mongodb与mysql命令对比
传统的关系数据库一般由数据库(database)、表(table)、记录(record)三个层次概念组成,MongoDB是由数据库(database)、集合(collection)、文档对象(document)三个层次组成。MongoDB对于关系型数据库里的表,但是集合中没有列、行和关系概念,这体现了模式*的特点。
MySQL |
MongoDB |
说明 |
mysqld |
mongod |
服务器守护进程 |
mysql |
mongo |
客户端工具 |
mysqldump |
mongodump |
逻辑备份工具 |
mysql |
mongorestore |
逻辑恢复工具 |
|
db.repairDatabase() |
修复数据库 |
mysqldump |
mongoexport |
数据导出工具 |
source |
mongoimport |
数据导入工具 |
grant * privileges on *.* to … |
Db.addUser() Db.auth() |
新建用户并权限 |
show databases |
show dbs |
显示库列表 |
Show tables |
Show collections |
显示表列表 |
Show slave status |
Rs.status |
查询主从状态 |
Create table users(a int, b int) |
db.createCollection("mycoll", {capped:true, size:100000}) 另:可隐式创建表。 |
创建表 |
Create INDEX idxname ON users(name) |
db.users.ensureIndex({name:1}) |
创建索引 |
Create INDEX idxname ON users(name,ts DESC) |
db.users.ensureIndex({name:1,ts:-1}) |
创建索引 |
Insert into users values(1, 1) |
db.users.insert({a:1, b:1}) |
插入记录 |
Select a, b from users |
db.users.find({},{a:1, b:1}) |
查询表 |
Select * from users |
db.users.find() |
查询表 |
Select * from users where age=33 |
db.users.find({age:33}) |
条件查询 |
Select a, b from users where age=33 |
db.users.find({age:33},{a:1, b:1}) |
条件查询 |
select * from users where age<33 |
db.users.find({'age':{$lt:33}}) |
条件查询 |
select * from users where age>33 and age<=40 |
db.users.find({'age':{$gt:33,$lte:40}}) |
条件查询 |
select * from users where a=1 and b='q' |
db.users.find({a:1,b:'q'}) |
条件查询 |
select * from users where a=1 or b=2 |
db.users.find( { $or : [ { a : 1 } , { b : 2 } ] } ) |
条件查询 |
select * from users limit 1 |
db.users.findOne() |
条件查询 |
select * from users where name like "%Joe%" |
db.users.find({name:/Joe/}) |
模糊查询 |
select * from users where name like "Joe%" |
db.users.find({name:/^Joe/}) |
模糊查询 |
select count(1) from users |
Db.users.count() |
获取表记录数 |
select count(1) from users where age>30 |
db.users.find({age: {'$gt': 30}}).count() |
获取表记录数 |
select DISTINCT last_name from users |
db.users.distinct('last_name') |
去掉重复值 |
select * from users ORDER BY name |
db.users.find().sort({name:-1}) |
排序 |
select * from users ORDER BY name DESC |
db.users.find().sort({name:-1}) |
排序 |
EXPLAIN select * from users where z=3 |
db.users.find({z:3}).explain() |
获取存储路径 |
update users set a=1 where b='q' |
db.users.update({b:'q'}, {$set:{a:1}}, false, true) |
更新记录 |
update users set a=a+2 where b='q' |
db.users.update({b:'q'}, {$inc:{a:2}}, false, true) |
更新记录 |
delete from users where z="abc" |
db.users.remove({z:'abc'}) |
删除记录 |
|
db. users.remove() |
删除所有的记录 |
drop database IF EXISTS test; |
use test db.dropDatabase() |
删除数据库 |
drop table IF EXISTS test; |
db.mytable.drop() |
删除表/collection |
|
db.addUser(‘test’, ’test’) |
添加用户 readOnly-->false |
|
db.addUser(‘test’, ’test’, true) |
添加用户 readOnly-->true |
|
db.addUser("test","test222") |
更改密码 |
|
db.system.users.remove({user:"test"}) 或者db.removeUser('test') |
删除用户 |
MongoDB | Mysql | |
查询全部 | movies.find(new Document()) | SELECT * FROM movies |
条件查询 | movies.Find(new Document { { "title", "Hello Esr" } }); | SELECT * FROM movies WHERE title= 'foobar' |
查询数量 | movies.Find(new Document { { "title", "测试2" } }).Documents.Count(); | SELECT COUNT(*) FROM movies WHERE `title` = 'foobar' |
数量范围查询 | 1, movies.Find(new Document().Add("
( |
select * from movies where num > 50 |
分页查询 | movies.Find(new Document()).Skip(10).Limit(20); | SELECT * FROM movies limit 10,20 |
查询排序语句 | movies.Find(new Document()).Sort(new Document() { { "num", -1 } }); | SELECT * FROM movies ORDER BY num DESC |
查询指定字段 | movies.Find(new Document().Add("num", new Document().Add("$gt", 50)), 10, 0, new Document() { { "title", 1 } }); | select title from movies where num > 50 |
插入语句 | movies.Insert(new Document() { { "title", "测试" }, { "resuleData", DateTime.Now } }); | INSERT INOT movies (`title`, `reauleDate`) values ('foobar',25) |
删除语句 | movies.Remove(new Document() { { "title", "Hello Esr" } }); | DELETE * FROM movies |
更新语句 | movies.Update(new Document() { { "title", "测试2" } } |
UPDATE movies SET `title` = ‘测试1111’ WHERE `title` = '测试1111' |
Linq查询 | (from item in db.GetCollection("movies").Linq() |
select * from movies where title like ‘%Esr’ |
转自:http://www.cnblogs.com/yangxia-test/p/3979981.html
http://www.cnblogs.com/cxd4321/archive/2011/05/31/2064843.html