Has parent query
editHas parent query
editReturns child documents whose joined parent document matches a provided query. You can create parent-child relationships between documents in the same index using a join field mapping.
Because it performs a join, the has_parent query is slow compared to other queries.
Its performance degrades as the number of matching parent documents increases.
Each has_parent query in a search can increase query time significantly.
Example request
editIndex setup
editTo use the has_parent query, your index must include a join
field mapping. For example:
resp = client.indices.create(
index="my-index-000001",
mappings={
"properties": {
"my-join-field": {
"type": "join",
"relations": {
"parent": "child"
}
},
"tag": {
"type": "keyword"
}
}
},
)
print(resp)
response = client.indices.create(
index: 'my-index-000001',
body: {
mappings: {
properties: {
"my-join-field": {
type: 'join',
relations: {
parent: 'child'
}
},
tag: {
type: 'keyword'
}
}
}
}
)
puts response
const response = await client.indices.create({
index: "my-index-000001",
mappings: {
properties: {
"my-join-field": {
type: "join",
relations: {
parent: "child",
},
},
tag: {
type: "keyword",
},
},
},
});
console.log(response);
PUT /my-index-000001
{
"mappings": {
"properties": {
"my-join-field": {
"type": "join",
"relations": {
"parent": "child"
}
},
"tag": {
"type": "keyword"
}
}
}
}
Example query
editresp = client.search(
index="my-index-000001",
query={
"has_parent": {
"parent_type": "parent",
"query": {
"term": {
"tag": {
"value": "Elasticsearch"
}
}
}
}
},
)
print(resp)
const response = await client.search({
index: "my-index-000001",
query: {
has_parent: {
parent_type: "parent",
query: {
term: {
tag: {
value: "Elasticsearch",
},
},
},
},
},
});
console.log(response);
GET /my-index-000001/_search
{
"query": {
"has_parent": {
"parent_type": "parent",
"query": {
"term": {
"tag": {
"value": "Elasticsearch"
}
}
}
}
}
}
Top-level parameters for has_parent
edit-
parent_type - (Required, string) Name of the parent relationship mapped for the join field.
-
query -
(Required, query object) Query you wish to run on parent documents of the
parent_typefield. If a parent document matches the search, the query returns its child documents. -
score -
(Optional, Boolean) Indicates whether the relevance score of a matching parent document is aggregated into its child documents. Defaults to
false.If
false, Elasticsearch ignores the relevance score of the parent document. Elasticsearch also assigns each child document a relevance score equal to thequery'sboost, which defaults to1.If
true, the relevance score of the matching parent document is aggregated into its child documents' relevance scores. -
ignore_unmapped -
(Optional, Boolean) Indicates whether to ignore an unmapped
parent_typeand not return any documents instead of an error. Defaults tofalse.If
false, Elasticsearch returns an error if theparent_typeis unmapped.You can use this parameter to query multiple indices that may not contain the
parent_type.
Notes
editSorting
editYou cannot sort the results of a has_parent query using standard
sort options.
If you need to sort returned documents by a field in their parent documents, use
a function_score query and sort by _score. For example, the following query
sorts returned documents by the view_count field of their parent documents.
resp = client.search(
query={
"has_parent": {
"parent_type": "parent",
"score": True,
"query": {
"function_score": {
"script_score": {
"script": "_score * doc['view_count'].value"
}
}
}
}
},
)
print(resp)
const response = await client.search({
query: {
has_parent: {
parent_type: "parent",
score: true,
query: {
function_score: {
script_score: {
script: "_score * doc['view_count'].value",
},
},
},
},
},
});
console.log(response);
GET /_search
{
"query": {
"has_parent": {
"parent_type": "parent",
"score": true,
"query": {
"function_score": {
"script_score": {
"script": "_score * doc['view_count'].value"
}
}
}
}
}
}