ElasticSearch 是构建在Apache Lucene之上的的搜索引擎服务，开源（Apache2协议），分布式，RESTful。安装方便，使用简单。
官方站点：http://www.elasticsearch.com/
中文站点：http://es-cn.medcl.net/
安装 必须先安装Java环境，并设置 JAVA_HOME => C:\Program Files\Java\jdk1.6.0_18
elasticsearch-rtf 中文入门集成包 https://github.com/medcl/elasticsearch-rtf 使用git签出，下载到本地。windows下，执行bin下面的elasticsearch.bat。linux下，执行bin下面或者service下面elasticsearch。
Pyes https://github.com/aparo/pyes 更多客户端
Bottle http://bottlepy.org/docs/dev/
角色关系对照 elasticsearch 跟 MySQL 中定义资料格式的角色关系对照表如下
MySQL helasticsearch database index table type row document field field 索引映射 #创建索引 $ curl -XPUT http://localhost:9200/test-index #创建Mapping $ curl -XPUT http://localhost:9200/test-index/test-type/_mapping -d '{ "properties" : { "name" : { "type" : "string" } } }' @route('/indexsetting/') def indexmapping(): """索引映射""" conn = ES('127.0.0.1:9200') conn.debug_dump = True try: #删除索引 conn.delete_index("test-index") except: pass #创建索引 conn.create_index("test-index") mapping = { u'id': {'store': 'yes', 'type': u'integer'}, u'author': {'boost': 1.0, 'index': 'not_analyzed', 'store': 'yes', 'type': u'string'}, u'published': {'boost': 1.0, 'index': 'not_analyzed', 'store': 'yes', 'type': u'datetime'}, u'url': {'store': 'yes', 'type': u'string'}, u'title': {'boost': 1.0, 'index': 'analyzed', 'store': 'yes', 'type': u'string'}, u'content': {'boost': 1.0, 'index': 'analyzed', 'store': 'yes', 'type': u'string', "term_vector" : "with_positions_offsets"} } #索引映射 conn.put_mapping("test-type", {'properties':mapping}, ["test-index"]) return "索引映射" 索引 #索引 $ curl -XPUT http://localhost:9200/test-index/test-type/1 -d '{ "user": "kimchy", "post_date": "2009-11-15T13:12:00", "message": "Trying out elasticsearch, so far so good?" }' #获取 $ curl -XGET http://localhost:9200/test-index/test-type/1 #删除 $ curl -XDELETE 'http://localhost:9200/test-index/test-type/1' @route('/indextest/') def indexTest(): """索引测试""" conn = ES('127.0.0.1:9200') for item in Data().getData(): #添加索引 conn.index(item,"test-index", "test-type",item['id']) #索引优化 conn.optimize(["test-index"]) #删除索引内容 conn.delete("test-index", "test-type", 2668090) #更新索引内容 model = conn.get("test-index", "test-type", 2667371) model["title"]="标题修改测试" conn.update(model,"test-index", "test-type",2667371) #刷新索引 conn.refresh(["test-index"]) q = MatchAllQuery() results = conn.search(query = q,indices="test-index", doc_types="test-type") # for r in results: # print r return template('default.tpl', list=results,count=len(results)) 搜索 #lucene语法方式的查询 $ curl -XGET http://localhost:9200/test-index/test-type/_search?q=user:kimchy #query DSL方式查询 $ curl -XGET http://localhost:9200/test-index/test-type/_search -d '{ "query" : { "term" : { "user": "kimchy" } } }' #query DSL方式查询 $ curl -XGET http://localhost:9200/test-index/_search?pretty=true -d '{ "query" : { "range" : { "post_date" : { "from" : "2009-11-15T13:00:00", "to" : "2009-11-15T14:30:00" } } } }' #查找全部索引内容 $ curl -XGET http://localhost:9200/test-index/test-type/_search?pretty=true @route('/search/') @route('/search/<searchkey>') def search(searchkey=u"关键算法"): """索引搜索""" conn = ES('127.0.0.1:9200') #TextQuery会对searchkey进行分词 qtitle = TextQuery("title", searchkey) qcontent = TextQuery("content", searchkey) #发布时间大于"2012-9-2 22:00:00" qpublished=RangeQuery(ESRangeOp("published", "gt", datetime(2012, 9, 2, 22, 0, 0))) h = HighLighter(['<b>'], ['</b>'], fragment_size=500) #多字段搜索(must=>and,should=>or)，高亮，结果截取（分页），排序 q = Search(BoolQuery(must=[qpublished],should=[qtitle,qcontent]), highlight=h, start=0, size=3, sort={'id': {'order': 'asc'}}) q.add_highlight("title") q.add_highlight("content") results = conn.search(query = q,indices="test-index", doc_types="test-type") list=[] for r in results: if(r._meta.highlight.has_key("title")): r['title']=r._meta.highlight[u"title"][0] if(r._meta.highlight.has_key("content")): r['content']=r._meta.highlight[u"content"][0] list.append(r) return template('search.tpl', list=list,count=results.total) 设置 #创建索引，并设置分片和副本参数 $ curl -XPUT http://localhost:9200/elasticsearch/ -d '{ "settings" : { "number_of_shards" : 2, "number_of_replicas" : 3 } }' 其他 #分词 curl -XGET 'http://localhost:9200/test-index/_analyze?text=中华人民共和国' 例子程序下载
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