我有以下格式的弹性搜索数据：
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "stellenbosch" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
},
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "Rustenburg" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
},
{
"is_cricketer": 0,
"name": "deVilliers",
"cities": [
{ "name": "Cape town" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
我需要查询弹性搜索，以获取is_cricketer = 1的所有个人资料以及cities.name和name字段的字段的OR查询。即
( profile.is_cricketer == 1 && (profile.name == 'Abraham' || profile.cities[i].name == 'Nelspruit' ))
要在字段cities.name和name字段中获取带有OR查询的配置文件，以便匹配查询字符串，如下所示，它可以正常工作：
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
使用字段is_cricketer = 1获取所有配置文件的必须查询如下：
{
"must": {
"match": {
"is_cricketer": "1"
}
}
}
以上两个查询工作正常，我正在尝试将两个查询组合如下：
{
"query": {
"bool": {
"must": {
"match": {
"is_cricketer": "1"
}
},
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
}
}
}
未返回预期结果，其返回的所有配置文件均为is_cricketer = 1，未过滤name和cities.name。
我还尝试将should查询包含在必须查询内，如下所示：
{
"query": {
"bool": {
"must": [{
"match": {
"is_cricketer": "1"
}
}, {
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
}]
}
}
}
但是我在上述查询中遇到以下错误：
“错误：[parsing_exception] [应该]查询格式错误，没有start_object 查询名称之后，{line = 1＆amp; col = 64} 在回应时（/GitRepo/project/node_modules/elasticsearch/src/lib/transport.js:30:15） at checkRespForFailure（/GitRepo/project/node_modules/elasticsearch/src/lib/transport.js:266:7） 在HttpConnector。 （/GitRepo/project/node_modules/elasticsearch/src/lib/connectors/http.js:159:7） 在IncomingMessage.bound（/GitRepo/project/node_modules/elasticsearch/node_modules/lodash/dist/lodash.js:729:21） 在emitNone（events.js：111：20） 在IncomingMessage.emit（events.js：208：7） at endReadableNT（_stream_readable.js：1056：12） at _combinedTickCallback（internal / process / next_tick.js：138：11） at process._tickCallback（internal / process / next_tick.js：180：9）“
如何组合这两个查询以获得所需的结果。任何帮助将不胜感激。
答案 0 :(得分：10)
如果您想在must内部查询应查询，则可以按以下方式使用
{
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{
... your query here
}
]
}
}
]
}
}
}
答案 1 :(得分：2)
这适用于ES 6.0。
PUT test1
{
"mappings": {
"type1": {
"properties": {
"cities": {
"type": "nested"
}
}
}
}
}
POST test1/type1
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "stellenbosch" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
POST test1/type1
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "Rustenburg" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
POST test1/type1
{
"is_cricketer": 0,
"name": "deVilliers",
"cities": [
{ "name": "Cape town" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
GET test1/type1/_search
{
"query": {
"bool": {
"must": [
{
"term": {
"is_cricketer": {
"value": 1
}
}
}
],
"should": [
{
"term": {
"name.keyword": {
"value": "Abraham"
}
}
},
{
"nested": {
"path": "cities",
"query": {
"term": {
"cities.name.keyword": {
"value": "Nelspruit"
}
}
}
}
}
]
}
}
}
"hits": {
"total": 2,
"max_score": 2.2685113,
"hits": [
{
"_index": "test1",
"_type": "type1",
"_id": "zgcesWIBVwCaLf8KSuDi",
"_score": 2.2685113,
"_source": {
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{
"name": "stellenbosch"
},
{
"name": "Nelspruit"
},
{
"name": "East London"
}
]
}
},
{
"_index": "test1",
"_type": "type1",
"_id": "eAQesWIBbxh35CpKckEH",
"_score": 2.2685113,
"_source": {
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{
"name": "Rustenburg"
},
{
"name": "Nelspruit"
},
{
"name": "East London"
}
]
}
}
]
}