Question

刚刚开始使用BigQuery（以及一般的大数据/ BI），并且只关注如何跟踪订单，而不仅仅是追加。

我们说我有一个在线商店/ ecomm网站和相关数据。我们出售小部件。

当我的订单通过＆＃34;创建＆＃34;，到＆＃34;购物＆＃34;，到＆＃34;已完成＆＃34;到＆＃34;确认＆＃34; （由供应商）到＆＃34;履行＆＃34; /＆＃34;已发货＆＃34;有时被取消＆＃34; /＆＃34;拒绝＆＃34; （按供应商），我如何在BigQuery中考虑到这一点，以便我可以为＆＃34;已创建但未完成的订单构建可视化＆＃34;，＆＃34;在日期范围内履行的订单＆＃34; （以某种方式能够解释那些已完成但在完成后被供应商取消/拒绝的那些）

我会使用＆＃34;创建订单＆＃34;填充不同的表格吗？和＆＃34;履行订单＆＃34;和＆＃34;取消订单＆＃34;或者是否有一些其他机制可以解释这一点，因为我无法更新行（从已完成更改为已取消）。

提前谢谢。

Answer 1

以下是一个如何解析事件表以获取有意义信息的示例：
此示例使用BigQuery Standard SQL，因此您需要取消选中显示选项

下的Use Legacy SQL复选框

WITH order_events AS (
  SELECT 1 AS orderID, '2015-01-01' AS ts, 'created' AS event UNION ALL
  SELECT 1 AS orderID, '2015-01-01' AS ts, 'shopping' AS event UNION ALL
  SELECT 1 AS orderID, '2015-01-02' AS ts, 'completed' AS event UNION ALL
  SELECT 1 AS orderID, '2015-01-03' AS ts, 'confirmed' AS event UNION ALL
  SELECT 1 AS orderID, '2015-01-04' AS ts, 'shipped' AS event UNION ALL
  SELECT 2 AS orderID, '2015-01-01' AS ts, 'created' AS event UNION ALL
  SELECT 2 AS orderID, '2015-01-01' AS ts, 'shopping' AS event UNION ALL
  SELECT 2 AS orderID, '2015-01-02' AS ts, 'completed' AS event UNION ALL
  SELECT 2 AS orderID, '2015-01-03' AS ts, 'declined' AS event UNION ALL
  SELECT 3 AS orderID, '2015-01-01' AS ts, 'created' AS event UNION ALL
  SELECT 3 AS orderID, '2015-01-01' AS ts, 'shopping' AS event UNION ALL
  SELECT 3 AS orderID, '2015-01-02' AS ts, 'completed' AS event UNION ALL
  SELECT 3 AS orderID, '2015-01-03' AS ts, 'confirmed' AS event UNION ALL
  SELECT 3 AS orderID, '2015-01-04' AS ts, 'shipped' AS event UNION ALL
  SELECT 4 AS orderID, '2015-01-01' AS ts, 'created' AS event UNION ALL
  SELECT 4 AS orderID, '2015-01-01' AS ts, 'shopping' AS event UNION ALL
  SELECT 4 AS orderID, '2015-01-02' AS ts, 'completed' AS event UNION ALL
  SELECT 4 AS orderID, '2015-01-03' AS ts, 'confirmed' AS event UNION ALL
  SELECT 4 AS orderID, '2015-01-05' AS ts, 'canceled' AS event UNION ALL
  SELECT 5 AS orderID, '2015-01-01' AS ts, 'created' AS event UNION ALL
  SELECT 5 AS orderID, '2015-01-01' AS ts, 'shopping' AS event 
),
order_history AS (
  SELECT 
    orderID, 
    (SELECT STRING_AGG(events, ' > ') FROM t.events) AS history
  FROM (
    SELECT 
      orderID, 
      ARRAY(SELECT event FROM t.events ORDER BY ts ASC) events 
    FROM (
      SELECT 
        orderID, 
        ARRAY_AGG(STRUCT(event, ts)) events
      FROM order_events 
      GROUP BY orderID
    ) t
  ) t
)
SELECT *
FROM order_history
#WHERE REGEXP_EXTRACT(history, r'((?:created).*(?:canceled))') IS NOT NULL

以上结果将订单历史可视化为

orderID     history  
1           created > shopping > completed > confirmed > shipped     
2           created > shopping > completed > declined    
3           created > shopping > completed > confirmed > shipped     
4           created > shopping > completed > confirmed > canceled    
5           created > shopping

现在，如果您将使用WHERE子句取消注释最后一行 - 您将只获得与给定模式匹配的订单 - 在这种情况下：创建但未取消的订单。

orderID     history  
4           created > shopping > completed > confirmed > canceled

设置正确的Regexp可让您灵活地进行所需的分析过滤器

希望这会给你一个想法，你可以根据自己的特定需求进行扩展！

Answer 2

两张桌子：

order和order_events

在您创建订单数据的顺序中，在事件表中，您可以在订单后存储任何内容。事件表将有一个event列，可以描述遇到的操作。

关于查询，您只需加入两个并返回您感兴趣的那个。

随着时间的推移跟踪订单的BigQuery结构

2 个答案: