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  • 需求背景是给一个表名然后给出相应的表结构信息及索引信息 常用命令有如下: 1. desc tableName; desc employees.employees; 2. show columns from tableName; show COLUMNS from employees.employees; 3. ...
    需求背景是给一个表名然后给出相应的表结构信息及索引信息
    常用的命令有如下:
    1. desc tableName; desc employees.employees;
    2. show columns from tableName; show COLUMNS from employees.employees;
    3. describe tableName; DESCRIBE employees.employees;
    这三个显示的结果都是一样的,显示表中filed,type,null,key,default及extra。
    4. show create table tableName; show CREATE TABLE employees.employees;
    这个语句会显示这个表的建表语句。
    5. select * from columns where table_name='表名';select * from information_schema.COLUMNS where TABLE_SCHEMA='employees' and TABLE_NAME='employees';
    这个显示的结果就比较全了。
    接下来,来点更全的sql,这个是用来同步mysql和orac数据字典的所有sql。
    mysql部分:
    ## 查看所有的库
    SELECT
        lower(schema_name) schema_name
    FROM
        information_schema.schemata
    WHERE
        schema_name NOT IN (
            'mysql',
            'information_schema',
            'test',
            'search',
            'tbsearch',
            'sbtest',
            'dev_ddl'
        )
     
    ## 产看某一个库中的所有表
    SELECT
        table_name,
        create_time updated_at,
        table_type,
        ENGINE,
        table_rows num_rows,
        table_comment,
        ceil(data_length / 1024 / 1024) store_capacity
    FROM
        information_schema.TABLES
    WHERE
        table_schema = 'employees'
    AND table_name NOT LIKE 'tmp#_%' ESCAPE '#'
     
    ##查看某一个库下某一个表的所有字段
    SELECT
        lower(column_name) column_name,
        ordinal_position position,
        column_default dafault_value,
        substring(is_nullable, 1, 1) nullable,
        column_type data_type,
        column_comment,
        character_maximum_length data_length,
        numeric_precision data_precision,
        numeric_scale data_scale
    FROM
        information_schema.COLUMNS
    WHERE
        table_schema = 'employees'
    AND table_name = 'employees';
     
     
    ## 查看某一个库下某一张表的索引
     
    SELECT DISTINCT
        lower(index_name) index_name,
        lower(index_type) type
    FROM
        information_schema.statistics
    WHERE
        table_schema = 'employees'
    AND table_name = 'employees';
     
    ## 查看某一个库下某一张表的某一个索引
     
    SELECT
        lower(column_name) column_name,
        seq_in_index column_position
    FROM
        information_schema.statistics
    WHERE
        table_schema = 'employees'
    AND table_name = 'employees'
    AND index_name = 'primary';
     
    ## 查看某一个库下某一个表的注释
    SELECT
        table_comment comments
    FROM
        information_schema.TABLES
    WHERE
        table_schema = 'employees'
    AND table_name = 'employees';
     
    ## 查看某一个库下某一个表的列的注释
    SELECT
        lower(column_name) column_name,
        column_comment comments
    FROM
        COLUMNS
    WHERE
        table_schema = 'employees'
    AND table_name = 'employees';

     

    展开全文
  • 1、数据库 myemployees 其中有4个表: departments表 employees表 jobs表 locations表 2、数据库girls admin表 beauty表 boys表

    1、数据库 myemployees

    其中有4个表:
    在这里插入图片描述

    departments

    在这里插入图片描述
    在这里插入图片描述

    employees表

    在这里插入图片描述
    在这里插入图片描述

    jobs

    在这里插入图片描述
    在这里插入图片描述

    locations

    在这里插入图片描述

    在这里插入图片描述

    2、数据库girls

    在这里插入图片描述

    admin

    在这里插入图片描述

    在这里插入图片描述

    beauty

    在这里插入图片描述
    在这里插入图片描述

    boys

    在这里插入图片描述
    在这里插入图片描述

    展开全文
  • mysql查看表结构信息

    千次阅读 2018-10-20 17:36:37
    需求背景是给一个表名然后给出相应的表结构信息及索引信息 常用命令有如下: 1. desc tableName; desc employees.employees; 2. show columns from tableName; show COLUMNS from employees.employees; 3. ...
    需求背景是给一个表名然后给出相应的表结构信息及索引信息
    常用的命令有如下:
    1. desc tableName; desc employees.employees;
    2. show columns from tableName; show COLUMNS from employees.employees;
    3. describe tableName; DESCRIBE employees.employees;
    这三个显示的结果都是一样的,显示表中filed,type,null,key,default及extra。
    4. show create table tableName; show CREATE TABLE employees.employees;
    这个语句会显示这个表的建表语句。
    5. select * from columns where table_name='表名';select * from information_schema.COLUMNS where TABLE_SCHEMA='employees' and TABLE_NAME='employees';
    这个显示的结果就比较全了。
    接下来,来点更全的sql,这个是用来同步mysql和orac数据字典的所有sql。
    mysql部分:
    
     1 ## 查看所有的库
     2 SELECT
     3     lower(schema_name) schema_name
     4 FROM
     5     information_schema.schemata
     6 WHERE
     7     schema_name NOT IN (
     8         'mysql',
     9         'information_schema',
    10         'test',
    11         'search',
    12         'tbsearch',
    13         'sbtest',
    14         'dev_ddl'
    15     )
    16  
    17 ## 产看某一个库中的所有表
    18 SELECT
    19     table_name,
    20     create_time updated_at,
    21     table_type,
    22     ENGINE,
    23     table_rows num_rows,
    24     table_comment,
    25     ceil(data_length / 1024 / 1024) store_capacity
    26 FROM
    27     information_schema.TABLES
    28 WHERE
    29     table_schema = 'employees'
    30 AND table_name NOT LIKE 'tmp#_%' ESCAPE '#'
    31  
    32 ##查看某一个库下某一个表的所有字段
    33 SELECT
    34     lower(column_name) column_name,
    35     ordinal_position position,
    36     column_default dafault_value,
    37     substring(is_nullable, 1, 1) nullable,
    38     column_type data_type,
    39     column_comment,
    40     character_maximum_length data_length,
    41     numeric_precision data_precision,
    42     numeric_scale data_scale
    43 FROM
    44     information_schema.COLUMNS
    45 WHERE
    46     table_schema = 'employees'
    47 AND table_name = 'employees';
    48  
    49  
    50 ## 查看某一个库下某一张表的索引
    51  
    52 SELECT DISTINCT
    53     lower(index_name) index_name,
    54     lower(index_type) type
    55 FROM
    56     information_schema.statistics
    57 WHERE
    58     table_schema = 'employees'
    59 AND table_name = 'employees';
    60  
    61 ## 查看某一个库下某一张表的某一个索引
    62  
    63 SELECT
    64     lower(column_name) column_name,
    65     seq_in_index column_position
    66 FROM
    67     information_schema.statistics
    68 WHERE
    69     table_schema = 'employees'
    70 AND table_name = 'employees'
    71 AND index_name = 'primary';
    72  
    73 ## 查看某一个库下某一个表的注释
    74 SELECT
    75     table_comment comments
    76 FROM
    77     information_schema.TABLES
    78 WHERE
    79     table_schema = 'employees'
    80 AND table_name = 'employees';
    81  
    82 ## 查看某一个库下某一个表的列的注释
    83 SELECT
    84     lower(column_name) column_name,
    85     column_comment comments
    86 FROM
    87     COLUMNS
    88 WHERE
    89     table_schema = 'employees'
    90 AND table_name = 'employees';

     

    展开全文
  • 数据和结构来源于Oracle数据库中测试用示,为方便在MySQL下测试SQL语句,直接运行SQL语句就可导入数据employees数据/* Navicat MySQL Data Transfer Source Server : MySQL Source Server Version : 50528 ...

    库表数据和结构来源于Oracle数据库中的测试用示,为方便在MySQL下测试SQL语句,直接运行SQL语句就可导入数据


    employees库表数据

    /*
    Navicat MySQL Data Transfer
    
    Source Server         : MySQL
    Source Server Version : 50528
    Source Host           : localhost:3306
    Source Database       : spring_data
    
    Target Server Type    : MYSQL
    Target Server Version : 50528
    File Encoding         : 65001
    
    Date: 2018-02-10 18:48:27
    */
    
    SET FOREIGN_KEY_CHECKS=0;
    
    -- ----------------------------
    -- Table structure for employees
    -- ----------------------------
    DROP TABLE IF EXISTS `employees`;
    CREATE TABLE `employees` (
      `EMPLOYEE_ID` decimal(6,0) NOT NULL COMMENT 'Primary key of employees table.',
      `FIRST_NAME` varchar(20) DEFAULT NULL COMMENT 'First name of the employee. A not null column.',
      `LAST_NAME` varchar(25) NOT NULL COMMENT 'Last name of the employee. A not null column.',
      `EMAIL` varchar(25) NOT NULL COMMENT 'Email id of the employee',
      `PHONE_NUMBER` varchar(20) DEFAULT NULL COMMENT 'Phone number of the employee; includes country code and area code',
      `HIRE_DATE` datetime NOT NULL COMMENT 'Date when the employee started on this job. A not null column.',
      `JOB_ID` varchar(10) NOT NULL COMMENT 'Current job of the employee; foreign key to job_id column of the\r\njobs table. A not null column.',
      `SALARY` decimal(8,2) DEFAULT NULL COMMENT 'Monthly salary of the employee. Must be greater\r\nthan zero (enforced by constraint emp_salary_min)',
      `COMMISSION_PCT` decimal(2,2) DEFAULT NULL COMMENT 'Commission percentage of the employee; Only employees in sales\r\ndepartment elgible for commission percentage',
      `MANAGER_ID` decimal(6,0) DEFAULT NULL COMMENT 'Manager id of the employee; has same domain as manager_id in\r\ndepartments table. Foreign key to employee_id column of employees table.\r\n(useful for reflexive joins and CONNECT BY query)',
      `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL COMMENT 'Department id where employee works; foreign key to department_id\r\ncolumn of the departments table',
      PRIMARY KEY (`EMPLOYEE_ID`),
      KEY `FKgy4qe3dnqrm3ktd76sxp7n4c2` (`DEPARTMENT_ID`),
      CONSTRAINT `FKgy4qe3dnqrm3ktd76sxp7n4c2` FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES `departments` (`DEPARTMENT_ID`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='employees table. Contains 107 rows. References with departments,\r\njobs, job_history tables. Contains a self reference.';
    
    -- ----------------------------
    -- Records of employees
    -- ----------------------------
    INSERT INTO `employees` VALUES ('100', 'Steven', 'King', 'SKING', '515.123.4567', '1987-06-17 00:00:00', 'AD_PRES', '24000.00', null, null, '90');
    INSERT INTO `employees` VALUES ('101', 'Neena', 'Kochhar', 'NKOCHHAR', '515.123.4568', '1989-09-21 00:00:00', 'AD_VP', '17000.00', null, '100', '90');
    INSERT INTO `employees` VALUES ('102', 'Lex', 'De Haan', 'LDEHAAN', '515.123.4569', '1993-01-13 00:00:00', 'AD_VP', '17000.00', null, '100', '90');
    INSERT INTO `employees` VALUES ('103', 'Alexander', 'Hunold', 'AHUNOLD', '590.423.4567', '1990-01-03 00:00:00', 'IT_PROG', '9000.00', null, '102', '60');
    INSERT INTO `employees` VALUES ('104', 'Bruce', 'Ernst', 'BERNST', '590.423.4568', '1991-05-21 00:00:00', 'IT_PROG', '6000.00', null, '103', '60');
    INSERT INTO `employees` VALUES ('105', 'David', 'Austin', 'DAUSTIN', '590.423.4569', '1997-06-25 00:00:00', 'IT_PROG', '4800.00', null, '103', '60');
    INSERT INTO `employees` VALUES ('106', 'Valli', 'Pataballa', 'VPATABAL', '590.423.4560', '1998-02-05 00:00:00', 'IT_PROG', '4800.00', null, '103', '60');
    INSERT INTO `employees` VALUES ('107', 'Diana', 'Lorentz', 'DLORENTZ', '590.423.5567', '1999-02-07 00:00:00', 'IT_PROG', '4200.00', null, '103', '60');
    INSERT INTO `employees` VALUES ('108', 'Nancy', 'Greenberg', 'NGREENBE', '515.124.4569', '1994-08-17 00:00:00', 'FI_MGR', '12000.00', null, '101', '100');
    INSERT INTO `employees` VALUES ('109', 'Daniel', 'Faviet', 'DFAVIET', '515.124.4169', '1994-08-16 00:00:00', 'FI_ACCOUNT', '9000.00', null, '108', '230');
    INSERT INTO `employees` VALUES ('110', 'John', 'Chen', 'JCHEN', '515.124.4269', '1997-09-28 00:00:00', 'FI_ACCOUNT', '8200.00', null, '108', '100');
    INSERT INTO `employees` VALUES ('111', 'Ismael', 'Sciarra', 'ISCIARRA', '515.124.4369', '1997-09-30 00:00:00', 'FI_ACCOUNT', '7700.00', null, '108', '100');
    INSERT INTO `employees` VALUES ('112', 'Jose Manuel', 'Urman', 'JMURMAN', '515.124.4469', '1998-03-07 00:00:00', 'FI_ACCOUNT', '7800.00', null, '108', '100');
    INSERT INTO `employees` VALUES ('113', 'Luis', 'Popp', 'LPOPP', '515.124.4567', '1999-12-07 00:00:00', 'FI_ACCOUNT', '6900.00', null, '108', '100');
    INSERT INTO `employees` VALUES ('114', 'Den', 'Raphaely', 'DRAPHEAL', '515.127.4561', '1994-12-07 00:00:00', 'PU_MAN', '11000.00', null, '100', '30');
    INSERT INTO `employees` VALUES ('115', 'Alexander', 'Khoo', 'AKHOO', '515.127.4562', '1995-05-18 00:00:00', 'PU_CLERK', '3100.00', null, '114', '30');
    INSERT INTO `employees` VALUES ('116', 'Shelli', 'Baida', 'SBAIDA', '515.127.4563', '1997-12-24 00:00:00', 'PU_CLERK', '2900.00', null, '114', '30');
    INSERT INTO `employees` VALUES ('117', 'Sigal', 'Tobias', 'STOBIAS', '515.127.4564', '1997-07-24 00:00:00', 'PU_CLERK', '2800.00', null, '114', '30');
    INSERT INTO `employees` VALUES ('118', 'Guy', 'Himuro', 'GHIMURO', '515.127.4565', '1998-11-15 00:00:00', 'PU_CLERK', '2600.00', null, '114', '30');
    INSERT INTO `employees` VALUES ('119', 'Karen', 'Colmenares', 'KCOLMENA', '515.127.4566', '1999-08-10 00:00:00', 'PU_CLERK', '2500.00', null, '114', '30');
    INSERT INTO `employees` VALUES ('120', 'Matthew', 'Weiss', 'MWEISS', '650.123.1234', '1996-07-18 00:00:00', 'ST_MAN', '8000.00', null, '100', '50');
    INSERT INTO `employees` VALUES ('121', 'Adam', 'Fripp', 'AFRIPP', '650.123.2234', '1997-04-10 00:00:00', 'ST_MAN', '8200.00', null, '100', '50');
    INSERT INTO `employees` VALUES ('122', 'Payam', 'Kaufling', 'PKAUFLIN', '650.123.3234', '1995-05-01 00:00:00', 'ST_MAN', '7900.00', null, '100', '50');
    INSERT INTO `employees` VALUES ('123', 'Shanta', 'Vollman', 'SVOLLMAN', '650.123.4234', '1997-10-10 00:00:00', 'ST_MAN', '6500.00', null, '100', '50');
    INSERT INTO `employees` VALUES ('124', 'Kevin', 'Mourgos', 'KMOURGOS', '650.123.5234', '1999-11-16 00:00:00', 'ST_MAN', '5800.00', null, '100', '50');
    INSERT INTO `employees` VALUES ('125', 'Julia', 'Nayer', 'JNAYER', '650.124.1214', '1997-07-16 00:00:00', 'ST_CLERK', '3200.00', null, '120', '50');
    INSERT INTO `employees` VALUES ('126', 'Irene', 'Mikkilineni', 'IMIKKILI', '650.124.1224', '1998-09-28 00:00:00', 'ST_CLERK', '2700.00', null, '120', '50');
    INSERT INTO `employees` VALUES ('127', 'James', 'Landry', 'JLANDRY', '650.124.1334', '1999-01-14 00:00:00', 'ST_CLERK', '2400.00', null, '120', '50');
    INSERT INTO `employees` VALUES ('128', 'Steven', 'Markle', 'SMARKLE', '650.124.1434', '2000-03-08 00:00:00', 'ST_CLERK', '2200.00', null, '120', '50');
    INSERT INTO `employees` VALUES ('129', 'Laura', 'Bissot', 'LBISSOT', '650.124.5234', '1997-08-20 00:00:00', 'ST_CLERK', '3300.00', null, '121', '50');
    INSERT INTO `employees` VALUES ('130', 'Mozhe', 'Atkinson', 'MATKINSO', '650.124.6234', '1997-10-30 00:00:00', 'ST_CLERK', '2800.00', null, '121', '50');
    INSERT INTO `employees` VALUES ('131', 'James', 'Marlow', 'JAMRLOW', '650.124.7234', '1997-02-16 00:00:00', 'ST_CLERK', '2500.00', null, '121', '50');
    INSERT INTO `employees` VALUES ('132', 'TJ', 'Olson', 'TJOLSON', '650.124.8234', '1999-04-10 00:00:00', 'ST_CLERK', '2100.00', null, '121', '50');
    INSERT INTO `employees` VALUES ('133', 'Jason', 'Mallin', 'JMALLIN', '650.127.1934', '1996-06-14 00:00:00', 'ST_CLERK', '3300.00', null, '122', '50');
    INSERT INTO `employees` VALUES ('134', 'Michael', 'Rogers', 'MROGERS', '650.127.1834', '1998-08-26 00:00:00', 'ST_CLERK', '2900.00', null, '122', '50');
    INSERT INTO `employees` VALUES ('135', 'Ki', 'Gee', 'KGEE', '650.127.1734', '1999-12-12 00:00:00', 'ST_CLERK', '2400.00', null, '122', '50');
    INSERT INTO `employees` VALUES ('136', 'Hazel', 'Philtanker', 'HPHILTAN', '650.127.1634', '2000-02-06 00:00:00', 'ST_CLERK', '2200.00', null, '122', '50');
    INSERT INTO `employees` VALUES ('137', 'Renske', 'Ladwig', 'RLADWIG', '650.121.1234', '1995-07-14 00:00:00', 'ST_CLERK', '3600.00', null, '123', '50');
    INSERT INTO `employees` VALUES ('138', 'Stephen', 'Stiles', 'SSTILES', '650.121.2034', '1997-10-26 00:00:00', 'ST_CLERK', '3200.00', null, '123', '50');
    INSERT INTO `employees` VALUES ('139', 'John', 'Seo', 'JSEO', '650.121.2019', '1998-02-12 00:00:00', 'ST_CLERK', '2700.00', null, '123', '50');
    INSERT INTO `employees` VALUES ('140', 'Joshua', 'Patel', 'JPATEL', '650.121.1834', '1998-04-06 00:00:00', 'ST_CLERK', '2500.00', null, '123', '50');
    INSERT INTO `employees` VALUES ('141', 'Trenna', 'Rajs', 'TRAJS', '650.121.8009', '1995-10-17 00:00:00', 'ST_CLERK', '3500.00', null, '124', '50');
    INSERT INTO `employees` VALUES ('142', 'Curtis', 'Davies', 'CDAVIES', '650.121.2994', '1997-01-29 00:00:00', 'ST_CLERK', '3100.00', null, '124', '50');
    INSERT INTO `employees` VALUES ('143', 'Randall', 'Matos', 'RMATOS', '650.121.2874', '1998-03-15 00:00:00', 'ST_CLERK', '2600.00', null, '124', '50');
    INSERT INTO `employees` VALUES ('144', 'Peter', 'Vargas', 'PVARGAS', '650.121.2004', '1998-07-09 00:00:00', 'ST_CLERK', '2500.00', null, '124', '50');
    INSERT INTO `employees` VALUES ('145', 'John', 'Russell', 'JRUSSEL', '011.44.1344.429268', '1996-10-01 00:00:00', 'SA_MAN', '14000.00', '0.40', '100', '80');
    INSERT INTO `employees` VALUES ('146', 'Karen', 'Partners', 'KPARTNER', '011.44.1344.467268', '1997-01-05 00:00:00', 'SA_MAN', '13500.00', '0.30', '100', '80');
    INSERT INTO `employees` VALUES ('147', 'Alberto', 'Errazuriz', 'AERRAZUR', '011.44.1344.429278', '1997-03-10 00:00:00', 'SA_MAN', '12000.00', '0.30', '100', '80');
    INSERT INTO `employees` VALUES ('148', 'Gerald', 'Cambrault', 'GCAMBRAU', '011.44.1344.619268', '1999-10-15 00:00:00', 'SA_MAN', '11000.00', '0.30', '100', '80');
    INSERT INTO `employees` VALUES ('149', 'Eleni', 'Zlotkey', 'EZLOTKEY', '011.44.1344.429018', '2000-01-29 00:00:00', 'SA_MAN', '10500.00', '0.20', '100', '80');
    INSERT INTO `employees` VALUES ('150', 'Peter', 'Tucker', 'PTUCKER', '011.44.1344.129268', '1997-01-30 00:00:00', 'SA_REP', '10000.00', '0.30', '145', '80');
    INSERT INTO `employees` VALUES ('151', 'David', 'Bernstein', 'DBERNSTE', '011.44.1344.345268', '1997-03-24 00:00:00', 'SA_REP', '9500.00', '0.25', '145', '80');
    INSERT INTO `employees` VALUES ('152', 'Peter', 'Hall', 'PHALL', '011.44.1344.478968', '1997-08-20 00:00:00', 'SA_REP', '9000.00', '0.25', '145', '80');
    INSERT INTO `employees` VALUES ('153', 'Christopher', 'Olsen', 'COLSEN', '011.44.1344.498718', '1998-03-30 00:00:00', 'SA_REP', '8000.00', '0.20', '145', '80');
    INSERT INTO `employees` VALUES ('154', 'Nanette', 'Cambrault', 'NCAMBRAU', '011.44.1344.987668', '1998-12-09 00:00:00', 'SA_REP', '7500.00', '0.20', '145', '80');
    INSERT INTO `employees` VALUES ('155', 'Oliver', 'Tuvault', 'OTUVAULT', '011.44.1344.486508', '1999-11-23 00:00:00', 'SA_REP', '7000.00', '0.15', '145', '80');
    INSERT INTO `employees` VALUES ('156', 'Janette', 'King', 'JKING', '011.44.1345.429268', '1996-01-30 00:00:00', 'SA_REP', '10000.00', '0.35', '146', '80');
    INSERT INTO `employees` VALUES ('157', 'Patrick', 'Sully', 'PSULLY', '011.44.1345.929268', '1996-03-04 00:00:00', 'SA_REP', '9500.00', '0.35', '146', '80');
    INSERT INTO `employees` VALUES ('158', 'Allan', 'McEwen', 'AMCEWEN', '011.44.1345.829268', '1996-08-01 00:00:00', 'SA_REP', '9000.00', '0.35', '146', '80');
    INSERT INTO `employees` VALUES ('159', 'Lindsey', 'Smith', 'LSMITH', '011.44.1345.729268', '1997-03-10 00:00:00', 'SA_REP', '8000.00', '0.30', '146', '80');
    INSERT INTO `employees` VALUES ('160', 'Louise', 'Doran', 'LDORAN', '011.44.1345.629268', '1997-12-15 00:00:00', 'SA_REP', '7500.00', '0.30', '146', '80');
    INSERT INTO `employees` VALUES ('161', 'Sarath', 'Sewall', 'SSEWALL', '011.44.1345.529268', '1998-11-03 00:00:00', 'SA_REP', '7000.00', '0.25', '146', '80');
    INSERT INTO `employees` VALUES ('162', 'Clara', 'Vishney', 'CVISHNEY', '011.44.1346.129268', '1997-11-11 00:00:00', 'SA_REP', '10500.00', '0.25', '147', '80');
    INSERT INTO `employees` VALUES ('163', 'Danielle', 'Greene', 'DGREENE', '011.44.1346.229268', '1999-03-19 00:00:00', 'SA_REP', '9500.00', '0.15', '147', '80');
    INSERT INTO `employees` VALUES ('164', 'Mattea', 'Marvins', 'MMARVINS', '011.44.1346.329268', '2000-01-24 00:00:00', 'SA_REP', '7200.00', '0.10', '147', '80');
    INSERT INTO `employees` VALUES ('165', 'David', 'Lee', 'DLEE', '011.44.1346.529268', '2000-02-23 00:00:00', 'SA_REP', '6800.00', '0.10', '147', '80');
    INSERT INTO `employees` VALUES ('166', 'Sundar', 'Ande', 'SANDE', '011.44.1346.629268', '2000-03-24 00:00:00', 'SA_REP', '6400.00', '0.10', '147', '80');
    INSERT INTO `employees` VALUES ('167', 'Amit', 'Banda', 'ABANDA', '011.44.1346.729268', '2000-04-21 00:00:00', 'SA_REP', '6200.00', '0.10', '147', '80');
    INSERT INTO `employees` VALUES ('168', 'Lisa', 'Ozer', 'LOZER', '011.44.1343.929268', '1997-03-11 00:00:00', 'SA_REP', '11500.00', '0.25', '148', '80');
    INSERT INTO `employees` VALUES ('169', 'Harrison', 'Bloom', 'HBLOOM', '011.44.1343.829268', '1998-03-23 00:00:00', 'SA_REP', '10000.00', '0.20', '148', '80');
    INSERT INTO `employees` VALUES ('170', 'Tayler', 'Fox', 'TFOX', '011.44.1343.729268', '1998-01-24 00:00:00', 'SA_REP', '9600.00', '0.20', '148', '80');
    INSERT INTO `employees` VALUES ('171', 'William', 'Smith', 'WSMITH', '011.44.1343.629268', '1999-02-23 00:00:00', 'SA_REP', '7400.00', '0.15', '148', '80');
    INSERT INTO `employees` VALUES ('172', 'Elizabeth', 'Bates', 'EBATES', '011.44.1343.529268', '1999-03-24 00:00:00', 'SA_REP', '7300.00', '0.15', '148', '80');
    INSERT INTO `employees` VALUES ('173', 'Sundita', 'Kumar', 'SKUMAR', '011.44.1343.329268', '2000-04-21 00:00:00', 'SA_REP', '6100.00', '0.10', '148', '80');
    INSERT INTO `employees` VALUES ('174', 'Ellen', 'Abel', 'EABEL', '011.44.1644.429267', '1996-05-11 00:00:00', 'SA_REP', '11000.00', '0.30', '149', '80');
    INSERT INTO `employees` VALUES ('175', 'Alyssa', 'Hutton', 'AHUTTON', '011.44.1644.429266', '1997-03-19 00:00:00', 'SA_REP', '8800.00', '0.25', '149', '80');
    INSERT INTO `employees` VALUES ('176', 'Jonathon', 'Taylor', 'JTAYLOR', '011.44.1644.429265', '1998-03-24 00:00:00', 'SA_REP', '8600.00', '0.20', '149', '80');
    INSERT INTO `employees` VALUES ('177', 'Jack', 'Livingston', 'JLIVINGS', '011.44.1644.429264', '1998-04-23 00:00:00', 'SA_REP', '8400.00', '0.20', '149', '80');
    INSERT INTO `employees` VALUES ('178', 'Kimberely', 'Grant', 'KGRANT', '011.44.1644.429263', '1999-05-24 00:00:00', 'SA_REP', '7000.00', '0.15', '149', null);
    INSERT INTO `employees` VALUES ('179', 'Charles', 'Johnson', 'CJOHNSON', '011.44.1644.429262', '2000-01-04 00:00:00', 'SA_REP', '6200.00', '0.10', '149', '80');
    INSERT INTO `employees` VALUES ('180', 'Winston', 'Taylor', 'WTAYLOR', '650.507.9876', '1998-01-24 00:00:00', 'SH_CLERK', '3200.00', null, '120', '50');
    INSERT INTO `employees` VALUES ('181', 'Jean', 'Fleaur', 'JFLEAUR', '650.507.9877', '1998-02-23 00:00:00', 'SH_CLERK', '3100.00', null, '120', '50');
    INSERT INTO `employees` VALUES ('182', 'Martha', 'Sullivan', 'MSULLIVA', '650.507.9878', '1999-06-21 00:00:00', 'SH_CLERK', '2500.00', null, '120', '50');
    INSERT INTO `employees` VALUES ('183', 'Girard', 'Geoni', 'GGEONI', '650.507.9879', '2000-02-03 00:00:00', 'SH_CLERK', '2800.00', null, '120', '50');
    INSERT INTO `employees` VALUES ('184', 'Nandita', 'Sarchand', 'NSARCHAN', '650.509.1876', '1996-01-27 00:00:00', 'SH_CLERK', '4200.00', null, '121', '50');
    INSERT INTO `employees` VALUES ('185', 'Alexis', 'Bull', 'ABULL', '650.509.2876', '1997-02-20 00:00:00', 'SH_CLERK', '4100.00', null, '121', '50');
    INSERT INTO `employees` VALUES ('186', 'Julia', 'Dellinger', 'JDELLING', '650.509.3876', '1998-06-24 00:00:00', 'SH_CLERK', '3400.00', null, '121', '50');
    INSERT INTO `employees` VALUES ('187', 'Anthony', 'Cabrio', 'ACABRIO', '650.509.4876', '1999-02-07 00:00:00', 'SH_CLERK', '3000.00', null, '121', '50');
    INSERT INTO `employees` VALUES ('188', 'Kelly', 'Chung', 'KCHUNG', '650.505.1876', '1997-06-14 00:00:00', 'SH_CLERK', '3800.00', null, '122', '50');
    INSERT INTO `employees` VALUES ('189', 'Jennifer', 'Dilly', 'JDILLY', '650.505.2876', '1997-08-13 00:00:00', 'SH_CLERK', '3600.00', null, '122', '50');
    INSERT INTO `employees` VALUES ('190', 'Timothy', 'Gates', 'TGATES', '650.505.3876', '1998-07-11 00:00:00', 'SH_CLERK', '2900.00', null, '122', '50');
    INSERT INTO `employees` VALUES ('191', 'Randall', 'Perkins', 'RPERKINS', '650.505.4876', '1999-12-19 00:00:00', 'SH_CLERK', '2500.00', null, '122', '50');
    INSERT INTO `employees` VALUES ('192', 'Sarah', 'Bell', 'SBELL', '650.501.1876', '1996-02-04 00:00:00', 'SH_CLERK', '4000.00', null, '123', '50');
    INSERT INTO `employees` VALUES ('193', 'Britney', 'Everett', 'BEVERETT', '650.501.2876', '1997-03-03 00:00:00', 'SH_CLERK', '3900.00', null, '123', '50');
    INSERT INTO `employees` VALUES ('194', 'Samuel', 'McCain', 'SMCCAIN', '650.501.3876', '1998-07-01 00:00:00', 'SH_CLERK', '3200.00', null, '123', '50');
    INSERT INTO `employees` VALUES ('195', 'Vance', 'Jones', 'VJONES', '650.501.4876', '1999-03-17 00:00:00', 'SH_CLERK', '2800.00', null, '123', '50');
    INSERT INTO `employees` VALUES ('196', 'Alana', 'Walsh', 'AWALSH', '650.507.9811', '1998-04-24 00:00:00', 'SH_CLERK', '3100.00', null, '124', '50');
    INSERT INTO `employees` VALUES ('197', 'Kevin', 'Feeney', 'KFEENEY', '650.507.9822', '1998-05-23 00:00:00', 'SH_CLERK', '3000.00', null, '124', '50');
    INSERT INTO `employees` VALUES ('198', 'Donald', 'OConnell', 'DOCONNEL', '650.507.9833', '1999-06-21 00:00:00', 'SH_CLERK', '2600.00', null, '124', '50');
    INSERT INTO `employees` VALUES ('199', 'Douglas', 'Grant', 'DGRANT', '650.507.9844', '2000-01-13 00:00:00', 'SH_CLERK', '2600.00', null, '124', '50');
    INSERT INTO `employees` VALUES ('200', 'Jennifer', 'Whalen', 'JWHALEN', '515.123.4444', '1987-09-17 00:00:00', 'AD_ASST', '4400.00', null, '101', '10');
    INSERT INTO `employees` VALUES ('201', 'Michael', 'Hartstein', 'MHARTSTE', '515.123.5555', '1996-02-17 00:00:00', 'MK_MAN', '13000.00', null, '100', '20');
    INSERT INTO `employees` VALUES ('202', 'Pat', 'Fay', 'PFAY', '603.123.6666', '1997-08-17 00:00:00', 'MK_REP', '6000.00', null, '201', '20');
    INSERT INTO `employees` VALUES ('203', 'Susan', 'Mavris', 'SMAVRIS', '515.123.7777', '1994-06-07 00:00:00', 'HR_REP', '6500.00', null, '101', '40');
    INSERT INTO `employees` VALUES ('204', 'Hermann', 'Baer', 'HBAER', '515.123.8888', '1994-06-07 00:00:00', 'PR_REP', '10000.00', null, '101', '70');
    INSERT INTO `employees` VALUES ('205', 'Shelley', 'Higgins', 'SHIGGINS', '515.123.8080', '1994-06-07 00:00:00', 'AC_MGR', '12000.00', null, '101', '110');
    INSERT INTO `employees` VALUES ('206', 'William', 'Gietz', 'WGIETZ', '515.123.8181', '1994-06-07 00:00:00', 'AC_ACCOUNT', '8300.00', null, '205', '110');
    

    department库表数据

    /*
    Navicat MySQL Data Transfer
    
    Source Server         : MySQL
    Source Server Version : 50528
    Source Host           : localhost:3306
    Source Database       : spring_data
    
    Target Server Type    : MYSQL
    Target Server Version : 50528
    File Encoding         : 65001
    
    Date: 2018-02-10 19:26:40
    */
    
    SET FOREIGN_KEY_CHECKS=0;
    
    -- ----------------------------
    -- Table structure for departments
    -- ----------------------------
    DROP TABLE IF EXISTS `departments`;
    CREATE TABLE `departments` (
      `DEPARTMENT_ID` decimal(4,0) NOT NULL COMMENT 'Primary key column of departments table.',
      `DEPARTMENT_NAME` varchar(30) NOT NULL COMMENT 'A not null column that shows name of a department. Administration,\r\nMarketing, Purchasing, Human Resources, Shipping, IT, Executive, Public\r\nRelations, Sales, Finance, and Accounting. ',
      `MANAGER_ID` decimal(6,0) DEFAULT NULL COMMENT 'Manager_id of a department. Foreign key to employee_id column of employees table. The manager_id column of the employee table references this column.',
      `LOCATION_ID` decimal(4,0) DEFAULT NULL COMMENT 'Location id where a department is located. Foreign key to location_id column of locations table.',
      PRIMARY KEY (`DEPARTMENT_ID`),
      KEY `FKqsrwrq8xt10jqu1jjwpdnvnno` (`LOCATION_ID`),
      CONSTRAINT `FKqsrwrq8xt10jqu1jjwpdnvnno` FOREIGN KEY (`LOCATION_ID`) REFERENCES `locations` (`LOCATION_ID`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='Departments table that shows details of departments where employees\r\nwork. Contains 27 rows; references with locations, employees, and job_history tables.';
    
    -- ----------------------------
    -- Records of departments
    -- ----------------------------
    INSERT INTO `departments` VALUES ('10', 'Administration', '200', '1700');
    INSERT INTO `departments` VALUES ('20', 'Marketing', '201', '1800');
    INSERT INTO `departments` VALUES ('30', 'Purchasing', '114', '1700');
    INSERT INTO `departments` VALUES ('40', 'Human Resources', '203', '2400');
    INSERT INTO `departments` VALUES ('50', 'Shipping', '121', '1500');
    INSERT INTO `departments` VALUES ('60', 'IT', '103', '1400');
    INSERT INTO `departments` VALUES ('70', 'Public Relations', '204', '2700');
    INSERT INTO `departments` VALUES ('80', 'Sales', '145', '2500');
    INSERT INTO `departments` VALUES ('90', 'Executive', '100', '1700');
    INSERT INTO `departments` VALUES ('100', 'Finance', '108', '1700');
    INSERT INTO `departments` VALUES ('110', 'Accounting', '205', '1700');
    INSERT INTO `departments` VALUES ('120', 'Treasury', null, '1700');
    INSERT INTO `departments` VALUES ('130', 'Corporate Tax', null, '1700');
    INSERT INTO `departments` VALUES ('140', 'Control And Credit', null, '1700');
    INSERT INTO `departments` VALUES ('150', 'Shareholder Services', null, '1700');
    INSERT INTO `departments` VALUES ('160', 'Benefits', null, '1700');
    INSERT INTO `departments` VALUES ('170', 'Manufacturing', null, '1700');
    INSERT INTO `departments` VALUES ('180', 'Construction', null, '1700');
    INSERT INTO `departments` VALUES ('190', 'Contracting', null, '1700');
    INSERT INTO `departments` VALUES ('200', 'Operations', null, '1700');
    INSERT INTO `departments` VALUES ('210', 'IT Support', null, '1700');
    INSERT INTO `departments` VALUES ('220', 'NOC', null, '1700');
    INSERT INTO `departments` VALUES ('230', 'IT Helpdesk', null, '1700');
    INSERT INTO `departments` VALUES ('240', 'Government Sales', null, '1700');
    INSERT INTO `departments` VALUES ('250', 'Retail Sales', null, '1700');
    INSERT INTO `departments` VALUES ('260', 'Recruiting', null, '1700');
    INSERT INTO `departments` VALUES ('270', 'Payroll', null, '1700');
    

    locations库表数据

    /*
    Navicat MySQL Data Transfer
    
    Source Server         : MySQL
    Source Server Version : 50528
    Source Host           : localhost:3306
    Source Database       : spring_data
    
    Target Server Type    : MYSQL
    Target Server Version : 50528
    File Encoding         : 65001
    
    Date: 2018-02-10 19:27:56
    */
    
    SET FOREIGN_KEY_CHECKS=0;
    
    -- ----------------------------
    -- Table structure for locations
    -- ----------------------------
    DROP TABLE IF EXISTS `locations`;
    CREATE TABLE `locations` (
      `LOCATION_ID` decimal(4,0) NOT NULL COMMENT 'Primary key of locations table',
      `STREET_ADDRESS` varchar(40) DEFAULT NULL COMMENT 'Street address of an office, warehouse, or production site of a company.\r\nContains building number and street name',
      `POSTAL_CODE` varchar(12) DEFAULT NULL COMMENT 'Postal code of the location of an office, warehouse, or production site\r\nof a company. ',
      `CITY` varchar(30) NOT NULL COMMENT 'A not null column that shows city where an office, warehouse, or\r\nproduction site of a company is located. ',
      `STATE_PROVINCE` varchar(25) DEFAULT NULL COMMENT 'State or Province where an office, warehouse, or production site of a\r\ncompany is located.',
      `COUNTRY_ID` char(2) DEFAULT NULL COMMENT 'Country where an office, warehouse, or production site of a company is\r\nlocated. Foreign key to country_id column of the countries table.',
      PRIMARY KEY (`LOCATION_ID`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='Locations table that contains specific address of a specific office,\r\nwarehouse, and/or production site of a company. Does not store addresses /\r\nlocations of customers. Contains 23 rows; references with the\r\ndepartments and countries tables. ';
    
    -- ----------------------------
    -- Records of locations
    -- ----------------------------
    INSERT INTO `locations` VALUES ('1000', '1297 Via Cola di Rie', '00989', 'Roma', null, 'IT');
    INSERT INTO `locations` VALUES ('1100', '93091 Calle della Testa', '10934', 'Venice', null, 'IT');
    INSERT INTO `locations` VALUES ('1200', '2017 Shinjuku-ku', '1689', 'Tokyo', 'Tokyo Prefecture', 'JP');
    INSERT INTO `locations` VALUES ('1300', '9450 Kamiya-cho', '6823', 'Hiroshima', null, 'JP');
    INSERT INTO `locations` VALUES ('1400', '2014 Jabberwocky Rd', '26192', 'Southlake', 'Texas', 'US');
    INSERT INTO `locations` VALUES ('1500', '2011 Interiors Blvd', '99236', 'South San Francisco', 'California', 'US');
    INSERT INTO `locations` VALUES ('1600', '2007 Zagora St', '50090', 'South Brunswick', 'New Jersey', 'US');
    INSERT INTO `locations` VALUES ('1700', '2004 Charade Rd', '98199', 'Seattle', 'Washington', 'US');
    INSERT INTO `locations` VALUES ('1800', '147 Spadina Ave', 'M5V 2L7', 'Toronto', 'Ontario', 'CA');
    INSERT INTO `locations` VALUES ('1900', '6092 Boxwood St', 'YSW 9T2', 'Whitehorse', 'Yukon', 'CA');
    INSERT INTO `locations` VALUES ('2000', '40-5-12 Laogianggen', '190518', 'Beijing', null, 'CN');
    INSERT INTO `locations` VALUES ('2100', '1298 Vileparle (E)', '490231', 'Bombay', 'Maharashtra', 'IN');
    INSERT INTO `locations` VALUES ('2200', '12-98 Victoria Street', '2901', 'Sydney', 'New South Wales', 'AU');
    INSERT INTO `locations` VALUES ('2300', '198 Clementi North', '540198', 'Singapore', null, 'SG');
    INSERT INTO `locations` VALUES ('2400', '8204 Arthur St', null, 'London', null, 'UK');
    INSERT INTO `locations` VALUES ('2500', 'Magdalen Centre, The Oxford Science Park', 'OX9 9ZB', 'Oxford', 'Oxford', 'UK');
    INSERT INTO `locations` VALUES ('2600', '9702 Chester Road', '09629850293', 'Stretford', 'Manchester', 'UK');
    INSERT INTO `locations` VALUES ('2700', 'Schwanthalerstr. 7031', '80925', 'Munich', 'Bavaria', 'DE');
    INSERT INTO `locations` VALUES ('2800', 'Rua Frei Caneca 1360 ', '01307-002', 'Sao Paulo', 'Sao Paulo', 'BR');
    INSERT INTO `locations` VALUES ('2900', '20 Rue des Corps-Saints', '1730', 'Geneva', 'Geneve', 'CH');
    INSERT INTO `locations` VALUES ('3000', 'Murtenstrasse 921', '3095', 'Bern', 'BE', 'CH');
    INSERT INTO `locations` VALUES ('3100', 'Pieter Breughelstraat 837', '3029SK', 'Utrecht', 'Utrecht', 'NL');
    INSERT INTO `locations` VALUES ('3200', 'Mariano Escobedo 9991', '11932', 'Mexico City', 'Distrito Federal,', 'MX');
    

    countries库表数据

    /*
    Navicat MySQL Data Transfer
    
    Source Server         : MySQL
    Source Server Version : 50528
    Source Host           : localhost:3306
    Source Database       : spring_data
    
    Target Server Type    : MYSQL
    Target Server Version : 50528
    File Encoding         : 65001
    
    Date: 2018-02-10 19:19:25
    */
    
    SET FOREIGN_KEY_CHECKS=0;
    
    -- ----------------------------
    -- Table structure for countries
    -- ----------------------------
    DROP TABLE IF EXISTS `countries`;
    CREATE TABLE `countries` (
      `COUNTRY_ID` char(2) NOT NULL COMMENT 'Primary key of countries table.',
      `COUNTRY_NAME` varchar(40) DEFAULT NULL COMMENT 'Country name',
      `REGION_ID` decimal(65,30) DEFAULT NULL COMMENT 'Region ID for the country. Foreign key to region_id column in the departments table.',
      PRIMARY KEY (`COUNTRY_ID`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='country table. Contains 25 rows. References with locations table.';
    
    -- ----------------------------
    -- Records of countries
    -- ----------------------------
    INSERT INTO `countries` VALUES ('AR', 'Argentina', '2.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('AU', 'Australia', '3.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('BE', 'Belgium', '1.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('BR', 'Brazil', '2.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('CA', 'Canada', '2.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('CH', 'Switzerland', '1.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('CN', 'China', '3.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('DE', 'Germany', '1.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('DK', 'Denmark', '1.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('EG', 'Egypt', '4.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('FR', 'France', '1.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('HK', 'HongKong', '3.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('IL', 'Israel', '4.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('IN', 'India', '3.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('IT', 'Italy', '1.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('JP', 'Japan', '3.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('KW', 'Kuwait', '4.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('MX', 'Mexico', '2.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('NG', 'Nigeria', '4.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('NL', 'Netherlands', '1.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('SG', 'Singapore', '3.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('UK', 'United Kingdom', '1.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('US', 'United States of America', '2.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('ZM', 'Zambia', '4.000000000000000000000000000000');
    INSERT INTO `countries` VALUES ('ZW', 'Zimbabwe', '4.000000000000000000000000000000');
    

    2018-02-10

    展开全文
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    2019-11-03 15:54:05
    简单理解,分区就是不同目录结构是最外层目录,里面分区对应目录里各个子目录,例如: ... .../employees/country=CA/state=AB .../employees/country=CA/state=BC ... .../employees/country=US/...
  • 对于组织架构中员工层次关系我们应该怎么建模呢? 如下图所示: 此类结构通常有两个主要特点: 1、一个孩子有且只有一个父亲 ...每个员工在Employees表中会有一条记录,并通过parent_id来记录其直属领导employe
  • 练习1:数据表的基本操作

    千次阅读 2019-08-29 15:23:24
    案例:创建数据库company,按照下面两个表给出的表结构在company数据库中创建两个数据表offices和employees,按照操作过程完成数据表的基本操作。 操作过程如下: (1):登录MySQL。 打开windows命令行,输入登录...
  • Employees表的结构: Employee.Java代码: [java] view plain copy package com.qiuclass.persistent;    public class Employee{     private long eid;   private ...
  • 在工作中我们会遇到从数据库中获取某些对象的定义脚本,比如:PROCEDUREPACKAGEPACKAGE BODYTRIGGERFUNCTIONTABLE等...获取HR用户下employees表的结构:1.查看employees表中有哪些字段:SQL>descemployees; 名称...
  • mysql 单查询练习

    千次阅读 2017-05-13 21:59:51
    原文地址sql语句练习答案统一放在在文章底部employees表结构如下: 在 employees表中 使用别名 “First Name”, “Last Name” 展示 (first_name, last_name)字段。 查询结果如下: 在employees表中查询单列 ...
  • 测试使用的是mysql官方提供的测试数据,是在mysql官网进行下载的(不是mysql安装默认的employees数据库),...employees表的结构: 'emp_no', 'int(11)', 'NO', 'PRI', NULL, '' 'birth_date', 'date', 'NO', '', NU...
  • 开发工具与关键技术:Oracle sql*plus PLSQL Developer 作者:华境聪 撰写时间:2019年04月02日 create table 表名 (列名 数据类型,...查询表的字段及结构 create view 视图名 AS 子查询;创建视图 create or repla...

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