2014-06-02 Created By BaoXinjian

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAABcAAAAYCAIAAACeHvEiAAABKElEQVQ4jdXTP0sCcRzH8e+gj0Cfg5A+A5faRcjRoeBGQaih7s41Ua5zqcHCIUHBWgTFB+ByttogKC62dZuSQU2+Wzz6R915GtSHz/zi9/3AT9hEZJPKYvHor/9UERGfCnchBhGGcSaKiGAbzNrMLZ5HKylhBhFGce4VEeHBYNbyoYSWyuSd8mTxso5iG0xbzHurKuHPiseLKJfJ5chm2dtfKkNnF/uUqUelVqNQQFPJZEgm2dkOBohFEZHULpqGaVKtctvjR6XZ5Oyc/AlHx6TTJBLBALEtR1EpmVSv6LkolsXNNZUKpRKHByjKB0XzqPT7dDo0GlxeiFu+V8Zjul3abep1ikV0PRgg6uyiO29x2eVr39ZNoauYXi7a/G/02F9Q1sxfUl4B0Tm4khj4iNYAAAAASUVORK5CYII=" alt="" />1. 最简单例子


(1).SQL

 DECLARE
l_sql_text VARCHAR (1000);
TYPE c_type_wip_entity IS REF CURSOR;
c_wip_entity c_type_wip_entity;
r_wip_entity wip_entities%ROWTYPE;
BEGIN
l_sql_text :='select * from wip_entities'
|| ' where wip_entity_id in ('|| ''''|| '' || ''','' '|| ''|| ''')'; DBMS_OUTPUT.put_line (l_sql_text);
OPEN c_wip_entity FOR l_sql_text;
LOOP
FETCH c_wip_entity INTO r_wip_entity;
EXIT WHEN c_wip_entity%NOTFOUND;
DBMS_OUTPUT.put_line ('Job Name-->' || r_wip_entity.wip_entity_name);
END LOOP;
END;

(2).DBMS Output

aaarticlea/png;base64,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" alt="" />

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAABcAAAAYCAIAAACeHvEiAAABKElEQVQ4jdXTP0sCcRzH8e+gj0Cfg5A+A5faRcjRoeBGQaih7s41Ua5zqcHCIUHBWgTFB+ByttogKC62dZuSQU2+Wzz6R915GtSHz/zi9/3AT9hEZJPKYvHor/9UERGfCnchBhGGcSaKiGAbzNrMLZ5HKylhBhFGce4VEeHBYNbyoYSWyuSd8mTxso5iG0xbzHurKuHPiseLKJfJ5chm2dtfKkNnF/uUqUelVqNQQFPJZEgm2dkOBohFEZHULpqGaVKtctvjR6XZ5Oyc/AlHx6TTJBLBALEtR1EpmVSv6LkolsXNNZUKpRKHByjKB0XzqPT7dDo0GlxeiFu+V8Zjul3abep1ikV0PRgg6uyiO29x2eVr39ZNoauYXi7a/G/02F9Q1sxfUl4B0Tm4khj4iNYAAAAASUVORK5CYII=" alt="" />2. 动态语句结合批处理


(1).SQL

 DECLARE
i NUMBER;
l_sql_text VARCHAR (1000);
TYPE c_type_wip_entity IS TABLE OF wip_entities%ROWTYPE;
c_wip_entity c_type_wip_entity;
p_wip_entity_id NUMBER := 2363;
BEGIN
l_sql_text := 'select * from wip_entities where wip_entity_id = :wip_entity_id';
EXECUTE IMMEDIATE l_sql_text
BULK COLLECT INTO c_wip_entity
USING p_wip_entity_id;
FOR i IN 1 .. c_wip_entity.COUNT
LOOP
DBMS_OUTPUT.put_line (c_wip_entity (i).wip_entity_name);
END LOOP;
END;

(2).DBMS Output

aaarticlea/png;base64,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" alt="" />

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAABcAAAAYCAIAAACeHvEiAAABKElEQVQ4jdXTP0sCcRzH8e+gj0Cfg5A+A5faRcjRoeBGQaih7s41Ua5zqcHCIUHBWgTFB+ByttogKC62dZuSQU2+Wzz6R915GtSHz/zi9/3AT9hEZJPKYvHor/9UERGfCnchBhGGcSaKiGAbzNrMLZ5HKylhBhFGce4VEeHBYNbyoYSWyuSd8mTxso5iG0xbzHurKuHPiseLKJfJ5chm2dtfKkNnF/uUqUelVqNQQFPJZEgm2dkOBohFEZHULpqGaVKtctvjR6XZ5Oyc/AlHx6TTJBLBALEtR1EpmVSv6LkolsXNNZUKpRKHByjKB0XzqPT7dDo0GlxeiFu+V8Zjul3abep1ikV0PRgg6uyiO29x2eVr39ZNoauYXi7a/G/02F9Q1sxfUl4B0Tm4khj4iNYAAAAASUVORK5CYII=" alt="" />3. 动态更新语句


(1).SQL

 DECLARE
l_sql_text VARCHAR (1000);
BEGIN
l_sql_text := 'update cux_wf_demo_documents set note= ' || '''Test''' || ' where document_id= :document_id';
EXECUTE IMMEDIATE l_sql_text
USING 1;
DBMS_OUTPUT.put_line (l_sql_text);
END;

(2).DBMS Output

aaarticlea/png;base64,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" alt="" />

Thanks and Regarads

aaarticlea/png;base64,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" alt="" />

PLSQL_动态语句的解析(概念)的更多相关文章

  1. 【转】Oracle 执行动态语句

    1.静态SQLSQL与动态SQL Oracle编译PL/SQL程序块分为两个种:其一为前期联编(early binding),即SQL语句在程序编译期间就已经确定,大多数的编译情况属于这种类型:另外一 ...

  2. mybatis源码-Mapper解析之SQL 语句节点解析(一条语句对应一个MappedStatement)

    目录 一起学 mybatis 0 <sql> 节点解析 1 解析流程 2 节点解析 2.1 解析流程 2.2 <include> 节点的解析 2.3 Node.ELEMENT_ ...

  3. JDK的动态代理深入解析(Proxy,InvocationHandler)(转)

    JDK的动态代理深入解析(Proxy,InvocationHandler)(转) 一.什么是动态代理 动态代理可以提供对另一个对象的访问,同时隐藏实际对象的具体事实.代理一般会实现它所表示的实际对象的 ...

  4. mybatis源码学习(四):动态SQL的解析

    之前的一片文章中我们已经了解了MappedStatement中有一个SqlSource字段,而SqlSource又有一个getBoundSql方法来获得BoundSql对象.而BoundSql中的sq ...

  5. sql查询语句如何解析成分页查询?

    我们公司主要mysql存储数据,因此也封装了比较好用mysql通用方法,然后,我们做大量接口,在处理分页查询接口,没有很好分查询方法.sql查询 语句如何解析成“分页查询”和“总统计”两条语句.可能, ...

  6. sql 动态语句

    如果动态语句有表变量 例子如下: declare @mS varchar(10) declare @mE varchar(10) declare @mSQL nvarchar(500) --SQL语句 ...

  7. oracle过程中动态语句实现

    oracle过程中动态语句实现 一般的PL/SQL程序设计中,在DML和事务控制的语句中可以直接使用SQL,但是DDL语句及系统控制语句却不能在PL/SQL中直接使用,要想实现在PL/SQL中使用DD ...

  8. [SAP ABAP开发技术总结]动态语句、动态程序

    声明:原创作品,转载时请注明文章来自SAP师太技术博客( 博/客/园www.cnblogs.com):www.cnblogs.com/jiangzhengjun,并以超链接形式标明文章原始出处,否则将 ...

  9. ORACLE之SQL语句内部解析过程【weber出品】

    一.客户端通过监听连接到数据库,数据库开启一个server process进程来接收客户端传过来的sql. 1.这条sql语句从来都没有被执行过.(硬解析) 2.这条sql语句被执行过.(软解析) 二 ...

随机推荐

  1. go语言基础之结构体做函数参数 值传递和地址传递

    1.结构体做函数参数值传递 示例: package main //必须有个main包 import "fmt" //定义一个结构体类型 type Student struct { ...

  2. GoLang中如何使用多参数属性传参

    我们常常因为传入的参数不确定而头疼不已,golang 为我们提供了接入多值参数用于解决这个问题.但是一般我们直接写已知代码即所有的值都知道一个一个塞进去就好了,但是绝大部分我们是得到用户的大量输入想通 ...

  3. Android4.2.2 Gallery2源码分析(4)——GLCanvas.java

    首先申明,找到这个类是在GLRootView.java中发现的线索.这是一个接口,源码中对该接口作了详细的说明: // // GLCanvas gives a convenient interface ...

  4. mysql 错误:1166 解决办法

    原因:检查字段里面是不是有空格,去掉就可以了

  5. 程序员们必备的10款免费jquery插件

    本周带来10款免费的jquery插件.如果你也有好的作品,欢迎分享到社区中来,在得到帮助的同时,也能与更多人分享来自你的作品. jQuery导航菜单置顶插件 - stickyUp . 在线演示 sti ...

  6. swift语言实现单例模式

    Swift实现单例模式 单例模式在各个语言中都有实现,swift语言推出已经几天了.通过这几天的看文档.特奉上写的Swift的单例实现,供大家学习交流,欢迎指正. ---若转载请注明出处,本人Gith ...

  7. windows系统上安装Redis,并且设置Redis密码

    一.Windows版本的Redis下载 下载地址:https://github.com/MSOpenTech/redis/releases 我下载的是最新版的3.2 二.安装Redis 我下载的是安装 ...

  8. linux下apache的使用

    Linux安装配置apache http://www.cnblogs.com/fly1988happy/archive/2011/12/14/2288064.html 1.获取软件: http://h ...

  9. jdbc详解(一)

    JDBC简介 l 数据库驱动 SUN公司为了简化.统一对数据库的操作,定义了一套Java操作数据库的规范,称之为JDBC l JDBC 全称为: Java Data Base Connectivity ...

  10. Hibernate(九)HQL查询

    一.Hibernate提供的查询方式 OID查询方式:主键查询.通过get()或者load()方法加载指定OID的对象查询结果为一个 HQL查询方式:通过Query接口使用HQL语言进行查询 QBC查 ...