Please refer to the diagram below.

The configuration file docker-compose.yml for Master Node is slightly different from that of default MND. Please find the content as below.

# master node with external mongo
version: '3.3'
services:
  master:
    image: crawlabteam/crawlab-pro
    container_name: crawlab_master
    restart: always
    environment:
      CRAWLAB_LICENSE: "your license"  # your license
      CRAWLAB_NODE_MASTER: "Y"  # Y: master node
      CRAWLAB_MONGO_URI: "<mongo_uri>"  # mongo uri (set this alone)
      CRAWLAB_MONGO_HOST: "<mongo_host>"  # mongo host address
      CRAWLAB_MONGO_PORT: "<mongo_port>"  # mongo port 
      CRAWLAB_MONGO_DB: "<mongo_db>"  # mongo database 
      CRAWLAB_MONGO_USERNAME: "<mongo_username>"  # mongo username
      CRAWLAB_MONGO_PASSWORD: "<mongo_password>"  # mongo password 
      CRAWLAB_MONGO_AUTHSOURCE: "<mongo_auth_source>"  # mongo auth source 
      CRAWLAB_MONGO_AUTHMECHANISM: "<mongo_auth_mechanism>"  # mongo auth mechanism 
      CRAWLAB_MONGO_AUTHMECHANISMPROPERTIES: "<mongo_auth_mechanism_properties>"  # mongo auth mechanism properties
    volumes:
      - "/opt/crawlab/.crawlab/master:/root/.crawlab"  # persistent crawlab home directory
      - "/opt/crawlab/master:/data"  # persistent crawlab data
    ports:
      - "8080:8080"  # exposed api port
      - "9666:9666"  # exposed grpc port

As you can see, the service mongo is removed and MongoDB-related connection environment variables ( e.g. CRAWLAB_MONGO_HOST, CRAWLAB_MONGO_PORT) are changed to those of external MongoDB. You can leave some environment variables empty if you don't need them.