通过 Netezza 查询将行折叠成一个字段

Collapse Rows into a Single Field via Netezza Query

我在 table 中工作,变量以 long/tall 格式存储。我需要将其转换为宽格式以便在项目中使用。基本上我需要聚合一个文本字段,或按名称折叠。下面的示例数据,我正在使用的 table 有 ~400k 行:

IID     NAME  LANGUAGE  TID
  1  William   English   76
  1  William    French   82
  1  William   Spanish   12
  1  William    German   63
  2   George    German   39
  2   George    French   53
  3     Dave   English   29

我需要得到的是每个人 ID/Name 的一行,其中一个字段列出了该人使用的所有语言。我不需要考虑交易 ID。

IID     NAME                      LANGUAGES
  1  William  English_French_German_Spanish
  2   George                  French_German
  3     Dave                        English

我的数据库是 Netezza,它是 PostgreSQL 的衍生产品。我创建了一个使用 PostgreSQL 的 SQL fiddle。我设法捕获了两种语言,但我的查询遗漏了超过 2 种语言,并且在只有 1 种语言时显示了双倍。有人能指出我正确的方向吗?

http://sqlfiddle.com/#!15/55706/1

SELECT T1.IID, T1.NAME,
    MIN(T1.LANGUAGE) || '_' || MAX(T1.LANGUAGE) AS LANGUAGES

FROM Table1 AS T1

GROUP BY T1.IID, T1.NAME

ORDER BY T1.IID
;

尝试使用 group_concat 您的查询将类似于:

SELECT T1.IID, T1.NAME,
    GROUP_CONCAT(T1.LANGUAGE,'_') AS LANGUAGES
FROM Table1 AS T1
GROUP BY T1.IID, T1.NAME
ORDER BY T1.IID;

一个博客link,可以帮助您更好地理解这个解析函数

希望对您有所帮助

我在 Dhaval's answer. There's a thread on IBM's DeveloperWorks community that addresses this exact question, Group Concat in Netezza. The solution that worked for me is within the 5th response, written by Diwakar Nahata 中搜索有关该命令的文档时找到了答案。这是为我解决问题的代码:

SELECT A.IID, A.NAME,
    RTRIM(MAX(CASE RNO WHEN 1 THEN A.LANGUAGE ELSE '' END)||','|| 
        MAX(CASE RNO WHEN 2 THEN A.LANGUAGE ELSE '' END)||','||
        MAX(CASE RNO WHEN 3 THEN A.LANGUAGE ELSE '' END)||','||
        MAX(CASE RNO WHEN 4 THEN A.LANGUAGE ELSE '' END)||','||
        MAX(CASE RNO WHEN 5 THEN A.LANGUAGE ELSE '' END)||','||
        MAX(CASE RNO WHEN 6 THEN A.LANGUAGE ELSE '' END),',') AS LANGUAGES
FROM (SELECT
        IID,
        NAME,
        LANGUAGE,
        ROW_NUMBER()
        OVER (PARTITION BY IID, NAME ORDER BY LANGUAGE) AS RNO
    FROM Table1 ) AS A
GROUP BY A.IID, A.NAME
;

这里有一个 link 解决了 SQL fiddle。此 fiddle 设置为 PostgreSQL,但此查询在 Netezza 中也非常适合我。