Elasticsearch

PUT /products
{
  "settings": {
    "number_of_shards": 3,
    "number_of_replicas": 1,
    "analysis": {
      "analyzer": {
        "korean": {
          "type": "custom",
          "tokenizer": "nori_tokenizer"
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "analyzer": "korean",
        "fields": {
          "keyword": { "type": "keyword" }
        }
      },
      "description": { "type": "text", "analyzer": "korean" },
      "price": { "type": "integer" },
      "category": { "type": "keyword" },
      "created_at": { "type": "date" },
      "tags": { "type": "keyword" }
    }
  }
}

# 문서 색인
POST /products/_doc
{
  "name": "맥북 프로 16인치",
  "description": "M3 Pro 칩 탑재 고성능 노트북",
  "price": 3490000,
  "category": "electronics",
  "tags": ["laptop", "apple", "premium"],
  "created_at": "2024-01-15"
}

# ID 지정 색인
PUT /products/_doc/1
{
  "name": "아이패드 프로",
  "description": "M2 칩, Liquid Retina XDR 디스플레이",
  "price": 1729000,
  "category": "electronics",
  "tags": ["tablet", "apple"]
}

# 문서 조회
GET /products/_doc/1

# Match Query (전문 검색)
GET /products/_search
{
  "query": {
    "match": {
      "description": "고성능 노트북"
    }
  }
}

# Bool Query (복합 조건)
GET /products/_search
{
  "query": {
    "bool": {
      "must": [
        { "match": { "description": "노트북" } }
      ],
      "filter": [
        { "term": { "category": "electronics" } },
        { "range": { "price": { "gte": 1000000, "lte": 3000000 } } }
      ],
      "should": [
        { "term": { "tags": "premium" } }
      ],
      "minimum_should_match": 1
    }
  },
  "sort": [
    { "price": "asc" },
    "_score"
  ],
  "from": 0,
  "size": 10
}

GET /products/_search
{
  "size": 0,
  "aggs": {
    "category_stats": {
      "terms": {
        "field": "category",
        "size": 10
      },
      "aggs": {
        "avg_price": { "avg": { "field": "price" } },
        "max_price": { "max": { "field": "price" } },
        "price_ranges": {
          "range": {
            "field": "price",
            "ranges": [
              { "to": 1000000 },
              { "from": 1000000, "to": 2000000 },
              { "from": 2000000 }
            ]
          }
        }
      }
    },
    "daily_sales": {
      "date_histogram": {
        "field": "created_at",
        "calendar_interval": "day"
      }
    }
  }
}

from elasticsearch import Elasticsearch

es = Elasticsearch(['http://localhost:9200'])

# 문서 색인
doc = {
    'name': '맥북 에어',
    'price': 1690000,
    'category': 'electronics'
}
es.index(index='products', id=1, document=doc)

# 검색
query = {
    'bool': {
        'must': [{'match': {'name': '맥북'}}],
        'filter': [{'range': {'price': {'lte': 2000000}}}]
    }
}
results = es.search(index='products', query=query)

for hit in results['hits']['hits']:
    print(f"Score: {hit['_score']}, Name: {hit['_source']['name']}")

# Bulk 색인 (대량 데이터)
from elasticsearch.helpers import bulk

actions = [
    {'_index': 'products', '_id': i, '_source': {'name': f'Product {i}'}}
    for i in range(1000)
]
bulk(es, actions)