Getting Started with Elasticsearch — Installation, Indexes, Queries, and Connecting Kibana

# Quick start with Docker Compose
cat > docker-compose.yml << 'EOF'
version: '3.8'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:8.13.0
    environment:
      - discovery.type=single-node
      - xpack.security.enabled=false
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ports:
      - "9200:9200"
    volumes:
      - esdata:/usr/share/elasticsearch/data

  kibana:
    image: docker.elastic.co/kibana/kibana:8.13.0
    ports:
      - "5601:5601"
    environment:
      - ELASTICSEARCH_HOSTS=http://elasticsearch:9200

volumes:
  esdata:
EOF

docker compose up -d

# Check status
curl http://localhost:9200

# Create an index (explicit mapping)
curl -X PUT http://localhost:9200/products \
  -H 'Content-Type: application/json' -d '{
  "settings": {
    "number_of_shards": 1,
    "number_of_replicas": 0
  },
  "mappings": {
    "properties": {
      "name":        { "type": "text", "analyzer": "standard" },
      "price":       { "type": "float" },
      "category":    { "type": "keyword" },
      "stock":       { "type": "integer" },
      "createdAt":   { "type": "date" },
      "description": { "type": "text" }
    }
  }
}'

# List indexes
curl http://localhost:9200/_cat/indices?v

# Delete an index
curl -X DELETE http://localhost:9200/products

# Add a document
curl -X POST http://localhost:9200/products/_doc \
  -H 'Content-Type: application/json' -d '{
 "name": " Pro 15",
  "price": 1500000,
  "category": "electronics",
  "stock": 50,
  "createdAt": "2025-05-27"
}'

# Add or update with a specified ID
curl -X PUT http://localhost:9200/products/_doc/1 \
  -H 'Content-Type: application/json' -d '{
 "name": " ",
  "price": 35000,
  "category": "accessories",
  "stock": 200
}'

# Get a document
curl http://localhost:9200/products/_doc/1

# Partial update
curl -X POST http://localhost:9200/products/_update/1 \
  -H 'Content-Type: application/json' -d '{
  "doc": { "price": 32000, "stock": 180 }
}'

# Delete a document
curl -X DELETE http://localhost:9200/products/_doc/1

# match — full-text search (analyzed)
curl -X GET http://localhost:9200/products/_search \
  -H 'Content-Type: application/json' -d '{
  "query": {
 "match": { "name": "" }
  }
}'

# term — exact value match (keyword type)
curl -X GET http://localhost:9200/products/_search \
  -H 'Content-Type: application/json' -d '{
  "query": {
    "term": { "category": "electronics" }
  }
}'

# range — range query
curl -X GET http://localhost:9200/products/_search \
  -H 'Content-Type: application/json' -d '{
  "query": {
    "range": {
      "price": { "gte": 100000, "lte": 2000000 }
    }
  }
}'

# bool — compound query
curl -X GET http://localhost:9200/products/_search \
  -H 'Content-Type: application/json' -d '{
  "query": {
    "bool": {
 "must": [{ "match": { "name": "" } }],
      "filter": [{ "term":  { "category": "electronics" } }],
      "must_not": [{ "range": { "stock": { "lte": 0 } } }]
    }
  },
  "sort": [{ "price": "asc" }],
  "from": 0,
  "size": 10
}'

curl -X GET http://localhost:9200/products/_search \
  -H 'Content-Type: application/json' -d '{
  "size": 0,
  "aggs": {
    "by_category": {
      "terms": { "field": "category", "size": 10 }
    },
    "avg_price": {
      "avg": { "field": "price" }
    },
    "price_range": {
      "range": {
        "field": "price",
        "ranges": [
          { "to": 50000 },
          { "from": 50000, "to": 500000 },
          { "from": 500000 }
        ]
      }
    }
  }
}'

# Install the nori plugin (Docker)
docker exec -it elasticsearch \
  bin/elasticsearch-plugin install analysis-nori

# Create an index with the nori analyzer
curl -X PUT http://localhost:9200/korean-products \
  -H 'Content-Type: application/json' -d '{
  "settings": {
    "analysis": {
      "analyzer": {
        "korean": {
          "type": "nori"
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": { "type": "text", "analyzer": "korean" }
    }
  }
}'