带有不同权重的多字段上的Elasticsearch完成建议

Z时代
2024-01-10
分类：问答

我在Elasticsearch中使用“完成建议程序”来允许部分单词匹配查询。在我的索引（products_index）中，我希望能够同时查询

字段和字段。这是我的映射：

POST /product_index
mappings: {
  products: {
    properties: {
      brand: {
        type: "string",
        analyzer: "english"
      },
      product_name: {
        type: "string",
        analyzer: "english"
      },
      id: {
        type: "long"
      },
      lookup_count: {
        type: "long"
      },
      suggest: {
        type: "completion",
        analyzer: "simple",
        payloads: true,
        preserve_separators: true,
        preserve_position_increments: true,
        max_input_length: 50
      },
      upc: {
        type: "string"
      }
    }
  }
}

这是我的数据：

POST /product_index/products/2 { id: 2, brand: "Coca-Cola", product_name: "Classic Coke", suggest: { input: [ "Classic Coke", "Coca-Cola" ], output: "Classic Coke - Coca-Cola", payload: { id: 2, product_name: "Classic Coke", brand: "Coca-Cola", popularity: 10 }, weight: 0 } }

这是我的查询：

POST /product_index/_search
"suggest": {
  "product_suggest": {
    "text": 'coca-co',
    "completion": {
      "field": 'suggest'
    }
  }
}

效果很好，除了我想给字段赋予比字段更高的权重。有什么办法可以实现？我已经研究了有关使用

查询的文章，但是我对Elasticsearch还是很陌生，并且不确定如何在完成建议程序的情况下应用它。

非常感谢！

回答：

就像氧化还原所说的那样，完成建议器确实很简单，不支持条目提升。我的解决方案是创建两个建议字段，一个用于品牌，一个用于产品名称：

POST /product_index { "mappings": { "products": { "properties": { "brand": { "type": "string", "analyzer": "english" }, "product_name": { "type": "string", "analyzer": "english" }, "id": { "type": "long" }, "lookup_count": { "type": "long" }, "product-suggest": { "type": "completion", "analyzer": "simple", "payloads": true, "preserve_separators": true, "preserve_position_increments": true, "max_input_length": 50 }, "brand-suggest": { "type": "completion", "analyzer": "simple", "payloads": true, "preserve_separators": true, "preserve_position_increments": true, "max_input_length": 50 }, "upc": { "type": "string" } } } } }

编制索引时，请填写两个字段：

POST /product_index/products/2 { "id": 2, "brand": "Coca-Cola", "product_name": "Classic Coke", "brand-suggest": { "input": [ "Coca-Cola" ], "output": "Classic Coke - Coca-Cola", "payload": { "id": 2, "product_name": "Classic Coke", "brand": "Coca-Cola", "popularity": 10 } }, "product-suggest": { "input": [ "Classic Coke" ], "output": "Classic Coke - Coca-Cola", "payload": { "id": 2, "product_name": "Classic Coke", "brand": "Coca-Cola", "popularity": 10 } } }

查询时，同时对品牌和产品建议者提出建议：

POST /product_index/_search
{
    "suggest": {
      "product_suggestion": {
        "text": "coca-co",
        "completion": {
          "field": "product-suggest"
        }
      },
      "brand_suggestion": {
        "text": "coca-co",
        "completion": {
          "field": "brand-suggest"
        }
      }
    }
}