您会考虑使用 PIPELINED 功能来实现您的目标吗?
我写了一个这样的函数的例子。该示例基于PIVOT
Tom Kyte 的文章中的表格、示例数据和查询,您可以在他的网站上找到这些文章:
Tom Kyte 关于 PIVOT/UNPIVOT 的文章
Tom Kyte 关于 PIPELINED 函数的文章
该示例的工作原理如下。
我们创建两种类型:
- t_pivot_test_obj - 包含我们要从 XML 检索的列的类型
- t_pivot_test_obj_tab - 上述对象的嵌套表类型。
然后我们创建一个 PIPELINED 函数,其中包含带有 的查询PIVOT
,该查询生成 XML(因此您不必硬编码要透视的值)。此函数从生成的 XML 中提取数据,并在生成时将 (PIPE) 行传递给调用查询(动态 - 它们不会一次全部生成,这对性能很重要)。
最后,您编写一个从该函数中选择记录的查询(最后是此类查询的示例)。
CREATE TABLE pivot_test (
id NUMBER,
customer_id NUMBER,
product_code VARCHAR2(5),
quantity NUMBER
);
INSERT INTO pivot_test VALUES (1, 1, 'A', 10);
INSERT INTO pivot_test VALUES (2, 1, 'B', 20);
INSERT INTO pivot_test VALUES (3, 1, 'C', 30);
INSERT INTO pivot_test VALUES (4, 2, 'A', 40);
INSERT INTO pivot_test VALUES (5, 2, 'C', 50);
INSERT INTO pivot_test VALUES (6, 3, 'A', 60);
INSERT INTO pivot_test VALUES (7, 3, 'B', 70);
INSERT INTO pivot_test VALUES (8, 3, 'C', 80);
INSERT INTO pivot_test VALUES (9, 3, 'D', 90);
INSERT INTO pivot_test VALUES (10, 4, 'A', 100);
COMMIT;
CREATE TYPE t_pivot_test_obj AS OBJECT (
customer_id NUMBER,
product_code VARCHAR2(5),
sum_quantity NUMBER
);
/
CREATE TYPE t_pivot_test_obj_tab IS TABLE OF t_pivot_test_obj;
/
CREATE OR REPLACE FUNCTION extract_from_xml RETURN t_pivot_test_obj_tab PIPELINED
AS
v_xml XMLTYPE;
v_item_xml XMLTYPE;
v_index NUMBER;
v_sum_quantity NUMBER;
CURSOR c_customer_items IS
SELECT customer_id, product_code_xml
FROM (SELECT customer_id, product_code, quantity
FROM pivot_test)
PIVOT XML (SUM(quantity) AS sum_quantity FOR (product_code) IN (SELECT DISTINCT product_code
FROM pivot_test));
BEGIN
-- loop through all records returned by query with PIVOT
FOR v_rec IN c_customer_items
LOOP
v_xml := v_rec.product_code_xml;
v_index := 1;
-- loop through all ITEM elements for each customer
LOOP
v_item_xml := v_xml.EXTRACT('/PivotSet/item[' || v_index || ']');
EXIT WHEN v_item_xml IS NULL;
v_index := v_index + 1;
IF v_item_xml.EXTRACT('/item/column[@name="SUM_QUANTITY"]/text()') IS NOT NULL THEN
v_sum_quantity := v_item_xml.EXTRACT('/item/column[@name="SUM_QUANTITY"]/text()').getNumberVal();
ELSE
v_sum_quantity := 0;
END IF;
-- finally, for each customer and item - PIPE the row to the calling query
PIPE ROW(t_pivot_test_obj(v_rec.customer_id,
v_item_xml.EXTRACT('/item/column[@name="PRODUCT_CODE"]/text()').getStringVal(),
v_sum_quantity));
END LOOP;
END LOOP;
END;
/
SELECT customer_id, product_code, sum_quantity
FROM TABLE(extract_from_xml())
;
输出:
CUSTOMER_ID PRODUCT_CODE SUM_QUANTITY
---------------------- ------------ ----------------------
1 A 10
1 B 20
1 C 30
1 D 0
2 A 40
2 B 0
2 C 50
2 D 0
3 A 60
3 B 70
3 C 80
3 D 90
4 A 100
4 B 0
4 C 0
4 D 0
16 rows selected