问按时间戳聚合
EN

Stack Overflow用户

提问于 2014-05-19 07:44:04

回答 1查看 1.2K关注 0票数 3

SEO > SEO >付费1付费>代销商>付费1 SEO >代销商1I有一个查询，其中包含客户标识号、营销渠道、时间戳和购买日期。所以，结果可能是这样的。

id marketingChannel TimeStamp      Transaction_date
1  SEO              5/18 23:11:43  5/18
1  SEO              5/18 24:12:43  5/18
1  Paid             5/18 24:13:43  5/18
2  Paid             5/18 24:12:43  5/18
2  Paid             5/18 24:14:43  5/18
2  Affiliate        5/18 24:20:43  5/18
2  Paid             5/18 24:22:43  5/18
3  SEO              5/18 24:10:43  5/18
3  Affiliate        5/18 24:11:43  5/18

我想知道是否有一个查询，以一种显示营销路径计数的方式聚合这些信息。

例如。

Marketing Path                  Count
SEO > SEO > Paid                  1
Paid > Paid > Affiliate > Paid    1
SEO > Affiliate                   1

我正在考虑编写一个Python脚本来获取这些信息，但我想知道SQL中是否有一个简单的解决方案--因为我没有使用SQL的framiliar。

sql

aggregate-functions

teradata

回答 1

Stack Overflow用户

回答已采纳

发布于 2014-05-20 13:28:46

几年前，我需要一个类似的结果，我测试了不同的方法，以获得一个连接字符串中的Teradata。顺便说一句，如果行数太高且连在一起的字符串超过64000个字符，则所有操作都可能失败。

最有效的是用户定义的函数(用C编写)：

SELECT
   PATH
  ,COUNT(*)
FROM
 (
   SELECT 
      DelimitedBuildSorted(MARKETINGCHANNEL
                          ,CAST(CAST(ts AS FORMAT 'yyyymmddhhmiss') AS VARCHAR(14))
                          ,'>') AS PATH
   FROM t
   GROUP BY id
 ) AS dt
GROUP BY 1;

如果您需要频繁地运行该查询和/或在一个大型表上，如果可以使用UDF，您可以与您的DBA对话(大多数DBA不喜欢它们，因为它们是用他们不知道的语言编写的，C)。

如果每个id的平均行数较低，则递归可能是可以的。Joseph的版本可以稍微简化一些，但最重要的是创建一个临时表，而不是使用视图或派生表进行ROW_NUMBER计算。这将导致更好的计划(在Server中也是如此)：

CREATE VOLATILE TABLE vt AS 
 (
   SELECT
      id
     ,MarketingChannel
     ,ROW_NUMBER() OVER (PARTITION BY id ORDER BY TS DESC) AS rn
     ,COUNT(*) OVER (PARTITION BY id) AS max_rn
   FROM t
 ) WITH DATA 
PRIMARY INDEX (id) 
ON COMMIT PRESERVE ROWS;

WITH RECURSIVE cte(id, path, rn) AS
 (
   SELECT 
      id, 

      -- modify VARCHAR size to fit your maximum number of rows, that's better than VARCHAR(64000)
      CAST(MarketingChannel AS VARCHAR(10000)) AS PATH, 
      rn
   FROM vt
   WHERE rn = max_rn
   UNION ALL
   SELECT 
      cte.ID, 
      cte.PATH || '>' || vt.MarketingChannel, 
      cte.rn-1
   FROM vt JOIN cte
     ON vt.id = cte.id
    AND vt.rn = cte.rn - 1
 )
SELECT 
   PATH, 
   COUNT(*) 
FROM cte
WHERE rn = 1
GROUP BY path
ORDER BY PATH
;

你也可以试试旧学校MAX(CASE)：

SELECT
   PATH
  ,COUNT(*)
FROM
 (
   SELECT
      id
     ,MAX(CASE WHEN rnk =  0 THEN MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  1 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  2 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  3 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  4 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  5 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  6 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  7 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  8 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk =  9 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 10 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 11 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 12 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 13 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 14 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 15 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 16 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 17 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 18 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 19 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 20 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 21 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 22 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 23 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 24 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 25 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 26 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 27 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 28 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 29 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 30 THEN '>' || MarketingChannel ELSE '' END) ||
      MAX(CASE WHEN rnk = 31 THEN '>' || MarketingChannel ELSE '' END) AS PATH
   FROM
    (
     SELECT
        id
       ,TRIM(MarketingChannel) AS MarketingChannel
       ,RANK() OVER (PARTITION BY id
                     ORDER BY TS) -1 AS rnk
     FROM t
    ) dt
   GROUP BY 1
 ) AS dt
GROUP BY 1;

我有多达2048行，每行有30个字符:-)

SELECT
   PATH
  ,COUNT(*)
FROM
 (
   SELECT
      id
     ,MAX(CASE WHEN rnk MOD 16 = 0 THEN path ELSE '' END) ||
      MAX(CASE WHEN rnk MOD 16 = 1 THEN '>' || path ELSE '' END) ||
      MAX(CASE WHEN rnk MOD 16 = 2 THEN '>' || path ELSE '' END) ||
      MAX(CASE WHEN rnk MOD 16 = 3 THEN '>' || path ELSE '' END) ||
      MAX(CASE WHEN rnk MOD 16 = 4 THEN '>' || path ELSE '' END) ||
      MAX(CASE WHEN rnk MOD 16 = 5 THEN '>' || path ELSE '' END) ||
      MAX(CASE WHEN rnk MOD 16 = 6 THEN '>' || path ELSE '' END) ||
      MAX(CASE WHEN rnk MOD 16 = 7 THEN '>' || path ELSE '' END) AS PATH
   FROM
    (
     SELECT
        id
       ,rnk / 16 AS rnk
       ,MAX(CASE WHEN rnk MOD 16 =  0 THEN path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  1 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  2 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  3 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  4 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  5 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  6 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  7 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  8 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 =  9 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 = 10 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 = 11 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 = 12 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 = 13 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 = 14 THEN '>' || path ELSE '' END) ||
        MAX(CASE WHEN rnk MOD 16 = 15 THEN '>' || path ELSE '' END) AS path
     FROM
      (
       SELECT
          id
         ,rnk / 16 AS rnk
         ,MAX(CASE WHEN rnk MOD 16 =  0 THEN path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  1 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  2 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  3 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  4 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  5 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  6 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  7 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  8 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 =  9 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 = 10 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 = 11 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 = 12 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 = 13 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 = 14 THEN '>' || path ELSE '' END) ||
          MAX(CASE WHEN rnk MOD 16 = 15 THEN '>' || path ELSE '' END) AS path
       FROM
        (
         SELECT
            id
           ,TRIM(MarketingChannel) AS PATH
           ,RANK() OVER (PARTITION BY id
                         ORDER BY TS) -1 AS rnk
         FROM t
        ) dt
       GROUP BY 1,2
      ) dt
     GROUP BY 1,2
    ) dt
   GROUP BY 1
 ) dt
GROUP BY 1