ElasticSearch has_parent query - elasticsearch

Question

I am experimenting with Elasticsearch parent/child with some simple examples from fun-with-elasticsearch-s-children-and-nested-documents/. I am able to query child elements by running the query in the blog
curl -XPOST localhost:9200/authors/bare_author/_search -d '{
However, I could not tweak the example for has_parent query. Can someone please point what I am doing wrong, as I keep getting 0 results.
This is what I tried
#Returns 0 hits
curl -XPOST localhost:9200/authors/book/_search -d '{
"query": {
"has_parent": {
"type": "bare_author",
"query" : {
"filtered": {
"query": { "match_all": {}},
"filter" : {"term": { "name": "Alastair Reynolds"}}
}
}
}
}
}'
#did not work either
curl -XPOST localhost:9200/authors/book/_search -d '{
"query": {
"has_parent" : {
"type" : "bare_author",
"query" : {
"term" : {
"name" : "Alastair Reynolds"
}
}
}
}
}'
This works with match but its just matching the first name
#works but matches just first name
curl -XPOST localhost:9200/authors/book/_search -d '{
"query": {
"has_parent" : {
"type" : "bare_author",
"query" : {
"match" : {"name": "Alastair"}
}
}
}
}'

Answer 1

I suppose you are using the default mappings, thus analysing the name field using the standard analyzer. On the other hand, term query and term filter don't support text analysis thus you search for the token Alastair Reynolds while in the index you have alastair and reynolds as two different tokens and lowercased.
The match query returns result because it's analyzed, thus underneath lowercased and it finds matches. You can just change your term query and make it a match query, it will find matches even with multiple terms, because in that case it will be tokenized on whitespaces and will generate a boolean or dismax query out of the different terms provided.