维度模型数据仓库（十四） —— 杂项维度

用户1148526

发布于 2022-12-02 14:15:26

4840

发布于 2022-12-02 14:15:26

（五）进阶技术 9. 杂项维度本篇讨论杂项维度。简单地说，杂项维度就是一种包含的数据具有很少可能值的维度。例如销售订单，它可能有很多离散数据（yes-no这种类型的值），如

verification_ind（如果订单已经被审核，值为yes）
credit_check_flag（表示此订单的客户信用状态是否已经检查）
new_customer_ind（如果这是新客户的首个订单，值为yes）
web_order_flag（表示此订单是否是在线下的订单）

这类数据常被用于增强销售分析，应该用称为杂项维度的特殊维度类型存储。新增销售订单属性杂项维度给现有的数据仓库新增一个销售订单杂项维度，需要新增一个名为sales_order_attribute_dim的维度表。图（五）- 9-1显示了增加杂项维度表后的数据仓库模式（这里只显示了和销售订单属性相关的表）。

图（五）- 9-1

新的维度表包括四个yes-no列：verification_ind、credit_check_flag、new_customer_ind和web_order_flag。每个列可以有两个可能值中的一个（Y 或 N），因此sales_order_attribute_dim表最多有16（2^4）行。可以预装载这个维度，并且只需装载一次。注意如果知道某种组合是不可能出现的，就不需要装载这种组合。执行清单（五）- 9-1里的脚本修改数据库模式。这个脚本做了四项工作：建立sales_order_attribute_dim表，向表中预装载全部16种可能的组合，给销售订单事实表添加杂项维度代理键，给源数据库里的sales_order表增加对应的四个属性列。

USE dw;

-- 建立杂项维度表
CREATE TABLE sales_order_attribute_dim (
    sales_order_attribute_sk INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
    verification_ind CHAR(1),
    credit_check_flag CHAR(1),
    new_customer_ind CHAR(1),
    web_order_flag CHAR(1),
    version int,
    effective_date DATE,
    expiry_date DATE
);

-- 生成杂项维度数据
INSERT INTO sales_order_attribute_dim VALUES
  (NULL, 'Y', 'N', 'N', 'N', 1,'1900-00-00', '2200-01-01')
, (NULL, 'Y', 'Y', 'N', 'N', 1,'1900-00-00', '2200-01-01')
, (NULL, 'Y', 'Y', 'Y', 'N', 1,'1900-00-00', '2200-01-01')
, (NULL, 'Y', 'Y', 'Y', 'Y', 1,'1900-00-00', '2200-01-01')
, (NULL, 'Y', 'N', 'Y', 'N', 1,'1900-00-00', '2200-01-01')
, (NULL, 'Y', 'N', 'Y', 'Y', 1,'1900-00-00', '2200-01-01')
, (NULL, 'Y', 'N', 'N', 'Y', 1,'1900-00-00', '2200-01-01')
, (NULL, 'Y', 'Y', 'N', 'Y', 1,'1900-00-00', '2200-01-01')
, (NULL, 'N', 'N', 'N', 'N', 1,'1900-00-00', '2200-01-01')
, (NULL, 'N', 'Y', 'N', 'N', 1,'1900-00-00', '2200-01-01')
, (NULL, 'N', 'Y', 'Y', 'N', 1,'1900-00-00', '2200-01-01')
, (NULL, 'N', 'Y', 'Y', 'Y', 1,'1900-00-00', '2200-01-01')
, (NULL, 'N', 'N', 'Y', 'N', 1,'1900-00-00', '2200-01-01')
, (NULL, 'N', 'N', 'Y', 'Y', 1,'1900-00-00', '2200-01-01')
, (NULL, 'N', 'N', 'N', 'Y', 1,'1900-00-00', '2200-01-01')
, (NULL, 'N', 'Y', 'N', 'Y', 1,'1900-00-00', '2200-01-01');

COMMIT;

-- 建立杂项维度外键
ALTER TABLE sales_order_fact ADD sales_order_attribute_sk INT AFTER product_sk;
ALTER TABLE sales_order_fact ADD FOREIGN KEY (sales_order_attribute_sk) 
REFERENCES sales_order_attribute_dim(sales_order_attribute_sk )  ON DELETE CASCADE ON UPDATE CASCADE ;

-- 给源库的销售订单表增加对应的属性
USE source; 
ALTER TABLE sales_order
  ADD verification_ind CHAR (1) AFTER product_code
, ADD credit_check_flag CHAR (1) AFTER verification_ind
, ADD new_customer_ind CHAR (1) AFTER credit_check_flag
, ADD web_order_flag CHAR (1) AFTER new_customer_ind ;

清单（五）- 9-1

修改定期装载脚本由于有了一个新的维度，必须修改定期装载脚本。清单（五）- 9-2显示修改后的脚本。

USE dw;

-- 设置SCD的截止时间和生效时间
SET @pre_date = SUBDATE(CURRENT_DATE,1) ;

-- 设置CDC的上限时间
UPDATE cdc_time SET current_load = CURRENT_DATE ;

-- 装载客户维度
TRUNCATE TABLE customer_stg;
INSERT INTO customer_stg
SELECT 
  customer_number
, customer_name
, customer_street_address
, customer_zip_code
, customer_city
, customer_state
, shipping_address
, shipping_zip_code
, shipping_city
, shipping_state
FROM source.customer ;
/* 在所有地址列上 SCD2                           */
/* 置过期                          */
UPDATE customer_dim a,
    customer_stg b 
SET 
    expiry_date = @pre_date
WHERE
    a.customer_number = b.customer_number
        AND (a.customer_street_address <> b.customer_street_address
        OR a.customer_city <> b.customer_city
        OR a.customer_zip_code <> b.customer_zip_code
        OR a.customer_state <> b.customer_state
        OR a.shipping_address <> b.shipping_address
        OR a.shipping_city <> b.shipping_city
        OR a.shipping_zip_code <> b.shipping_zip_code
        OR a.shipping_state <> b.shipping_state
        OR a.shipping_address IS NULL
        OR a.shipping_city IS NULL
        OR a.shipping_zip_code IS NULL
        OR a.shipping_state IS NULL)
        AND expiry_date = '2200-01-01';
/* 加新行                          */
INSERT INTO customer_dim
SELECT
  NULL
, b.customer_number
, b.customer_name
, b.customer_street_address
, b.customer_zip_code
, b.customer_city
, b.customer_state
, b.shipping_address
, b.shipping_zip_code
, b.shipping_city
, b.shipping_state
, a.version + 1
, @pre_date
, '2200-01-01'
FROM
  customer_dim a
, customer_stg b
WHERE
    a.customer_number = b.customer_number
AND ( a.customer_street_address <> b.customer_street_address
     OR a.customer_city <> b.customer_city
     OR a.customer_zip_code <> b.customer_zip_code
     OR a.customer_state <> b.customer_state
     OR a.shipping_address <> b.shipping_address
     OR a.shipping_city <> b.shipping_city
     OR a.shipping_zip_code <> b.shipping_zip_code
     OR a.shipping_state <> b.shipping_state
     OR a.shipping_address IS NULL
     OR a.shipping_city IS NULL
     OR a.shipping_zip_code IS NULL
     OR a.shipping_state IS NULL)
AND EXISTS(
SELECT *
FROM customer_dim x
WHERE
    b.customer_number=x.customer_number
AND a.expiry_date = @pre_date )
AND NOT EXISTS (
SELECT *
FROM customer_dim y
WHERE
    b.customer_number = y.customer_number
AND y.expiry_date = '2200-01-01') ;
/* 在 customer_name 列上 SCD1                                             */
UPDATE customer_dim a, customer_stg b
SET a.customer_name = b.customer_name
WHERE a.customer_number = b.customer_number
      AND a.customer_name <> b.customer_name ;
/* 新增的客户                                                   */
INSERT INTO customer_dim
SELECT
  NULL
, customer_number
, customer_name
, customer_street_address
, customer_zip_code
, customer_city
, customer_state
, shipping_address
, shipping_zip_code
, shipping_city
, shipping_state
, 1
, @pre_date
,'2200-01-01'
FROM customer_stg
WHERE customer_number NOT IN(
SELECT y.customer_number
FROM customer_dim x, customer_stg y
WHERE x.customer_number = y.customer_number) ;

/* 重建PA客户维度                               */
TRUNCATE pa_customer_dim;
INSERT INTO pa_customer_dim
SELECT
  customer_sk
, customer_number
, customer_name
, customer_street_address
, customer_zip_code
, customer_city
, customer_state
, shipping_address
, shipping_zip_code
, shipping_city
, shipping_state
, version
, effective_date
, expiry_date
FROM customer_dim
WHERE customer_state = 'PA' ;

/* 装载产品维度                                           */
TRUNCATE TABLE product_stg ;
INSERT INTO product_stg
SELECT 
  product_code
, product_name
, product_category
FROM source.product ;
/* 在 product_name 和 product_category 列上 SCD2                                    */
/* 置过期                                 */
UPDATE
  product_dim a
, product_stg b
SET
  expiry_date = @pre_date
WHERE
    a.product_code = b.product_code
AND (   a.product_name <> b.product_name
     OR a.product_category <> b.product_category)
AND expiry_date = '2200-01-01';
/* 加新行                                */
INSERT INTO product_dim
SELECT
  NULL
, b.product_code
, b.product_name
, b.product_category
, a.version + 1
, @pre_date
,'2200-01-01'
FROM
  product_dim a
, product_stg b
WHERE
    a.product_code = b.product_code
AND (   a.product_name <> b.product_name
     OR a.product_category <> b.product_category)
AND EXISTS(
SELECT *
FROM product_dim x
WHERE     b.product_code = x.product_code
      AND a.expiry_date = @pre_date)
AND NOT EXISTS (
SELECT *
FROM product_dim y
WHERE     b.product_code = y.product_code
      AND y.expiry_date = '2200-01-01') ;
/* 新增的产品                                                    */
INSERT INTO product_dim
SELECT
  NULL
, product_code
, product_name
, product_category
, 1
, @pre_date
, '2200-01-01'
FROM product_stg
WHERE product_code NOT IN(
SELECT y.product_code
FROM product_dim x, product_stg y
WHERE x.product_code = y.product_code) ;

-- 装载事实表，新增前一天的订单
INSERT INTO sales_order_fact
SELECT
  customer_sk
, product_sk
, g.sales_order_attribute_sk
, e.order_date_sk
, NULL
, NULL
, NULL
, NULL
, a.order_number
, f.request_delivery_date_sk
, order_amount
, quantity
, NULL
, NULL
, NULL
, NULL
FROM
  source.sales_order a
, customer_dim c
, product_dim d
, order_date_dim e
, request_delivery_date_dim f
, sales_order_attribute_dim g
, cdc_time h
WHERE
	a.order_status = 'N'
AND a.customer_number = c.customer_number
AND a.status_date >= c.effective_date
AND a.status_date < c.expiry_date
AND a.product_code = d.product_code
AND a.status_date >= d.effective_date
AND a.status_date < d.expiry_date
AND a.status_date = e.order_date
AND a.request_delivery_date = f.request_delivery_date
AND a.verification_ind = g.verification_ind
AND a.credit_check_flag = g.credit_check_flag
AND a.new_customer_ind = g.new_customer_ind
AND a.web_order_flag = g.web_order_flag
AND a.entry_date >= h.last_load AND a.entry_date < h.current_load ;

/* UPDATING the new sales order to Allocated status           */
UPDATE sales_order_fact a,
    source.sales_order b,
    allocate_date_dim c,
    cdc_time h
SET 
    a.allocate_date_sk = c.allocate_date_sk,
    a.allocate_quantity = b.quantity
WHERE
    order_status = 'A'
        AND b.entry_date >= h.last_load AND b.entry_date < h.current_load
        AND b.order_number = a.order_number
        AND c.allocate_date = b.status_date ;

/* UPDATING the allocated order to Packed status              */
UPDATE sales_order_fact a,
    source.sales_order b,
    packing_date_dim d,
    cdc_time h
SET 
    a.packing_date_sk = d.packing_date_sk,
    a.packing_quantity = b.quantity
WHERE
    order_status = 'P'
        AND b.entry_date >= h.last_load AND b.entry_date < h.current_load
        AND b.order_number = a.order_number
        AND d.packing_date = b.status_date ;

/* UPDATING the packed order to Shipped status                */
UPDATE sales_order_fact a,
    source.sales_order b,
    ship_date_dim e,
    cdc_time h
SET 
    a.ship_date_sk = e.ship_date_sk,
    a.ship_quantity = b.quantity
WHERE
    order_status = 'S'
        AND b.entry_date >= h.last_load AND b.entry_date < h.current_load
        AND b.order_number = a.order_number
        AND e.ship_date = b.status_date ;

/* UPDATING the shipped order to Received status              */
UPDATE sales_order_fact a,
    source.sales_order b,
    receive_date_dim f,
    cdc_time h
SET 
    a.receive_date_sk = f.receive_date_sk,
    a.receive_quantity = b.quantity
WHERE
    order_status = 'R'
        AND b.entry_date >= h.last_load AND b.entry_date < h.current_load
        AND b.order_number = a.order_number
        AND f.receive_date = b.status_date ;

-- 更新时间戳表的last_load字段
UPDATE cdc_time SET last_load = current_load ;

COMMIT ;

清单（五）- 9-2

图（五）- 9-2到图（五）- 9-5显示了对Kettle定时装载的修改。

图（五）- 9-2

图（五）- 9-3

图（五）- 9-4

图（五）- 9-5

测试修改后的定期装载现在使用清单（五）- 9-3里的脚本添加八个销售订单。

USE source;

INSERT INTO customer
(
  customer_number 
, customer_name
, customer_street_address
, customer_zip_code
, customer_city
, customer_state
, shipping_address
, shipping_zip_code
, shipping_city
, shipping_state)
VALUES
  (10, 'Bigger Customers', '7777 Ridge Rd.', '44102',
       'Cleveland', 'OH', '7777 Ridge Rd.', '44102', 'Cleveland',
       'OH')
, (11, 'Smaller Stores', '8888 Jennings Fwy.', '44102',
       'Cleveland', 'OH', '8888 Jennings Fwy.', '44102',
       'Cleveland', 'OH')
, (12, 'Small-Medium Retailers', '9999 Memphis Ave.', '44102',
       'Cleveland', 'OH', '9999 Memphis Ave.', '44102', 'Cleveland',
       'OH') ,
 (13, 'PA Customer', '1111 Louise Dr.', '17050',
       'Mechanicsburg', 'PA', '1111 Louise Dr.', '17050',
       'Mechanicsburg', 'PA')
, (14, 'OH Customer', '6666 Ridge Rd.', '44102',
       'Cleveland', 'OH', '6666 Ridge Rd.', '44102',
       'Cleveland', 'OH') ;

INSERT INTO sales_order VALUES
  (54, 1, 1, 'Y', 'Y', 'N', 'Y', '2015-03-16', 'N', '2015-03-20',
       '2015-03-16', 7500, 75)
, (55, 2, 2, 'N', 'N', 'N', 'N', '2015-03-16', 'N', '2015-03-20',
       '2015-03-16', 1000, 10)
, (56, 3, 3, 'Y', 'Y', 'N', 'N', '2015-03-16', 'N', '2015-03-20',
       '2015-03-16', 7500, 75)
, (57, 4, 4, 'Y', 'N', 'N', 'N', '2015-03-16', 'N', '2015-03-20',
       '2015-03-16', 1000, 10)
, (58, 11, 1, 'N', 'Y', 'Y', 'Y', '2015-03-16', 'N', '2015-03-20',
       '2015-03-16', 7500, 75)
, (59, 12, 2, 'N', 'Y', 'Y', 'N', '2015-03-16', 'N', '2015-03-20',
       '2015-03-16', 1000, 10)
, (60, 13, 3, 'Y', 'Y', 'Y', 'N', '2015-03-16', 'N', '2015-03-20',
       '2015-03-16', 7500, 75)
, (61, 14, 4, 'Y', 'N', 'Y', 'N', '2015-03-16', 'N', '2015-03-20',
       '2015-03-16', 1000, 10)
;

COMMIT;

清单（五）- 9-3

现在把系统日期设置为2015年3月17日，然后再执行清单（五）- 9-2里的脚本或对应的Kettle作业。可以使用清单（五）- 9-4里的分析性查询确认装载正确。该查询分析出检查了信用状态的新用户有多少销售订单。查询结果如图（五）- 9-6所示。

USE dw;
SELECT 
    CONCAT(ROUND(checked / (checked + not_checked) * 100),' % ')
FROM
    (SELECT 
        COUNT(*) checked
    FROM
        sales_order_fact a, sales_order_attribute_dim b
    WHERE
        new_customer_ind = 'Y'
            and credit_check_flag = 'Y'
            AND a.sales_order_attribute_sk = b.sales_order_attribute_sk) x,
    (SELECT 
        COUNT(*) not_checked
    FROM
        sales_order_fact a, sales_order_attribute_dim b
    WHERE
        new_customer_ind = 'Y'
            and credit_check_flag = 'N'
            AND a.sales_order_attribute_sk = b.sales_order_attribute_sk) y;

清单（五）- 9-4