使用分析函数,我希望列“总和”包含上一列的累积值。
但是我的代码得到了所有遭遇的总和。
这是用于测试的表格和数据:
CREATE TABLE users (
user_id INT PRIMARY KEY,
name CHARACTER VARYING(50)
);
CREATE TABLE orders_catalog (
order_code INT PRIMARY KEY,
order_desc CHARACTER VARYING(50) NOT NULL,
cost REAL NOT NULL
);
CREATE TABLE encounter (
encounter_id INT PRIMARY KEY,
user_id INT NOT NULL,
encounter_type CHARACTER VARYING(50) NOT NULL,
CONSTRAINT FK_encounter FOREIGN KEY (user_id) REFERENCES users(user_id)
);
CREATE TABLE orders (
order_id INT PRIMARY KEY,
order_code INT NOT NULL,
encounter_id INT NOT NULL,
created_dt TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT FK_orders_catalog FOREIGN KEY (order_code) REFERENCES orders_catalog (order_code),
CONSTRAINT FK_orders_encounter FOREIGN KEY (encounter_id) REFERENCES encounter(encounter_id)
);
--
INSERT INTO users(user_id, name) VALUES(1, 'Peter');
INSERT INTO users(user_id, name) VALUES(2, 'Charles');
INSERT INTO users(user_id, name) VALUES(3, 'Eva') ;
INSERT INTO users(user_id, name) VALUES(4, 'John');
INSERT INTO users(user_id, name) VALUES(5, 'Helene');
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10000, 'Painting', 100.34);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10001, 'Painting', 214.11);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10002, 'Painting', 214.11);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10003, 'Spare part', 181.03);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10004, 'Sheet metal', 168.18);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10005, 'Sheet metal', 240.02);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10006, 'Sheet metal', 240.02);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10007, 'Electricity', 146.85);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10008, 'Spare part', 162.13);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10009, 'Electricity', 140.02);
INSERT INTO orders_catalog(order_code, order_desc, cost) VALUES (10010, 'Electricity', 180.02);
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(100,1,'appointment');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(101,2,'appointment');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(102,3,'appointment');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(103,4,'urgent');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(104,5,'urgent');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(105,1,'appointment');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(106,2,'appointment');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(107,3,'waiting');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(108,4,'urgent');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(109,5,'waiting');
INSERT INTO encounter(encounter_id, user_id, encounter_type) VALUES(110,1,'waiting');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1000,10000,100,'2009-06-16 09:12');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1001,10001,101,'2009-06-16 09:12');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1002,10002,102,'2009-06-16 09:12');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1003,10003,103,'2009-12-03 09:50');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1004,10004,104,'2010-02-24 12:21');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1005,10005,105,'2010-03-27 23:54');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1006,10006,106,'2010-03-22 12:43');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1007,10007,107,'2010-02-24 12:21');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1008,10008,108,'2010-03-04 08:55');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1009,10009,109,'2010-03-06 09:25');
INSERT INTO orders(order_id, order_code, encounter_id, created_dt) VALUES (1010,10010,110,'2010-03-22 11:18');
这是我尝试过的查询:
SELECT
u.user_id,
name,
ROW_NUMBER() OVER (
PARTITION BY u.user_id ORDER BY o.created_dt ASC
) AS position,
SUM (c.cost) OVER (
PARTITION BY o.encounter_id
) AS cost,
SUM (cost) OVER (
PARTITION BY u.user_id
) AS sum
FROM
users u
INNER JOIN
encounter e USING (user_id)
INNER JOIN
orders o USING (encounter_id)
INNER JOIN
orders_catalog c USING (order_code)
ORDER BY name, position;
但输出不是我所期望的:
用户身份 | 姓名 | 位置 | 成本 | 和 |
---|---|---|---|---|
2 | 查尔斯 | 1 | 214.11 | 454.13 |
2 | 查尔斯 | 2 | 240.02 | 454.13 |
3 | 伊娃 | 1 | 214.11 | 360.96002 |
3 | 伊娃 | 2 | 146.85 | 360.96002 |
5 | 海伦 | 1 | 168.18 | 308.2 |
5 | 海伦 | 2 | 140.02 | 308.2 |
4 | 约翰 | 1 | 181.03 | 343.16 |
4 | 约翰 | 2 | 162.13 | 343.16 |
1 | 彼得 | 1 | 100.34 | 520.38 |
1 | 彼得 | 2 | 180.02 | 520.38 |
1 | 彼得 | 3 | 240.02 | 520.38 |
因为我想要类似的东西:
用户身份 | 姓名 | 位置 | 成本 | 和 |
---|---|---|---|---|
... | ... | ... | ... | ... |
1 | 彼得 | 1 | 100.34 | 100.34 |
1 | 彼得 | 2 | 180.02 | 280.36 |
1 | 彼得 | 3 | 240.02 | 520.38 |