- elasticsearch/
elasticsearch 使用过滤器根据嵌套字段值修改elasticsearch分数
elasticsearch 使用过滤器根据嵌套字段值修改elasticsearch分数
Elasticsearch版本：7.11 我的索引结构如下：
PUT /my-test-index
{
"mappings": {
"properties": {
"brand": {
"type": "text"
},
"id": {
"type": "keyword"
},
"availabilityId": {
"type": "integer"
},
"priorities": {
"type": "nested",
"properties": {
"typeId": {
"type": "keyword"
},
"value": {
"type": "integer"
}
}
},
"title": {
"type": "text"
}
}
}
}
POST /my-test-index/_doc
{
"id": 1,
"brand": "Milk One",
"availabilityId": 1,
"title": "Great Value 2% Reduced-Fat Milk, 0.5 Gallon, 64 Fl. Oz",
"priorities": [
{
"typeId": 1,
"value": 3000
},
{
"typeId": 2,
"value": 4000
}
]
}
POST /my-test-index/_doc
{
"id": 2,
"brand": "Milky Two",
"availabilityId": 2,
"title": "Great Value 3.5% Milk Fat Whole Milk, 64 Fl Oz",
"priorities": [
{
"typeId": 1,
"value": 1000
},
{
"typeId": 2,
"value": 3000
}
]
}
POST /my-test-index/_doc
{
"id": 3,
"brand": "Nesty",
"availabilityId": 3,
"title": "Great Value 1% Low-Fat Milk, 128 Fl Oz"
}
POST /my-test-index/_doc
{
"id": 4,
"brand": "No milk",
"availabilityId": 4,
"title": "Almond Breeze Vanilla Almondmilk",
"priorities": [
{
"typeId": 1,
"value": 6000
},
{
"typeId": 2,
"value": 2000
}
]
}
POST /my-test-index/_search?typed_keys=true
{
"query": {
"bool": {
"filter": [
{
"bool": {
"filter": [
{
"terms": {
"availabilityId": [
"1",
"2",
"3"
]
}
}
]
}
}
],
"must": [
{
"bool": {
"should": [
{
"multi_match": {
"fields": [
"title^100",
"brand^15"
],
"fuzziness": 0,
"minimum_should_match": "2<80%",
"query": "milk",
"type": "most_fields"
}
}
]
}
}
],
"should": [
{
"nested": {
"path": "priorities",
"query": {
"function_score": {
"query": {
"match": {
"priorities.typeId": "1"
}
},
"functions": [
{
"field_value_factor": {
"field": "priorities.value",
"modifier": "log1p",
"missing": 6000
}
}
]
}
}
}
}
]
}
},
"sort": [
{
"_score": {
"order": "desc"
}
},
{
"_id": {
"order": "asc"
}
}
]
}
POST/my test index/\u search？键入的\u keys=true
{
“查询”：{
“布尔”：{
“过滤器”：[
{
“布尔”：{
“过滤器”：[
{
“条款”：{
“可用性ID”：[
"1",
"2",
"3"
]
}
}
]
}
}
],
“必须”：[
{
“布尔”：{
“应该”：[
{
“多重匹配”：{
“字段”：[
“标题^100”，
“品牌^15”
],
“模糊性”：0，
“最小应匹配”：“2我使用函数脚本\u分数解决了我的问题：
POST /my-test-index/_search?typed_keys=true
{
"query": {
"function_score": {
"functions": [
{
"script_score": {
"script" : """double priority1 = 6000; if(params._source["priorities"] != null){for (int i = 0; i < params._source["priorities"].length; ++i){ if(params._source["priorities"][i].typeId == 1) priority1 = params._source["priorities"][i].value;}} return Math.log10(priority1 + 1);"""
}
}
],
"query": {
"bool": {
"filter": [
{
"bool": {
"filter": [
{
"terms": {
"availabilityId": [
"1",
"2",
"3"
]
}
}
]
}
}
],
"must": [
{
"bool": {
"should": [
{
"multi_match": {
"fields": [
"title^100",
"brand^15"
],
"fuzziness": 0,
"minimum_should_match": "2<80%",
"query": "milk",
"type": "most_fields"
}
}
]
}
}
]
}
}
}
},
"sort": [
{
"_score": {
"order": "desc"
}
},
{
"_id": {
"order": "asc"
}
}
]
}
POST/my test index/\u search？键入的\u keys=true
{
“查询”：{
“功能评分”：{
“职能”：[
{
“脚本_分数”：{
“脚本”：“”“双优先级1=6000；if（params._source[“priorities”！=null）{for（int i=0；i