Oracle中SQL Server APPLY的等效项是什么? [英] What is the equivalent of SQL Server APPLY in Oracle?

问题描述

我是Oracle新手.是否有内置关键字可以执行SQL Server APPLY的相同工作?

I am new to Oracle. Is there a builtin keyword does the same job of SQL Server APPLY?

推荐答案

我认为Oracle中APPLY子句的等效项称为侧向JOIN.在Oracle中，横向联接是指使用功能F将表A连接到表A，该功能F输出行，并且该函数将A的列作为参数.

I think the equivalent of the APPLY clause in Oracle is called a lateral JOIN. A lateral join in Oracle is when you join a table A with a function F that outputs rows and this function has columns of A as parameters.

让我们使用此设置构建一个小示例:

Let's build a small example with this setup:

SQL> CREATE OR REPLACE TYPE emp_row AS OBJECT (
  2     empno NUMBER(4),
  3     ename VARCHAR(10),
  4     job VARCHAR(9),
  5     deptno NUMBER(2)
  6  );
  7  /

Type created
SQL> CREATE OR REPLACE TYPE emp_tab AS TABLE OF emp_row;
  2  /

Type created
SQL> CREATE OR REPLACE FUNCTION get_emp_dept(p_deptno NUMBER) RETURN emp_tab IS
  2     l_result emp_tab;
  3  BEGIN
  4     SELECT emp_row(empno, ename, job, deptno)
  5       BULK COLLECT INTO l_result
  6       FROM emp
  7      WHERE deptno = p_deptno;
  8     RETURN l_result;
  9  END get_emp_dept;
 10  /

Function created

Oracle中的横向联接是自动的，没有特殊关键字:

A lateral join is automatic in Oracle, there is no special keyword:

SQL> SELECT dept.dname, emp.empno, emp.ename, emp.job
  2    FROM dept
  3   CROSS JOIN TABLE(get_emp_dept(dept.deptno)) emp;

DNAME          EMPNO ENAME      JOB
-------------- ----- ---------- ---------
ACCOUNTING      7782 CLARK      MANAGER
ACCOUNTING      7839 KING       PRESIDENT
ACCOUNTING      7934 MILLER     CLERK
RESEARCH        7369 SMITH      CLERK
RESEARCH        7566 JONES      MANAGER
RESEARCH        7788 SCOTT      ANALYST
RESEARCH        7876 ADAMS      CLERK
RESEARCH        7902 FORD       ANALYST
SALES           7499 ALLEN      SALESMAN
SALES           7521 WARD       SALESMAN
SALES           7654 MARTIN     SALESMAN
SALES           7698 BLAKE      MANAGER
SALES           7844 TURNER     SALESMAN
SALES           7900 JAMES      CLERK

14 rows selected

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