Reputation: 145
So I have an search query in Elasticsearch which queries a field called myList. Inside that list are elements. elm1, elm2, and elm3. I want to be able to query that list such that all the elements must match. For example:
myList: [{
elm1: "value1",
elm2: "value2",
elm3: "value4"
},
{
elm1: "value2"
elm2: "value3"
elm3: "value3"
},
{
elm1: "value3",
elm2: "value4",
elm3: "value5"
}]
If I construct a query such that it searches for the field: elm1 = value1 and elm2 = value2 and elm3=value3,
"query": {
"bool": {
"must": [],
"filter": [
{
"bool": {
"filter": [
{
"bool": {
"should": [
{
"query_string": {
"fields": [
"myList.elm1.keyword"
],
"query": "value1"
}
}
],
"minimum_should_match": 1
}
},"bool": {
"filter": [
{
"bool": {
"should": [
{
"query_string": {
"fields": [
"myList.elm2.keyword"
],
"query": "value2"
}
}
],
"minimum_should_match": 1
}
},"bool": {
"filter": [
{
"bool": {
"should": [
{
"query_string": {
"fields": [
"myList.elm3.keyword"
],
"query": "value3"
}
}
],
"minimum_should_match": 1
}
}
}
]
}
}
It will return true because
myList[0]['elm1']=value1
myList[0]['elm2']=value2
myList[1]['elm3']=value3
This is not what I want.
How do I get it such that
myList[x]['elm1']=value1
myList[y]['elm2']=value2
myList[z]['elm3']=value3
Where x=y=z
Upvotes: 0
Views: 48
Reputation: 145
So Joe's answer is nearly there, he's right you need to use the nested field type. His answer gives the possibility of
myList[x]['elm1']=value1
myList[y]['elm2']=value2
myList[z]['elm3']=value3
Where x,y,z are independent elements.
If you want x=y=z:
{
"query": {
"nested": {
"path": "myList",
"query": {
"bool": {
"filter": [
{
"term": {
"myList.elm1.keyword": {
"value": "value1"
}
}
},
{
"term": {
"myList.elm1.keyword": {
"value": "value1"
}
}
},
{
"term": {
"myList.elm1.keyword": {
"value": "value1"
}
}
}
]
}
}
}
}
}
Upvotes: 0
Reputation: 16925
When you're deailing with arrays of objects, these objects get flattened and essentially lose the connections between each other.
You should use the nested
field type instead:
PUT elms_deep
{
"mappings": {
"properties": {
"myList": {
"type": "nested"
}
}
}
}
then re-add your documents:
POST elms_deep/_doc
{
"myList": [
{
"elm1": "value1",
"elm2": "value2",
"elm3": "value4"
},
{
"elm1": "value2",
"elm2": "value3",
"elm3": "value3"
},
{
"elm1": "value3",
"elm2": "value4",
"elm3": "value5"
}
]
}
and then proceed with the 3 nested
term
queries -- no need for your original query_string
queries when you're targeting .keyword
fields:
POST elms_deep/_search
{
"query": {
"bool": {
"filter": [
{
"nested": {
"path": "myList",
"query": {
"term": {
"myList.elm1.keyword": {
"value": "value1"
}
}
}
}
},
{
"nested": {
"path": "myList",
"query": {
"term": {
"myList.elm2.keyword": {
"value": "value2"
}
}
}
}
},
{
"nested": {
"path": "myList",
"query": {
"term": {
"myList.elm3.keyword": {
"value": "value3"
}
}
}
}
}
]
}
}
}
Upvotes: 1