elastic - query multiple levels on nested object in inner_hits - elasticsearch

Question

i have a huge nested object which has lots of levels
i want to create a query which will return only the leaf / some object in the middle,
and the query is supposed to query multiple levels in the tree.
for example:
my DB is saving the whole company structure.
company -> wards -> employees -> working hours
i want to make a query that will return only the working hours of the employees in ward 2 which started later than 3pm this month
i tried to use inner_hits - but to no use.
as requested, sample document and expected result:
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}
]
}]
}]
}]
the query:
I need to return the working hours of date "1.2.21" , of employee 334, of ward 223. and only the working hours, not the whole tree.
expected result:
4 or { date: "1.1.2021", numOfHours: 4} , whatever is simpler
hope its clear now

Answer 1

You need to add inner_hits to all nested queries
You can either parse entire result to get matched working hours(from inner hits) o can use response filtering to remove additional data
Mapping
PUT index123
{
"mappings": {
"properties": {
"company": {
"type": "nested",
"properties": {
"ward": {
"type": "nested",
"properties": {
"employee": {
"type": "nested",
"properties": {
"workingHours": {
"type": "nested",
"properties": {
"date": {
"type": "date"
}
}
}
}
}
}
}
}
}
}
}
}
Data
"_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
}
]
}
}
]
}
]
}
}
Query
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"
}
}
}
}
}
]
}
}
}
}
]
}
}
}
}
}
Result
{
"hits" : {
"hits" : [
{
"inner_hits" : {
"ward" : {
"hits" : {
"hits" : [
{
"inner_hits" : {
"employee" : {
"hits" : {
"hits" : [
{
"inner_hits" : {
"workingHours" : {
"hits" : {
"hits" : [
{
"_source" : {
"date" : "2021-01-01",
"numOfHours" : 4
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
Update:
Query with company ID
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"
}
}
}
}
}
]
}
}
}
}
]
}
}
}
}
]
}
}
}
}
}