Because nested objects are indexed as separate hidden documents, we can’t
query them directly. Instead, we have to use the
{ref}/query-dsl-nested-query.html[nested
query] to access them:
GET /my_index/blogpost/_search
{
"query": {
"bool": {
"must": [
{ "match": { "title": "eggs" }}, (1)
{
"nested": {
"path": "comments", (2)
"query": {
"bool": {
"must": [ (3)
{ "match": { "comments.name": "john" }},
{ "match": { "comments.age": 28 }}
]
}}}}
]
}}}
-
The
title
clause operates on the root document. -
The
nested
clause`steps down'' into the nested `comments
field. It no longer has access to fields in the root document, nor fields in any other nested document. -
The
comments.name
andcomments.age
clauses operate on the same nested document.
Tip
|
A |
Of course, a nested
query could match several nested documents.
Each matching nested document would have its own relevance score, but these
multiple scores need to be reduced to a single score that can be applied to
the root document.
By default, it averages the scores of the matching nested documents. This can
be controlled by setting the score_mode
parameter to avg
, max
, sum
, or
even none
(in which case the root document gets a constant score of 1.0
).
GET /my_index/blogpost/_search
{
"query": {
"bool": {
"must": [
{ "match": { "title": "eggs" }},
{
"nested": {
"path": "comments",
"score_mode": "max", (1)
"query": {
"bool": {
"must": [
{ "match": { "comments.name": "john" }},
{ "match": { "comments.age": 28 }}
]
}}}}
]
}}}
-
Give the root document the
_score
from the best-matching nested document.
Note
|
A While the results of the |