当进行全文搜索时,使用mongodb效率很低,且比较耗内存;解决办法是使用elasticsearch引擎,通过mongo-connector将数据同步到elasticsearch后进行快速搜索。
1、安装JDK(或者JRE)
sudo apt-get install openjdk-7-jdk
注:5.x 版本需安装openjdk-8-jdk
。
2、下载elasticseach
wget https://download.elastic.co/elasticsearch/release/org/elasticsearch/distribution/tar/elasticsearch/2.3.4/elasticsearch-2.3.4.tar.gz
tar xvf elasticsearch-2.3.4.tar.gz
亦可通过apt或者yum安装,参见
deb https://www.elastic.co/guide/en/elasticsearch/reference/5.0/deb.html
rpm https://www.elastic.co/guide/en/elasticsearch/reference/5.0/rpm.html
注:国内可使用tsinghua(清华)镜像源https://mirrors.tuna.tsinghua.edu.cn/elasticstack/5.x/
3、运行elasticsearch
cd elasticsearch-2.3.4/bin
./elasticsearch
亦可通过systemd启动
systemctl enable elasticsearch
systemctl start elasticsearch
4、测试一下,安装完成运行后elasticsearch会在9200端口上进行监听
curl -X GET http://localhost:9200
{
"name" : "Sebastian Shaw",
"cluster_name" : "elasticsearch",
"version" : {
"number" : "2.3.4",
"build_hash" : "e455fd0c13dceca8dbbdbb1665d068ae55dabe3f",
"build_timestamp" : "2016-06-30T11:24:31Z",
"build_snapshot" : false,
"lucene_version" : "5.5.0"
},
"tagline" : "You Know, for Search"
}
1、编辑/etc/mongodb.conf,增加:
replSet=rs0 #这里是指定replSet的名字
oplogSize=100 #这里是指定oplog表数据大小(太大了不支持)
重启动mongodb
sudo service mongodb restart
2,进入mongodb shell,初始化replicSet
mongo
rs.initiate( {"_id" : "rs0", "version" : 1, "members" : [ { "_id" : 0, "host" : "127.0.0.1:27017" } ]})
3,搭建好replicSet之后,退出mongo shell重新登录,提示符会变成:rs0:PRIMARY>,就可以退出Mongodb
1、从github下载编译好好的插件
cd ~
sudo apt-get install unzip
wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v1.9.4/elasticsearch-analysis-ik-1.9.4.zip
unzip elasticsearch-analysis-ik-1.9.4.zip -d elasticsearch-analysis-ik
2、将插件复制到elasticsearch的plugins目录
cp -r elasticsearch-analysis-ik elasticsearch-2.3.4/plugins
3、修改elasticsearch.yml配置,定义插件配置
vi elasticsearch-2.3.4/config/elasticsearch.yml
在最后增加:
index.analysis.analyzer.ik.type : 'ik'
index.analysis.analyzer.default.type : 'ik'
注:此部操作在5.x版本中已废弃,参见https://github.com/medcl/elasticsearch-analysis-ik
4、退出并重启elasticsearch
elasticsearch-2.3.4/bin/elasticsearch -d
(-d表示以后台方式运行)
sudo pip install mongo-connector elastic2_doc_manager
sudo mongo-connector -m localhost:27017 -t localhost:9200 -d elastic2_doc_manager
显示Logging to mongo-connector.log.后将会把mongodb数据库的信息同步到elasticsearch中,完全同步完成估计需要30分钟左右,同步期间不能中断,否则可能导致elasticsearch与mongodb数据不一致。
在同步过程中,可能会报错:
OperationFailed: ConnectionTimeout caused by - ReadTimeoutError(HTTPConnectionPool(host=u'localhost', port=9200): Read timed out. (read timeout=10))
2016-08-04 17:24:53,372 [ERROR] mongo_connector.oplog_manager:633 - OplogThread: Failed during dump collection cannot recover! Collection(Database(MongoClient(u'127.0.0.1', 27017), u'local'), u'oplog.rs')
2016-08-04 17:24:54,371 [ERROR] mongo_connector.connector:304 - MongoConnector: OplogThread <OplogThread(Thread-7, started 140485117060864)> unexpectedly stopped! Shutting down
####解决办法:
修改timeout值,从默认的10改为200
sudo vi /usr/local/lib/python2.7/dist-packages/mongo_connector/doc_managers/elastic2_doc_manager.py
将:
self.elastic = Elasticsearch(hosts=[url],**kwargs.get('clientOptions', {}))
修改为:
self.elastic = Elasticsearch(hosts=[url],timeout=200, **kwargs.get('clientOptions', {}))
1、安装elasticsearch-py
pip install elasticsearch
2、更新app.py
cd ~/wooyun_public
git pull
3、修改app.py
vi ~/wooyun_public/flask/app.py
修改:
SEARCH_BY_ES = 'auto'
1、https://imququ.com/post/elasticsearch.html
2、https://github.com/medcl/elasticsearch-analysis-ik
4、http://www.cnblogs.com/ciaos/p/3601209.html
5、https://segmentfault.com/a/1190000002470467
7、https://github.com/mongodb-labs/mongo-connector/wiki/Usage%20with%20ElasticSearch