我在Elasticsearch中使用完成建议器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product_name字段和品牌字段。以下是我的映射:
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'
}
}
}
这很好用,除了我想给product_name字段比品牌字段更高的权重。有什么方法可以实现吗?我已经研究了这篇关于使用布尔查询的文章,但我对 Elasticsearch 很陌生,不确定如何在完成建议器的情况下应用它。
多谢!
正如Redox所说,完成建议器非常简单,不支持条目提升。我的解决方案是制作两个建议器字段,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,请同时对品牌和产品建议器提出一个建议:
POST /product_index/_search
{
"suggest": {
"product_suggestion": {
"text": "coca-co",
"completion": {
"field": "product-suggest"
}
},
"brand_suggestion": {
"text": "coca-co",
"completion": {
"field": "brand-suggest"
}
}
}
}
删除重复项后,您可以将品牌建议列表附加到产品建议列表中,以仅包含相关建议的建议列表,没有重复项,并首先列出产品建议。
另一种解决方案是使用查询来提升品牌和产品,而不是使用建议器。但是,此实现速度较慢,因为它不使用建议器。
完成建议器实际上在评分方面非常有限:你不能这样做。您唯一能做的就是提升某些条目,但不提升条目中的属性(请参阅weight
选项 http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-suggesters-completion.html#indexing)。
这是因为完成建议器不执行"真实搜索" ->它不使用索引。这是一个简单的"字典",旨在比索引+倒排列表更快地进行"前缀"扩展。
您应该尝试一下Algolia ->该引擎旨在实时回答前缀搜索+每个属性具有不同的"权重"。这是一个针对多个字段实现自动完成菜单的教程