1，下载&安装
MongoDB 3.0 正式版本发布!这标志着 MongoDB 数据库进入了一个全新的发展阶段，提供强大、灵活而且易于管理的数据库管理系统。MongoDB宣称，3.0新版本不只提升7到10倍的写入效率以及增加80%的数据压缩率，还能减少95%的运维成本。
MongoDB 3.0主要新特性包括：
·可插入式的存储引擎 API
·支持 WiredTiger 存储引擎
·MMAPv1 提升
·复制集全面提升
·集群方面的改进
·提升了安全性
·工具的提升
WiredTiger 存储引擎是一项难以置信的技术实现，提供无门闩、非堵塞算法来利用先进的硬件平台(如大容量芯片缓存和线程化架构)来提升性能。通过 WiredTiger，MongoDB 3.0 实现了文档级别的并发控制，因此大幅提升了大并发下的写负载。
MongoDB 提供了centos yum安装方式。
参考：http://docs.mongodb.org/manual/tutorial/install-mongodb-on-red-hat/
pdf 手册：
http://docs.mongodb.org/manual/MongoDB-manual.pdf
vi /etc/yum.repos.d/mongodb-org-3.0.repo
[mongodb-org-3.0]
name=MongoDB Repository
baseurl=http://repo.mongodb.org/yum/redhat/$releasever/mongodb-org/3.0/x86_64/ gpgcheck=0 enabled=1安装mongodb
yum install -y mongodb-org安装了所有相关服务。
......
Running transaction
Installing : mongodb-org-shell-3.0.2-1.el7.x86_64 1/5 Installing : mongodb-org-tools-3.0.2-1.el7.x86_64 2/5 Installing : mongodb-org-mongos-3.0.2-1.el7.x86_64 3/5 Installing : mongodb-org-server-3.0.2-1.el7.x86_64 4/5 Installing : mongodb-org-3.0.2-1.el7.x86_64 5/5 Verifying : mongodb-org-3.0.2-1.el7.x86_64 1/5 Verifying : mongodb-org-server-3.0.2-1.el7.x86_64 2/5 Verifying : mongodb-org-mongos-3.0.2-1.el7.x86_64 3/5 Verifying : mongodb-org-tools-3.0.2-1.el7.x86_64 4/5 Verifying : mongodb-org-shell-3.0.2-1.el7.x86_64 5/5配置文件在：/etc/mongod.conf 数据文件在：/var/lib/mongo 日志文件在：/var/log/mongodb mongodb服务使用
#启动
service mongod start
#停止
service mongod stop
#重启
service mongod restart
#增加开机启动
chkconfig mongod on2，MongoDB CRUD
参考： http://docs.mongodb.org/manual/core/crud-introduction/
连接到MongoDB，很简单，执行mongo就可以了。
# mongo
MongoDB shell version: 3.0.2 connecting to: test Welcome to the MongoDB shell. For interactive help, type "help". For more comprehensive documentation, see http://docs.mongodb.org/ Questions? Try the support group http://groups.google.com/group/mongodb-user Server has startup warnings: 2015-04-29T18:03:17.544+0800 I STORAGE [initandlisten] 2015-04-29T18:03:17.544+0800 I STORAGE [initandlisten] ** WARNING: Readahead for /var/lib/mongo is set to 4096KB 2015-04-29T18:03:17.544+0800 I STORAGE [initandlisten] ** We suggest setting it to 256KB (512 sectors) or less 2015-04-29T18:03:17.544+0800 I STORAGE [initandlisten] ** http://dochub.mongodb.org/core/readahead 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'. 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] ** We suggest setting it to 'never' 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'. 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] ** We suggest setting it to 'never' 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] ** WARNING: soft rlimits too low. rlimits set to 4096 processes, 64000 files. Number of processes should be at least 32000 : 0.5 times number of files. 2015-04-29T18:03:17.679+0800 I CONTROL [initandlisten] > 2.1，创建数据：
http://docs.mongodb.org/manual/tutorial/insert-documents/ http://docs.mongodb.org/manual/reference/method/db.collection.insert/
> db.users.insert(
... {
... name:"zhang san",
... age:26, ... city:"bei jing" ... } ... ) WriteResult({ "nInserted" : 1 }) > db.users.insert( ... { ... _id:1, ... name:"zhang san", ... age:26, ... city:"bei jing" ... } ... ) WriteResult({ "nInserted" : 1 }) > db.users.insert( ... { ... _id:1, ... name:"zhang san", ... age:26, ... city:"bei jing" ... } ... ) WriteResult({ "nInserted" : 0, "writeError" : { "code" : 11000, "errmsg" : "E11000 duplicate key error index: test.users.$_id_ dup key: { : 1.0 }" } }) > db.users.insert( ... { ... _id:2, ... name:"li si", ... age:28, ... city:"shang hai" ... } ... ) WriteResult({ "nInserted" : 1 })数据可以没有主键_id，如果没有，会自动生成一个。如果设置了_id主键，就必须不重复。 否则报主键冲突：“E11000 duplicate key error index: test.users.$_id_ dup key: { : 1.0 }”
2.2，更新数据：
http://docs.mongodb.org/manual/tutorial/modify-documents/
> db.users.update(
... {_id:2},
... {
... $set: {
... city:"guang zhou" ... } ... } ... ) WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 }) > db.users.update( ... {_id:3}, ... { ... $set: { ... city:"si chuan" ... } ... }, ... { upsert: true } ... ) WriteResult({ "nMatched" : 0, "nUpserted" : 1, "nModified" : 0, "_id" : 3 })更新使用update，如果增加{ upsert: true }，则表示没有查询到数据直接插入。
2.3，删除：
http://docs.mongodb.org/manual/tutorial/remove-documents/
> db.users.remove({_id:3})
WriteResult({ "nRemoved" : 1 }) > db.users.remove({_id:4}) WriteResult({ "nRemoved" : 0 })查询到数据才进行删除，并且返回删除数量。
2.4，查询：
http://docs.mongodb.org/manual/tutorial/query-documents/
> db.users.find({age:{ $gt: 26}})
{ "_id" : 2, "name" : "li si", "age" : 28, "city" : "guang zhou" } > db.users.find({age:{ $gt: 25}}) { "_id" : ObjectId("5540adf29b0f52a6786de216"), "name" : "zhang san", "age" : 26, "city" : "bei jing" } { "_id" : 1, "name" : "zhang san", "age" : 26, "city" : "bei jing" } { "_id" : 2, "name" : "li si", "age" : 28, "city" : "guang zhou" } #查询全部数据 > db.users.find() { "_id" : ObjectId("5540adf29b0f52a6786de216"), "name" : "zhang san", "age" : 26, "city" : "bei jing" } { "_id" : 1, "name" : "zhang san", "age" : 26, "city" : "bei jing" } { "_id" : 2, "name" : "li si", "age" : 28, "city" : "guang zhou" }2.5，更多方法
db.collection.aggregate() db.collection.count() db.collection.copyTo() db.collection.createIndex() db.collection.getIndexStats() db.collection.indexStats() db.collection.dataSize() db.collection.distinct() db.collection.drop() db.collection.dropIndex() db.collection.dropIndexes() db.collection.ensureIndex() db.collection.explain() db.collection.find() db.collection.findAndModify() db.collection.findOne() db.collection.getIndexes() db.collection.getShardDistribution() db.collection.getShardVersion() db.collection.group() db.collection.insert() db.collection.isCapped() db.collection.mapReduce() db.collection.reIndex() db.collection.remove() db.collection.renameCollection() db.collection.save() db.collection.stats() db.collection.storageSize() db.collection.totalSize() db.collection.totalIndexSize() db.collection.update() db.collection.validate()
3，MongoDB可视化工具
http://www.robomongo.org/ 
使用可视化工具，方便使用MongoDB管理。 首先要修改下端口和ip vi /etc/mongod.conf
port=27017
dbpath=/var/lib/mongo
# location of pidfile
pidfilepath=/var/run/mongodb/mongod.pid
# Listen to local interface only. Comment out to listen on all interfaces. bind_ip=192.168.1.36然后重启MongoDB
service mongod restart接下来就可以创建一个mongodb连接： 连接成功之后效果：
4，总结
本文原文连接: http://blog.csdn.net/freewebsys/article/details/45368809 转载请注明出处！
MongoDB 3.0操作起来还是很方便的。能高效的使用。 同时MongoDB扩展也很方便。接下来研究。 对应互联网业务来说没有复杂的join查询。只追求高效，快速访问。
