チェン= 004:ADicionando Filtro na buscaは、弾性検索をします

アンデスデContinarmos N .
ヌルウス
vamos instalar e iniciar o kibana鬼花歌- Usu Interface de Usu Le Gratuita e Aberta Para Voc

Edite o Arquivo Dockerの作成AILLIE :

version: '3.3'

services:
  cluster-elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.14.0
    container_name: cluster-elasticsearch
    ports:
      - "9202:9200"
    environment:
      - discovery.type=single-node

  kibana:
    image: docker.elastic.co/kibana/kibana:7.14.0
    container_name: kibana
    ports: 
      - "5601:5601"
    environment: 
      - ELASTICSEARCH_HOSTS=http://cluster-elasticsearch:9200

アセスエムhttp://localhost:5601 , メニュープリンシパルのem - devツール

アンデスde fazermos a a busca、vamos adicionar mais document entos.ポドモスオス_bulk <研究ノート> A . A .ルネッサンスにおけるドキュメンテーション100 clientes aleatórios .

POST _bulk
{"index":{"_index":"customers","_id":1}}
{"id":1,"name":"Mrs. Leonard Roob","email":"[email protected]","age":97,"createdAt":"2021-08-21T03:16:33.099Z"}
{"index":{"_index":"customers","_id":2}}

...5分後
エーモスデFiltrar OS clientes por idadeを想像してください.セド・アッシム・ポデモス・サウルterm query . トメイン・ドキュメントトスについて

GET customers/_search
{
  "query": {
    "term": {
      "age": 18
    }
  }
}

iConualは、18のanos .

{
  "took" : 2,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 4,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "customers",
        "_type" : "_doc",
        "_id" : "55",
        "_score" : 1.0,
        "_source" : {
          "id" : 55,
          "name" : "Mrs. Mable Ritchie",
          "email" : "[email protected]",
          "age" : 18,
          "createdAt" : "2021-08-21T03:16:33.116Z"
        }
      },
      {
        "_index" : "customers",
        "_type" : "_doc",
        "_id" : "78",
        "_score" : 1.0,
        "_source" : {
          "id" : 78,
          "name" : "Lauren Howell",
          "email" : "[email protected]",
          "age" : 18,
          "createdAt" : "2021-08-21T03:16:33.123Z"
        }
      },
      {
        "_index" : "customers",
        "_type" : "_doc",
        "_id" : "82",
        "_score" : 1.0,
        "_source" : {
          "id" : 82,
          "name" : "Phillip Schulist",
          "email" : "[email protected]",
          "age" : 18,
          "createdAt" : "2021-08-21T03:16:33.124Z"
        }
      },
      {
        "_index" : "customers",
        "_type" : "_doc",
        "_id" : "89",
        "_score" : 1.0,
        "_source" : {
          "id" : 89,
          "name" : "Warren Crooks",
          "email" : "[email protected]",
          "age" : 18,
          "createdAt" : "2021-08-21T03:16:33.126Z"
        }
      }
    ]
  }
}

⚠️ Atenção:

Por padrão o Elasticsearch utiliza standard analyzer para campos do tipo text. Ex: O nome Mrs. Mable Ritchieé indexado as palavras separadamente sem pontuação como um array [mrs, mable, ritchie]

Usando o term não será possível filtrar o nome completo. Nos próximos artigos iremos falar sobre esses casos.