如何在 should 和 must 弹性搜索 bool 查询之间建立 AND 条件
How to built AND condition between should and must elastic search bool query
这是示例 USER 文档
{
"id" : "1234567",
"userId" : "testuser01",
"firstName" : "firstname",
"lastName" : "lastname",
"orgId" : "567890",
"phoneNumber" : "1234567890"
}
我想建立一个搜索查询,我想在其中提取属于特定 orgId 并且与用户在任何字段中输入的搜索文本相匹配的所有用户(用户 ID、名字等)
例如。如果使用文本“first”进行搜索,我想提取所有属于特定 orgId 的记录以及其中包含 first 的字段。
我正在尝试的示例查询是
"query" : {
"bool" : {
"must" : [
{
"term" : {
"orgId.keyword" : {
"value" : "567890",
"boost" : 1.0
}
}
}
],
"should" : [
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"lastName^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"userId^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"orgId^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"firstName^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"phoneNumber^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"id^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
}
],
"disable_coord" : false,
"adjust_pure_negative" : true,
"boost" : 1.0
}
},
"sort" : [
{
"userId.keyword" : {
"order" : "asc"
}
}
]
}
我面临的问题是,我想在 MUST 和 SHOULD 之间设置 AND 条件。
您不需要为 query_string
查询中的每个字段指定查询。相反,您可以指定字段列表,如下所示:
{
"query": {
"bool": {
"must": [
{
"term": {
"orgId.keyword": {
"value": "567890",
"boost": 1
}
}
},
{
"simple_query_string": {
"query": "first*",
"fields": [
"lastName^1.0",
"userId^1.0",
"orgId^1.0",
"firstName^1.0",
"phoneNumber^1.0",
"id^1.0"
]
}
}
]
}
},
"sort": [
{
"userId.keyword": {
"order": "asc"
}
}
]
}
也来回答
How to built AND condition between should and must elastic search bool query?
这是一个示例查询:
{
"query": {
"bool": {
"must": [
{
"term": {
"field1": "someval"
}
},
{
"bool": {
"should": [
{
"terms": {
"field2": [
"v1",
"v2"
]
}
},
{
"query_string": {
"query": "this AND that OR thus"
}
}
]
}
}
]
}
}
}
这是示例 USER 文档
{
"id" : "1234567",
"userId" : "testuser01",
"firstName" : "firstname",
"lastName" : "lastname",
"orgId" : "567890",
"phoneNumber" : "1234567890"
}
我想建立一个搜索查询,我想在其中提取属于特定 orgId 并且与用户在任何字段中输入的搜索文本相匹配的所有用户(用户 ID、名字等)
例如。如果使用文本“first”进行搜索,我想提取所有属于特定 orgId 的记录以及其中包含 first 的字段。
我正在尝试的示例查询是
"query" : {
"bool" : {
"must" : [
{
"term" : {
"orgId.keyword" : {
"value" : "567890",
"boost" : 1.0
}
}
}
],
"should" : [
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"lastName^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"userId^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"orgId^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"firstName^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"phoneNumber^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
},
{
"simple_query_string" : {
"query" : "first*",
"fields" : [
"id^1.0"
],
"flags" : -1,
"default_operator" : "or",
"lenient" : false,
"analyze_wildcard" : true,
"boost" : 1.0
}
}
],
"disable_coord" : false,
"adjust_pure_negative" : true,
"boost" : 1.0
}
},
"sort" : [
{
"userId.keyword" : {
"order" : "asc"
}
}
]
}
我面临的问题是,我想在 MUST 和 SHOULD 之间设置 AND 条件。
您不需要为 query_string
查询中的每个字段指定查询。相反,您可以指定字段列表,如下所示:
{
"query": {
"bool": {
"must": [
{
"term": {
"orgId.keyword": {
"value": "567890",
"boost": 1
}
}
},
{
"simple_query_string": {
"query": "first*",
"fields": [
"lastName^1.0",
"userId^1.0",
"orgId^1.0",
"firstName^1.0",
"phoneNumber^1.0",
"id^1.0"
]
}
}
]
}
},
"sort": [
{
"userId.keyword": {
"order": "asc"
}
}
]
}
也来回答
How to built AND condition between should and must elastic search bool query?
这是一个示例查询:
{
"query": {
"bool": {
"must": [
{
"term": {
"field1": "someval"
}
},
{
"bool": {
"should": [
{
"terms": {
"field2": [
"v1",
"v2"
]
}
},
{
"query_string": {
"query": "this AND that OR thus"
}
}
]
}
}
]
}
}
}