System Requirements

Component	Version
Operating System	MacOS
Elasticsearch	6.3.0
Visualization Plugin	Head

Installation Process

Single Node Setup

Download Elasticsearch from the official website or alternative sources. The current stable version is available at:

https://www.elastic.co/downloads/elasticsearch

For previous versions, visit:

https://www.elastic.co/downloads/past-releases

After downloading, execute the elasticsearch binary from the bin directory. Verify the installation by accessing:

http://localhost:9200/

Head Plugin Configuration

The Head plugin requires Node.js. After installing Node.js, configure Elasticsearch by adding these lines to elasticsearch.yml:

http.cors.enabled: true
http.cors.allow-origin: "*"

Start the Head plugin with these commands:

npm install phantomjs-prebuilt@2.1.15 --ignore-scripts
npm install
npm run start

Access the interface at:

http://localhost:9100

Cluster Configuration

For a distributed setup, create copies of the Elasticsearch installation. Configure each node's elasticsearch.yml with:

cluster.name: my_cluster
node.name: node_1
network.host: 127.0.0.1
http.port: 8200
discovery.zen.ping.unicast.hosts: ["127.0.0.1"]

Core Concepts

Indexing Structure

Elasticsearch	RDBMS
Index	Database
Type (deprecated)	Table
Document	Row

Sharding and Replication

Each index consists of multiple shards (Lucene indices). Replicas provide redundancy by copying shards.

Configuration Options

cluster.name: production
node.name: primary_node
node.master: true
node.data: true
network.host: 0.0.0.0
http.port: 9200
discovery.zen.minimum_master_nodes: 1

Basic Operations

Index Management

PUT /my_index
{
  "settings": {
    "number_of_shards": 3,
    "number_of_replicas": 1
  }
}

Document Operations

Create document with specified ID:

PUT /index/type/doc_id

Create document with auto-generated ID:

POST /index/type

Update document:

POST /index/type/doc_id/_update
{
  "doc": {
    "field": "new_value"
  }
}

Delete document:

DELETE /index/type/doc_id

Search Queries

Basic search:

GET /index/type/_search
{
  "query": {
    "match": {
      "field": "value"
    }
  }
}

Aggregation queries:

GET /index/type/_search
{
  "aggs": {
    "group_by_field": {
      "terms": {
        "field": "category"
      }
    }
  }
}