AI-Chapter 3 Database Storage and Schema Objects

数据库约束详解
本文深入探讨了数据库中的各种约束类型,包括唯一约束、主键约束、外键约束等,并介绍了如何创建这些约束以及它们的工作原理。此外,还讲解了检查约束的具体用法以及索引的维护方法。

UNIQUE: NULL values do not count as a distinct value, so this employees table can have multiple rows with a NULL . -167

 

PRIMARY KEY: A PRIMARY KEY constraint implicitly includes both NOT NULL
constraints on each column
. -168

 

FOREIGN KEY:When you declare a FOREIGN KEY constraint, you identify the columns in one table whose values must also appear in the primary key or unique key of another table. -169

 

As with UNIQUE and PRIMARY KEY constraints, FOREIGN KEY constraints cannot be
created on columns of type CLOB, NCLOB, BLOB, LONG, LONG RAW, or TIMESTAMP WITH
TIMEZONE.
-169

CREATE TABLE departments
(dept_nbr NUMBER NOT NULL
CONSTRAINT department_pk PRIMARY KEY
,dept_name VARCHAR2(32)
,manager_id NUMBER
);
CREATE TABLE employees
(employee_id NUMBER NOT NULL
,hire_date DATE NOT NULL
,first_name VARCHAR2(42)
,last_name VARCHAR2(42)
,payroll_id VARCHAR2(10)
,dept_nbr NUMBER
,CONSTRAINT uniq_payroll_id UNIQUE (payroll_id)
USING INDEX TABLESPACE indx
,CONSTRAINT employees_pk PRIMARY KEY (employee_id)
USING INDEX TABLESPACE indx
,CONSTRAINT emp_dept_fk FOREIGN KEY (dept_nbr)
REFERENCES departments(dept_nbr)
);
 

 

 

 

By default, FOREIGN KEYs allow NULLs.  -169

 

To delete rows from a parent table if those rows are referenced in the child table.

By deleting the child rows and specifying ON DELETE CASCADE -170

ALTER TABLE employees
ADD CONSTRAINT emp_dept_fk FOREIGN KEY (dept_nbr)
REFERENCES departments(dept_nbr) ON DELETE CASCADE;
   

 

By setting the columns in the child table to NULL with the ON DELETE SET NULL clause -170

ALTER TABLE departments ADD CONSTRAINT
dept_mgr_fk FOREIGN KEY (manager_id) REFERENCES
employees(employee_id) ON DELETE SET NULL;
 

 

 

When you create a constraint, you can tell the database to allow either immediate or
deferred constraint checking by specifying the keyword DEFERRABLE. If you normally want
a DEFERRABLE constraint to be deferred, create it with the INITIALLY DEFERRED option.
Only DEFERRABLE constraints can be set to INITIALLY DEFERRED. Once you create a
constraint, you cannot change its deferability (for example, from NOT DEFERRABLE to
DEFERABLE); instead, you must drop and re-create the constraint with the new specification.
-171

 

ALTER TABLE employees
ADD CONSTRAINT emp_dept_fk FOREIGN KEY (dept_nbr)
REFERENCES departments(dept_nbr) ON DELETE CASCADE
DEFERRABLE;
 

 

 

ALTER TABLE departments ADD CONSTRAINT
dept_mgr_fk FOREIGN KEY (manager_id) REFERENCES
employees(employee_id) ON DELETE SET NULL
DEFERRABLE INITIALLY DEFERRED;
 

 

 

CHECK:CHECK constraints verify that a column or set of column values meet a specific condition that must evaluate to a Boolean. -171

ALTER TABLE employees ADD CONSTRAINT
validate_hire_date CHECK
(hire_date > TO_DATE('15-Apr-1999','DD-Mon-YYYY'));
 

 

 

Take care in disabling UNIQUE or PRIMARY KEY constraints because disabling these
constraints results in the supporting index being dropped (unless you also specify KEEP INDEX.
-171

 

If FOREIGN KEY constraints reference your PRIMARY KEY or UNIQUE constraint, you need to drop these dependent constraints before or in conjunction (using the CASCADE keyword) with the PRIMARY KEY constraint:   -172

ALTER TABLE employees DROP PRIMARY KEY CASCADE;
 

 

 

To rebuild an index, which will shrink its size and possibly reduce the Btree depth (making
it more efficient), use a REBUILD clause, like this
. -173
ALTER INDEX emp_seniority REBUILD;

 

 

COALESCE INDEX vs REBUILD INDEX

 

REF: http://space.itpub.net/10714335/viewspace-441096

 

Q: Does an Index Coalesce basically accomplish what an Index Rebuild Online?

A:

No. An offline index rebuild essentially does the following:

  1. Lock the table
  2. Create a new, temporary, index by reading against the contents of the existing index
  3. Drops the original index
  4. Renames the temporary index to make it seem to be the original index
  5. Remove the table lock.

An online index rebuild basically does this:

  1. Lock the table
  2. Create a new, temporary and empty, index and an IOT to store on-going DML
  3. Release the table lock
  4. Populate the temporary index by reading against the contents of the existing index
  5. Merge contents of the IOT in with the new index
  6. Lock the table
  7. Final merge from IOT and drop the original index
  8. Renames the temporary index to make it seem to be the original index
  9. Remove the table lock.

And a coalesce does this:

  1. Scan along the base of the index
  2. Where adjacent nodes can be combined into a single node, do so

That's it. There's no table locking. There's no new index created. There's no reduction in the size of the index, therefore. Just adjacent nodes which are mostly-full of empty space merged into a single, well-filled node, leaving a totally empty node now available for fresh inserts.

Q: Is it faster? Slower? Lower-impact? Logged?

A:

Yes, it's faster because it's not doing so much. Yes, it's lower-impact because there's no table locking (even an online rebuild takes exclusive table locks. Twice.) Yes, it's logged because you're modifying the contents of the index blocks.

 

CREATE OR REPLACE VIEW empv
(employee_name
,department
,manager
,hire_date
) AS SELECT
E.first_name||' '||E.last_name
,D.dept_name
,M.first_name||' '||M.last_name
,E.hire_date
FROM employees E
,departments D
,employees M
WHERE E.dept_nbr = D.dept_nbr
AND D.manager_id = M.employee_id
;
 

提供了基于BP(Back Propagation)神经网络结合PID(比例-积分-微分)控制策略的Simulink仿真模型。该模型旨在实现对杨艺所著论文《基于S函数的BP神经网络PID控制器及Simulink仿真》中的理论进行实践验证。在Matlab 2016b环境下开发,经过测试,确保能够正常运行,适合学习和研究神经网络在控制系统中的应用。 特点 集成BP神经网络:模型中集成了BP神经网络用于提升PID控制器的性能,使之能更好地适应复杂控制环境。 PID控制优化:利用神经网络的自学习能力,对传统的PID控制算法进行了智能调整,提高控制精度和稳定性。 S函数应用:展示了如何在Simulink中通过S函数嵌入MATLAB代码,实现BP神经网络的定制化逻辑。 兼容性说明:虽然开发于Matlab 2016b,但理论上兼容后续版本,可能会需要调整少量配置以适配不同版本的Matlab。 使用指南 环境要求:确保你的电脑上安装有Matlab 2016b或更高版本。 模型加载: 下载本仓库到本地。 在Matlab中打开.slx文件。 运行仿真: 调整模型参数前,请先熟悉各模块功能和输入输出设置。 运行整个模型,观察控制效果。 参数调整: 用户可以自由调节神经网络的层数、节点数以及PID控制器的参数,探索不同的控制性能。 学习和修改: 通过阅读模型中的注释和查阅相关文献,加深对BP神经网络与PID控制结合的理解。 如需修改S函数内的MATLAB代码,建议有一定的MATLAB编程基础。
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