Product listing using elastic search with python's pyes

product.py

    fields = [
        "_id", "key", "content.name", "content.brand", "content.season",
        "content.description", "content.status", "content.category"
    ]    
    typeFilter = TermFilter("type", "product")
    deleteFilter = TermFilter("deleted", False)
    f = ANDFilter([typeFilter, deleteFilter])
    query = FilteredQuery(MatchAllQuery(), f)
    search = Search(query, start=paging['skip'], size=paging['take'],
            fields=fields)
    results = request.es.conn.search(search)

product_mapper.json

{
	"product": {
		"_type": {"store": "yes"},
		"_source": {"compress": true},
		"index_analyzer": "standard",
		"search_analyzer": "standard",
		"dynamic_date_formats": ["date_time_no_millis", "date_optional_time"],
		"properties": {
		      "_id": {"type": "string", "store": "yes", "index": "not_analyzed"},
			"key": {"type": "string", "store": "yes"},
			"content": {
				"type": "object",
				"path": "just_name",
				"properties": {
					"key": {"type": "string", "store": "yes"},
					"name": {"type": "string", "store": "yes", "index_name": "name"},
					"description": {"type": "string", "store": "yes", "index_name": "description"},
					"brand": {
						"type": "object",
						"index_name": "brand",
						"properties": {
							"abbreviation": {"type": "string", "store": "yes", "index_name": "brand_abbreviation"},
							"name": {"type": "string", "store": "yes", "index_name": "brand_name"}
						}
					}
                                }
                        }
                 }
          }
}