Home Database Mysql Tutorial #ORACLE 每日一点#Oracle CONNECT BY 使用

#ORACLE 每日一点#Oracle CONNECT BY 使用

Jun 07, 2016 pm 03:27 PM
connect

Oracle “CONNECT BY”是层次查询子句,一般用于树状或者层次结果集的查询。其语法是: [ START WITHcondition ]CONNECT BY [ NOCYCLE ] condition The start with .. connect by clause can be used to select data that has a hierarchical relationship (

Oracle “CONNECT BY”是层次查询子句,一般用于树状或者层次结果集的查询。其语法是:

[ START WITHcondition ]
CONNECT BY [ NOCYCLE ] condition 

Copy after login

 

The start with .. connect by clause can be used to select data that has a hierarchical relationship (usually some sort of parent->child (boss->employee or thing->parts). 

说明:
1. START WITH:告诉系统以哪个节点作为根结点开始查找并构造结果集,该节点即为返回记录中的最高节点。
2. 当分层查询中存在上下层互为父子节点的情况时,会返回ORA-01436错误。此时,需要在connect by后面加上NOCYCLE关键字。同时,可用connect_by_iscycle伪列定位出存在互为父子循环的具体节点。 connect_by_iscycle必须要跟关键字NOCYCLE结合起来使用

接下来,用一些示例来说明“CONNECT BY”的用法。

 

例1

创建一个部门表,这个表有三个字段,分别对应部门ID,部门名称,以及上级部门ID

-- Create table 
create table DEP 
( 
  DEPID      number(10)notnull,
  DEPNAME    varchar2(256),
  UPPERDEPID number(10)
) 
; 

Copy after login

 

初始化一些数据

SQL> INSERT INTO DEP(DEPID, DEPNAME, UPPERDEPID)VALUES(0,'总经办',null);
1 row inserted 
  
SQL> INSERT INTO DEP(DEPID, DEPNAME, UPPERDEPID)VALUES(1,'开发部', 0);
1 row inserted 
  
SQL> INSERT INTO DEP(DEPID, DEPNAME, UPPERDEPID)VALUES(2,'测试部', 0);
1 row inserted 
  
SQL> INSERT INTO DEP(DEPID, DEPNAME, UPPERDEPID)VALUES(3,'Sever开发部', 1);
1 row inserted 
  
SQL> INSERT INTO DEP(DEPID, DEPNAME, UPPERDEPID)VALUES(4,'Client开发部', 1);
1 row inserted 
  
SQL> INSERT INTO DEP(DEPID, DEPNAME, UPPERDEPID)VALUES(5,'TA测试部', 2);
1 row inserted 
  
SQL> INSERT INTO DEP(DEPID, DEPNAME, UPPERDEPID)VALUES(6,'项目测试部', 2);
1 row inserted 
  
SQL> commit;
Commit complete 

Copy after login
SQL> SELECT * FROM DEP; 
  
      DEPID DEPNAME                                                                           UPPERDEPID
----------- -------------------------------------------------------------------------------- -----------
          0 General Deparment                                                                
          1 Development                                                                                0
          2 QA                                                                                         0
          3 Server Development                                                                         1
          4 Client Development                                                                         1
          5 TA                                                                                         2
          6 Porject QA                                                                                 2
  
7 rowsselected 

Copy after login


现在我要根据“CONNECT BY”来实现树状查询结果

 

SQL> SELECT RPAD(' ', 2*(LEVEL-1),'-') || DEPNAME "DEPNAME",
CONNECT_BY_ROOT DEPNAME "ROOT",
CONNECT_BY_ISLEAF "ISLEAF", 
LEVEL , 
SYS_CONNECT_BY_PATH(DEPNAME,'/')"PATH"
FROM DEP 
START WITH UPPERDEPID IS NULL
CONNECT BY PRIOR DEPID = UPPERDEPID;
  
DEPNAME                        ROOT                    ISLEAF     LEVELPATH
------------------------------ ------------------- ---------- ---------- --------------------------------------------------------------------------------
General Deparment              General Deparment            0          1 /General Deparment
 -Development                  General Deparment            0          2 /General Deparment/Development
 ---Server Development         General Deparment            1          3 /General Deparment/Development/Server Development
 ---Client Development         General Deparment            1          3 /General Deparment/Development/Client Development
 -QA                           General Deparment            0          2 /General Deparment/QA
 ---TA                         General Deparment            1          3 /General Deparment/QA/TA
 ---Porject QA                 General Deparment            1          3 /General Deparment/QA/Porject QA
                                                     
7 rowsselected 

Copy after login

 

1. CONNECT_BY_ROOT 返回当前节点的最顶端节点
2. CONNECT_BY_ISLEAF 判断是否为叶子节点,如果这个节点下面有子节点,则不为叶子节点
3. LEVEL 伪列表示节点深度
4. SYS_CONNECT_BY_PATH函数显示详细路径,并用“/”分隔

例2

通过CONNECT BY生成序列

SQL> SELEC TROWNUM FROM DUAL CONNECT BY ROWNUM <br>


<p><strong><span>例3</span></strong></p>
<p>通过CONNECT BY用于十六进度转换为十进制</p>
<p>
</p><p>
</p><p></p><pre class="brush:php;toolbar:false">CREATE OR REPLACE FUNCTION f_hex_to_dec(p_strINVARCHAR2)RETURN VARCHAR2 IS
    ----------------------------------------------------------------------------------------------------------------------
    -- 对象名称: f_hex_to_dec
    -- 对象描述: 十六进制转换十进制
    -- 输入参数: p_str 十六进制字符串
    -- 返回结果: 十进制字符串
    -- 测试用例: SELECT f_hex_to_dec('78A') FROM dual;
    ----------------------------------------------------------------------------------------------------------------------
    v_return  VARCHAR2(4000);
  BEGIN
    SELECT SUM(DATA)INTO v_return
      FROM(SELECT (CASEupper(substr(p_str, rownum, 1))
                     WHEN'A'THEN'10'
                     WHEN'B'THEN'11'
                     WHEN'C'THEN'12'
                     WHEN'D'THEN'13'
                     WHEN'E'THEN'14'
                     WHEN'F'THEN'15'
                     ELSE substr(p_str, rownum, 1)
                   END) * power(16, length(p_str) - rownum) DATA
              FROM dual
            CONNECT BY rownum <br>



<blockquote>
<p>说明:</p>
<p>1. CONNECT BY rownum 
</p>
<p>2. 通过CASE语句,来解析十六进制中的A-F对应的10进制值</p>
</blockquote>
<br>
<br>
<p><br>
</p>


Copy after login
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1655
14
PHP Tutorial
1252
29
C# Tutorial
1226
24
When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

RDS MySQL integration with Redshift zero ETL RDS MySQL integration with Redshift zero ETL Apr 08, 2025 pm 07:06 PM

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Laravel Eloquent ORM in Bangla partial model search) Laravel Eloquent ORM in Bangla partial model search) Apr 08, 2025 pm 02:06 PM

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

MySQL: The Ease of Data Management for Beginners MySQL: The Ease of Data Management for Beginners Apr 09, 2025 am 12:07 AM

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.

See all articles