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