How to do it...

For mapping a percolator field, use the followings steps:

1. We want to create a Percolator that matches some text in a body field. We will define mapping in a similar way:

PUT test-percolator
{
  "mappings": {
    "properties": {
      "query": {
        "type": "percolator"
      },
      "body": {
        "type": "text"
      }
    }
  }
}

1. Now, we can store a document with a query percolator inside it, as follows:

PUT test-percolator/_doc/1?refresh
{
  "query": {
    "match": {
      "body": "quick brown fox"
    }
  }
}

1. We can now execute a search on it, as shown in the following code:

GET test-percolator/_search
{
  "query": {
    "percolate": {
      "field": "query",
      "document": {
        "body": "fox jumps over the lazy dog"
      }
    }
  }
}

1. The result will return in the hits of the stored document, as follows:

{
   ... truncated...
   "hits" : [
     {
     "_index" : "test-percolator",
     "_type" : "_doc",
     "_id" : "1",
     "_score" : 0.2876821,
     "_source" : {
         "query" : {
             "match" : {
             "body" : "quick brown fox"
             }
         }
     },
     "fields" : {
         "_percolator_document_slot" : [0]
         }
     }
     ]
     }
 }