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
![](//img-blog.csdn.net/20160617205432741)
可以通过访问web界面显示服务器状态:
http://192.168.8.39:28017/
![](//img-blog.csdn.net/20160617205517221)
数据库常见操作:
进入数据库
# mongo
> 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
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:
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: {$gte: 93}})
找出年龄在60~70之间的元素
显示address属性存在的元素
> db.testcoll.insert({name: 'jack',age: 28, address: 'shenzhen'})
> db.testcoll.find({address: {$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" }
> 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"
}
# 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
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"
}