Installing Elasticsearch and Kibana

• Create a docker-compose.yml file to install the Elasticsearch and Kibana by using the following command: docker-compose up -d

• If the installation results in success, you will se a container running by using: docker ps

We have two application:

• The connection with Elasticsearch is running on: http://localhost:9200. Accessing it, we will face something like this:

// 20220325170317
// http://localhost:9200/

{
  "name": "code",
  "cluster_name": "docker-cluster",
  "cluster_uuid": "code",
  "version": {
    "number": "7.9.2",
    "build_flavor": "default",
    "build_type": "docker",
    "build_hash": "code",
    "build_date": "2020-09-23T00:45:33.626720Z",
    "build_snapshot": false,
    "lucene_version": "8.6.2",
    "minimum_wire_compatibility_version": "6.8.0",
    "minimum_index_compatibility_version": "6.0.0-beta1"
  },
  "tagline": "You Know, for Search"
}

• The Kibana dashboard is on: http://localhost:5601. Accessing it, we will face the Kibana Dashboard interface.

Starting our NodeJS Project

• Create a default project using Yarn init -y command: yarn init -y

• Let's add TypeScript to our dependencies only for development: yarn add typescript ts-node-dev -D

• We will need Express to do the requests: yarn add express

• Now we need to add the Express dependency types: yarn add @types/express -D

• Let's add the Elasticsearch dependency and its types: yarn add elasticsearch, yarn add @types/elasticsearch -D

• And for last, let's create out tsconfig.json file: yarn tsc --init

The application runs on http://localhost:3000/, and have the following routes:

http://localhost:3000/episodes/create -> "push" the static data of the episodes list to the Elasticsearch.

http://localhost:3000/episodes/findAll -> show all the results.

http://localhost:3000/episodes/findByID/:id -> find an episode by its ID.