合并具有不同列的查询 [英] merging queries with different columns

问题描述

我有两个类似的SQL查询，但只有不同的where子句过滤器才能提取适当的管理员名称(point_of_contact，admin).我需要产生将两个过滤查询的结果结合在一起的结果，但我不确定该如何解决.列相同，除了联系点和管理员.我需要admin和point_of_contact在不同的列中.有一个联系点或一个管理员，但都没有留下一个空位.我尝试了递归sql，并且case语句和Im遇到了一些麻烦.我在下面将查询分为两个简单查询.(DB2-不确定版本)

I have two similar sql queries that only have different where clause filters to extract the appropriate admin names (point_of_contact, admin). I need to produce results that combines the results of both filtered queries and I was not sure of how to tackle that. The columns are the same except for point of contact and admin. I need the admin and point_of_contact to be in different columns. There is either a point of contact or admin but not both leaving one null. I have tried recursive sql, and case statements and Im having some trouble. I separated the queries into two simple queries below. (DB2 - not sure of the version)

SELECT  
                DP.DIM_PROJECT_ID, 
                DP.PROJECT_NAME, 
                DP.POINT_OF_CONTACT,
                DP.FIELD,
                DD.YEAR

            FROM FACT_Table FAT 
            RIGHT OUTER JOIN DIM_A AS DA on FAT.DIM_A_ID = DA.DIM_A_ID 
            INNER JOIN DIM_P DP on DA.DIM_P_ID = DP.DIM_P_ID
            INNER JOIN BRIDGE_USER BUP on BUP.BRIDGE_ID = DP.DIM_P_ID
            INNER JOIN DIM_DATE DD on DD.DATE_KEY = DA.A_START_DATE_ID
        WHERE DA.AWARD_CATEGORY <> 'N/A'   
        AND DD.YEAR = '2013'
        and (
                SELECT count(BUP_INNER.ADMIN_FLAG) FROM BRIDGE_USER BUP_INNER 
                INNER JOIN DIM_P DP_INNER on BUP_INNER.DIM_P_ID = DP_INNER.DIM_P_ID
                WHERE DP_INNER.DIM_P_ID = DP.DIM_P_ID
                    AND BUP_INNER.ADMIN_FLAG = 'Y'
                ) = 0
        GROUP BY DA.AWARD_TYPE_NAME, DA.AWARD_CATEGORY, DP.PROJECT_NAME, DP.POINT_OF_CONTACT, DD.YEAR

和

SELECT distinct
    DP.DIM_PROJECT_ID,
    DU.NAME_LAST CONCAT ', ' CONCAT t1.NAME_FIRST AS ADMIN,
    DP.PROJECT_NAME,
    DP.PROJECT_TITLE,
    DD.YEAR,
    DP.FIELD
FROM FACT_Table as FAT
INNER JOIN DIM_P DP ON FAT.DIM_P_ID = DP.DIM_P_ID
INNER JOIN BRIDGE_USER BUP on DP.DIM_P_ID = BUP.DIM_P_ID
INNER JOIN DIM_USER DU ON FAT.DIM_USER_ID = DU.DIM_USER_ID
INNER JOIN DIM_DATE DD on DD.DATE_KEY = DA.A_START_DATE_ID
INNER JOIN DIM_A DA ON FAT.DIM_A_ID = DA.DIM_A_ID

WHERE BUP.ADMIN_FLAG = 'Y'
and DD.YEAR = '2013'
and DA.AWARD_CATEGORY <> 'NA'

)
GROUP BY
    DP.DIM_P_ID,
    DU.NAME_LAST CONCAT ', ' CONCAT DU.NAME_FIRST,
    DP.PROJECT_NAME,
    DP.TITLE,
    DD.YEAR,
    DP.FIELD

推荐答案

设置多余的未使用列为空的列

Set up extra columns that are null where they are not used

SELECT distinct 
         DP.DIM_PROJECT_ID, 
         DP.PROJECT_NAME,
         DP.PROJECT_TITLE,
         null as admin, 
         DP.POINT_OF_CONTACT,
         DP.FIELD,
         DD.YEAR

  FROM   FACT_Table   FAT 
  RIGHT OUTER 
  JOIN   DIM_A        DA    on FAT.DIM_A_ID = DA.DIM_A_ID 
  JOIN   DIM_P        DP    on DA.DIM_P_ID = DP.DIM_P_ID
  JOIN   BRIDGE_USER  BUP   on BUP.BRIDGE_ID = DP.DIM_P_ID
            JOIN DIM_DATE     DD    on DD.DATE_KEY = DA.A_START_DATE_ID
  WHERE DA.AWARD_CATEGORY <> 'N/A'   
    and DD.YEAR = '2013'
    and NOT EXISTS (
                     SELECT *
                       FROM BRIDGE_USER  BUP_INNER 
                       JOIN DIM_P        DP_INNER
                          on DP_INNER.DIM_P_ID = BUP_INNER.DIM_P_ID
                       WHERE DP_INNER.DIM_P_ID = DP.DIM_P_ID
                         AND BUP_INNER.ADMIN_FLAG = 'Y'
                   ) 
UNION ALL

SELECT distinct
    DP.DIM_PROJECT_ID,
    DP.PROJECT_NAME,
    DP.PROJECT_TITLE,
    DU.NAME_LAST CONCAT ', ' CONCAT t1.NAME_FIRST AS ADMIN,
    null as POINT_OF_CONTACT,
    DD.YEAR,
    DP.FIELD
  FROM FACT_Table as FAT
  JOIN DIM_P         DP   ON  FAT.DIM_P_ID = DP.DIM_P_ID
  JOIN BRIDGE_USER   BUP  on  BUP.DIM_P_ID = DP.DIM_P_ID
                          and BUP.ADMIN_FLAG = 'Y'
  JOIN DIM_USER      DU   ON  FAT.DIM_USER_ID = DU.DIM_USER_ID
  JOIN DIM_DATE      DD   on  DD.DATE_KEY = DA.A_START_DATE_ID
                          and DD.YEAR = '2013'
  JOIN DIM_A         DA   ON  DA.DIM_A_ID = FAT.DIM_A_ID
                          and DA.AWARD_CATEGORY <> 'NA'

NOT EXISTS应该更有效，因为一旦找到满足子查询的一行，它将返回一个答案.另一方面，COUNT(*)将继续搜索满足子查询的所有所有行.

NOT EXISTS should be more efficient since it will return an answer the moment one row is found satisfying the subquery. COUNT(*) on the other hand, will continue searching for all rows that satisfy the subquery.

我之所以省略了GROUP BY子句，是因为不涉及聚合函数，因此我不理解您要使用它们做什么.

I left out your GROUP BY clauses because I did not understand what you were trying to do with them since there are no aggregate functions involved.

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