ElasticSearch mapping doesn't work

Question

I'm trying to set up an ElasticSearch index with different analyzers for the individual fields. However, I can't seem to find a way to set field-specific analyzers; here's how I create my (test) index:

curl -XPOST localhost:9200/twitter
curl -XPUT 'http://localhost:9200/twitter/tweet/_mapping' -d '
{
    "tweet" : {
        "properties" : {
            "message" : {
                "type" : "string",
                "search_analyzer" : "snowball", 
                "index_analyzer" : "snowball"
            }
        }
    }
}'

If I read the documentation correctly, then this should create the index 'twitter' with the type 'tweet', and content for the 'message' field should be analyzed through the snowball stemming analyzer. To test for this, I tried the following queries:

curl -XPUT 'http://localhost:9200/twitter/tweet/1' -d '{
    "message" : "Look, a fighting War-Unicorn!"
}'
curl -XGET localhost:9200/twitter/_search?q=fight

If I'm not mistaken, then this should return a hit, as fight is the stem for fighting; the problem is, it doesn't, I'm getting zero hits. It appears as if ElasticSearch ignores the mapping entirely (even though ElasticSearch accepts all of these queries, as I get 'ok' back for each of them.)

I've already tried replacing the default analyzer with a snowball analyzer, and then it works; thing is, I totally need to have field-specific analyzers, so this isn't going to help me. I also tried different analyzers and things like setting "index" to "no", but to no avail.

What am I doing wrong?

Answer 1

To use a field-specific analyzer you need to specify this field in the query. Otherwise, default analyzer is used. Try

curl -XGET 'localhost:9200/twitter/_search?q=message:fight'

or

curl -XGET 'localhost:9200/twitter/_search?df=message&q=looking'