如果我们已经把 测试数据 导入了elasticsearch，并安装好了插件head，那么就会看到Elasticsearch中已经有很多数据了。
如上，collections有86772条记录，products有538790条记录，users有970446条记录。
有了数据，我们该如何去套个查询的api呢？
首先我们拿products的随便一条记录来看看：
{
"_index": "products",
"_type": "product",
"_id": "5246bc3dee910bfe70000063",
"_version": 1,
"_score": 1,
"_source": {
"category": "womens_fashion",
"image_url": "https://s3.amazonaws.com/savvy_products/5246bc3dee910bfe70000063_1380367421",
"original": 1,
"description": "Soie Women's Bra",
"likers": [],
"country": "in",
"price": "Rs. 440",
"hashtags": [],
"image_attrs": {
"width": 0,
"height": 0
},
"updated_at": "2013-10-24T07:11:25.143Z",
"source": "http://www.flipkart.com/soie-women-s-bra/p/itmdhgfzu2uctvug?pid=BRADHGFZVGUEYGGF&ref=3496d1d6-47e9-4b44-a586-f66bc2243fd3",
"featured": 1,
"liker_ids": [],
"comments_count": 0,
"likes": 0,
"urls": [],
"image_s3_id": "5246bc3dee910bfe70000063_1380367421",
"collection_id": "5246bc3dee910bfe70000062",
"mentions": [],
"created_at": "2013-09-28T11:23:41.944Z",
"user": {
"fb_id": "",
"name": "Anonymous Aficionado",
"id": "52432fca1fb2e64813000553"
}
}
}
里面字段可真不少，先拿个简单的，products里有个字段叫做description：
"description": "Soie Women's Bra",
我们就拿这个造个api，对description进行模糊查询。
那么首先就要改造products这个索引的配置，给它配上分词：
但是第一步提交数据的时候其实已经默认建立了配置，需要对它修改一下：
先停掉products的索引：
curl -XPOST http://localhost:9200/products/_close
然后先给products加上分词：
curl -XPUT http://localhost:9200/products/_settings -d '
{
"settings": {
"analysis": {
"filter": {
"autocomplete_filter": {
"type": "edge_ngram",
"min_gram": 1,
"max_gram": 20
}
},
"analyzer": {
"autocomplete": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"autocomplete_filter"
]
}
}
}
}
}'
如上我们给products加了一个分词.
然后我们需要修改description的映射关系，把索引和搜索时用的filter配好。
curl -XPUT http://localhost:9200/products/_settings -d '
{
"mappings": {
"product": {
"description": {
"category": {
"type": "string",
"analyzer": "autocomplete",
"search_analyzer": "standard"
}
}
}
}
}'
如上，我们给description字段索引时增加了autocomplete的filter，搜索时用标准filter。
ok，经过上面的配置，description就会索引时自动分词。
然后我们再装个flask
easy_install flask
easy_install flask_restful
easy_install flask_cors
写个简单的flask程序run.py：
from flask import Flask
from flask_restful import reqparse, Resource, Api
from flask_cors import CORS
import requests
import json
app = Flask(__name__)
CORS(app)
api = Api(app)
api_base_url = '/api/v1'
es_base_url = {
'products': 'http://172.16.11.2:9200/products/product',
}
parser = reqparse.RequestParser()
class Search(Resource):
def get(self):
print("Call for GET /products/product/_search")
parser.add_argument('q')
query_string = parser.parse_args()
url = es_base_url['products']+'/_search'
query = {
"query": {
"multi_match": {
"fields": ["description"],
"query": query_string['q'],
"type": "cross_fields",
"use_dis_max": False
}
},
"size": 10000
}
resp = requests.post(url, data=json.dumps(query))
data = resp.json()
products = []
for hit in data['hits']['hits']:
product = hit['_source']
product['id'] = hit['_id']
products.append(product)
return products
api.add_resource(Search, api_base_url+'/search')
app.run(host='0.0.0.0',debug=True)
运行这个flask程序：
python run.py
然后打开url (http://xxx.xxx.xxx.xxx:5000/api/v1/search?q=Whi)
试一下结果：
ok，这样就ok了。