MongoDB基本语法

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1、数据准备

　　1、MongoDB数据，工具为：Robo 3T

　　

/* 1 */
{
    "_id" : ObjectId("5b8a49d08e5dc1c0b571f775"),
    "userId" : "001",
    "uclass" : "A",
    "name" : "Jack",
    "age" : 10,
    "email" : "a@sina.com",
    "birthday" : ISODate("2018-08-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 2 */
{
    "_id" : ObjectId("5b8a4a758e5dc1c0b571f7b3"),
    "userId" : "002",
    "uclass" : "B",
    "name" : "Back",
    "age" : 11,
    "email" : "b@sina.com",
    "birthday" : ISODate("2018-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 3 */
{
    "_id" : ObjectId("5b8a4b158e5dc1c0b571f80a"),
    "userId" : "003",
    "uclass" : "B",
    "name" : "eack",
    "age" : 11,
    "email" : "b03@sina.com",
    "birthday" : ISODate("2003-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 4 */
{
    "_id" : ObjectId("5b8a4b238e5dc1c0b571f811"),
    "userId" : "004",
    "uclass" : "B",
    "name" : "tack",
    "age" : 11,
    "email" : "b04@sina.com",
    "birthday" : ISODate("2004-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 5 */
{
    "_id" : ObjectId("5b8a4b2e8e5dc1c0b571f818"),
    "userId" : "005",
    "uclass" : "B",
    "name" : "sack",
    "age" : 11,
    "email" : "b05@sina.com",
    "birthday" : ISODate("2005-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 6 */
{
    "_id" : ObjectId("5b8a4b3a8e5dc1c0b571f81f"),
    "userId" : "006",
    "uclass" : "B",
    "name" : "Back",
    "age" : 16,
    "email" : "b06@sina.com",
    "birthday" : ISODate("2006-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 7 */
{
    "_id" : ObjectId("5b8a4b438e5dc1c0b571f828"),
    "userId" : "007",
    "uclass" : "B",
    "name" : "pack",
    "age" : 19,
    "email" : "b07@sina.com",
    "birthday" : ISODate("2012-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 8 */
{
    "_id" : ObjectId("5b8a4b4f8e5dc1c0b571f82b"),
    "userId" : "008",
    "uclass" : "B",
    "name" : "uack",
    "age" : 11,
    "email" : "b08@sina.com",
    "birthday" : ISODate("2018-07-31T03:46:13.885Z"),
    "dataStatus" : 0
}

/* 9 */
{
    "_id" : ObjectId("5b8a4b568e5dc1c0b571f832"),
    "userId" : "009",
    "uclass" : "A",
    "name" : "Back",
    "age" : 11,
    "email" : "b09@sina.com",
    "birthday" : ISODate("2009-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 10 */
{
    "_id" : ObjectId("5b8a4b608e5dc1c0b571f837"),
    "userId" : "010",
    "uclass" : "B",
    "name" : "Back",
    "age" : 11,
    "email" : "b@sina.com",
    "birthday" : ISODate("2018-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 11 */
{
    "_id" : ObjectId("5b8a4b668e5dc1c0b571f83c"),
    "userId" : "011",
    "uclass" : "B",
    "name" : "Back",
    "age" : 11,
    "email" : "b11@sina.com",
    "birthday" : ISODate("2011-07-31T03:46:13.885Z"),
    "dataStatus" : 0
}

/* 12 */
{
    "_id" : ObjectId("5b8a4b6d8e5dc1c0b571f841"),
    "userId" : "012",
    "uclass" : "B",
    "name" : "Back",
    "age" : 11,
    "email" : "b12@sina.com",
    "birthday" : ISODate("2012-07-31T03:46:13.885Z"),
    "dataStatus" : 1
}

/* 13 */
{
    "_id" : ObjectId("5b8a4b8e8e5dc1c0b571f850"),
    "userId" : "013",
    "uclass" : "B",
    "name" : "Back13",
    "age" : 20,
    "email" : "b13@sina.com",
    "birthday" : ISODate("2013-07-31T03:46:13.885Z"),
    "dataStatus" : 0
}
mongo-data

　　2、MySQL数据

　　

CREATE TABLE `user` (
  `userId` varchar(20) NOT NULL,
  `uclass` varchar(20) DEFAULT NULL,
  `name` varchar(50) DEFAULT NULL,
  `age` int(4) DEFAULT NULL,
  `email` varchar(50) DEFAULT NULL,
  `birthday` datetime DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
  `dataStatus` int(2) DEFAULT NULL,
  UNIQUE KEY `key` (`userId`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;



INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('001', 'A', 'Jack', '10', 'a@sina.com', '2018-08-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('002', 'B', 'Back', '11', 'b@sina.com', '2018-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('003', 'B', 'eack', '11', 'b03@sina.com', '2003-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('004', 'B', 'tack', '11', 'b04@sina.com', '2004-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('005', 'B', 'sack', '11', 'b05@sina.com', '2005-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('006', 'B', 'Back', '16', 'b06@sina.com', '2006-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('007', 'B', 'pack', '19', 'b07@sina.com', '2012-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('008', 'B', 'uack', '11', 'b08@sina.com', '2018-07-31 11:46:13', '0');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('009', 'A', 'Back', '11', 'b09@sina.com', '2009-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('010', 'B', 'Back', '11', 'b@sina.com', '2018-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('011', 'B', 'Back', '11', 'b11@sina.com', '2011-07-31 11:46:13', '0');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('012', 'B', 'Back', '11', 'b12@sina.com', '2012-07-31 11:46:13', '1');

INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('013', 'B', 'Back13', '20', 'b13@sina.com', '2013-07-31 11:46:13', '0');
MySQL

2、新增语句

方法 说明 语法 备注
新增 MongoDB

db.getCollection('user').insert({"userId" : "014","uclass" : "B","name" : "Back","age" : 11,"email" : "b14@sina.com","birthday" : ISODate("2018-07-31T03:46:13.885Z"),"dataStatus" : 1});

  
MySQL INSERT INTO `sz-temp`.`user` (`userId`, `uclass`, `name`, `age`, `email`, `birthday`, `dataStatus`) VALUES ('014', 'B', 'Back13', '20', 'b14@sina.com', '2013-07-31 11:46:13', '0');  

3、删除语句

方法 说明 语法 备注
删除 MongoDB db.getCollection('user').remove({"userId":"014"});  
MySQL delete from user where userId = '014';  

4、修改语句

方法 说明 语法 备注
修改 MongoDB db.getCollection('user').update({"userId":"013"}, {$set:{"email":"b13@sina.com", "age":20}});  
MySQL update user set email = 'b13@sina.com', age = 20 where userId = '013';  

5、查询语句

查询方法 说明 语法 备注
查询所有 MongoDB db.getCollection('user').find({});  
MySQL select * from user;  
查询条件：= MongoDB db.getCollection('user').find({"uclass":"A"});  
MySQL select * from user where uclass = 'A';  
查询条件：like MongoDB select * from user where name like '%Ba%';  
MySQL db.getCollection('user').find({"name":/Ba/});  
查询条件：distinct MongoDB select distinct uclass from user u;  
MySQL db.getCollection('user').distinct("name");  
查询条件：$gt MongoDB db.getCollection('user').find({"age":{$gt:16}}); greater than  >
MySQL select * from user where age >16;  
查询条件：$gte MongoDB db.getCollection('user').find({"age":{$gte:16}}); gt equal  >=
MySQL select * from user where age >= 16;  
查询条件：$lt MongoDB db.getCollection('user').find({"age":{$lt:16}}); less than  <
MySQL select * from user where age < 16;  
查询条件：$lte MongoDB db.getCollection('user').find({"age":{$lte:16}}); lt equal  <=
MySQL select * from user where age <= 16;  
查询条件：$ne MongoDB db.getCollection('user').find({"age":{$ne:16}}); not equal  !=
MySQL select * from user where age != 16;  
查询条件：$eq MongoDB db.getCollection('user').find({"age":{$eq:16}});等效于：db.getCollection('user').find({"age":16}); equal  =
MySQL select * from user where age = 16;  
查询条件：in MongoDB db.getCollection('user').find({"uclass":{$in:['A', 'B']}});  
MySQL select * from user where uclass in ('A', 'B');  
查询条件：and MongoDB db.getCollection('user').find({"uclass":"B", "age":{$gt:16}});  
MySQL select * from user where uclass = 'B' and age > 16;  
查询条件：or MongoDB db.getCollection('user').find({$or:[{"uclass":"A"},{"class":"B"}]});  
MySQL select * from user where uclass = 'A' or  uclass = 'B';  
查询条件：时间 MongoDB db.getCollection('user').find({"birthday":{$gt: new Date("2008-08-14T06:24:40.110Z"), $lt: new Date("2015-08-14T06:14:40.089Z")}});  
MySQL select * from user where birthday > '2008-08-14 06:24:40' and birthday < '2015-08-14 06:14:40';  
查询条数：count MongoDB db.getCollection('user').find({"uclass":"A"}).count();  
MySQL select count(1) from user where uclass = 'A';  
查询条件：sort升序 MongoDB db.getCollection('user').find({}).sort({"age":1});  
MySQL select * from user order by age asc;  
查询条件：sort降序 MongoDB db.getCollection('user').find({}).sort({"age":-1});  
MySQL select * from user order by age desc;  
聚合查询：count单列 MongoDB db.getCollection('user').aggregate([{$group:{_id:"$uclass",num:{$sum:1}}}]);  
MySQL select uclass, count(1) as num from user group by uclass;  
聚合查询：count多列 MongoDB db.getCollection('user').aggregate([{$group:{_id:{uclass:"$uclass", age:"$age"},num:{$sum:1}}}]);  
MySQL select uclass, age, count(1) as num from user group by uclass, age;  
分页查询：limit n MongoDB db.getCollection('user').find({}).limit(5); 查询前n条
MySQL select * from user limit 5;  
分页查询：limit m,n MongoDB db.getCollection('user').find({}).limit(5).skip(5); 查询n条，从第m条开始
MySQL select * from user limit 5,5;  
查询指定字段 MongoDB db.getCollection('user').find({}, {userId:1, name:1}); 第一个{}为查询条件
MySQL select userId, name from user;  
排查指定字段 MongoDB db.getCollection('user').find({}, {dataStatus:0, _id:0}); 第一个{}为查询条件
MySQL 无  

6、参考网站

　　http://www.runoob.com/mongodb/mongodb-aggregate.html

　　https://www.jianshu.com/p/5e870132ca7c

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原文地址：https://www.cnblogs.com/mao2080/p/9570909.html