如果我尝试使用 3 个不同的多匹配子查询进行搜索:best_fields、cross_fields 和 bool_prefix,ElasticSearch 如何聚合或合并来自每个子查询的文档分数?它甚至有意义吗?
GET my_idx/_search
{
"query": {
"dis_max": {
"tie_breaker": 0.7,
"queries": [
{
"bool": {
"should": [
{
"multi_match": {
"query": "my keywords",
"fields": [
"fieldA.text^10",
"fieldB.text^5",
"fieldC.text^2"
],
"type": "best_fields",
"operator": "AND",
"analyzer" :"my_analyzer",
"boost": 1.0
}
},
{
"nested": {
"path": "fieldArrayA",
"query" :
{
"multi_match": {
"query": "my keywords",
"type": "best_fields",
"operator": "and",
"fields": [
"fieldArrayA.email.text^5",
"fieldArrayA.phone.text^4",
"fieldArrayA.name.text"
]
}
}
}
}
],
"minimum_should_match": 1
}
},
{
"bool": {
"should": [
{
"multi_match": {
"query": "my keywords",
"fields": [
"fieldA.text^10",
"fieldB.text^5",
"fieldC.text^2"
],
"type": "bool_prefix",
"operator": "AND",
"analyzer" :"my_analyzer",
"boost": 1.0
}
},
{
"nested": {
"path": "fieldArrayA",
"query" :
{
"multi_match": {
"query": "my keywords",
"type": "best_fields",
"operator": "and",
"fields": [
"fieldArrayA.email.text^5",
"fieldArrayA.phone.text^4",
"fieldArrayA.name.text"
]
}
}
}
}
],
"minimum_should_match": 1
}
},
{
"bool": {
"should": [
{
"multi_match": {
"query": "my keywords",
"fields": [
"fieldA.text^10",
"fieldB.text^5",
"fieldC.text^2"
],
"type": "cross_fields",
"operator": "AND",
"analyzer" :"my_analyzer",
"boost": 1.0
}
},
{
"nested": {
"path": "fieldArrayA",
"query" :
{
"multi_match": {
"query": "my keywords",
"type": "cross_fields",
"operator": "and",
"fields": [
"fieldArrayA.email.text^5",
"fieldArrayA.phone.text^4",
"fieldArrayA.name.text"
]
}
}
}
}
],
"minimum_should_match": 1
}
}
]
}
},
"from": "0",
"size": "1000"
}
我阅读了文档https://www.elastic.co/guide/en/elasticsearch//reference/current/query-dsl-multi-match-query.html#type-best-fields,但是它是怎么做到的通过组合不同类型的多重匹配查询来工作? 谢谢!