Beginning Elasticsearch - mappings and analyzers

ElasticSearch_mappings_and_analyzers.json

# Record insertion:
PUT /examples/movies/1
{
  "title": "Saving Private Ryan",
  "description": "A war movie set during the invasion of Normandy"
}


# see current mappings:
GET /examples/_mapping


# See how text is analyzed by default:
GET /_analyze?/analyzer=standard
{ "Saving private Ryan" }

# See how text is analyzed in the context of the field "title":
GET /examples/_analyze?field=title
{ "Saving private Ryan"}

# See how text is analyzed with the english analyzer:
GET /_analyze?analyzer=english
{ "Saving private Ryan" }


# Simple match query, successful:
GET /examples/movies/_search 
{
  "query": {
    "match": { "title": "saving" }
  }
}

# Simple match query, unsuccessful:
GET /examples/movies/_search 
{
  "query": {
    "match": { "title": "save" }
  }
}


# Update "movies" mapping:
PUT /examples/movies/_mapping
{
  "properties": {
    "title": {
      "type": "string",
      "fields": {
        "en": {
          "type": "string",
          "analyzer": "english"
        }
      }
    }
  }
}


# Update record, adding "title.en" field:
POST /examples/movies/1/_update
{
  "doc": {
    "title.en": "Saving private Ryan"
  }
}


# Query on "title.en", a field that uses the english analyzer:
GET /examples/movies/_search
{
  "query": {
    "match": {
      "title.en": "save"
    }
  }
}

# multi_match query, allows multiple fields search:
GET /examples/movies/_search
{
 "query": {
    multi_"match": {
      "fields": "title*",
      "query": "save"
    }
  }  
}