弹性 - 在 inner_hits 中查询嵌套对象的多个级别
elastic - query multiple levels on nested object in inner_hits
我有一个巨大的嵌套对象,它有很多层次
我想创建一个查询,它将 return 只有叶子/中间的一些对象,
并且查询应该查询树中的多个级别。
例如:
我的数据库正在保存整个公司结构。
公司 -> 病房 -> 员工 -> 工作时间
我想查询 return 只有本月下午 3 点以后开始的病房 2 员工的工作时间
我尝试使用 inner_hits - 但没有用。
根据要求,示例文档和预期结果:
company:[{
properties:{companyId: 112}
ward:[{
properties: {wardId: 223}
employee:{
properties: {employeeId: 334},
workingHours: [
{ date: "1.1.2021", numOfHours: 4},
{ date: "1.2.2021", numOfHours: 7}
]
}]
}]
}]
查询:
我需要 return 日期“1.2.21”,员工 334,病房 223 的工作时间。而且只有工作时间,而不是整个树。
预期结果:
4 或 { date: "1.1.2021", numOfHours: 4} ,更简单的
希望现在晴朗
您需要将 inner_hits 添加到所有嵌套查询
您可以解析整个结果以获得匹配的工作时间(来自内部匹配)o 可以使用 response filtering 删除额外数据
映射
PUT index123
{
"mappings": {
"properties": {
"company": {
"type": "nested",
"properties": {
"ward": {
"type": "nested",
"properties": {
"employee": {
"type": "nested",
"properties": {
"workingHours": {
"type": "nested",
"properties": {
"date": {
"type": "date"
}
}
}
}
}
}
}
}
}
}
}
}
数据
"_index" : "index123",
"_type" : "_doc",
"_id" : "9gGYI3oBt-MOenya6BcN",
"_score" : 1.0,
"_source" : {
"company" : [
{
"companyId" : 112,
"ward" : [
{
"wardId" : 223,
"employee" : {
"employeeId" : 334,
"workingHours" : [
{
"date" : "2021-01-01",
"numOfHours" : 4
},
{
"date" : "2021-01-02",
"numOfHours" : 7
}
]
}
}
]
}
]
}
}
查询
GET index123/_search?filter_path=hits.hits.inner_hits.ward.hits.hits.inner_hits.employee.hits.hits.inner_hits.workingHours.hits.hits._source
{
"query": {
"nested": {
"inner_hits": {
"name":"ward"
},
"path": "company.ward",
"query": {
"bool": {
"must": [
{
"term": {
"company.ward.wardId": {
"value": 223
}
}
},
{
"nested": {
"inner_hits": {
"name":"employee"
},
"path": "company.ward.employee",
"query": {
"bool": {
"must": [
{
"term": {
"company.ward.employee.employeeId": {
"value":334
}
}
},
{
"nested": {
"inner_hits": {
"name":"workingHours"
},
"path": "company.ward.employee.workingHours",
"query": {
"range": {
"company.ward.employee.workingHours.date": {
"gte": "2021-01-01",
"lte": "2021-01-01"
}
}
}
}
}
]
}
}
}
}
]
}
}
}
}
}
结果
{
"hits" : {
"hits" : [
{
"inner_hits" : {
"ward" : {
"hits" : {
"hits" : [
{
"inner_hits" : {
"employee" : {
"hits" : {
"hits" : [
{
"inner_hits" : {
"workingHours" : {
"hits" : {
"hits" : [
{
"_source" : {
"date" : "2021-01-01",
"numOfHours" : 4
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
更新:
使用公司 ID 查询
GET index123/_search?filter_path=hits.hits.inner_hits.company.hits.hits.inner_hits.ward.hits.hits.inner_hits.employee.hits.hits.inner_hits.workingHours.hits.hits._source
{
"query": {
"nested": {
"path": "company",
"inner_hits": {
"name": "company"
},
"query": {
"bool": {
"must": [
{
"term": {
"company.companyId": {
"value": 112
}
}
},
{
"nested": {
"inner_hits": {
"name": "ward"
},
"path": "company.ward",
"query": {
"bool": {
"must": [
{
"term": {
"company.ward.wardId": {
"value": 223
}
}
},
{
"nested": {
"inner_hits": {
"name": "employee"
},
"path": "company.ward.employee",
"query": {
"bool": {
"must": [
{
"term": {
"company.ward.employee.employeeId": {
"value": 334
}
}
},
{
"nested": {
"inner_hits": {
"name": "workingHours"
},
"path": "company.ward.employee.workingHours",
"query": {
"range": {
"company.ward.employee.workingHours.date": {
"gte": "2021-01-01",
"lte": "2021-01-01"
}
}
}
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
}
}
}
我有一个巨大的嵌套对象,它有很多层次 我想创建一个查询,它将 return 只有叶子/中间的一些对象, 并且查询应该查询树中的多个级别。
例如: 我的数据库正在保存整个公司结构。 公司 -> 病房 -> 员工 -> 工作时间
我想查询 return 只有本月下午 3 点以后开始的病房 2 员工的工作时间
我尝试使用 inner_hits - 但没有用。
根据要求,示例文档和预期结果:
company:[{
properties:{companyId: 112}
ward:[{
properties: {wardId: 223}
employee:{
properties: {employeeId: 334},
workingHours: [
{ date: "1.1.2021", numOfHours: 4},
{ date: "1.2.2021", numOfHours: 7}
]
}]
}]
}]
查询: 我需要 return 日期“1.2.21”,员工 334,病房 223 的工作时间。而且只有工作时间,而不是整个树。
预期结果: 4 或 { date: "1.1.2021", numOfHours: 4} ,更简单的
希望现在晴朗
您需要将 inner_hits 添加到所有嵌套查询
您可以解析整个结果以获得匹配的工作时间(来自内部匹配)o 可以使用 response filtering 删除额外数据
映射
PUT index123
{
"mappings": {
"properties": {
"company": {
"type": "nested",
"properties": {
"ward": {
"type": "nested",
"properties": {
"employee": {
"type": "nested",
"properties": {
"workingHours": {
"type": "nested",
"properties": {
"date": {
"type": "date"
}
}
}
}
}
}
}
}
}
}
}
}
数据
"_index" : "index123",
"_type" : "_doc",
"_id" : "9gGYI3oBt-MOenya6BcN",
"_score" : 1.0,
"_source" : {
"company" : [
{
"companyId" : 112,
"ward" : [
{
"wardId" : 223,
"employee" : {
"employeeId" : 334,
"workingHours" : [
{
"date" : "2021-01-01",
"numOfHours" : 4
},
{
"date" : "2021-01-02",
"numOfHours" : 7
}
]
}
}
]
}
]
}
}
查询
GET index123/_search?filter_path=hits.hits.inner_hits.ward.hits.hits.inner_hits.employee.hits.hits.inner_hits.workingHours.hits.hits._source
{
"query": {
"nested": {
"inner_hits": {
"name":"ward"
},
"path": "company.ward",
"query": {
"bool": {
"must": [
{
"term": {
"company.ward.wardId": {
"value": 223
}
}
},
{
"nested": {
"inner_hits": {
"name":"employee"
},
"path": "company.ward.employee",
"query": {
"bool": {
"must": [
{
"term": {
"company.ward.employee.employeeId": {
"value":334
}
}
},
{
"nested": {
"inner_hits": {
"name":"workingHours"
},
"path": "company.ward.employee.workingHours",
"query": {
"range": {
"company.ward.employee.workingHours.date": {
"gte": "2021-01-01",
"lte": "2021-01-01"
}
}
}
}
}
]
}
}
}
}
]
}
}
}
}
}
结果
{
"hits" : {
"hits" : [
{
"inner_hits" : {
"ward" : {
"hits" : {
"hits" : [
{
"inner_hits" : {
"employee" : {
"hits" : {
"hits" : [
{
"inner_hits" : {
"workingHours" : {
"hits" : {
"hits" : [
{
"_source" : {
"date" : "2021-01-01",
"numOfHours" : 4
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
更新:
使用公司 ID 查询
GET index123/_search?filter_path=hits.hits.inner_hits.company.hits.hits.inner_hits.ward.hits.hits.inner_hits.employee.hits.hits.inner_hits.workingHours.hits.hits._source
{
"query": {
"nested": {
"path": "company",
"inner_hits": {
"name": "company"
},
"query": {
"bool": {
"must": [
{
"term": {
"company.companyId": {
"value": 112
}
}
},
{
"nested": {
"inner_hits": {
"name": "ward"
},
"path": "company.ward",
"query": {
"bool": {
"must": [
{
"term": {
"company.ward.wardId": {
"value": 223
}
}
},
{
"nested": {
"inner_hits": {
"name": "employee"
},
"path": "company.ward.employee",
"query": {
"bool": {
"must": [
{
"term": {
"company.ward.employee.employeeId": {
"value": 334
}
}
},
{
"nested": {
"inner_hits": {
"name": "workingHours"
},
"path": "company.ward.employee.workingHours",
"query": {
"range": {
"company.ward.employee.workingHours.date": {
"gte": "2021-01-01",
"lte": "2021-01-01"
}
}
}
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
}
}
}