mongodb数据库安装及常见操作
客户端和服务端的安装
# rpm -ivh mongo-10gen-2.4.6-mongodb_1.x86_64.rpm mongo-10gen-server-2.4.6-mongodb_1.x86_64.rpm
创建数据库存放数据目录
# mkdir -pv /mongodb/data
mkdir: created directory `/mongodb'
mkdir: created directory `/mongodb/data'
[root@node2 ~]# chown -R mongod.mongod /mongodb/data
修改配置文件
[root@node2 ~]# vim /etc/mongod.conf
[root@node2 ~]# service mongod start
可以通过访问web界面显示服务器状态:
http://192.168.8.39:28017/
数据库常见操作:
进入数据库
# mongo
- > help
- db.help() help on db methods
- db.mycoll.help() help on collection methods
- sh.help() sharding helpers
- rs.help() replica set helpers
- help admin administrative help
- help connect connecting to a db help
- help keys key shortcuts
- help misc misc things to know
- help mr mapreduce
- show dbs show database names
- show collections show collections in current database
- show users show users in current database
- show profile show most recent system.profile entries with time >= 1ms
- show logs show the accessible logger names
- show log [name] prints out the last segment of log in memory, 'global' is default
- use <db_name> set current database
- db.foo.find() list objects in collection foo
- db.foo.find( { a : 1 } ) list objects in foo where a == 1
- it result of the last line evaluated; use to further iterate
- DBQuery.shellBatchSize = x set default number of items to display on shell
- exit quit the mongo shell
> use testdb
switched to db testdb
> show collections
> show dbs
admin (empty)
local 0.078125GB
test (empty)
testdb (empty)
> db.testcoll.insert({name: "tom"})
> show collections
system.indexes
testcoll
> db.testcoll.find()
{ "_id" : ObjectId("575cd1692756c2ee1a25da27"), "name" : "tom" }
> db.testcoll.insert({name: 'jack'})
> db.testcoll.find()
{ "_id" : ObjectId("575cd1692756c2ee1a25da27"), "name" : "tom" }
{ "_id" : ObjectId("575cd1962756c2ee1a25da28"), "name" : "jack" }
> db.testcoll.insert({name: 'lily',age: 18},{name: 'lucy', age: 19})
显示状态:
> db.testcoll.stats()
{
"ns" : "testdb.testcoll",
"count" : 3,
"size" : 132,
"avgObjSize" : 44,
"storageSize" : 4096,
"numExtents" : 1,
"nindexes" : 1,
"lastExtentSize" : 4096,
"paddingFactor" : 1,
"systemFlags" : 1,
"userFlags" : 0,
"totalIndexSize" : 8176,
"indexSizes" : {
"_id_" : 8176
},
"ok" : 1
}
删除文档
> show collections
system.indexes
testcoll
> show dbs
admin (empty)
local 0.078125GB
test (empty)
testdb 0.203125GB
> db.testcoll.drop()
true
> show collections
system.indexes
创建新表
- > use itpart
- switched to db itpart
- > db.worker.insert({name: 'jack'})
- > db.worker.insert({name: 'tom'})
- > db.worker.insert({name: 'lily',age: 22})
- > db.worker.insert({name: 'lucy',age: 23})
- > db.worker.find()
- { "_id" : ObjectId("575cd3922756c2ee1a25da2a"), "name" : "jack" }
- { "_id" : ObjectId("575cd39a2756c2ee1a25da2b"), "name" : "tom" }
- { "_id" : ObjectId("575cd3ac2756c2ee1a25da2c"), "name" : "lily", "age" : 22 }
- { "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "name" : "lucy", "age" : 23 }
- > db.city.insert({area: 'shenzhen'})
- > show collections
- city
- system.indexes
- worker
- > db.city.find()
- { "_id" : ObjectId("575cd3ef2756c2ee1a25da2e"), "area" : "shenzhen" }
- > db.worker.find()
- { "_id" : ObjectId("575cd3922756c2ee1a25da2a"), "name" : "jack" }
- { "_id" : ObjectId("575cd39a2756c2ee1a25da2b"), "name" : "tom" }
- { "_id" : ObjectId("575cd3ac2756c2ee1a25da2c"), "name" : "lily", "age" : 22 }
- { "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "name" : "lucy", "age" : 23 }
查找年龄大于22的元素
> db.worker.find({age:{$gt: 22}})
{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "name" : "lucy", "age" : 23 }
只显示name
> db.worker.find({age: {$gt: 22}},{name:1 })
{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "name" : "lucy" }
修改元素:
> db.worker.update({age: {$gt: 18}}, {$set: { status: 'A'}},{multi: true})
> db.worker.find()
{ "_id" : ObjectId("575cd3922756c2ee1a25da2a"), "name" : "jack" }
{ "_id" : ObjectId("575cd39a2756c2ee1a25da2b"), "name" : "tom" }
{ "_id" : ObjectId("575cd4f52756c2ee1a25da2f"), "age" : 22, "name" : "jack", "status" : "A" }
{ "_id" : ObjectId("575cd3ac2756c2ee1a25da2c"), "age" : 22, "name" : "lily", "status" : "A" }
{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "age" : 23, "name" : "lucy", "status" : "A" }
删除元素:
- > db.worker.remove({status: 'B'})
- > db.worker.find()
- { "_id" : ObjectId("575cd3922756c2ee1a25da2a"), "name" : "jack" }
- { "_id" : ObjectId("575cd39a2756c2ee1a25da2b"), "name" : "tom" }
- { "_id" : ObjectId("575cd3ac2756c2ee1a25da2c"), "age" : 22, "name" : "lily", "status" : "A" }
- { "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "age" : 23, "name" : "lucy", "status" : "A" }
批量插入数据:
> for(i=1;i<=100;i++) db.testcoll.insert({name: "user" + i,age: i,gender: 'm',preferbooks: ['first book','second book']})
显示前三行
> db.testcoll.find().limit(3)
移除 年龄为8的元素
> db.testcoll.remove({age: 8})
查找年龄大于93的元素
> db.testcoll.find({age: {$gte: 93}})
找出年龄在60~70之间的元素
- > db.testcoll.find({$and: [{age: {$gte: 60}}, {age: {$lte: 70}}]})
- { "_id" : ObjectId("575cd8302756c2ee1a25da6b"), "name" : "user60", "age" : 60, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da6c"), "name" : "user61", "age" : 61, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da6d"), "name" : "user62", "age" : 62, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da6e"), "name" : "user63", "age" : 63, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da6f"), "name" : "user64", "age" : 64, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da70"), "name" : "user65", "age" : 65, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da71"), "name" : "user66", "age" : 66, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da72"), "name" : "user67", "age" : 67, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da73"), "name" : "user68", "age" : 68, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da74"), "name" : "user69", "age" : 69, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
- { "_id" : ObjectId("575cd8302756c2ee1a25da75"), "name" : "user70", "age" : 70, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
显示address属性存在的元素
> db.testcoll.insert({name: 'jack',age: 28, address: 'shenzhen'})
> db.testcoll.find({address: {$exists: true}})
{ "_id" : ObjectId("575cdbf1c1e73f4b26e83033"), "name" : "jack", "age" : 28, "address" : "shenzhen" }
> db.testcoll.find({address: {$exists: false}})
修改元素,默认只修改第一行
> db.testcoll.update({age: {$gt: 80}} , {$set: {gender: 'f'}})
满足条件的全部修改
> db.testcoll.update({age: {$gt: 80}}, {$set: {gender: 'f'}},{multi: true})
删除列
> db.testcoll.update({name: 'user81'},{$unset: {preferbooks: ''}})
> db.testcoll.find({age: {$gt: 80}})
{ "_id" : ObjectId("575cd8302756c2ee1a25da80"), "age" : 81, "gender" : "f", "name" : "user81" }
索引的操作:
显示索引
> db.testcoll.getIndexes()
[
{
"v" : 1,
"key" : {
"_id" : 1
},
"ns" : "itpart.testcoll",
"name" : "_id_"
}
]
> db.testcoll.getIndexes()
[
{
"v" : 1,
"key" : {
"_id" : 1
},
"ns" : "itpart.testcoll",
"name" : "_id_"
},
{
"v" : 1,
"key" : {
"name" : 1
},
"ns" : "itpart.testcoll",
"name" : "name_1"
}
]
设置索引的方法
> db.testcoll.ensureIndex({name:'hashed'})
> db.testcoll.getIndexes()
[
{
"v" : 1,
"key" : {
"_id" : 1
},
"ns" : "itpart.testcoll",
"name" : "_id_"
},
{
"v" : 1,
"key" : {
"name" : 1
},
"ns" : "itpart.testcoll",
"name" : "name_1"
},
{
"v" : 1,
"key" : {
"name" : "hashed"
},
"ns" : "itpart.testcoll",
"name" : "name_hashed"
}
]
删除
> db.testcoll.dropIndex('name_hashed')
{ "nIndexesWas" : 3, "ok" : 1 }
> db.testcoll.getIndexes()
[
{
"v" : 1,
"key" : {
"_id" : 1
},
"ns" : "itpart.testcoll",
"name" : "_id_"
},
{
"v" : 1,
"key" : {
"name" : 1
},
"ns" : "itpart.testcoll",
"name" : "name_1"
}
]
显示查找过程
> db.testcoll.find({name:'user19'})
{ "_id" : ObjectId("575cd8302756c2ee1a25da42"), "name" : "user19", "age" : 19, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
> db.testcoll.find({name:'user19'}).explain()
{
"cursor" : "BtreeCursor name_1",
"isMultiKey" : false,
"n" : 1,
"nscannedObjects" : 1,
"nscanned" : 1,
"nscannedObjectsAllPlans" : 1,
"nscannedAllPlans" : 1,
"scanAndOrder" : false,
"indexOnly" : false,
"nYields" : 0,
"nChunkSkips" : 0,
"millis" : 0,
"indexBounds" : {
"name" : [
[
"user19",
"user19"
]
]
},
"server" : "node2.chinasoft.com:27017"
}
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