I have a User object with properties Name and Surname. I want to search these fields using one query, and I found multi_match
in the documentation, but I don't know how to properly use that with a wildcard. Is it possible?
I tried with a multi_match
query but it didn't work:
{
"query": {
"multi_match": {
"query": "*mar*",
"fields": [
"user.name",
"user.surname"
]
}
}
}
Alternatively you could use a query_string
query with wildcards.
"query": {
"query_string": {
"query": "*mar*",
"fields": ["user.name", "user.surname"]
}
}
This will be slower than using an nGram filter at index-time (see my other answer), but if you are looking for a quick and dirty solution...
Also I am not sure about your mapping, but if you are using user.name
instead of name
your mapping needs to look like this:
"your_type_name_here": {
"properties": {
"user": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"surname": {
"type": "string"
}
}
}
}
}
Such a query worked for me:
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"bool": {
"should": [
{"query": {"wildcard": {"user.name": {"value": "*mar*"}}}},
{"query": {"wildcard": {"user.surname": {"value": "*mar*"}}}}
]
}
}
}
}
}
Similar to what you are doing, except that in my case there could be different masks for different fields.
I just did this now:
GET _search {
"query": {
"bool": {
"must": [
{
"range": {
"theDate": {
"gte": "2014-01-01",
"lte": "2014-12-31"
}
}
},
{
"match" : {
"Country": "USA"
}
}
],
"should": [
{
"wildcard" : { "Id_A" : "0*" }
},
{
"wildcard" : { "Id_B" : "0*" }
}
],"minimum_number_should_match": 1
}
}
}
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