Hibernate学习之HQL查询

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本文介绍了Hibernate的HQL查询语言，包括查询条件设定、投影、分页、链接、分组等功能。通过实例展示了如何使用HQL进行数据库操作，如查询、投影、分页等，并提到了Oracle数据库的配置和远程访问问题。

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原文地址：https://github.com/mageSFC/myblog/blob/master/Hibernate%E5%AD%A6%E4%B9%A0%E4%B9%8BHQL%E6%9F%A5%E8%AF%A2.md

Hibernate学习之HQL查询
马哥私房菜博客地址：https://github.com/mageSFC/myblog

HQL(hibernate query language)是面向对象的查询语言，他和sql查询语言有些相似。
在hibernate提供的各种检索方式中，hql是使用最广泛的一种检索方式，它具有如下功能：
1.在查询语句中设定各种查询条件
2.支持投影查询，即仅检索出对象的部分属性
3.支持分页查询
4.支持链接查询
5.支持分组查询，允许使用having和group by关键字
6.提供内置聚集函数，如sum(),min(),max()
7.支持子查询
8.支持动态绑定参数
9.能够调用用户定义的sql函数或者标准的sql函数

下面的例子我们采用了oracle数据库

oracle数据库安装在了windows上面。

马哥私房菜博客地址：https://github.com/mageSFC/myblog

马哥私房菜博客地址：https://github.com/mageSFC/myblog
oracle远程访问开启：

解决方法：

查看端口状态：CMD -> netstat -a -n
显示的结果是：1521端口对应的本地地址栏为：127.0.0.0:1521,
此时，修改Oracle安装目录下dbhome_1\NETWORK\ADMIN\listener.ora文件（或是PLSQL下的对应文件instantclient_11_2\listener.ora）的HOST值，改为0.0.0.0。
重启Oracle监听服务；
再次通过netstat查看端口信息,显示：1521端口对应的本地地址栏为：0.0.0.0:1521
这时通过127.0.0.1或loaclhost或主机名或本机ip都可telnet通过。

在Windows系统下完成Oracle安装后，在其防火墙设置中开放1521端口（Oracle默认的侦听端口）。若客户端仍然无法访问，则需要作进一步的设置，即在注册表“HKEY_LOCAL_MACHINE” - “Software” - “ORACLE” - “HOME”下添加一个注册表项“USE_SHARED_SOCKED”，并将其值设为TRUE，然后重启Oracle服务及Listener服务。

马哥私房菜博客地址：https://github.com/mageSFC/myblog

总结：
Oracle Telnet 1521失败，要检查以下几点：
1、防火墙是否开启，若开启，是否有对1521端口开启；
2、listener.ora文件的HOST值。

注：10.2以上，USE_SHARDED_SOCKET就已经是默认值为TRUE了，无需再修改。

最后通过nmap命令可以看到1521端口是open的状态表明可以了

$ nmap 10.0.63.42                                                                                                                           

Starting Nmap 7.01 ( https://nmap.org ) at 2017-12-22 16:01 CST
Nmap scan report for 10.0.63.42
Host is up (0.88s latency).
Not shown: 987 closed ports
PORT      STATE SERVICE
1521/tcp  open  oracle
马哥私房菜博客地址：https://github.com/mageSFC/myblog 
马哥私房菜博客地址：https://github.com/mageSFC/myblog 
Nmap done: 1 IP address (1 host up) scanned in 5.13 seconds

添加oracle的jdbc驱动文件

把从官网下载的oracle的jdbc驱动jar包放到家目录下面执行下面命令：
$ mvn install:install-file -Dfile=ojdbc8.jar -DgroupId=com.oracle -DartifactId=ojdbc8 -Dversion=12 -Dpackaging=jar
[INFO] Scanning for projects...
[INFO]                                                                         
[INFO] ------------------------------------------------------------------------
[INFO] Building Maven Stub Project (No POM) 1
[INFO] ------------------------------------------------------------------------
[INFO] 
[INFO] --- maven-install-plugin:2.5.2:install-file (default-cli) @ standalone-pom ---
[INFO] pom.xml not found in ojdbc8.jar
[INFO] Installing /home/mamh/ojdbc8.jar to /home/mamh/.m2/repository/com/oracle/ojdbc8/12/ojdbc8-12.jar
[INFO] Installing /tmp/mvninstall5920371845117601504.pom to /home/mamh/.m2/repository/com/oracle/ojdbc8/12/ojdbc8-12.pom
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 0.332 s
[INFO] Finished at: 2017-12-22T15:54:02+08:00
[INFO] Final Memory: 8M/303M
[INFO] ------------------------------------------------------------------------




$ cat /home/mamh/.m2/repository/com/oracle/ojdbc8/12/ojdbc8-12.pom                                                                          
<?xml version="1.0" encoding="UTF-8"?>
<project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns="http://maven.apache.org/POM/4.0.0"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <modelVersion>4.0.0</modelVersion>
  <groupId>com.oracle</groupId>
  <artifactId>ojdbc8</artifactId>
  <version>12</version>
  <description>POM was created from install:install-file</description>
</project>

最后pom.xml中添加如下：
<dependency>
    <groupId>com.oracle</groupId>
    <artifactId>ojdbc8</artifactId>
    <version>12</version>
</dependency>


马哥私房菜博客地址：https://github.com/mageSFC/myblog

这里我们给出一个测试使用的数据库表，包含数据的
马哥私房菜博客地址：https://github.com/mageSFC/myblog

EMPLOYEE表格#	EMPLOYEE_ID	FIRST_NAME	LAST_NAME	EMAIL	PHONE_NUMBER	HIRE_DATE	JOB_ID	SALARY	COMMISSION_PCT	MANAGER_ID	DEPARTMENT_ID
1	100	Steven	King	SKING	515.123.4567	1987-06-17 00:00:00	AD_PRES	24000.00	NULL	NULL	90
2	101	Neena	Kochhar	NKOCHHAR	515.123.4568	1989-09-21 00:00:00	AD_VP	17000.00	NULL	100	90
3	102	Lex	De Haan	LDEHAAN	515.123.4569	1993-01-13 00:00:00	AD_VP	17000.00	NULL	100	90
4	103	Alexander	Hunold	AHUNOLD	590.423.4567	1990-01-03 00:00:00	IT_PROG	9000.00	NULL	102	60
5	104	Bruce	Ernst	BERNST	590.423.4568	1991-05-21 00:00:00	IT_PROG	6000.00	NULL	103	60
6	105	David	Austin	DAUSTIN	590.423.4569	1997-06-25 00:00:00	IT_PROG	4800.00	NULL	103	60
7	106	Valli	Pataballa	VPATABAL	590.423.4560	1998-02-05 00:00:00	IT_PROG	4800.00	NULL	103	60
8	107	Diana	Lorentz	DLORENTZ	590.423.5567	1999-02-07 00:00:00	IT_PROG	4200.00	NULL	103	60
9	108	Nancy	Greenberg	NGREENBE	515.124.4569	1994-08-17 00:00:00	FI_MGR	12000.00	NULL	101	100
10	109	Daniel	Faviet	DFAVIET	515.124.4169	1994-08-16 00:00:00	FI_ACCOUNT	9000.00	NULL	108	100
11	110	John	Chen	JCHEN	515.124.4269	1997-09-28 00:00:00	FI_ACCOUNT	8200.00	NULL	108	100
12	111	Ismael	Sciarra	ISCIARRA	515.124.4369	1997-09-30 00:00:00	FI_ACCOUNT	7700.00	NULL	108	100
13	112	Jose Manuel	Urman	JMURMAN	515.124.4469	1998-03-07 00:00:00	FI_ACCOUNT	7800.00	NULL	108	100
14	113	Luis	Popp	LPOPP	515.124.4567	1999-12-07 00:00:00	FI_ACCOUNT	6900.00	NULL	108	100
15	114	Den	Raphaely	DRAPHEAL	515.127.4561	1994-12-07 00:00:00	PU_MAN	11000.00	NULL	100	30
16	115	Alexander	Khoo	AKHOO	515.127.4562	1995-05-18 00:00:00	PU_CLERK	3100.00	NULL	114	30
17	116	Shelli	Baida	SBAIDA	515.127.4563	1997-12-24 00:00:00	PU_CLERK	2900.00	NULL	114	30
18	117	Sigal	Tobias	STOBIAS	515.127.4564	1997-07-24 00:00:00	PU_CLERK	2800.00	NULL	114	30
19	118	Guy	Himuro	GHIMURO	515.127.4565	1998-11-15 00:00:00	PU_CLERK	2600.00	NULL	114	30
20	119	Karen	Colmenares	KCOLMENA	515.127.4566	1999-08-10 00:00:00	PU_CLERK	2500.00	NULL	114	30
21	120	Matthew	Weiss	MWEISS	650.123.1234	1996-07-18 00:00:00	ST_MAN	8000.00	NULL	100	50
22	121	Adam	Fripp	AFRIPP	650.123.2234	1997-04-10 00:00:00	ST_MAN	8200.00	NULL	100	50
23	122	Payam	Kaufling	PKAUFLIN	650.123.3234	1995-05-01 00:00:00	ST_MAN	7900.00	NULL	100	50
24	123	Shanta	Vollman	SVOLLMAN	650.123.4234	1997-10-10 00:00:00	ST_MAN	6500.00	NULL	100	50
25	124	Kevin	Mourgos	KMOURGOS	650.123.5234	1999-11-16 00:00:00	ST_MAN	5800.00	NULL	100	50
26	125	Julia	Nayer	JNAYER	650.124.1214	1997-07-16 00:00:00	ST_CLERK	3200.00	NULL	120	50
27	126	Irene	Mikkilineni	IMIKKILI	650.124.1224	1998-09-28 00:00:00	ST_CLERK	2700.00	NULL	120	50
28	127	James	Landry	JLANDRY	650.124.1334	1999-01-14 00:00:00	ST_CLERK	2400.00	NULL	120	50
29	128	Steven	Markle	SMARKLE	650.124.1434	2000-03-08 00:00:00	ST_CLERK	2200.00	NULL	120	50
30	129	Laura	Bissot	LBISSOT	650.124.5234	1997-08-20 00:00:00	ST_CLERK	3300.00	NULL	121	50
31	130	Mozhe	Atkinson	MATKINSO	650.124.6234	1997-10-30 00:00:00	ST_CLERK	2800.00	NULL	121	50
32	131	James	Marlow	JAMRLOW	650.124.7234	1997-02-16 00:00:00	ST_CLERK	2500.00	NULL	121	50
33	132	TJ	Olson	TJOLSON	650.124.8234	1999-04-10 00:00:00	ST_CLERK	2100.00	NULL	121	50
34	133	Jason	Mallin	JMALLIN	650.127.1934	1996-06-14 00:00:00	ST_CLERK	3300.00	NULL	122	50
35	134	Michael	Rogers	MROGERS	650.127.1834	1998-08-26 00:00:00	ST_CLERK	2900.00	NULL	122	50
36	135	Ki	Gee	KGEE	650.127.1734	1999-12-12 00:00:00	ST_CLERK	2400.00	NULL	122	50
37	136	Hazel	Philtanker	HPHILTAN	650.127.1634	2000-02-06 00:00:00	ST_CLERK	2200.00	NULL	122	50
38	137	Renske	Ladwig	RLADWIG	650.121.1234	1995-07-14 00:00:00	ST_CLERK	3600.00	NULL	123	50
39	138	Stephen	Stiles	SSTILES	650.121.2034	1997-10-26 00:00:00	ST_CLERK	3200.00	NULL	123	50
40	139	John	Seo	JSEO	650.121.2019	1998-02-12 00:00:00	ST_CLERK	2700.00	NULL	123	50
41	140	Joshua	Patel	JPATEL	650.121.1834	1998-04-06 00:00:00	ST_CLERK	2500.00	NULL	123	50
42	141	Trenna	Rajs	TRAJS	650.121.8009	1995-10-17 00:00:00	ST_CLERK	3500.00	NULL	124	50
43	142	Curtis	Davies	CDAVIES	650.121.2994	1997-01-29 00:00:00	ST_CLERK	3100.00	NULL	124	50
44	143	Randall	Matos	RMATOS	650.121.2874	1998-03-15 00:00:00	ST_CLERK	2600.00	NULL	124	50
45	144	Peter	Vargas	PVARGAS	650.121.2004	1998-07-09 00:00:00	ST_CLERK	2500.00	NULL	124	50
46	145	John	Russell	JRUSSEL	011.44.1344.429268	1996-10-01 00:00:00	SA_MAN	14000.00	0.40	100	80
47	146	Karen	Partners	KPARTNER	011.44.1344.467268	1997-01-05 00:00:00	SA_MAN	13500.00	0.30	100	80
48	147	Alberto	Errazuriz	AERRAZUR	011.44.1344.429278	1997-03-10 00:00:00	SA_MAN	12000.00	0.30	100	80
49	148	Gerald	Cambrault	GCAMBRAU	011.44.1344.619268	1999-10-15 00:00:00	SA_MAN	11000.00	0.30	100	80
50	149	Eleni	Zlotkey	EZLOTKEY	011.44.1344.429018	2000-01-29 00:00:00	SA_MAN	10500.00	0.20	100	80
51	150	Peter	Tucker	PTUCKER	011.44.1344.129268	1997-01-30 00:00:00	SA_REP	10000.00	0.30	145	80
52	151	David	Bernstein	DBERNSTE	011.44.1344.345268	1997-03-24 00:00:00	SA_REP	9500.00	0.25	145	80
53	152	Peter	Hall	PHALL	011.44.1344.478968	1997-08-20 00:00:00	SA_REP	9000.00	0.25	145	80
54	153	Christopher	Olsen	COLSEN	011.44.1344.498718	1998-03-30 00:00:00	SA_REP	8000.00	0.20	145	80
55	154	Nanette	Cambrault	NCAMBRAU	011.44.1344.987668	1998-12-09 00:00:00	SA_REP	7500.00	0.20	145	80
56	155	Oliver	Tuvault	OTUVAULT	011.44.1344.486508	1999-11-23 00:00:00	SA_REP	7000.00	0.15	145	80
57	156	Janette	King	JKING	011.44.1345.429268	1996-01-30 00:00:00	SA_REP	10000.00	0.35	146	80
58	157	Patrick	Sully	PSULLY	011.44.1345.929268	1996-03-04 00:00:00	SA_REP	9500.00	0.35	146	80
59	158	Allan	McEwen	AMCEWEN	011.44.1345.829268	1996-08-01 00:00:00	SA_REP	9000.00	0.35	146	80
60	159	Lindsey	Smith	LSMITH	011.44.1345.729268	1997-03-10 00:00:00	SA_REP	8000.00	0.30	146	80
61	160	Louise	Doran	LDORAN	011.44.1345.629268	1997-12-15 00:00:00	SA_REP	7500.00	0.30	146	80
62	161	Sarath	Sewall	SSEWALL	011.44.1345.529268	1998-11-03 00:00:00	SA_REP	7000.00	0.25	146	80
63	162	Clara	Vishney	CVISHNEY	011.44.1346.129268	1997-11-11 00:00:00	SA_REP	10500.00	0.25	147	80
64	163	Danielle	Greene	DGREENE	011.44.1346.229268	1999-03-19 00:00:00	SA_REP	9500.00	0.15	147	80
65	164	Mattea	Marvins	MMARVINS	011.44.1346.329268	2000-01-24 00:00:00	SA_REP	7200.00	0.10	147	80
66	165	David	Lee	DLEE	011.44.1346.529268	2000-02-23 00:00:00	SA_REP	6800.00	0.10	147	80
67	166	Sundar	Ande	SANDE	011.44.1346.629268	2000-03-24 00:00:00	SA_REP	6400.00	0.10	147	80
68	167	Amit	Banda	ABANDA	011.44.1346.729268	2000-04-21 00:00:00	SA_REP	6200.00	0.10	147	80
69	168	Lisa	Ozer	LOZER	011.44.1343.929268	1997-03-11 00:00:00	SA_REP	11500.00	0.25	148	80
70	169	Harrison	Bloom	HBLOOM	011.44.1343.829268	1998-03-23 00:00:00	SA_REP	10000.00	0.20	148	80
71	170	Tayler	Fox	TFOX	011.44.1343.729268	1998-01-24 00:00:00	SA_REP	9600.00	0.20	148	80
72	171	William	Smith	WSMITH	011.44.1343.629268	1999-02-23 00:00:00	SA_REP	7400.00	0.15	148	80
73	172	Elizabeth	Bates	EBATES	011.44.1343.529268	1999-03-24 00:00:00	SA_REP	7300.00	0.15	148	80
74	173	Sundita	Kumar	SKUMAR	011.44.1343.329268	2000-04-21 00:00:00	SA_REP	6100.00	0.10	148	80
75	174	Ellen	Abel	EABEL	011.44.1644.429267	1996-05-11 00:00:00	SA_REP	11000.00	0.30	149	80
76	175	Alyssa	Hutton	AHUTTON	011.44.1644.429266	1997-03-19 00:00:00	SA_REP	8800.00	0.25	149	80
77	176	Jonathon	Taylor	JTAYLOR	011.44.1644.429265	1998-03-24 00:00:00	SA_REP	8600.00	0.20	149	80
78	177	Jack	Livingston	JLIVINGS	011.44.1644.429264	1998-04-23 00:00:00	SA_REP	8400.00	0.20	149	80
79	178	Kimberely	Grant	KGRANT	011.44.1644.429263	1999-05-24 00:00:00	SA_REP	7000.00	0.15	149	NULL
80	179	Charles	Johnson	CJOHNSON	011.44.1644.429262	2000-01-04 00:00:00	SA_REP	6200.00	0.10	149	80
81	180	Winston	Taylor	WTAYLOR	650.507.9876	1998-01-24 00:00:00	SH_CLERK	3200.00	NULL	120	50
82	181	Jean	Fleaur	JFLEAUR	650.507.9877	1998-02-23 00:00:00	SH_CLERK	3100.00	NULL	120	50
83	182	Martha	Sullivan	MSULLIVA	650.507.9878	1999-06-21 00:00:00	SH_CLERK	2500.00	NULL	120	50
84	183	Girard	Geoni	GGEONI	650.507.9879	2000-02-03 00:00:00	SH_CLERK	2800.00	NULL	120	50
85	184	Nandita	Sarchand	NSARCHAN	650.509.1876	1996-01-27 00:00:00	SH_CLERK	4200.00	NULL	121	50
86	185	Alexis	Bull	ABULL	650.509.2876	1997-02-20 00:00:00	SH_CLERK	4100.00	NULL	121	50
87	186	Julia	Dellinger	JDELLING	650.509.3876	1998-06-24 00:00:00	SH_CLERK	3400.00	NULL	121	50
88	187	Anthony	Cabrio	ACABRIO	650.509.4876	1999-02-07 00:00:00	SH_CLERK	3000.00	NULL	121	50
89	188	Kelly	Chung	KCHUNG	650.505.1876	1997-06-14 00:00:00	SH_CLERK	3800.00	NULL	122	50
90	189	Jennifer	Dilly	JDILLY	650.505.2876	1997-08-13 00:00:00	SH_CLERK	3600.00	NULL	122	50
91	190	Timothy	Gates	TGATES	650.505.3876	1998-07-11 00:00:00	SH_CLERK	2900.00	NULL	122	50
92	191	Randall	Perkins	RPERKINS	650.505.4876	1999-12-19 00:00:00	SH_CLERK	2500.00	NULL	122	50
93	192	Sarah	Bell	SBELL	650.501.1876	1996-02-04 00:00:00	SH_CLERK	4000.00	NULL	123	50
94	193	Britney	Everett	BEVERETT	650.501.2876	1997-03-03 00:00:00	SH_CLERK	3900.00	NULL	123	50
95	194	Samuel	McCain	SMCCAIN	650.501.3876	1998-07-01 00:00:00	SH_CLERK	3200.00	NULL	123	50
96	195	Vance	Jones	VJONES	650.501.4876	1999-03-17 00:00:00	SH_CLERK	2800.00	NULL	123	50
97	196	Alana	Walsh	AWALSH	650.507.9811	1998-04-24 00:00:00	SH_CLERK	3100.00	NULL	124	50
98	197	Kevin	Feeney	KFEENEY	650.507.9822	1998-05-23 00:00:00	SH_CLERK	3000.00	NULL	124	50
99	198	Donald	OConnell	DOCONNEL	650.507.9833	1999-06-21 00:00:00	SH_CLERK	2600.00	NULL	124	50
100	199	Douglas	Grant	DGRANT	650.507.9844	2000-01-13 00:00:00	SH_CLERK	2600.00	NULL	124	50
101	200	Jennifer	Whalen	JWHALEN	515.123.4444	1987-09-17 00:00:00	AD_ASST	4400.00	NULL	101	10
102	201	Michael	Hartstein	MHARTSTE	515.123.5555	1996-02-17 00:00:00	MK_MAN	13000.00	NULL	100	20
103	202	Pat	Fay	PFAY	603.123.6666	1997-08-17 00:00:00	MK_REP	6000.00	NULL	201	20
104	203	Susan	Mavris	SMAVRIS	515.123.7777	1994-06-07 00:00:00	HR_REP	6500.00	NULL	101	40
105	204	Hermann	Baer	HBAER	515.123.8888	1994-06-07 00:00:00	PR_REP	10000.00	NULL	101	70
106	205	Shelley	Higgins	SHIGGINS	515.123.8080	1994-06-07 00:00:00	AC_MGR	12000.00	NULL	101	110
107	206	William	Gietz	WGIETZ	515.123.8181	1994-06-07 00:00:00	AC_ACCOUNT	8300.00	NULL	205	110

马哥私房菜博客地址：https://github.com/mageSFC/myblog

DEPARTMENT表格	DEPARTMENT_ID	DEPARTMENT_NAME	MANAGER_ID	LOCATION_ID
1	10	Administration	200	1700
2	20	Marketing	201	1800
3	30	Purchasing	114	1700
4	40	Human Resources	203	2400
5	50	Shipping	121	1500
6	60	IT	103	1400
7	70	Public Relations	204	2700
8	80	Sales	145	2500
9	90	Executive	100	1700
10	100	Finance	108	1700
11	110	Accounting	205	1700
12	120	Treasury	NULL	1700
13	130	Corporate Tax	NULL	1700
14	140	Control And Credit	NULL	1700
15	150	Shareholder Services	NULL	1700
16	160	Benefits	NULL	1700
17	170	Manufacturing	NULL	1700
18	180	Construction	NULL	1700
19	190	Contracting	NULL	1700
20	200	Operations	NULL	1700
21	210	IT Support	NULL	1700
22	220	NOC	NULL	1700
23	230	IT Helpdesk	NULL	1700
24	240	Government Sales	NULL	1700
25	250	Retail Sales	NULL	1700
26	260	Recruiting	NULL	1700
27	270	Payroll	NULL	1700

马哥私房菜博客地址：https://github.com/mageSFC/myblog


SET VERIFY OFF
ALTER SESSION SET NLS_LANGUAGE=American; 

REM ***************************insert data into the REGIONS table

Prompt ******  Populating REGIONS table ....

INSERT INTO regions VALUES 
        ( 1
        , 'Europe' 
        );

INSERT INTO regions VALUES 
        ( 2
        , 'Americas' 
        );

INSERT INTO regions VALUES 
        ( 3
        , 'Asia' 
        );

INSERT INTO regions VALUES 
        ( 4
        , 'Middle East and Africa' 
        );

REM ***************************insert data into the COUNTRIES table

Prompt ******  Populating COUNTIRES table ....

INSERT INTO countries VALUES 
        ( 'IT'
        , 'Italy'
        , 1 
        );

INSERT INTO countries VALUES 
        ( 'JP'
        , 'Japan'
    , 3 
        );

INSERT INTO countries VALUES 
        ( 'US'
        , 'United States of America'
        , 2 
        );

INSERT INTO countries VALUES 
        ( 'CA'
        , 'Canada'
        , 2 
        );

INSERT INTO countries VALUES 
        ( 'CN'
        , 'China'
        , 3 
        );

INSERT INTO countries VALUES 
        ( 'IN'
        , 'India'
        , 3 
        );

INSERT INTO countries VALUES 
        ( 'AU'
        , 'Australia'
        , 3 
        );

INSERT INTO countries VALUES 
        ( 'ZW'
        , 'Zimbabwe'
        , 4 
        );

INSERT INTO countries VALUES 
        ( 'SG'
        , 'Singapore'
        , 3 
        );

INSERT INTO countries VALUES 
        ( 'UK'
        , 'United Kingdom'
        , 1 
        );

INSERT INTO countries VALUES 
        ( 'FR'
        , 'France'
        , 1 
        );

INSERT INTO countries VALUES 
        ( 'DE'
        , 'Germany'
        , 1 
        );

INSERT INTO countries VALUES 
        ( 'ZM'
        , 'Zambia'
        , 4 
        );

INSERT INTO countries VALUES 
        ( 'EG'
        , 'Egypt'
        , 4 
        );

INSERT INTO countries VALUES 
        ( 'BR'
        , 'Brazil'
        , 2 
        );

INSERT INTO countries VALUES 
        ( 'CH'
        , 'Switzerland'
        , 1 
        );

INSERT INTO countries VALUES 
        ( 'NL'
        , 'Netherlands'
        , 1 
        );

INSERT INTO countries VALUES 
        ( 'MX'
        , 'Mexico'
        , 2 
        );

INSERT INTO countries VALUES 
        ( 'KW'
        , 'Kuwait'
        , 4 
        );

INSERT INTO countries VALUES 
        ( 'IL'
        , 'Israel'
        , 4 
        );

INSERT INTO countries VALUES 
        ( 'DK'
        , 'Denmark'
        , 1 
        );

INSERT INTO countries VALUES 
        ( 'HK'
        , 'HongKong'
        , 3 
        );

INSERT INTO countries VALUES 
        ( 'NG'
        , 'Nigeria'
        , 4 
        );

INSERT INTO countries VALUES 
        ( 'AR'
        , 'Argentina'
        , 2 
        );

INSERT INTO countries VALUES 
        ( 'BE'
        , 'Belgium'
        , 1 
        );


REM ***************************insert data into the LOCATIONS table

Prompt ******  Populating LOCATIONS table ....

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'
        );


REM ****************************insert data into the DEPARTMENTS table

Prompt ******  Populating DEPARTMENTS table ....

REM disable integrity constraint to EMPLOYEES to load data

ALTER TABLE departments 
  DISABLE CONSTRAINT dept_mgr_fk;

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
        );


REM ***************************insert data into the JOBS table

Prompt ******  Populating JOBS table ....

INSERT INTO jobs VALUES 
        ( 'AD_PRES'
        , 'President'
        , 20000
        , 40000
        );
INSERT INTO jobs VALUES 
        ( 'AD_VP'
        , 'Administration Vice President'
        , 15000
        , 30000
        );

INSERT INTO jobs VALUES 
        ( 'AD_ASST'
        , 'Administration Assistant'
        , 3000
        , 6000
        );

INSERT INTO jobs VALUES 
        ( 'FI_MGR'
        , 'Finance Manager'
        , 8200
        , 16000
        );

INSERT INTO jobs VALUES 
        ( 'FI_ACCOUNT'
        , 'Accountant'
        , 4200
        , 9000
        );

INSERT INTO jobs VALUES 
        ( 'AC_MGR'
        , 'Accounting Manager'
        , 8200
        , 16000
        );

INSERT INTO jobs VALUES 
        ( 'AC_ACCOUNT'
        , 'Public Accountant'
        , 4200
        , 9000
        );
INSERT INTO jobs VALUES 
        ( 'SA_MAN'
        , 'Sales Manager'
        , 10000
        , 20000
        );

INSERT INTO jobs VALUES 
        ( 'SA_REP'
        , 'Sales Representative'
        , 6000
        , 12000
        );

INSERT INTO jobs VALUES 
        ( 'PU_MAN'
        , 'Purchasing Manager'
        , 8000
        , 15000
        );

INSERT INTO jobs VALUES 
        ( 'PU_CLERK'
        , 'Purchasing Clerk'
        , 2500
        , 5500
        );

INSERT INTO jobs VALUES 
        ( 'ST_MAN'
        , 'Stock Manager'
        , 5500
        , 8500
        );
INSERT INTO jobs VALUES 
        ( 'ST_CLERK'
        , 'Stock Clerk'
        , 2000
        , 5000
        );

INSERT INTO jobs VALUES 
        ( 'SH_CLERK'
        , 'Shipping Clerk'
        , 2500
        , 5500
        );

INSERT INTO jobs VALUES 
        ( 'IT_PROG'
        , 'Programmer'
        , 4000
        , 10000
        );

INSERT INTO jobs VALUES 
        ( 'MK_MAN'
        , 'Marketing Manager'
        , 9000
        , 15000
        );

INSERT INTO jobs VALUES 
        ( 'MK_REP'
        , 'Marketing Representative'
        , 4000
        , 9000
        );

INSERT INTO jobs VALUES 
        ( 'HR_REP'
        , 'Human Resources Representative'
        , 4000
        , 9000
        );

INSERT INTO jobs VALUES 
        ( 'PR_REP'
        , 'Public Relations Representative'
        , 4500
        , 10500
        );


REM ***************************insert data into the EMPLOYEES table

Prompt ******  Populating EMPLOYEES table ....

INSERT INTO employees VALUES 
        ( 100
        , 'Steven'
        , 'King'
        , 'SKING'
        , '515.123.4567'
        , TO_DATE('17-JUN-1987', 'dd-MON-yyyy')
        , 'AD_PRES'
        , 24000
        , NULL
        , NULL
        , 90
        );

INSERT INTO employees VALUES 
        ( 101
        , 'Neena'
        , 'Kochhar'
        , 'NKOCHHAR'
        , '515.123.4568'
        , TO_DATE('21-SEP-1989', 'dd-MON-yyyy')
        , 'AD_VP'
        , 17000
        , NULL
        , 100
        , 90
        );

INSERT INTO employees VALUES 
        ( 102
        , 'Lex'
        , 'De Haan'
        , 'LDEHAAN'
        , '515.123.4569'
        , TO_DATE('13-JAN-1993', 'dd-MON-yyyy')
        , 'AD_VP'
        , 17000
        , NULL
        , 100
        , 90
        );

INSERT INTO employees VALUES 
        ( 103
        , 'Alexander'
        , 'Hunold'
        , 'AHUNOLD'
        , '590.423.4567'
        , TO_DATE('03-JAN-1990', 'dd-MON-yyyy')
        , 'IT_PROG'
        , 9000
        , NULL
        , 102
        , 60
        );

INSERT INTO employees VALUES 
        ( 104
        , 'Bruce'
        , 'Ernst'
        , 'BERNST'
        , '590.423.4568'
        , TO_DATE('21-MAY-1991', 'dd-MON-yyyy')
        , 'IT_PROG'
        , 6000
        , NULL
        , 103
        , 60
        );

INSERT INTO employees VALUES 
        ( 105
        , 'David'
        , 'Austin'
        , 'DAUSTIN'
        , '590.423.4569'
        , TO_DATE('25-JUN-1997', 'dd-MON-yyyy')
        , 'IT_PROG'
        , 4800
        , NULL
        , 103
        , 60
        );

INSERT INTO employees VALUES 
        ( 106
        , 'Valli'
        , 'Pataballa'
        , 'VPATABAL'
        , '590.423.4560'
        , TO_DATE('05-FEB-1998', 'dd-MON-yyyy')
        , 'IT_PROG'
        , 4800
        , NULL
        , 103
        , 60
        );

INSERT INTO employees VALUES 
        ( 107
        , 'Diana'
        , 'Lorentz'
        , 'DLORENTZ'
        , '590.423.5567'
        , TO_DATE('07-FEB-1999', 'dd-MON-yyyy')
        , 'IT_PROG'
        , 4200
        , NULL
        , 103
        , 60
        );

INSERT INTO employees VALUES 
        ( 108
        , 'Nancy'
        , 'Greenberg'
        , 'NGREENBE'
        , '515.124.4569'
        , TO_DATE('17-AUG-1994', 'dd-MON-yyyy')
        , 'FI_MGR'
        , 12000
        , NULL
        , 101
        , 100
        );

INSERT INTO employees VALUES 
        ( 109
        , 'Daniel'
        , 'Faviet'
        , 'DFAVIET'
        , '515.124.4169'
        , TO_DATE('16-AUG-1994', 'dd-MON-yyyy')
        , 'FI_ACCOUNT'
        , 9000
        , NULL
        , 108
        , 100
        );

INSERT INTO employees VALUES 
        ( 110
        , 'John'
        , 'Chen'
        , 'JCHEN'
        , '515.124.4269'
        , TO_DATE('28-SEP-1997', 'dd-MON-yyyy')
        , 'FI_ACCOUNT'
        , 8200
        , NULL
        , 108
        , 100
        );

INSERT INTO employees VALUES 
        ( 111
        , 'Ismael'
        , 'Sciarra'
        , 'ISCIARRA'
        , '515.124.4369'
        , TO_DATE('30-SEP-1997', 'dd-MON-yyyy')
        , 'FI_ACCOUNT'
        , 7700
        , NULL
        , 108
        , 100
        );

INSERT INTO employees VALUES 
        ( 112
        , 'Jose Manuel'
        , 'Urman'
        , 'JMURMAN'
        , '515.124.4469'
        , TO_DATE('07-MAR-1998', 'dd-MON-yyyy')
        , 'FI_ACCOUNT'
        , 7800
        , NULL
        , 108
        , 100
        );

INSERT INTO employees VALUES 
        ( 113
        , 'Luis'
        , 'Popp'
        , 'LPOPP'
        , '515.124.4567'
        , TO_DATE('07-DEC-1999', 'dd-MON-yyyy')
        , 'FI_ACCOUNT'
        , 6900
        , NULL
        , 108
        , 100
        );

INSERT INTO employees VALUES 
        ( 114
        , 'Den'
        , 'Raphaely'
        , 'DRAPHEAL'
        , '515.127.4561'
        , TO_DATE('07-DEC-1994', 'dd-MON-yyyy')
        , 'PU_MAN'
        , 11000
        , NULL
        , 100
        , 30
        );

INSERT INTO employees VALUES 
        ( 115
        , 'Alexander'
        , 'Khoo'
        , 'AKHOO'
        , '515.127.4562'
        , TO_DATE('18-MAY-1995', 'dd-MON-yyyy')
        , 'PU_CLERK'
        , 3100
        , NULL
        , 114
        , 30
        );

INSERT INTO employees VALUES 
        ( 116
        , 'Shelli'
        , 'Baida'
        , 'SBAIDA'
        , '515.127.4563'
        , TO_DATE('24-DEC-1997', 'dd-MON-yyyy')
        , 'PU_CLERK'
        , 2900
        , NULL
        , 114
        , 30
        );

INSERT INTO employees VALUES 
        ( 117
        , 'Sigal'
        , 'Tobias'
        , 'STOBIAS'
        , '515.127.4564'
        , TO_DATE('24-JUL-1997', 'dd-MON-yyyy')
        , 'PU_CLERK'
        , 2800
        , NULL
        , 114
        , 30
        );

INSERT INTO employees VALUES 
        ( 118
        , 'Guy'
        , 'Himuro'
        , 'GHIMURO'
        , '515.127.4565'
        , TO_DATE('15-NOV-1998', 'dd-MON-yyyy')
        , 'PU_CLERK'
        , 2600
        , NULL
        , 114
        , 30
        );

INSERT INTO employees VALUES 
        ( 119
        , 'Karen'
        , 'Colmenares'
        , 'KCOLMENA'
        , '515.127.4566'
        , TO_DATE('10-AUG-1999', 'dd-MON-yyyy')
        , 'PU_CLERK'
        , 2500
        , NULL
        , 114
        , 30
        );

INSERT INTO employees VALUES 
        ( 120
        , 'Matthew'
        , 'Weiss'
        , 'MWEISS'
        , '650.123.1234'
        , TO_DATE('18-JUL-1996', 'dd-MON-yyyy')
        , 'ST_MAN'
        , 8000
        , NULL
        , 100
        , 50
        );

INSERT INTO employees VALUES 
        ( 121
        , 'Adam'
        , 'Fripp'
        , 'AFRIPP'
        , '650.123.2234'
        , TO_DATE('10-APR-1997', 'dd-MON-yyyy')
        , 'ST_MAN'
        , 8200
        , NULL
        , 100
        , 50
        );

INSERT INTO employees VALUES 
        ( 122
        , 'Payam'
        , 'Kaufling'
        , 'PKAUFLIN'
        , '650.123.3234'
        , TO_DATE('01-MAY-1995', 'dd-MON-yyyy')
        , 'ST_MAN'
        , 7900
        , NULL
        , 100
        , 50
        );

INSERT INTO employees VALUES 
        ( 123
        , 'Shanta'
        , 'Vollman'
        , 'SVOLLMAN'
        , '650.123.4234'
        , TO_DATE('10-OCT-1997', 'dd-MON-yyyy')
        , 'ST_MAN'
        , 6500
        , NULL
        , 100
        , 50
        );

INSERT INTO employees VALUES 
        ( 124
        , 'Kevin'
        , 'Mourgos'
        , 'KMOURGOS'
        , '650.123.5234'
        , TO_DATE('16-NOV-1999', 'dd-MON-yyyy')
        , 'ST_MAN'
        , 5800
        , NULL
        , 100
        , 50
        );

INSERT INTO employees VALUES 
        ( 125
        , 'Julia'
        , 'Nayer'
        , 'JNAYER'
        , '650.124.1214'
        , TO_DATE('16-JUL-1997', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 3200
        , NULL
        , 120
        , 50
        );

INSERT INTO employees VALUES 
        ( 126
        , 'Irene'
        , 'Mikkilineni'
        , 'IMIKKILI'
        , '650.124.1224'
        , TO_DATE('28-SEP-1998', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2700
        , NULL
        , 120
        , 50
        );

INSERT INTO employees VALUES 
        ( 127
        , 'James'
        , 'Landry'
        , 'JLANDRY'
        , '650.124.1334'
        , TO_DATE('14-JAN-1999', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2400
        , NULL
        , 120
        , 50
        );

INSERT INTO employees VALUES 
        ( 128
        , 'Steven'
        , 'Markle'
        , 'SMARKLE'
        , '650.124.1434'
        , TO_DATE('08-MAR-2000', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2200
        , NULL
        , 120
        , 50
        );

INSERT INTO employees VALUES 
        ( 129
        , 'Laura'
        , 'Bissot'
        , 'LBISSOT'
        , '650.124.5234'
        , TO_DATE('20-AUG-1997', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 3300
        , NULL
        , 121
        , 50
        );

INSERT INTO employees VALUES 
        ( 130
        , 'Mozhe'
        , 'Atkinson'
        , 'MATKINSO'
        , '650.124.6234'
        , TO_DATE('30-OCT-1997', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2800
        , NULL
        , 121
        , 50
        );

INSERT INTO employees VALUES 
        ( 131
        , 'James'
        , 'Marlow'
        , 'JAMRLOW'
        , '650.124.7234'
        , TO_DATE('16-FEB-1997', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2500
        , NULL
        , 121
        , 50
        );

INSERT INTO employees VALUES 
        ( 132
        , 'TJ'
        , 'Olson'
        , 'TJOLSON'
        , '650.124.8234'
        , TO_DATE('10-APR-1999', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2100
        , NULL
        , 121
        , 50
        );

INSERT INTO employees VALUES 
        ( 133
        , 'Jason'
        , 'Mallin'
        , 'JMALLIN'
        , '650.127.1934'
        , TO_DATE('14-JUN-1996', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 3300
        , NULL
        , 122
        , 50
        );

INSERT INTO employees VALUES 
        ( 134
        , 'Michael'
        , 'Rogers'
        , 'MROGERS'
        , '650.127.1834'
        , TO_DATE('26-AUG-1998', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2900
        , NULL
        , 122
        , 50
        );

INSERT INTO employees VALUES 
        ( 135
        , 'Ki'
        , 'Gee'
        , 'KGEE'
        , '650.127.1734'
        , TO_DATE('12-DEC-1999', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2400
        , NULL
        , 122
        , 50
        );

INSERT INTO employees VALUES 
        ( 136
        , 'Hazel'
        , 'Philtanker'
        , 'HPHILTAN'
        , '650.127.1634'
        , TO_DATE('06-FEB-2000', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2200
        , NULL
        , 122
        , 50
        );

INSERT INTO employees VALUES 
        ( 137
        , 'Renske'
        , 'Ladwig'
        , 'RLADWIG'
        , '650.121.1234'
        , TO_DATE('14-JUL-1995', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 3600
        , NULL
        , 123
        , 50
        );

INSERT INTO employees VALUES 
        ( 138
        , 'Stephen'
        , 'Stiles'
        , 'SSTILES'
        , '650.121.2034'
        , TO_DATE('26-OCT-1997', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 3200
        , NULL
        , 123
        , 50
        );

INSERT INTO employees VALUES 
        ( 139
        , 'John'
        , 'Seo'
        , 'JSEO'
        , '650.121.2019'
        , TO_DATE('12-FEB-1998', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2700
        , NULL
        , 123
        , 50
        );

INSERT INTO employees VALUES 
        ( 140
        , 'Joshua'
        , 'Patel'
        , 'JPATEL'
        , '650.121.1834'
        , TO_DATE('06-APR-1998', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2500
        , NULL
        , 123
        , 50
        );

INSERT INTO employees VALUES 
        ( 141
        , 'Trenna'
        , 'Rajs'
        , 'TRAJS'
        , '650.121.8009'
        , TO_DATE('17-OCT-1995', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 3500
        , NULL
        , 124
        , 50
        );

INSERT INTO employees VALUES 
        ( 142
        , 'Curtis'
        , 'Davies'
        , 'CDAVIES'
        , '650.121.2994'
        , TO_DATE('29-JAN-1997', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 3100
        , NULL
        , 124
        , 50
        );

INSERT INTO employees VALUES 
        ( 143
        , 'Randall'
        , 'Matos'
        , 'RMATOS'
        , '650.121.2874'
        , TO_DATE('15-MAR-1998', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2600
        , NULL
        , 124
        , 50
        );

INSERT INTO employees VALUES 
        ( 144
        , 'Peter'
        , 'Vargas'
        , 'PVARGAS'
        , '650.121.2004'
        , TO_DATE('09-JUL-1998', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 2500
        , NULL
        , 124
        , 50
        );

INSERT INTO employees VALUES 
        ( 145
        , 'John'
        , 'Russell'
        , 'JRUSSEL'
        , '011.44.1344.429268'
        , TO_DATE('01-OCT-1996', 'dd-MON-yyyy')
        , 'SA_MAN'
        , 14000
        , .4
        , 100
        , 80
        );

INSERT INTO employees VALUES 
        ( 146
        , 'Karen'
        , 'Partners'
        , 'KPARTNER'
        , '011.44.1344.467268'
        , TO_DATE('05-JAN-1997', 'dd-MON-yyyy')
        , 'SA_MAN'
        , 13500
        , .3
        , 100
        , 80
        );

INSERT INTO employees VALUES 
        ( 147
        , 'Alberto'
        , 'Errazuriz'
        , 'AERRAZUR'
        , '011.44.1344.429278'
        , TO_DATE('10-MAR-1997', 'dd-MON-yyyy')
        , 'SA_MAN'
        , 12000
        , .3
        , 100
        , 80
        );

INSERT INTO employees VALUES 
        ( 148
        , 'Gerald'
        , 'Cambrault'
        , 'GCAMBRAU'
        , '011.44.1344.619268'
        , TO_DATE('15-OCT-1999', 'dd-MON-yyyy')
        , 'SA_MAN'
        , 11000
        , .3
        , 100
        , 80
        );

INSERT INTO employees VALUES 
        ( 149
        , 'Eleni'
        , 'Zlotkey'
        , 'EZLOTKEY'
        , '011.44.1344.429018'
        , TO_DATE('29-JAN-2000', 'dd-MON-yyyy')
        , 'SA_MAN'
        , 10500
        , .2
        , 100
        , 80
        );

INSERT INTO employees VALUES 
        ( 150
        , 'Peter'
        , 'Tucker'
        , 'PTUCKER'
        , '011.44.1344.129268'
        , TO_DATE('30-JAN-1997', 'dd-MON-yyyy')
        , 'SA_REP'
        , 10000
        , .3
        , 145
        , 80
        );

INSERT INTO employees VALUES 
        ( 151
        , 'David'
        , 'Bernstein'
        , 'DBERNSTE'
        , '011.44.1344.345268'
        , TO_DATE('24-MAR-1997', 'dd-MON-yyyy')
        , 'SA_REP'
        , 9500
        , .25
        , 145
        , 80
        );

INSERT INTO employees VALUES 
        ( 152
        , 'Peter'
        , 'Hall'
        , 'PHALL'
        , '011.44.1344.478968'
        , TO_DATE('20-AUG-1997', 'dd-MON-yyyy')
        , 'SA_REP'
        , 9000
        , .25
        , 145
        , 80
        );

INSERT INTO employees VALUES 
        ( 153
        , 'Christopher'
        , 'Olsen'
        , 'COLSEN'
        , '011.44.1344.498718'
        , TO_DATE('30-MAR-1998', 'dd-MON-yyyy')
        , 'SA_REP'
        , 8000
        , .2
        , 145
        , 80
        );

INSERT INTO employees VALUES 
        ( 154
        , 'Nanette'
        , 'Cambrault'
        , 'NCAMBRAU'
        , '011.44.1344.987668'
        , TO_DATE('09-DEC-1998', 'dd-MON-yyyy')
        , 'SA_REP'
        , 7500
        , .2
        , 145
        , 80
        );

INSERT INTO employees VALUES 
        ( 155
        , 'Oliver'
        , 'Tuvault'
        , 'OTUVAULT'
        , '011.44.1344.486508'
        , TO_DATE('23-NOV-1999', 'dd-MON-yyyy')
        , 'SA_REP'
        , 7000
        , .15
        , 145
        , 80
        );

INSERT INTO employees VALUES 
        ( 156
        , 'Janette'
        , 'King'
        , 'JKING'
        , '011.44.1345.429268'
        , TO_DATE('30-JAN-1996', 'dd-MON-yyyy')
        , 'SA_REP'
        , 10000
        , .35
        , 146
        , 80
        );

INSERT INTO employees VALUES 
        ( 157
        , 'Patrick'
        , 'Sully'
        , 'PSULLY'
        , '011.44.1345.929268'
        , TO_DATE('04-MAR-1996', 'dd-MON-yyyy')
        , 'SA_REP'
        , 9500
        , .35
        , 146
        , 80
        );

INSERT INTO employees VALUES 
        ( 158
        , 'Allan'
        , 'McEwen'
        , 'AMCEWEN'
        , '011.44.1345.829268'
        , TO_DATE('01-AUG-1996', 'dd-MON-yyyy')
        , 'SA_REP'
        , 9000
        , .35
        , 146
        , 80
        );

INSERT INTO employees VALUES 
        ( 159
        , 'Lindsey'
        , 'Smith'
        , 'LSMITH'
        , '011.44.1345.729268'
        , TO_DATE('10-MAR-1997', 'dd-MON-yyyy')
        , 'SA_REP'
        , 8000
        , .3
        , 146
        , 80
        );

INSERT INTO employees VALUES 
        ( 160
        , 'Louise'
        , 'Doran'
        , 'LDORAN'
        , '011.44.1345.629268'
        , TO_DATE('15-DEC-1997', 'dd-MON-yyyy')
        , 'SA_REP'
        , 7500
        , .3
        , 146
        , 80
        );

INSERT INTO employees VALUES 
        ( 161
        , 'Sarath'
        , 'Sewall'
        , 'SSEWALL'
        , '011.44.1345.529268'
        , TO_DATE('03-NOV-1998', 'dd-MON-yyyy')
        , 'SA_REP'
        , 7000
        , .25
        , 146
        , 80
        );

INSERT INTO employees VALUES 
        ( 162
        , 'Clara'
        , 'Vishney'
        , 'CVISHNEY'
        , '011.44.1346.129268'
        , TO_DATE('11-NOV-1997', 'dd-MON-yyyy')
        , 'SA_REP'
        , 10500
        , .25
        , 147
        , 80
        );

INSERT INTO employees VALUES 
        ( 163
        , 'Danielle'
        , 'Greene'
        , 'DGREENE'
        , '011.44.1346.229268'
        , TO_DATE('19-MAR-1999', 'dd-MON-yyyy')
        , 'SA_REP'
        , 9500
        , .15
        , 147
        , 80
        );

INSERT INTO employees VALUES 
        ( 164
        , 'Mattea'
        , 'Marvins'
        , 'MMARVINS'
        , '011.44.1346.329268'
        , TO_DATE('24-JAN-2000', 'dd-MON-yyyy')
        , 'SA_REP'
        , 7200
        , .10
        , 147
        , 80
        );

INSERT INTO employees VALUES 
        ( 165
        , 'David'
        , 'Lee'
        , 'DLEE'
        , '011.44.1346.529268'
        , TO_DATE('23-FEB-2000', 'dd-MON-yyyy')
        , 'SA_REP'
        , 6800
        , .1
        , 147
        , 80
        );

INSERT INTO employees VALUES 
        ( 166
        , 'Sundar'
        , 'Ande'
        , 'SANDE'
        , '011.44.1346.629268'
        , TO_DATE('24-MAR-2000', 'dd-MON-yyyy')
        , 'SA_REP'
        , 6400
        , .10
        , 147
        , 80
        );

INSERT INTO employees VALUES 
        ( 167
        , 'Amit'
        , 'Banda'
        , 'ABANDA'
        , '011.44.1346.729268'
        , TO_DATE('21-APR-2000', 'dd-MON-yyyy')
        , 'SA_REP'
        , 6200
        , .10
        , 147
        , 80
        );

INSERT INTO employees VALUES 
        ( 168
        , 'Lisa'
        , 'Ozer'
        , 'LOZER'
        , '011.44.1343.929268'
        , TO_DATE('11-MAR-1997', 'dd-MON-yyyy')
        , 'SA_REP'
        , 11500
        , .25
        , 148
        , 80
        );

INSERT INTO employees VALUES 
        ( 169  
        , 'Harrison'
        , 'Bloom'
        , 'HBLOOM'
        , '011.44.1343.829268'
        , TO_DATE('23-MAR-1998', 'dd-MON-yyyy')
        , 'SA_REP'
        , 10000
        , .20
        , 148
        , 80
        );

INSERT INTO employees VALUES 
        ( 170
        , 'Tayler'
        , 'Fox'
        , 'TFOX'
        , '011.44.1343.729268'
        , TO_DATE('24-JAN-1998', 'dd-MON-yyyy')
        , 'SA_REP'
        , 9600
        , .20
        , 148
        , 80
        );

INSERT INTO employees VALUES 
        ( 171
        , 'William'
        , 'Smith'
        , 'WSMITH'
        , '011.44.1343.629268'
        , TO_DATE('23-FEB-1999', 'dd-MON-yyyy')
        , 'SA_REP'
        , 7400
        , .15
        , 148
        , 80
        );

INSERT INTO employees VALUES 
        ( 172
        , 'Elizabeth'
        , 'Bates'
        , 'EBATES'
        , '011.44.1343.529268'
        , TO_DATE('24-MAR-1999', 'dd-MON-yyyy')
        , 'SA_REP'
        , 7300
        , .15
        , 148
        , 80
        );

INSERT INTO employees VALUES 
        ( 173
        , 'Sundita'
        , 'Kumar'
        , 'SKUMAR'
        , '011.44.1343.329268'
        , TO_DATE('21-APR-2000', 'dd-MON-yyyy')
        , 'SA_REP'
        , 6100
        , .10
        , 148
        , 80
        );

INSERT INTO employees VALUES 
        ( 174
        , 'Ellen'
        , 'Abel'
        , 'EABEL'
        , '011.44.1644.429267'
        , TO_DATE('11-MAY-1996', 'dd-MON-yyyy')
        , 'SA_REP'
        , 11000
        , .30
        , 149
        , 80
        );

INSERT INTO employees VALUES 
        ( 175
        , 'Alyssa'
        , 'Hutton'
        , 'AHUTTON'
        , '011.44.1644.429266'
        , TO_DATE('19-MAR-1997', 'dd-MON-yyyy')
        , 'SA_REP'
        , 8800
        , .25
        , 149
        , 80
        );

INSERT INTO employees VALUES 
        ( 176
        , 'Jonathon'
        , 'Taylor'
        , 'JTAYLOR'
        , '011.44.1644.429265'
        , TO_DATE('24-MAR-1998', 'dd-MON-yyyy')
        , 'SA_REP'
        , 8600
        , .20
        , 149
        , 80
        );

INSERT INTO employees VALUES 
        ( 177
        , 'Jack'
        , 'Livingston'
        , 'JLIVINGS'
        , '011.44.1644.429264'
        , TO_DATE('23-APR-1998', 'dd-MON-yyyy')
        , 'SA_REP'
        , 8400
        , .20
        , 149
        , 80
        );

INSERT INTO employees VALUES 
        ( 178
        , 'Kimberely'
        , 'Grant'
        , 'KGRANT'
        , '011.44.1644.429263'
        , TO_DATE('24-MAY-1999', 'dd-MON-yyyy')
        , 'SA_REP'
        , 7000
        , .15
        , 149
        , NULL
        );

INSERT INTO employees VALUES 
        ( 179
        , 'Charles'
        , 'Johnson'
        , 'CJOHNSON'
        , '011.44.1644.429262'
        , TO_DATE('04-JAN-2000', 'dd-MON-yyyy')
        , 'SA_REP'
        , 6200
        , .10
        , 149
        , 80
        );

INSERT INTO employees VALUES 
        ( 180
        , 'Winston'
        , 'Taylor'
        , 'WTAYLOR'
        , '650.507.9876'
        , TO_DATE('24-JAN-1998', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3200
        , NULL
        , 120
        , 50
        );

INSERT INTO employees VALUES 
        ( 181
        , 'Jean'
        , 'Fleaur'
        , 'JFLEAUR'
        , '650.507.9877'
        , TO_DATE('23-FEB-1998', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3100
        , NULL
        , 120
        , 50
        );

INSERT INTO employees VALUES 
        ( 182
        , 'Martha'
        , 'Sullivan'
        , 'MSULLIVA'
        , '650.507.9878'
        , TO_DATE('21-JUN-1999', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 2500
        , NULL
        , 120
        , 50
        );

INSERT INTO employees VALUES 
        ( 183
        , 'Girard'
        , 'Geoni'
        , 'GGEONI'
        , '650.507.9879'
        , TO_DATE('03-FEB-2000', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 2800
        , NULL
        , 120
        , 50
        );

INSERT INTO employees VALUES 
        ( 184
        , 'Nandita'
        , 'Sarchand'
        , 'NSARCHAN'
        , '650.509.1876'
        , TO_DATE('27-JAN-1996', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 4200
        , NULL
        , 121
        , 50
        );

INSERT INTO employees VALUES 
        ( 185
        , 'Alexis'
        , 'Bull'
        , 'ABULL'
        , '650.509.2876'
        , TO_DATE('20-FEB-1997', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 4100
        , NULL
        , 121
        , 50
        );

INSERT INTO employees VALUES 
        ( 186
        , 'Julia'
        , 'Dellinger'
        , 'JDELLING'
        , '650.509.3876'
        , TO_DATE('24-JUN-1998', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3400
        , NULL
        , 121
        , 50
        );

INSERT INTO employees VALUES 
        ( 187
        , 'Anthony'
        , 'Cabrio'
        , 'ACABRIO'
        , '650.509.4876'
        , TO_DATE('07-FEB-1999', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3000
        , NULL
        , 121
        , 50
        );

INSERT INTO employees VALUES 
        ( 188
        , 'Kelly'
        , 'Chung'
        , 'KCHUNG'
        , '650.505.1876'
        , TO_DATE('14-JUN-1997', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3800
        , NULL
        , 122
        , 50
        );

INSERT INTO employees VALUES 
        ( 189
        , 'Jennifer'
        , 'Dilly'
        , 'JDILLY'
        , '650.505.2876'
        , TO_DATE('13-AUG-1997', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3600
        , NULL
        , 122
        , 50
        );

INSERT INTO employees VALUES 
        ( 190
        , 'Timothy'
        , 'Gates'
        , 'TGATES'
        , '650.505.3876'
        , TO_DATE('11-JUL-1998', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 2900
        , NULL
        , 122
        , 50
        );

INSERT INTO employees VALUES 
        ( 191
        , 'Randall'
        , 'Perkins'
        , 'RPERKINS'
        , '650.505.4876'
        , TO_DATE('19-DEC-1999', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 2500
        , NULL
        , 122
        , 50
        );

INSERT INTO employees VALUES 
        ( 192
        , 'Sarah'
        , 'Bell'
        , 'SBELL'
        , '650.501.1876'
        , TO_DATE('04-FEB-1996', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 4000
        , NULL
        , 123
        , 50
        );

INSERT INTO employees VALUES 
        ( 193
        , 'Britney'
        , 'Everett'
        , 'BEVERETT'
        , '650.501.2876'
        , TO_DATE('03-MAR-1997', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3900
        , NULL
        , 123
        , 50
        );

INSERT INTO employees VALUES 
        ( 194
        , 'Samuel'
        , 'McCain'
        , 'SMCCAIN'
        , '650.501.3876'
        , TO_DATE('01-JUL-1998', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3200
        , NULL
        , 123
        , 50
        );

INSERT INTO employees VALUES 
        ( 195
        , 'Vance'
        , 'Jones'
        , 'VJONES'
        , '650.501.4876'
        , TO_DATE('17-MAR-1999', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 2800
        , NULL
        , 123
        , 50
        );

INSERT INTO employees VALUES 
        ( 196
        , 'Alana'
        , 'Walsh'
        , 'AWALSH'
        , '650.507.9811'
        , TO_DATE('24-APR-1998', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3100
        , NULL
        , 124
        , 50
        );

INSERT INTO employees VALUES 
        ( 197
        , 'Kevin'
        , 'Feeney'
        , 'KFEENEY'
        , '650.507.9822'
        , TO_DATE('23-MAY-1998', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 3000
        , NULL
        , 124
        , 50
        );

INSERT INTO employees VALUES 
        ( 198
        , 'Donald'
        , 'OConnell'
        , 'DOCONNEL'
        , '650.507.9833'
        , TO_DATE('21-JUN-1999', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 2600
        , NULL
        , 124
        , 50
        );

INSERT INTO employees VALUES 
        ( 199
        , 'Douglas'
        , 'Grant'
        , 'DGRANT'
        , '650.507.9844'
        , TO_DATE('13-JAN-2000', 'dd-MON-yyyy')
        , 'SH_CLERK'
        , 2600
        , NULL
        , 124
        , 50
        );

INSERT INTO employees VALUES 
        ( 200
        , 'Jennifer'
        , 'Whalen'
        , 'JWHALEN'
        , '515.123.4444'
        , TO_DATE('17-SEP-1987', 'dd-MON-yyyy')
        , 'AD_ASST'
        , 4400
        , NULL
        , 101
        , 10
        );

INSERT INTO employees VALUES 
        ( 201
        , 'Michael'
        , 'Hartstein'
        , 'MHARTSTE'
        , '515.123.5555'
        , TO_DATE('17-FEB-1996', 'dd-MON-yyyy')
        , 'MK_MAN'
        , 13000
        , NULL
        , 100
        , 20
        );

INSERT INTO employees VALUES 
        ( 202
        , 'Pat'
        , 'Fay'
        , 'PFAY'
        , '603.123.6666'
        , TO_DATE('17-AUG-1997', 'dd-MON-yyyy')
        , 'MK_REP'
        , 6000
        , NULL
        , 201
        , 20
        );

INSERT INTO employees VALUES 
        ( 203
        , 'Susan'
        , 'Mavris'
        , 'SMAVRIS'
        , '515.123.7777'
        , TO_DATE('07-JUN-1994', 'dd-MON-yyyy')
        , 'HR_REP'
        , 6500
        , NULL
        , 101
        , 40
        );

INSERT INTO employees VALUES 
        ( 204
        , 'Hermann'
        , 'Baer'
        , 'HBAER'
        , '515.123.8888'
        , TO_DATE('07-JUN-1994', 'dd-MON-yyyy')
        , 'PR_REP'
        , 10000
        , NULL
        , 101
        , 70
        );

INSERT INTO employees VALUES 
        ( 205
        , 'Shelley'
        , 'Higgins'
        , 'SHIGGINS'
        , '515.123.8080'
        , TO_DATE('07-JUN-1994', 'dd-MON-yyyy')
        , 'AC_MGR'
        , 12000
        , NULL
        , 101
        , 110
        );

INSERT INTO employees VALUES 
        ( 206
        , 'William'
        , 'Gietz'
        , 'WGIETZ'
        , '515.123.8181'
        , TO_DATE('07-JUN-1994', 'dd-MON-yyyy')
        , 'AC_ACCOUNT'
        , 8300
        , NULL
        , 205
        , 110
        );

REM ********* insert data into the JOB_HISTORY table

Prompt ******  Populating JOB_HISTORY table ....


INSERT INTO job_history
VALUES (102
       , TO_DATE('13-JAN-1993', 'dd-MON-yyyy')
       , TO_DATE('24-JUL-1998', 'dd-MON-yyyy')
       , 'IT_PROG'
       , 60);

INSERT INTO job_history
VALUES (101
       , TO_DATE('21-SEP-1989', 'dd-MON-yyyy')
       , TO_DATE('27-OCT-1993', 'dd-MON-yyyy')
       , 'AC_ACCOUNT'
       , 110);

INSERT INTO job_history
VALUES (101
       , TO_DATE('28-OCT-1993', 'dd-MON-yyyy')
       , TO_DATE('15-MAR-1997', 'dd-MON-yyyy')
       , 'AC_MGR'
       , 110);

INSERT INTO job_history
VALUES (201
       , TO_DATE('17-FEB-1996', 'dd-MON-yyyy')
       , TO_DATE('19-DEC-1999', 'dd-MON-yyyy')
       , 'MK_REP'
       , 20);

INSERT INTO job_history
VALUES  (114
        , TO_DATE('24-MAR-1998', 'dd-MON-yyyy')
        , TO_DATE('31-DEC-1999', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 50
        );

INSERT INTO job_history
VALUES  (122
        , TO_DATE('01-JAN-1999', 'dd-MON-yyyy')
        , TO_DATE('31-DEC-1999', 'dd-MON-yyyy')
        , 'ST_CLERK'
        , 50
        );

INSERT INTO job_history
VALUES  (200
        , TO_DATE('17-SEP-1987', 'dd-MON-yyyy')
        , TO_DATE('17-JUN-1993', 'dd-MON-yyyy')
        , 'AD_ASST'
        , 90
        );

INSERT INTO job_history
VALUES  (176
        , TO_DATE('24-MAR-1998', 'dd-MON-yyyy')
        , TO_DATE('31-DEC-1998', 'dd-MON-yyyy')
        , 'SA_REP'
        , 80
        );

INSERT INTO job_history
VALUES  (176
        , TO_DATE('01-JAN-1999', 'dd-MON-yyyy')
        , TO_DATE('31-DEC-1999', 'dd-MON-yyyy')
        , 'SA_MAN'
        , 80
        );

INSERT INTO job_history
VALUES  (200
        , TO_DATE('01-JUL-1994', 'dd-MON-yyyy')
        , TO_DATE('31-DEC-1998', 'dd-MON-yyyy')
        , 'AC_ACCOUNT'
        , 90
        );

REM enable integrity constraint to DEPARTMENTS

ALTER TABLE departments 
  ENABLE CONSTRAINT dept_mgr_fk;

COMMIT;

马哥私房菜博客地址：https://github.com/mageSFC/myblog

第二个表

马哥私房菜博客地址：https://github.com/mageSFC/myblog 

SET FEEDBACK 1
SET NUMWIDTH 10
SET LINESIZE 80
SET TRIMSPOOL ON
SET TAB OFF
SET PAGESIZE 100
SET ECHO OFF 

REM ********************************************************************
REM Create the REGIONS table to hold region information for locations
REM HR.LOCATIONS table has a foreign key to this table.

Prompt ******  Creating REGIONS table ....

CREATE TABLE regions
    ( region_id      NUMBER 
       CONSTRAINT  region_id_nn NOT NULL 
    , region_name    VARCHAR2(25) 
    );

CREATE UNIQUE INDEX reg_id_pk
ON regions (region_id);

ALTER TABLE regions
ADD ( CONSTRAINT reg_id_pk
             PRIMARY KEY (region_id)
    ) ;

REM ********************************************************************
REM Create the COUNTRIES table to hold country information for customers
REM and company locations. 
REM OE.CUSTOMERS table and HR.LOCATIONS have a foreign key to this table.

Prompt ******  Creating COUNTRIES table ....

CREATE TABLE countries 
    ( country_id      CHAR(2) 
       CONSTRAINT  country_id_nn NOT NULL 
    , country_name    VARCHAR2(40) 
    , region_id       NUMBER 
    , CONSTRAINT     country_c_id_pk 
                 PRIMARY KEY (country_id) 
    ) 
    ORGANIZATION INDEX; 

ALTER TABLE countries
ADD ( CONSTRAINT countr_reg_fk
             FOREIGN KEY (region_id)
              REFERENCES regions(region_id) 
    ) ;

REM ********************************************************************
REM Create the LOCATIONS table to hold address information for company departments.
REM HR.DEPARTMENTS has a foreign key to this table.

Prompt ******  Creating LOCATIONS table ....

CREATE TABLE locations
    ( location_id    NUMBER(4)
    , street_address VARCHAR2(40)
    , postal_code    VARCHAR2(12)
    , city       VARCHAR2(30)
    CONSTRAINT     loc_city_nn  NOT NULL
    , state_province VARCHAR2(25)
    , country_id     CHAR(2)
    ) ;

CREATE UNIQUE INDEX loc_id_pk
ON locations (location_id) ;

ALTER TABLE locations
ADD ( CONSTRAINT loc_id_pk
             PRIMARY KEY (location_id)
    , CONSTRAINT loc_c_id_fk
             FOREIGN KEY (country_id)
              REFERENCES countries(country_id) 
    ) ;

Rem     Useful for any subsequent addition of rows to locations table
Rem     Starts with 3300

CREATE SEQUENCE locations_seq
 START WITH     3300
 INCREMENT BY   100
 MAXVALUE       9900
 NOCACHE
 NOCYCLE;

REM ********************************************************************
REM Create the DEPARTMENTS table to hold company department information.
REM HR.EMPLOYEES and HR.JOB_HISTORY have a foreign key to this table.

Prompt ******  Creating DEPARTMENTS table ....

CREATE TABLE departments
    ( department_id    NUMBER(4)
    , department_name  VARCHAR2(30)
    CONSTRAINT  dept_name_nn  NOT NULL
    , manager_id       NUMBER(6)
    , location_id      NUMBER(4)
    ) ;

CREATE UNIQUE INDEX dept_id_pk
ON departments (department_id) ;

ALTER TABLE departments
ADD ( CONSTRAINT dept_id_pk
             PRIMARY KEY (department_id)
    , CONSTRAINT dept_loc_fk
             FOREIGN KEY (location_id)
              REFERENCES locations (location_id)
     ) ;

Rem     Useful for any subsequent addition of rows to departments table
Rem     Starts with 280 

CREATE SEQUENCE departments_seq
 START WITH     280
 INCREMENT BY   10
 MAXVALUE       9990
 NOCACHE
 NOCYCLE;

REM ********************************************************************
REM Create the JOBS table to hold the different names of job roles within the company.
REM HR.EMPLOYEES has a foreign key to this table.

Prompt ******  Creating JOBS table ....

CREATE TABLE jobs
    ( job_id         VARCHAR2(10)
    , job_title      VARCHAR2(35)
    CONSTRAINT     job_title_nn  NOT NULL
    , min_salary     NUMBER(6)
    , max_salary     NUMBER(6)
    ) ;

CREATE UNIQUE INDEX job_id_pk 
ON jobs (job_id) ;

ALTER TABLE jobs
ADD ( CONSTRAINT job_id_pk
             PRIMARY KEY(job_id)
    ) ;

REM ********************************************************************
REM Create the EMPLOYEES table to hold the employee personnel 
REM information for the company.
REM HR.EMPLOYEES has a self referencing foreign key to this table.

Prompt ******  Creating EMPLOYEES table ....

CREATE TABLE employees
    ( employee_id    NUMBER(6)
    , first_name     VARCHAR2(20)
    , last_name      VARCHAR2(25)
     CONSTRAINT     emp_last_name_nn  NOT NULL
    , email          VARCHAR2(25)
    CONSTRAINT     emp_email_nn  NOT NULL
    , phone_number   VARCHAR2(20)
    , hire_date      DATE
    CONSTRAINT     emp_hire_date_nn  NOT NULL
    , job_id         VARCHAR2(10)
    CONSTRAINT     emp_job_nn  NOT NULL
    , salary         NUMBER(8,2)
    , commission_pct NUMBER(2,2)
    , manager_id     NUMBER(6)
    , department_id  NUMBER(4)
    , CONSTRAINT     emp_salary_min
                     CHECK (salary > 0) 
    , CONSTRAINT     emp_email_uk
                     UNIQUE (email)
    ) ;

CREATE UNIQUE INDEX emp_emp_id_pk
ON employees (employee_id) ;


ALTER TABLE employees
ADD ( CONSTRAINT     emp_emp_id_pk
                     PRIMARY KEY (employee_id)
    , CONSTRAINT     emp_dept_fk
                     FOREIGN KEY (department_id)
                      REFERENCES departments
    , CONSTRAINT     emp_job_fk
                     FOREIGN KEY (job_id)
                      REFERENCES jobs (job_id)
    , CONSTRAINT     emp_manager_fk
                     FOREIGN KEY (manager_id)
                      REFERENCES employees
    ) ;

ALTER TABLE departments
ADD ( CONSTRAINT dept_mgr_fk
             FOREIGN KEY (manager_id)
              REFERENCES employees (employee_id)
    ) ;


Rem     Useful for any subsequent addition of rows to employees table
Rem     Starts with 207 


CREATE SEQUENCE employees_seq
 START WITH     207
 INCREMENT BY   1
 NOCACHE
 NOCYCLE;

REM ********************************************************************
REM Create the JOB_HISTORY table to hold the history of jobs that 
REM employees have held in the past.
REM HR.JOBS, HR_DEPARTMENTS, and HR.EMPLOYEES have a foreign key to this table.

Prompt ******  Creating JOB_HISTORY table ....

CREATE TABLE job_history
    ( employee_id   NUMBER(6)
     CONSTRAINT    jhist_employee_nn  NOT NULL
    , start_date    DATE
    CONSTRAINT    jhist_start_date_nn  NOT NULL
    , end_date      DATE
    CONSTRAINT    jhist_end_date_nn  NOT NULL
    , job_id        VARCHAR2(10)
    CONSTRAINT    jhist_job_nn  NOT NULL
    , department_id NUMBER(4)
    , CONSTRAINT    jhist_date_interval
                    CHECK (end_date > start_date)
    ) ;

CREATE UNIQUE INDEX jhist_emp_id_st_date_pk 
ON job_history (employee_id, start_date) ;

ALTER TABLE job_history
ADD ( CONSTRAINT jhist_emp_id_st_date_pk
      PRIMARY KEY (employee_id, start_date)
    , CONSTRAINT     jhist_job_fk
                     FOREIGN KEY (job_id)
                     REFERENCES jobs
    , CONSTRAINT     jhist_emp_fk
                     FOREIGN KEY (employee_id)
                     REFERENCES employees
    , CONSTRAINT     jhist_dept_fk
                     FOREIGN KEY (department_id)
                     REFERENCES departments
    ) ;

REM ********************************************************************
REM Create the EMP_DETAILS_VIEW that joins the employees, jobs, 
REM departments, jobs, countries, and locations table to provide details
REM about employees.

Prompt ******  Creating EMP_DETAILS_VIEW view ...

CREATE OR REPLACE VIEW emp_details_view
  (employee_id,
   job_id,
   manager_id,
   department_id,
   location_id,
   country_id,
   first_name,
   last_name,
   salary,
   commission_pct,
   department_name,
   job_title,
   city,
   state_province,
   country_name,
   region_name)
AS SELECT
  e.employee_id, 
  e.job_id, 
  e.manager_id, 
  e.department_id,
  d.location_id,
  l.country_id,
  e.first_name,
  e.last_name,
  e.salary,
  e.commission_pct,
  d.department_name,
  j.job_title,
  l.city,
  l.state_province,
  c.country_name,
  r.region_name
FROM
  employees e,
  departments d,
  jobs j,
  locations l,
  countries c,
  regions r
WHERE e.department_id = d.department_id
  AND d.location_id = l.location_id
  AND l.country_id = c.country_id
  AND c.region_id = r.region_id
  AND j.job_id = e.job_id 
WITH READ ONLY;

COMMIT;

第三个表

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ALTER TABLE departments
DISABLE CONSTRAINT DEPT_MGR_FK;

ALTER TABLE job_history
DISABLE CONSTRAINT JHIST_EMP_FK;

DROP TRIGGER secure_employees;

DROP TRIGGER update_job_history;

DROP PROCEDURE add_job_history;

DROP PROCEDURE secure_dml;

DELETE FROM employees
WHERE manager_id IN (108, 114, 120, 121, 122, 123, 145, 146, 147, 148);

DELETE FROM employees
WHERE employee_id IN (114, 120, 121, 122, 123, 145, 146, 147, 148, 
                      196, 197, 198, 199, 105, 106, 108, 175, 177, 
                      179, 203, 204);

DELETE FROM locations
WHERE location_id NOT IN 
  (SELECT DISTINCT location_id
   FROM departments);

DELETE FROM countries
WHERE country_id NOT IN
  (SELECT country_id
   FROM locations);

DELETE FROM jobs
WHERE job_id NOT IN
  (SELECT job_id
   FROM employees);

DELETE FROM departments
WHERE department_id NOT IN 
  (SELECT DISTINCT department_id
   FROM employees
   WHERE department_id IS NOT NULL);

UPDATE departments
SET manager_id = 124
WHERE department_id = 50;

UPDATE departments
SET manager_id = 149
WHERE department_id = 80;

DELETE FROM locations
WHERE location_id IN (2700, 2400);

UPDATE locations
SET street_address = '460 Bloor St. W.', 
    postal_code = 'ON M5S 1X8'
WHERE location_id = 1800;

ALTER TABLE departments
ENABLE CONSTRAINT DEPT_MGR_FK;

CREATE TABLE job_grades
(grade_level VARCHAR2(3),
 lowest_sal  NUMBER,
 highest_sal NUMBER);

INSERT INTO job_grades
VALUES ('A', 1000, 2999);

INSERT INTO job_grades
VALUES ('B', 3000, 5999);

INSERT INTO job_grades
VALUES('C', 6000, 9999);

INSERT INTO job_grades
VALUES('D', 10000, 14999);

INSERT INTO job_grades
VALUES('E', 15000, 24999);

INSERT INTO job_grades
VALUES('F', 25000, 40000);

INSERT INTO departments VALUES 
        ( 190 
        , 'Contracting'
        , NULL
        , 1700
        );

COMMIT;

这里给出几个表直接的关系

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马哥私房菜博客地址：<a href= https://github.com/mageSFC/myblog ” title=”” />

数据库表的导入？
使用sql developer，

执行 @D:/del_data.sql
执行 @D:/hr_cre.sql
执行 @D:/hr_popul.sql
这样就把sql文件导入到数据库里面了。

我们执行我们的项目，让其自动的再创建2长表，一个是hb_department, 另一个是hb_employee, 这个是在hbm配置文件里面定义的表格名的。

接下来我们把刚刚导入的sql文件中有一个departments表的数据导入到这个hb_department表,

sql> INSERT  INTO  hb_department SELECT DEPARTMENT_ID,DEPARTMENT_NAME from DEPARTMENTS
[2018-01-15 16:32:52] 27 rows affected in 37ms

然后通用的操作包employees表格中的数据导入到hb_employee表，

sql> INSERT  INTO  HB_EMPLOYEE SELECT  EMPLOYEE_ID,LAST_NAME,SALARY,EMAIL,DEPARTMENT_ID FROM EMPLOYEES
[2018-01-15 16:34:36] 107 rows affected in 10ms

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hibernate的配置文件。

<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE hibernate-configuration PUBLIC
        "-//Hibernate/Hibernate Configuration DTD//EN"
        "http://www.hibernate.org/dtd/hibernate-configuration-3.0.dtd">
<hibernate-configuration>
    <session-factory>
        <!--  链接数据库的基本信息 -->
        <property name="hibernate.connection.username">system</property>
        <property name="hibernate.connection.password">xxxx</property>
        <property name="hibernate.connection.driver_class">oracle.jdbc.driver.OracleDriver</property>
        <property name="hibernate.connection.url">jdbc:oracle:thin:@10.0.63.42:1521:orcl</property>
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        <!-- 配置数据库的方言 -->
        <property name="hibernate.dialect">org.hibernate.dialect.Oracle10gDialect</property>
        <!--<property name="dialect">org.hibernate.dialect.MySQL5Dialect</property>-->
        <!--<property name="dialect">org.hibernate.dialect.MySQLInnoDBDialect</property>-->

        <!--是否打印sql语句-->
        <property name="show_sql">true</property>
         马哥私房菜博客地址：https://github.com/mageSFC/myblog 
        <!--是否对sql语句格式化-->
        <property name="format_sql">true</property>

        <!--指定自动生成数据库表的策略，有4个值-->
        <property name="hbm2ddl.auto">update</property>

        <property name="connection.isolation">2</property>
        <!--<property name="use_identifier_rollback">true</property>-->
        马哥私房菜博客地址：https://github.com/mageSFC/myblog 
        <!--&lt;!&ndash;C3P0配置 &ndash;&gt;-->
        <!--<property name="hibernate.connection.provider_class">-->
            <!--org.hibernate.service.jdbc.connections.internal.C3P0ConnectionProvider-->
        <!--</property>-->
        <!--<property name="hibernate.c3p0.max_size">10</property>-->
        <!--<property name="hibernate.c3p0.min_size">5</property>-->
        <!--<property name="hibernate.c3p0.acquire_increment">5</property>-->
        <!--<property name="hibernate.c3p0.timeout">20000</property>-->
        <!--<property name="hibernate.c3p0.idle_test_period">20000</property>-->
        <!--<property name="hibernate.c3p0.max_statements">2</property>-->

         马哥私房菜博客地址：https://github.com/mageSFC/myblog 
        <property name="hibernate.jdbc.fetch_size">100</property>
        <property name="hibernate.jdbc.batch_size">30</property>

         马哥私房菜博客地址：https://github.com/mageSFC/myblog 
        <mapping resource="Department.hbm.xml"/>
        <mapping resource="Employee.hbm.xml"/>

         马哥私房菜博客地址：https://github.com/mageSFC/myblog 
    </session-factory>
</hibernate-configuration>

<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE hibernate-mapping PUBLIC
        "-//Hibernate/Hibernate Mapping DTD 3.0//EN"
        "http://www.hibernate.org/dtd/hibernate-mapping-3.0.dtd">


<hibernate-mapping package="com.mamh.hibernate.hql.entities">
     马哥私房菜博客地址：https://github.com/mageSFC/myblog 
    <class name="Employee" table="hb_employee">
        <id name="id" type="java.lang.Integer">
            <column name="id"/>
            <generator class="native"/>
        </id>

        <property name="name" type="java.lang.String">
            <column name="name"/>
        </property>


        <property name="salary" type="float">
            <column name="salary"/>
        </property>

        <property name="email" type="java.lang.String">
            <column name="email"/>
        </property>

        <many-to-one name="dept" class="Department">
            <column name="dept_id"/>
        </many-to-one>

       马哥私房菜博客地址：https://github.com/mageSFC/myblog 
    </class>
</hibernate-mapping>

<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE hibernate-mapping PUBLIC
        "-//Hibernate/Hibernate Mapping DTD 3.0//EN"
        "http://www.hibernate.org/dtd/hibernate-mapping-3.0.dtd">

        马哥私房菜博客地址：https://github.com/mageSFC/myblog 
<hibernate-mapping package="com.mamh.hibernate.hql.entities">

    <class name="Department" table="hb_department">
        <id name="id"  type="java.lang.String">
            <column name="id" />
            <generator class="native"/>
        </id>
        <property name="name" type="java.lang.String">
            <column name="name"/>
        </property>

        <set name="emps" table="hb_employee" inverse="false" lazy="true">
            <key>
                <column name="dept_id"/>
            </key>
            <one-to-many class="Employee"/>
        </set>
    </class>
</hibernate-mapping>
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package com.mamh.hibernate.hql.entities;

马哥私房菜博客地址：https://github.com/mageSFC/myblog 
public class Department {
    private String id;
    private String name;

    private Set<Employee> emps = new HashSet<Employee>();

    public String getId() {
        return id;
    }

    public void setId(String id) {
        this.id = id;
    }

    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

    public Set<Employee> getEmps() {
        return emps;
    }

    public void setEmps(Set<Employee> emps) {
        this.emps = emps;
    }

    @Override
    public String toString() {
        return "Department{" +
                "id='" + id + '\'' +
                ", name='" + name + '\'' +
                '}';
    }
}

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package com.mamh.hibernate.hql.entities;

马哥私房菜博客地址：https://github.com/mageSFC/myblog 
public class Employee {
    private Integer id;
    private String name;
    private float salary;
    private String email;


    private Department dept;


    public Integer getId() {
        return id;
    }

    public void setId(Integer id) {
        this.id = id;
    }

    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

    public float getSalary() {
        return salary;
    }

    public void setSalary(float salary) {
        this.salary = salary;
    }

    public String getEmail() {
        return email;
    }

    public void setEmail(String email) {
        this.email = email;
    }

    public Department getDept() {
        return dept;
    }

    public void setDept(Department dept) {
        this.dept = dept;
    }

    @Override
    public String toString() {
        return "Employee{" +
                "id=" + id +
                ", name='" + name + '\'' +
                ", salary=" + salary +
                ", email='" + email + '\'' +
                ", dept=" + dept +
                '}'+'\n';
    }
}

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这2个类都是比较简单的。

马哥私房菜博客地址：https://github.com/mageSFC/myblog

package com.mamh.hibernate.demo;


public class HibernateHqlTest {
    SessionFactory sessionFactory = null;
    private Session session = null;
    private Transaction transaction = null;


    @Before
    public void init() {
        System.out.println("=init=");
        //1.创建一个SessionFactory 对象，创建session的工厂的一个类
        //1.1创建一个Configuration对象，对应hibernate的基本配置信息和对象关系映射信息
        Configuration configuration = new Configuration().configure();
        //1.2创建一个ServiceRegistry对象，hibernate4.x新添加的对象，hibernate任何的配置和服务都要在该对象中注册才能有效。
        ServiceRegistry serviceRegistry = new ServiceRegistryBuilder().applySettings(configuration.getProperties()).buildServiceRegistry();
        //1.3
        sessionFactory = configuration.buildSessionFactory(serviceRegistry);
        //2.创建一个Session对象,这个和jdbc中的connection很类似
        session = sessionFactory.openSession();
        //3.开启事务
        transaction = session.beginTransaction();
    }



    @After
    public void destroy() {
        System.out.println("=destroy=");
        //5.提交事务
        transaction.commit();

        //6.关闭session对象
        session.close();

        //7.关闭SessionFactory 对象
        sessionFactory.close();

    }

}

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添加测试hql查询类

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    @Test
    public void testHQL(){

        String hql = "from Employee e where e.salary > ? and e.email like ?";
        Query query = session.createQuery(hql);

        query.setFloat(0, 6000).setString(1, "%A%");

        List list = query.list();
        System.out.println(list);


    }

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Hibernate: 
    select
        employee0_.id as id1_,
        employee0_.name as name1_,
        employee0_.salary as salary1_,
        employee0_.email as email1_,
        employee0_.dept_id as dept5_1_ 
    from
        hb_employee employee0_ 
    where
        employee0_.salary>? 
        and (
            employee0_.email like ?
        )
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,
        department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
[Employee{id=101, name='Kochhar', salary=17000.0, email='NKOCHHAR', dept=Department{id='90', name='Executive'}}
, Employee{id=102, name='De Haan', salary=17000.0, email='LDEHAAN', dept=Department{id='90', name='Executive'}}
, Employee{id=103, name='Hunold', salary=9000.0, email='AHUNOLD', dept=Department{id='60', name='IT'}}
, Employee{id=109, name='Faviet', salary=9000.0, email='DFAVIET', dept=Department{id='100', name='Finance'}}
, Employee{id=111, name='Sciarra', salary=7700.0, email='ISCIARRA', dept=Department{id='100', name='Finance'}}
, Employee{id=112, name='Urman', salary=7800.0, email='JMURMAN', dept=Department{id='100', name='Finance'}}
, Employee{id=114, name='Raphaely', salary=11000.0, email='DRAPHEAL', dept=Department{id='30', name='Purchasing'}}
, Employee{id=121, name='Fripp', salary=8200.0, email='AFRIPP', dept=Department{id='50', name='Shipping'}}
, Employee{id=122, name='Kaufling', salary=7900.0, email='PKAUFLIN', dept=Department{id='50', name='Shipping'}}
, Employee{id=123, name='Vollman', salary=6500.0, email='SVOLLMAN', dept=Department{id='50', name='Shipping'}}
, Employee{id=146, name='Partners', salary=13500.0, email='KPARTNER', dept=Department{id='80', name='Sales'}}
, Employee{id=147, name='Errazuriz', salary=12000.0, email='AERRAZUR', dept=Department{id='80', name='Sales'}}
, Employee{id=148, name='Cambrault', salary=11000.0, email='GCAMBRAU', dept=Department{id='80', name='Sales'}}
, Employee{id=152, name='Hall', salary=9000.0, email='PHALL', dept=Department{id='80', name='Sales'}}
, Employee{id=154, name='Cambrault', salary=7500.0, email='NCAMBRAU', dept=Department{id='80', name='Sales'}}
, Employee{id=155, name='Tuvault', salary=7000.0, email='OTUVAULT', dept=Department{id='80', name='Sales'}}
, Employee{id=158, name='McEwen', salary=9000.0, email='AMCEWEN', dept=Department{id='80', name='Sales'}}
, Employee{id=160, name='Doran', salary=7500.0, email='LDORAN', dept=Department{id='80', name='Sales'}}
, Employee{id=161, name='Sewall', salary=7000.0, email='SSEWALL', dept=Department{id='80', name='Sales'}}
, Employee{id=164, name='Marvins', salary=7200.0, email='MMARVINS', dept=Department{id='80', name='Sales'}}
, Employee{id=166, name='Ande', salary=6400.0, email='SANDE', dept=Department{id='80', name='Sales'}}
, Employee{id=167, name='Banda', salary=6200.0, email='ABANDA', dept=Department{id='80', name='Sales'}}
, Employee{id=172, name='Bates', salary=7300.0, email='EBATES', dept=Department{id='80', name='Sales'}}
, Employee{id=173, name='Kumar', salary=6100.0, email='SKUMAR', dept=Department{id='80', name='Sales'}}
, Employee{id=174, name='Abel', salary=11000.0, email='EABEL', dept=Department{id='80', name='Sales'}}
, Employee{id=175, name='Hutton', salary=8800.0, email='AHUTTON', dept=Department{id='80', name='Sales'}}
, Employee{id=176, name='Taylor', salary=8600.0, email='JTAYLOR', dept=Department{id='80', name='Sales'}}
, Employee{id=178, name='Grant', salary=7000.0, email='KGRANT', dept=null}
, Employee{id=201, name='Hartstein', salary=13000.0, email='MHARTSTE', dept=Department{id='20', name='Marketing'}}
, Employee{id=203, name='Mavris', salary=6500.0, email='SMAVRIS', dept=Department{id='40', name='Human Resources'}}
, Employee{id=204, name='Baer', salary=10000.0, email='HBAER', dept=Department{id='70', name='Public Relations'}}
]
马哥私房菜博客地址：https://github.com/mageSFC/myblog 
=destroy=

马哥私房菜博客地址：https://github.com/mageSFC/myblog

参数使用命名参数的一种形式

马哥私房菜博客地址：https://github.com/mageSFC/myblog 
    @Test
    public void testHQL1() {  //参数使用命名参数
        String hql = "from Employee e where e.salary > :sal and e.email like :email";
        Query query = session.createQuery(hql);


        query.setFloat("sal", 6000).setString("email", "%B%");

        List list = query.list();
        System.out.println(list);
        System.out.println(list.size());
    }

马哥私房菜博客地址：https://github.com/mageSFC/myblog

还可以使用order by

马哥私房菜博客地址：https://github.com/mageSFC/myblog 
    @Test
    public void testHQL1() {  //参数使用命名参数
        String hql = "from Employee e where e.salary > :sal and e.email like :email  order by e.salary";
        Query query = session.createQuery(hql);


        query.setFloat("sal", 6000).setString("email", "%B%");

        List list = query.list();
        System.out.println(list);
        System.out.println(list.size());
    }

Hibernate:马哥私房菜博客地址：https://github.com/mageSFC/myblog  

    select
        employee0_.id as id1_,
        employee0_.name as name1_,
        employee0_.salary as salary1_,
        employee0_.email as email1_,
        employee0_.dept_id as dept5_1_ 
    from
        hb_employee employee0_ 
    where
        employee0_.salary>? 
        and (
            employee0_.email like ?
        ) 
    order by
        employee0_.salary

使用实体类作为查询条件

马哥私房菜博客地址：https://github.com/mageSFC/myblog

    @Test
    public void testHQL1() {  //参数使用命名参数
        String hql = "from Employee e where e.salary > :sal and e.email like :email and e.dept = :dept order by e.salary";
        Query query = session.createQuery(hql);


        Department dept=new Department();
        dept.setId(80);
        query.setFloat("sal", 6000)
                .setString("email", "%B%")
                .setEntity("dept", dept);

        List list = query.list();
        //System.out.println(list);
        System.out.println(list.size());
    }
Hibernate:  马哥私房菜博客地址：https://github.com/mageSFC/myblog 
    select
        employee0_.id as id1_,
        employee0_.name as name1_,
        employee0_.salary as salary1_,
        employee0_.email as email1_,
        employee0_.dept_id as dept5_1_ 
    from
        hb_employee employee0_ 
    where
        employee0_.salary>? 
        and (
            employee0_.email like ?
        ) 
        and employee0_.dept_id=? 
    order by
        employee0_.salary
7
=destroy=

马哥私房菜博客地址：https://github.com/mageSFC/myblog

分页查询
setFirstResult(int firstResult)设定从哪一个对象开始检索，参数 firstResult 表示这个对象在查询结果中的索引位置，
索引位置的起始值是0，默认情况下query从查询结果中的第一个对象开始检索。

setMaxResult(int maxResult)设定一次最多检索出的对象数目，在默认情况下，query和criteria接口检索出查询结果中所有的对象

马哥私房菜博客地址：https://github.com/mageSFC/myblog


    @Test
    public void testHQL2(){//分页查询
        String hql = "from Employee";
        Query query = session.createQuery(hql);
        int pageNo = 3;
        int pageSize = 5;

        query.setFirstResult((pageNo - 1) * pageSize);
        query.setMaxResults(pageSize);
        List list = query.list();
        System.out.println(list);


    }




Hibernate: 马哥私房菜博客地址：https://github.com/mageSFC/myblog 
    select
        * 
    from
        ( select row_.*, rownum rownum_ 
        from
            ( select  employee0_.id as id1_, employee0_.name as name1_,
             employee0_.salary as salary1_, employee0_.email as email1_, 
             employee0_.dept_id as dept5_1_ 
            from
                hb_employee employee0_ ) row_ 
        where
            rownum <= ?
        ) 
    where
        rownum_ > ?
Hibernate:马哥私房菜博客地址：https://github.com/mageSFC/myblog  
    select
        department0_.id as id0_0_, department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?
Hibernate: 
    select
        department0_.id as id0_0_,department0_.name as name0_0_ 
    from
        hb_department department0_ 
    where
        department0_.id=?

[Employee{id=110, name='Chen', salary=8200.0, email='JCHEN', dept=Department{id='100', name='Finance'}}
, Employee{id=111, name='Sciarra', salary=7700.0, email='ISCIARRA', dept=Department{id='100', name='Finance'}}
, Employee{id=112, name='Urman', salary=7800.0, email='JMURMAN', dept=Department{id='100', name='Finance'}}
, Employee{id=113, name='Popp', salary=6900.0, email='LPOPP', dept=Department{id='100', name='Finance'}}
, Employee{id=114, name='Raphaely', salary=11000.0, email='DRAPHEAL', dept=Department{id='30', name='Purchasing'}}
]


马哥私房菜博客地址：https://github.com/mageSFC/myblog 
从第三页开始，每页显示5条记录。这里结果正好是从110id开始的。

命名查询
一个和class并列的一个标签 query标签
可以把hql语句配置到xml配置文件中

马哥私房菜博客地址：https://github.com/mageSFC/myblog


<hibernate-mapping package="com.mamh.hibernate.hql.entities">

    <class name="Employee" table="hb_employee">
        <id name="id" type="java.lang.Integer">
            <column name="id"/>
            <generator class="native"/>
        </id>

        <property name="name" type="java.lang.String">
            <column name="name"/>
        </property>


        <property name="salary" type="float">
            <column name="salary"/>
        </property>

        <property name="email" type="java.lang.String">
            <column name="email"/>
        </property>

        <many-to-one name="dept" class="Department">
            <column name="dept_id"/>
        </many-to-one>


    </class>


    <query name="salary">
        <![
        CDATA[
            FROM Employee  e where e.salary > :minSalary and e.salary < :maxSalary
            ]
        ]
        >
    </query>
</hibernate-mapping>

    @Test
    public void testHQL3() {
        Query query = session.getNamedQuery("salary");

        query.setFloat("minSalary", 5000);
        query.setFloat("maxSalary", 10000);

        List list = query.list();
        System.out.println(list.size());
    }

投影查询
查询结果仅包含实体的部分属性
“`
String hql = “” +
“select new Employee (e.id, e.name,e.salary,e.email) ” +
“from Employee e ” +
“where e.dept= :dept”;

关键就是这里的hql语句，用的了    Employee 的带参数的一个构造方法

@Test
public void testHQL4() {
    String hql = "select e.email,e.salary from Employee e where e.dept= :dept";
    Query query = session.createQuery(hql);

    Department dept = new Department();
    dept.setId(80);
    List<Object []> list = query.setEntity("dept", dept).list();

    for (Object[] o : list) {
        System.out.println(Arrays.asList(o));
    }

}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

Hibernate:
select
employee0_.email as col_0_0_,
employee0_.salary as col_1_0_
from
hb_employee employee0_
where
employee0_.dept_id=?
[JRUSSEL, 14000.0]
[KPARTNER, 13500.0]
[AERRAZUR, 12000.0]
[GCAMBRAU, 11000.0]
[EZLOTKEY, 10500.0]
[PTUCKER, 10000.0]
[DBERNSTE, 9500.0]
[PHALL, 9000.0]
[COLSEN, 8000.0]
[NCAMBRAU, 7500.0]
[OTUVAULT, 7000.0]
[JKING, 10000.0]
[PSULLY, 9500.0]
[AMCEWEN, 9000.0]
[LSMITH, 8000.0]
[LDORAN, 7500.0]
[SSEWALL, 7000.0]
[CVISHNEY, 10500.0]
[DGREENE, 9500.0]
[MMARVINS, 7200.0]
[DLEE, 6800.0]
[SANDE, 6400.0]
[ABANDA, 6200.0]
[LOZER, 11500.0]
[HBLOOM, 10000.0]
[TFOX, 9600.0]
[WSMITH, 7400.0]
[EBATES, 7300.0]
[SKUMAR, 6100.0]
[EABEL, 11000.0]
[AHUTTON, 8800.0]
[JTAYLOR, 8600.0]
[JLIVINGS, 8400.0]
[CJOHNSON, 6200.0]

马哥私房菜博客地址：https://github.com/mageSFC/myblog

@Test
public void testHQL4() {
    String hql = "" +
            "select new Employee (e.id, e.name,e.salary,e.email) " +
            "from Employee e " +
            "where e.dept= :dept";
    Query query = session.createQuery(hql);

    Department dept = new Department();
    dept.setId(80);

    List<Employee> list = query.setEntity("dept", dept).list();

    for (Employee o : list) {
        System.out.println(o);
    }

}

public class Employee {
private Integer id;
private String name;
private float salary;
private String email;

private Department dept;


public Employee() {
}

public Employee(Integer id, String name, float salary, String email) {
    this.id = id;
    this.name = name;
    this.salary = salary;
    this.email = email;
}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

Hibernate:
select
employee0_.id as col_0_0_,
employee0_.name as col_1_0_,
employee0_.salary as col_2_0_,
employee0_.email as col_3_0_
from
hb_employee employee0_
where
employee0_.dept_id=?

Employee{id=145, name=’Russell’, salary=14000.0, email=’JRUSSEL’, dept=null}

Employee{id=146, name=’Partners’, salary=13500.0, email=’KPARTNER’, dept=null}

Employee{id=147, name=’Errazuriz’, salary=12000.0, email=’AERRAZUR’, dept=null}

Employee{id=148, name=’Cambrault’, salary=11000.0, email=’GCAMBRAU’, dept=null}

Employee{id=149, name=’Zlotkey’, salary=10500.0, email=’EZLOTKEY’, dept=null}

Employee{id=150, name=’Tucker’, salary=10000.0, email=’PTUCKER’, dept=null}

Employee{id=151, name=’Bernstein’, salary=9500.0, email=’DBERNSTE’, dept=null}

Employee{id=152, name=’Hall’, salary=9000.0, email=’PHALL’, dept=null}

Employee{id=153, name=’Olsen’, salary=8000.0, email=’COLSEN’, dept=null}

Employee{id=154, name=’Cambrault’, salary=7500.0, email=’NCAMBRAU’, dept=null}

Employee{id=155, name=’Tuvault’, salary=7000.0, email=’OTUVAULT’, dept=null}

Employee{id=156, name=’King’, salary=10000.0, email=’JKING’, dept=null}

Employee{id=157, name=’Sully’, salary=9500.0, email=’PSULLY’, dept=null}

Employee{id=158, name=’McEwen’, salary=9000.0, email=’AMCEWEN’, dept=null}

Employee{id=159, name=’Smith’, salary=8000.0, email=’LSMITH’, dept=null}

Employee{id=160, name=’Doran’, salary=7500.0, email=’LDORAN’, dept=null}

Employee{id=161, name=’Sewall’, salary=7000.0, email=’SSEWALL’, dept=null}

Employee{id=162, name=’Vishney’, salary=10500.0, email=’CVISHNEY’, dept=null}

Employee{id=163, name=’Greene’, salary=9500.0, email=’DGREENE’, dept=null}

Employee{id=164, name=’Marvins’, salary=7200.0, email=’MMARVINS’, dept=null}

Employee{id=165, name=’Lee’, salary=6800.0, email=’DLEE’, dept=null}

Employee{id=166, name=’Ande’, salary=6400.0, email=’SANDE’, dept=null}

Employee{id=167, name=’Banda’, salary=6200.0, email=’ABANDA’, dept=null}

Employee{id=168, name=’Ozer’, salary=11500.0, email=’LOZER’, dept=null}

Employee{id=169, name=’Bloom’, salary=10000.0, email=’HBLOOM’, dept=null}

Employee{id=170, name=’Fox’, salary=9600.0, email=’TFOX’, dept=null}

Employee{id=171, name=’Smith’, salary=7400.0, email=’WSMITH’, dept=null}

Employee{id=172, name=’Bates’, salary=7300.0, email=’EBATES’, dept=null}

Employee{id=173, name=’Kumar’, salary=6100.0, email=’SKUMAR’, dept=null}

Employee{id=174, name=’Abel’, salary=11000.0, email=’EABEL’, dept=null}

Employee{id=175, name=’Hutton’, salary=8800.0, email=’AHUTTON’, dept=null}

Employee{id=176, name=’Taylor’, salary=8600.0, email=’JTAYLOR’, dept=null}

Employee{id=177, name=’Livingston’, salary=8400.0, email=’JLIVINGS’, dept=null}

Employee{id=179, name=’Johnson’, salary=6200.0, email=’CJOHNSON’, dept=null}

=destroy=

Process finished with exit code 0

马哥私房菜博客地址：https://github.com/mageSFC/myblog 


报表查询

可以使用group by，having，聚集函数等

@Test
public void testHQLGroupBy() {
    String hql = "select min(e.salary), max(e.salary) " +
            "from Employee e " +
            "group by e.dept " +
            "having min(salary) > :minSalary";
    Query query = session.createQuery(hql);

    query.setFloat("minSalary", 8000);

    List<Object[]> list = query.list();

    for (Object[] o : list) {
        System.out.println(Arrays.asList(o));
    }


}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

Hibernate:
select
min(employee0_.salary) as col_0_0_,
max(employee0_.salary) as col_1_0_
from
hb_employee employee0_
group by
employee0_.dept_id
having
min(employee0_.salary)>?
[8300.0, 12000.0]
[17000.0, 24000.0]
[10000.0, 10000.0]
=destroy=

Process finished with exit code 0

----------
HQL(迫切)左外链接

马哥私房菜博客地址：https://github.com/mageSFC/myblog 

迫切左外链接：使用left join fetch 关键字
list()方法返回的集合中存放实体对象引用，每个department对象关联的employee集合都被
初始化，存放所有关联的employee的实体对象
查询结果中可能会有重复元素，可以通过hashset来过滤重复元素

马哥私房菜博客地址：https://github.com/mageSFC/myblog 

左外链接：使用left join 关键字
list()方法返回的集合中存放的是对象数组类型
根据配置文件来决定employee结合的检索策略
如果希望list()方法返回的集合中仅包含department对象，可以在hql查询语句中使用select关键字

马哥私房菜博客地址：https://github.com/mageSFC/myblog

@Test
public void testHQLLeftJoin(){
    String hql="from Department d left join fetch d.emps";
    Query query = session.createQuery(hql);

    List list = query.list();
    System.out.println(list);
    System.out.println(list.size());

}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

Hibernate:
select
department0_.id as id0_0_,
emps1_.id as id1_1_,
department0_.name as name0_0_,
emps1_.name as name1_1_,
emps1_.salary as salary1_1_,
emps1_.email as email1_1_,
emps1_.dept_id as dept5_1_1_,
emps1_.dept_id as dept5_0_0__,
emps1_.id as id0__
from
hb_department department0_
left outer join
hb_employee emps1_
on department0_.id=emps1_.dept_id

[Department{id=’90’, name=’Executive’}
, Department{id=’90’, name=’Executive’}
, Department{id=’90’, name=’Executive’}
, Department{id=’60’, name=’IT’}
, Department{id=’60’, name=’IT’}
, Department{id=’60’, name=’IT’}
, Department{id=’60’, name=’IT’}
, Department{id=’60’, name=’IT’}
, Department{id=’100’, name=’Finance’}
, Department{id=’100’, name=’Finance’}
, Department{id=’100’, name=’Finance’}
, Department{id=’100’, name=’Finance’}
, Department{id=’100’, name=’Finance’}
, Department{id=’100’, name=’Finance’}
, Department{id=’30’, name=’Purchasing’}
, Department{id=’30’, name=’Purchasing’}
, Department{id=’30’, name=’Purchasing’}
, Department{id=’30’, name=’Purchasing’}
, Department{id=’30’, name=’Purchasing’}
, Department{id=’30’, name=’Purchasing’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’80’, name=’Sales’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’10’, name=’Administration’}
, Department{id=’20’, name=’Marketing’}
, Department{id=’20’, name=’Marketing’}
, Department{id=’40’, name=’Human Resources’}
, Department{id=’70’, name=’Public Relations’}
, Department{id=’110’, name=’Accounting’}
, Department{id=’110’, name=’Accounting’}
, Department{id=’160’, name=’Benefits’}
, Department{id=’200’, name=’Operations’}
, Department{id=’230’, name=’IT Helpdesk’}
, Department{id=’140’, name=’Control And Credit’}
, Department{id=’130’, name=’Corporate Tax’}
, Department{id=’240’, name=’Government Sales’}
, Department{id=’170’, name=’Manufacturing’}
, Department{id=’210’, name=’IT Support’}
, Department{id=’180’, name=’Construction’}
, Department{id=’150’, name=’Shareholder Services’}
, Department{id=’260’, name=’Recruiting’}
, Department{id=’220’, name=’NOC’}
, Department{id=’120’, name=’Treasury’}
, Department{id=’190’, name=’Contracting’}
, Department{id=’250’, name=’Retail Sales’}
, Department{id=’270’, name=’Payroll’}
]
122
=destroy=

马哥私房菜博客地址：https://github.com/mageSFC/myblog 

上面的hql发现有重复的数据我们来修改一下hql语句

@Test
public void testHQLLeftJoin(){
    String hql="select distinct d from  Department d left join fetch d.emps";
    Query query = session.createQuery(hql);

    List list = query.list();
    System.out.println(list);
    System.out.println(list.size());

}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

Hibernate:
select
distinct department0_.id as id0_0_,
emps1_.id as id1_1_,
department0_.name as name0_0_,
emps1_.name as name1_1_,
emps1_.salary as salary1_1_,
emps1_.email as email1_1_,
emps1_.dept_id as dept5_1_1_,
emps1_.dept_id as dept5_0_0__,
emps1_.id as id0__
from
hb_department department0_
left outer join
hb_employee emps1_
on department0_.id=emps1_.dept_id
[Department{id=’90’, name=’Executive’}
, Department{id=’60’, name=’IT’}
, Department{id=’100’, name=’Finance’}
, Department{id=’30’, name=’Purchasing’}
, Department{id=’50’, name=’Shipping’}
, Department{id=’80’, name=’Sales’}
, Department{id=’10’, name=’Administration’}
, Department{id=’20’, name=’Marketing’}
, Department{id=’40’, name=’Human Resources’}
, Department{id=’70’, name=’Public Relations’}
, Department{id=’110’, name=’Accounting’}
, Department{id=’160’, name=’Benefits’}
, Department{id=’200’, name=’Operations’}
, Department{id=’230’, name=’IT Helpdesk’}
, Department{id=’140’, name=’Control And Credit’}
, Department{id=’130’, name=’Corporate Tax’}
, Department{id=’240’, name=’Government Sales’}
, Department{id=’170’, name=’Manufacturing’}
, Department{id=’210’, name=’IT Support’}
, Department{id=’180’, name=’Construction’}
, Department{id=’150’, name=’Shareholder Services’}
, Department{id=’260’, name=’Recruiting’}
, Department{id=’220’, name=’NOC’}
, Department{id=’120’, name=’Treasury’}
, Department{id=’190’, name=’Contracting’}
, Department{id=’250’, name=’Retail Sales’}
, Department{id=’270’, name=’Payroll’}
]
27
=destroy=

马哥私房菜博客地址：https://github.com/mageSFC/myblog 

另外一种去除重复元素的方法
把list类型通过hashset过滤一下

@Test
public void testHQLLeftJoin1() {
    String hql = "from  Department d left join fetch d.emps";
    Query query = session.createQuery(hql);

    List list = query.list();
    System.out.println(new LinkedHashSet(list).size());
    System.out.println(list.size());

}


马哥私房菜博客地址：https://github.com/mageSFC/myblog 


左外链接：使用left join 关键字
list()方法返回的集合中存放的是对象数组类型
根据配置文件来决定employee结合的检索策略
如果希望list()方法返回的集合中仅包含department对象，
可以在hql查询语句中使用select关键字


马哥私房菜博客地址：https://github.com/mageSFC/myblog

/**
 * 左外链接：使用left join 关键字
 * list()方法返回的集合中存放的是对象数组类型
 * 根据配置文件来决定employee结合的检索策略
 * 如果希望list()方法返回的集合中仅包含department对象，
 * 可以在hql查询语句中使用select关键字
 */
@Test
public void testHQLLeftJoin2() {
    String hql = "from  Department d left join d.emps";
    Query query = session.createQuery(hql);

    List<Object[]> list = query.list();
    System.out.println(list.size());

    for (Object[] o : list) { //这个出来的是一个数组
        System.out.println(Arrays.asList(o));
    }

    //        System.out.println(list.get(0)[0]);
    //        System.out.println(list.get(0)[1]);


}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

@Test
public void testHQLLeftJoin2() {
    String hql = "select  distinct  d from  Department d left join d.emps";
    Query query = session.createQuery(hql);

    List<Department> list = query.list();
    System.out.println(list.size());

    for (Department department : list) {
        System.out.println(department);
        //System.out.println(department.getEmps());  这里关联department的employee没有被初始化
    }

}


马哥私房菜博客地址：https://github.com/mageSFC/myblog 

----------
HQL (迫切)内连接

迫切内连接：    不返回左表不满足条件的记录
inner join fetch关键字表示迫切内连接，也可以省略inner关键字
list()方法返回的集合中存放department对象的引用，每个department对象的employee集合都被初始化
存放所有关联的employee对象

马哥私房菜博客地址：https://github.com/mageSFC/myblog 

内连接：
inner join关键字表示内连接，也可以省略inner关键字
list()方法的集合中存放的每个元素对应查询结果的一条记录，每个元素都是对象数组类型
如果希望list()方法返回的集合仅包含department对象，可以在HQL查询语句中使用select关键字

马哥私房菜博客地址：https://github.com/mageSFC/myblog

/**
 * 迫切内连接：
 * inner join fetch关键字表示迫切内连接，也可以省略inner关键字
 * list()方法返回的集合中存放department对象的引用，每个department对象的employee集合都被初始化
 * 存放所有关联的employee对象
 * <p>
 * 不返回左表不满足条件的记录
 */
@Test
public void testHQLInnerJoin() {
    String hql = "select  distinct d from  Department d inner join fetch d.emps";
    //  String hql = " from  Department d inner join fetch d.emps";
    Query query = session.createQuery(hql);

    List list = query.list();
    System.out.println(list.size());

}

马哥私房菜博客地址：https://github.com/mageSFC/myblog


马哥私房菜博客地址：https://github.com/mageSFC/myblog 

这里反过来，查询employee，先使用 left join fetch

@Test
public void testHQLJoin() {
    String hql = "select e from  Employee e left join fetch e.dept";
    Query query = session.createQuery(hql);

    List<Employee> list = query.list();
    System.out.println(list.size());

    for (Employee employee : list) {
        System.out.println(employee.getName() + ", " + employee.getDept().getName());
        //System.out.println(employee);
    }

}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

Hibernate:
select
employee0_.id as id1_0_,
department1_.id as id0_1_,
employee0_.name as name1_0_,
employee0_.salary as salary1_0_,
employee0_.email as email1_0_,
employee0_.dept_id as dept5_1_0_,
department1_.name as name0_1_
from
hb_employee employee0_
left outer join
hb_department department1_
on employee0_.dept_id=department1_.id
107
Whalen, Administration
Hartstein, Marketing
Fay, Marketing
Raphaely, Purchasing
Khoo, Purchasing
Baida, Purchasing
Tobias, Purchasing
Himuro, Purchasing
Colmenares, Purchasing
Mavris, Human Resources
Weiss, Shipping
Fripp, Shipping
Kaufling, Shipping
Vollman, Shipping
Mourgos, Shipping
Nayer, Shipping
Mikkilineni, Shipping
Landry, Shipping
Markle, Shipping
Bissot, Shipping
Atkinson, Shipping
Marlow, Shipping
Olson, Shipping
Mallin, Shipping
Rogers, Shipping
Gee, Shipping
Philtanker, Shipping
Ladwig, Shipping
Stiles, Shipping
Seo, Shipping
Patel, Shipping
Rajs, Shipping
Davies, Shipping
Matos, Shipping
Vargas, Shipping
Taylor, Shipping
Fleaur, Shipping
Sullivan, Shipping
Geoni, Shipping
Sarchand, Shipping
Bull, Shipping
Dellinger, Shipping
Cabrio, Shipping
Chung, Shipping
Dilly, Shipping
Gates, Shipping
Perkins, Shipping
Bell, Shipping
Everett, Shipping
McCain, Shipping
Jones, Shipping
Walsh, Shipping
Feeney, Shipping
OConnell, Shipping
Grant, Shipping
Hunold, IT
Ernst, IT
Austin, IT
Pataballa, IT
Lorentz, IT
Baer, Public Relations
Russell, Sales
Partners, Sales
Errazuriz, Sales
Cambrault, Sales
Zlotkey, Sales
Tucker, Sales
Bernstein, Sales
Hall, Sales
Olsen, Sales
Cambrault, Sales
Tuvault, Sales
King, Sales
Sully, Sales
McEwen, Sales
Smith, Sales
Doran, Sales
Sewall, Sales
Vishney, Sales
Greene, Sales
Marvins, Sales
Lee, Sales
Ande, Sales
Banda, Sales
Ozer, Sales
Bloom, Sales
Fox, Sales
Smith, Sales
Bates, Sales
Kumar, Sales
Abel, Sales
Hutton, Sales
Taylor, Sales
Livingston, Sales
Johnson, Sales
King, Executive
Kochhar, Executive
De Haan, Executive
Greenberg, Finance
Faviet, Finance
Chen, Finance
Sciarra, Finance
Urman, Finance
Popp, Finance
Higgins, Accounting
Gietz, Accounting
=destroy=

java.lang.NullPointerException
at com.mamh.hibernate.demo.HibernateHqlTest.testHQLJoin(HibernateHqlTest.java:261)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod $1.runReflectiveCall(FrameworkMethod.java:50) at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12) at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47) at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17) at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26) at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27) at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57) at org.junit.runners.ParentRunner$ 3.run(ParentRunner.java:290)
at org.junit.runners.ParentRunner $1.schedule(ParentRunner.java:71) at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288) at org.junit.runners.ParentRunner.access$ 000(ParentRunner.java:58)
at org.junit.runners.ParentRunner $2.evaluate(ParentRunner.java:268) at org.junit.runners.ParentRunner.run(ParentRunner.java:363) at org.junit.runner.JUnitCore.run(JUnitCore.java:137) at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68) at com.intellij.rt.execution.junit.IdeaTestRunner$ Repeater.startRunnerWithArgs(IdeaTestRunner.java:47)
at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:242)
at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70)

这个情况使用 left join fetch 会出个异常，因为有的人没有部门，就是department是null。
下面改为inner就不会报错了

马哥私房菜博客地址：https://github.com/mageSFC/myblog 
下面改为inner就不会报错了

@Test
public void testHQLJoin() {
    String hql = "select e from  Employee e inner join fetch e.dept";
    Query query = session.createQuery(hql);

    List<Employee> list = query.list();
    System.out.println(list.size());

    for (Employee employee : list) {
        System.out.println(employee.getName() + ", " + employee.getDept().getName());
    }

}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

Hibernate:
select
employee0_.id as id1_0_,
department1_.id as id0_1_,
employee0_.name as name1_0_,
employee0_.salary as salary1_0_,
employee0_.email as email1_0_,
employee0_.dept_id as dept5_1_0_,
department1_.name as name0_1_
from
hb_employee employee0_
inner join
hb_department department1_
on employee0_.dept_id=department1_.id
106
King, Executive
Kochhar, Executive
De Haan, Executive
Hunold, IT
Ernst, IT
Austin, IT
Pataballa, IT
Lorentz, IT
Greenberg, Finance
Faviet, Finance
Chen, Finance
Sciarra, Finance
Urman, Finance
Popp, Finance
Raphaely, Purchasing
Khoo, Purchasing
Baida, Purchasing
Tobias, Purchasing
Himuro, Purchasing
Colmenares, Purchasing
Weiss, Shipping
Fripp, Shipping
Kaufling, Shipping
Vollman, Shipping
Mourgos, Shipping
Nayer, Shipping
Mikkilineni, Shipping
Landry, Shipping
Markle, Shipping
Bissot, Shipping
Atkinson, Shipping
Marlow, Shipping
Olson, Shipping
Mallin, Shipping
Rogers, Shipping
Gee, Shipping
Philtanker, Shipping
Ladwig, Shipping
Stiles, Shipping
Seo, Shipping
Patel, Shipping
Rajs, Shipping
Davies, Shipping
Matos, Shipping
Vargas, Shipping
Russell, Sales
Partners, Sales
Errazuriz, Sales
Cambrault, Sales
Zlotkey, Sales
Tucker, Sales
Bernstein, Sales
Hall, Sales
Olsen, Sales
Cambrault, Sales
Tuvault, Sales
King, Sales
Sully, Sales
McEwen, Sales
Smith, Sales
Doran, Sales
Sewall, Sales
Vishney, Sales
Greene, Sales
Marvins, Sales
Lee, Sales
Ande, Sales
Banda, Sales
Ozer, Sales
Bloom, Sales
Fox, Sales
Smith, Sales
Bates, Sales
Kumar, Sales
Abel, Sales
Hutton, Sales
Taylor, Sales
Livingston, Sales
Johnson, Sales
Taylor, Shipping
Fleaur, Shipping
Sullivan, Shipping
Geoni, Shipping
Sarchand, Shipping
Bull, Shipping
Dellinger, Shipping
Cabrio, Shipping
Chung, Shipping
Dilly, Shipping
Gates, Shipping
Perkins, Shipping
Bell, Shipping
Everett, Shipping
McCain, Shipping
Jones, Shipping
Walsh, Shipping
Feeney, Shipping
OConnell, Shipping
Grant, Shipping
Whalen, Administration
Hartstein, Marketing
Fay, Marketing
Mavris, Human Resources
Baer, Public Relations
Higgins, Accounting
Gietz, Accounting
=destroy=

Process finished with exit code 0

马哥私房菜博客地址：https://github.com/mageSFC/myblog 
如果使用inner join呢？就是不加fetch情况。是不会初始化集合的，

@Test
public void testHQLJoin() {
    String hql = "select e from  Employee e inner join  e.dept";
    Query query = session.createQuery(hql);

    List<Employee> list = query.list();
    System.out.println(list.size());

    for (Employee employee : list) {
        System.out.println(employee.getName() + ", " + employee.getDept().getName());
    }

}

马哥私房菜博客地址：https://github.com/mageSFC/myblog

Hibernate:
select
employee0_.id as id1_,
employee0_.name as name1_,
employee0_.salary as salary1_,
employee0_.email as email1_,
employee0_.dept_id as dept5_1_
from
hb_employee employee0_
inner join
hb_department department1_
on employee0_.dept_id=department1_.id
106
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
King, Executive
Kochhar, Executive
De Haan, Executive
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Hunold, IT
Ernst, IT
Austin, IT
Pataballa, IT
Lorentz, IT
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Greenberg, Finance
Faviet, Finance
Chen, Finance
Sciarra, Finance
Urman, Finance
Popp, Finance
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Raphaely, Purchasing
Khoo, Purchasing
Baida, Purchasing
Tobias, Purchasing
Himuro, Purchasing
Colmenares, Purchasing
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Weiss, Shipping
Fripp, Shipping
Kaufling, Shipping
Vollman, Shipping
Mourgos, Shipping
Nayer, Shipping
Mikkilineni, Shipping
Landry, Shipping
Markle, Shipping
Bissot, Shipping
Atkinson, Shipping
Marlow, Shipping
Olson, Shipping
Mallin, Shipping
Rogers, Shipping
Gee, Shipping
Philtanker, Shipping
Ladwig, Shipping
Stiles, Shipping
Seo, Shipping
Patel, Shipping
Rajs, Shipping
Davies, Shipping
Matos, Shipping
Vargas, Shipping
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Russell, Sales
Partners, Sales
Errazuriz, Sales
Cambrault, Sales
Zlotkey, Sales
Tucker, Sales
Bernstein, Sales
Hall, Sales
Olsen, Sales
Cambrault, Sales
Tuvault, Sales
King, Sales
Sully, Sales
McEwen, Sales
Smith, Sales
Doran, Sales
Sewall, Sales
Vishney, Sales
Greene, Sales
Marvins, Sales
Lee, Sales
Ande, Sales
Banda, Sales
Ozer, Sales
Bloom, Sales
Fox, Sales
Smith, Sales
Bates, Sales
Kumar, Sales
Abel, Sales
Hutton, Sales
Taylor, Sales
Livingston, Sales
Johnson, Sales
Taylor, Shipping
Fleaur, Shipping
Sullivan, Shipping
Geoni, Shipping
Sarchand, Shipping
Bull, Shipping
Dellinger, Shipping
Cabrio, Shipping
Chung, Shipping
Dilly, Shipping
Gates, Shipping
Perkins, Shipping
Bell, Shipping
Everett, Shipping
McCain, Shipping
Jones, Shipping
Walsh, Shipping
Feeney, Shipping
OConnell, Shipping
Grant, Shipping
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Whalen, Administration
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Hartstein, Marketing
Fay, Marketing
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Mavris, Human Resources
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Baer, Public Relations
Hibernate:
select
department0_.id as id0_0_,
department0_.name as name0_0_
from
hb_department department0_
where
department0_.id=?
Higgins, Accounting
Gietz, Accounting
=destroy=