I am learning Elasticsearch so I am not sure if this query is correct. I have checked that the data is indexed, but I don't get any hits. What am I doing wrong? Shouldn't this get a hit on a car where the creator's name is steve?
builder
.startObject()
.startObject("car")
.field("type", "nested")
.startObject("properties")
.startObject("creators")
.field("type", "nested")
.endObject()
.endObject()
.endObject()
.endObject();
{
"query": {
"bool": {
"must": [
{
"term": {
"car.creators.name": "Steve"
}
}
],
"must_not": [],
"should": []
}
},
"from": 0,
"size": 50,
"sort": [],
"facets": {}
}
First of all, in order to search nested fields you need to use nested query :
curl -XDELETE localhost:9200/test
curl -XPUT localhost:9200/test -d '{
"settings": {
"index.number_of_shards": 1,
"index.number_of_replicas": 0
},
"mappings": {
"car": {
"properties": {
"creators" : {
"type": "nested",
"properties": {
"name": {"type":"string"}
}
}
}
}
}
}
}
'
curl -XPOST localhost:9200/test/car/1 -d '{
"creators": {
"name": "Steve"
}
}
'
curl -X POST 'http://localhost:9200/test/_refresh'
echo
curl -X GET 'http://localhost:9200/test/car/_search?pretty' -d ' {
"query": {
"nested": {
"path": "creators",
"query": {
"bool": {
"must": [{
"match": {
"creators.name": "Steve"
}
}],
"must_not": [],
"should": []
}
}
}
},
"from": 0,
"size": 50,
"sort": [],
"facets": {}
}
'
If car.creators.name
was indexed using standard analyzer then {"term": {"creators.name": "Steve"}}
will not find anything because word Steve
was indexed as steve
and the term query doesn't performs analysis. So, it might be better to replace it with the match query {"match": {"creators.name": "Steve"}}
.
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