I have a very simple mapping which looks like this (I streamlined the example a bit):
{
"location" : {
"properties": {
"name": { "type": "string", "boost": 2.0, "analyzer": "snowball" },
"description": { "type": "string", "analyzer": "snowball" }
}
}
}
Now I index a lot of locations using some random values which are based on real English words.
I'd like to be able to search for locations that match any of the given keywords in either the name or the description field (name is more important, hence the boost I gave it). I tried a few different queries and they don't return any results.
{
"fields" : ["name", "description"],
"query" : {
"terms" : {
"name" : ["savage"],
"description" : ["savage"]
},
"from" : 0,
"size" : 500
}
}
Considering there are locations which have the word savaged in the description it should get me some results (savage is the stem of savaged). It yields 0 results using the above query. I've been using curl to query ES:
curl -XGET -d @query.json http://localhost:9200/myindex/locations/_search
If I use query string instead:
curl -XGET http://localhost:9200/fieldtripfinder/locations/_search?q=description:savage
I actually get one result (of course now it would be searching the description field only).
Basically I am looking for a query that will do a OR kind of search using multiple keywords and compare them to the values in both the name and the description field.
Querying Elasticsearch works by matching the queried terms with the terms in the Inverted Index, the terms queried and the one in the Inverted Index must be exactly the same, else it won't get matched.
These can be accessed from your dashboard by choosing Stack Settings > Elasticsearch . The next step is to write a a curl -x get command to retrieve the mappings from Elasticsearch. You will be returned with a json output similar to the below screenshot.
Snowball stems "savage" into "savag" that’s why term "savage" didn't return any results. However, when you specify "savage" on URL, it’s getting analyzed and you get results. Depending on what your intention is, you can either use correct stem ("savag") or analyze your terms by using "match" query instead of "terms":
{
"fields" : ["name", "description"],
"query" : {
"bool" : {
"should" : [
{"match" : {"name" : "savage"}},
{"match" : {"description" : "savage"}}
]
},
"from" : 0,
"size" : 500
}
}
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