本文原文连接: http://blog.csdn.net/freewebsys/article/details/45368809 转载请注明出处!
MongoDB 3.0 正式版本发布!这标志着 MongoDB 数据库进入了1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倍的写入效力和增加80%的数据紧缩率,还能减少95%的运维本钱。
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1项难以置信的技术实现,提供无门闩、非梗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-org⑶.0.repo
[mongodb-org⑶.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
安装了所有相干服务。
......
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 on
参考:
http://docs.mongodb.org/manual/core/crud-introduction/
连接到MongoDB,很简单,履行mongo就能够了。
# 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]
>
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1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 }”
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。
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。
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" }
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()
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
接下来就能够创建1个mongodb连接:
连接成功以后效果:
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扩大也很方便。接下来研究。
对应互联网业务来讲没有复杂的join查询。只寻求高效,快速访问。
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