DSL query to find the elements from array of dictionaries - elasticsearch

Question

I have a index in elastic search called professor
If for cross field i need "AND" condition
for same field array i need to OR condition
I need to search BusinessArea which is Research or Accounting this is array of fields(OR) statement
AND
I need to search Role is Developer or Tester condition this is array of fields(OR) statement
AND
I need to search Location is NY(&) condition
test = [{ 'id': '1', 'name': 'Group1', 'BusinessArea': [ { 'id': '14', 'name': 'Accounting' }, { 'id': '3', 'name': 'Accounting' } ],'Designation': [ { 'id': '16', 'name': 'L1' }, { 'id': '20', 'name': 'L2' }, { 'id': '25', 'name': 'L2' }, ] }, { 'id': '2', 'name': 'Group1', 'BusinessArea': [ { 'id': '14', 'name': 'Research' }, { 'id': '3', 'name': 'Accounting' } ], 'Role': [ { 'id': '5032', 'name': 'Tester' }, { 'id': '5033', 'name': 'Developer' } ], 'Designation': [ { 'id': '16', 'name': 'L1' }, { 'id': '20', 'name': 'L2' }, { 'id': '25', 'name': 'L2' }, ] }, { 'id': '1', 'name': 'Group1', 'BusinessArea': [ { 'id': '14', 'name': 'Research' }, { 'id': '3', 'name': 'Engineering' } ], 'Role': [ { 'id': '5032', 'name': 'Developer' }, { 'id': '5033', 'name': 'Developer' } ], 'Designation': [ { 'id': '16', 'name': 'L1' }, { 'id': '20', 'name': 'L2' }, { 'id': '25', 'name': 'L2' }] }]
Query is below,3rd one got it, How to add 1 and 2
content_search = es.search(index="professor", body={
"query": {
"bool": {
"must": {
"match_all": {}
},
"filter": [
{
"term": {
"Location.keyword": "NY"
}
}
]
}
}
})
content_search ['hits']['hits']

Answer 1

I need to search Location is NY(&) condition
I have not added this condition, since there is no field named Location in your sample data
Try out this below query:
Search Query:
{
"query": {
"bool": {
"must": [
{
"terms": {
"BusinessArea.name.keyword": [
"Research",
"Accounting"
]
}
},
{
"terms": {
"Role.name.keyword": [
"Developer",
"Tester"
]
}
}
]
}
}
}
Search Result:
"hits": [
{
"_index": "stof_64386038",
"_type": "_doc",
"_id": "2",
"_score": 2.0,
"_source": {
"id": "2",
"name": "Group1",
"BusinessArea": [
{
"id": "14",
"name": "Research"
},
{
"id": "3",
"name": "Accounting"
}
],
"Role": [
{
"id": "5032",
"name": "Tester"
},
{
"id": "5033",
"name": "Developer"
}
],
"Designation": [
{
"id": "16",
"name": "L1"
},
{
"id": "20",
"name": "L2"
},
{
"id": "25",
"name": "L2"
}
]
}
},
{
"_index": "stof_64386038",
"_type": "_doc",
"_id": "3",
"_score": 2.0,
"_source": {
"id": "1",
"name": "Group1",
"BusinessArea": [
{
"id": "14",
"name": "Research"
},
{
"id": "3",
"name": "Engineering"
}
],
"Role": [
{
"id": "5032",
"name": "Developer"
},
{
"id": "5033",
"name": "Developer"
}
],
"Designation": [
{
"id": "16",
"name": "L1"
},
{
"id": "20",
"name": "L2"
},
{
"id": "25",
"name": "L2"
}
]
}
}
]

Answer 2

You can use bool query like this:
content_search = es.search(index="professor", body={
"query": {
"bool": {
"must": [
{
"terms":
{
"BusinessArea.name.keyword": ["Research","Accounting"]
}
},
{
"terms":
{
"Role.name.keyword": ["Developer","Tested"]
}
}
]
},
"filter": [
{
"term": {
"Location.keyword": "NY"
}
}
]
}
})