TSQL - 从记录集中动态生成查询

TSQL - Dynamically generate queries from a record set

示例数据:

DECLARE @Tbl_List TABLE
    (
        [PSchemaName] sysname
      , [PTableName]  sysname
      , [PColumnName] sysname
      , [FSchemaName] sysname
      , [FTableName]  sysname
      , [FColumnName] sysname
      , [ColumnOrder] TINYINT
    ) ;

INSERT INTO @Tbl_List
VALUES
    ( 'emp', 'emphdr1', 'id', 'emp', 'empdtl1', 'hdrid', 1 )
  , ( 'emp', 'emphdr2', 'id', 'emp', 'empdtl2', 'hdrid', 1 )
  , ( 'emp', 'emphdr2', 'key', 'emp', 'empdtl2', 'hdrkey', 2 )
  , ( 'emp', 'emphdr3', 'id', 'emp', 'empdtl3', 'hdrid', 1 )
  , ( 'emp', 'emphdr3', 'key1', 'emp', 'empdtl3', 'hdrkey1', 2 )
  , ( 'emp', 'emphdr3', 'key2', 'emp', 'empdtl3', 'hdrkey2', 3 )
  , ( 'emp', 'emphdr3', 'id', 'emp', 'empdtl4', 'hdrid', 1 )
  , ( 'emp', 'emphdr3', 'key1', 'emp', 'empdtl4', 'hdrkey1', 2 ) ;

PSchemaName PTableName  PColumnName FSchemaName FTableName  FColumnName ColumnOrder
emp         emphdr1     id          emp         empdtl1     hdrid       1
emp         emphdr2     id          emp         empdtl2     hdrid       1
emp         emphdr2     key         emp         empdtl2     hdrkey      2
emp         emphdr3     id          emp         empdtl3     hdrid       1
emp         emphdr3     key1        emp         empdtl3     hdrkey1     2
emp         emphdr3     key2        emp         empdtl3     hdrkey2     3
emp         emphdr3     id          emp         empdtl4     hdrid       1
emp         emphdr3     key1        emp         empdtl4     hdrkey1     2

目标:

动态地 create/output 一个 SELECT 语句 - JOINs FSchema/FTable 与 PSchema/PTable on (F/S)ColumnName 按照 ColumnOrder 中指定的顺序 - 在新专栏。

查询将派生为... "SELECT [F].[{FColumnName}], [P].[{PColumnName}] FROM [{FSchemaName}].[{FTableName}] AS [F] JOIN [{PSchemaName}].[{ PTableName}] AS [P] ON [P].[{PColumnName}] = [F].[{FColumnName}] ;" (同样,ON 子句是按照 [ColumnOrder] 字段中指定的顺序派生的)

预期输出:

PSchemaName PTableName  FSchemaName FTableName  CMD
emp         emphdr1     emp         empdtl1     SELECT [F].[hdrid], [P].[id] FROM [emp].[empdtl1] AS [F] JOIN [emp].[emphdr1] AS [P] ON [P].[id] = [F].[hdrid] ;
emp         emphdr2     emp         empdtl2     SELECT [F].[hdrid], [F].[hdrkey], [P].[id], [P].[key] FROM [emp].[empdtl2] AS [F] JOIN [emp].[emphdr2] AS [P] ON [P].[id] = [F].[hdrid] AND [P].[key] = [F].[hdrkey] ;
emp         emphdr3     emp         empdtl3     SELECT [F].[hdrid], [F].[hdrkey1], [F].[hdrkey2], [P].[id], [P].[key1], [P].[key2] FROM [emp].[empdtl3] AS [F] JOIN [emp].[emphdr3] AS [P] ON [P].[id] = [F].[hdrid] AND [P].[key1] = [F].[hdrkey1] AND [P].[key2] = [F].[hdrkey2] ;
emp         emphdr3     emp         empdtl4     SELECT [F].[hdrid], [F].[hdrkey1], [P].[id], [P].[key1] FROM [emp].[empdtl3] AS [F] JOIN [emp].[emphdr4] AS [P] ON [P].[id] = [F].[hdrid] AND [P].[key1] = [F].[hdrkey1] ;

我的尝试:

我还在想办法。连接单个列可以通过 FOR XML 实现,不确定我将如何在两列之间连接“=”并为多列连接添加“AND”..

使用 Group ByString_Agg 函数,您可以生成所需的输出。

SELECT PSchemaName,PTableName,FSchemaName,FTableName,
      CONCAT('SELECT ',fselectcol,',',pselectcol,' FROM ',FTableName ,' f JOIN ',PTableName,' p ON ',joincol) AS CMD
FROM
(SELECT
       MAX(PSchemaName) AS PSchemaName,
       MAX(PTableName) AS PTableName,
       MAX(FSchemaName) AS FSchemaName,
       FTableName,
       STRING_AGG('p.' + PColumnName,',') pselectcol,
       STRING_AGG('f.' + FColumnName,',') fselectcol,
       STRING_AGG('p.' + PColumnName + ' = f.' + FColumnName,' AND ') joincol
FROM @Tbl_List
GROUP BY FTableName) t

编辑: SQL-SERVER 2016 不支持 String_Agg,所以使用 XML PATH

SELECT  
       MAX(PSchemaName) AS PSchemaName,
       MAX(PTableName) AS PTableName,
       MAX(FSchemaName) AS FSchemaName,
       FTableName,
       CONCAT('SELECT ',MAX(fselectcol),',',MAX(pselectcol),' FROM ',FTableName ,' f JOIN ',MAX(PTableName),' p ON ', SUBSTRING(MAX(joincol),0,LEN(MAX(joincol)) - 3)) AS CMD
FROM

(SELECT t1.*,
  STUFF(
    (SELECT ',p.' + PColumnName
     FROM @Tbl_List AS t2
     WHERE t2.FTableName = t1.FTableName
     FOR XML PATH('')), 1, 1, NULL) AS pselectcol,
   STUFF(
    (SELECT ',f.' + FColumnName
     FROM @Tbl_List AS t2
     WHERE t2.FTableName = t1.FTableName
     FOR XML PATH('')), 1, 1, NULL) AS fselectcol,
   STUFF(
    (SELECT 'p.' + PColumnName + ' = f.' + FColumnName,' AND '
     FROM @Tbl_List AS t2
     WHERE t2.FTableName = t1.FTableName
     FOR XML PATH('')), 1, 0, NULL) AS joincol
FROM @Tbl_List AS t1) T
GROUP BY FTableName

演示 db<>fiddle - sql server 2016

演示 db<>fiddle

混合使用 Cross Apply 和 For Xml 来生成查询。

SELECT 
  [PSchemaName], [PTableName], [FSchemaName], [FTableName]
, [Cmd] = CONCAT('SELECT ', [Fields], char(10), 
                 'FROM ', [From], char(10), 
                 'JOIN ', [Join], char(10), [On])
FROM
(
  SELECT
     [FSchemaName], [FTableName], [PSchemaName], [PTableName]
   , [From] = CONCAT(QUOTENAME([FSchemaName]), '.', QUOTENAME([FTableName]), ' AS [F] ') 
   , [Join] = CONCAT(QUOTENAME([PSchemaName]), '.', QUOTENAME([PTableName]), ' AS [P] ') 
  FROM @Tbl_List
  GROUP BY 
     [FSchemaName], [FTableName], [PSchemaName], [PTableName]
) t
CROSS APPLY (
  SELECT 
    [Fields] = STUFF(
    (SELECT ', [F].'+ QUOTENAME([FColumnName])
           +', [P].'+ QUOTENAME([PColumnName])
     FROM @Tbl_List t2
     WHERE t2.FTableName = t.FTableName
     FOR XML PATH('')), 1, 2, NULL)
  , [On] = '  ON' + STUFF(
    (SELECT  ' AND [P].'+ QUOTENAME([PColumnName])
         +' = [F].'+ QUOTENAME([FColumnName]) +char(10)
     FROM @Tbl_List t2
     WHERE t2.FTableName = t.FTableName
     FOR XML PATH('')), 1, 4, NULL)
  from @Tbl_List t2
  where t2.FSchemaName = t.FSchemaName
    and t2.FTableName = t.FTableName
) ca
PSchemaName PTableName FSchemaName FTableName Cmd
emp emphdr1 emp empdtl1 SELECT [F].[hdrid], [P].[id]<br>FROM [emp].[empdtl1] AS [F] <br>JOIN [emp].[emphdr1] AS [P] <br> ON [P].[id] = [F].[hdrid]<br>
emp emphdr2 emp empdtl2 SELECT [F].[hdrid], [P].[id], [F].[hdrkey], [P].[key]<br>FROM [emp].[empdtl2] AS [F] <br>JOIN [emp].[emphdr2] AS [P] <br> ON [P].[id] = [F].[hdrid]<br> AND [P].[key] = [F].[hdrkey]<br>
emp emphdr2 emp empdtl2 SELECT [F].[hdrid], [P].[id], [F].[hdrkey], [P].[key]<br>FROM [emp].[empdtl2] AS [F] <br>JOIN [emp].[emphdr2] AS [P] <br> ON [P].[id] = [F].[hdrid]<br> AND [P].[key] = [F].[hdrkey]<br>
emp emphdr3 emp empdtl3 SELECT [F].[hdrid], [P].[id], [F].[hdrkey1], [P].[key1], [F].[hdrkey2], [P].[key2]<br>FROM [emp].[empdtl3] AS [F] <br>JOIN [emp].[emphdr3] AS [P] <br> ON [P].[id] = [F].[hdrid]<br> AND [P].[key1] = [F].[hdrkey1]<br> AND [P].[key2] = [F].[hdrkey2]<br>
emp emphdr3 emp empdtl3 SELECT [F].[hdrid], [P].[id], [F].[hdrkey1], [P].[key1], [F].[hdrkey2], [P].[key2]<br>FROM [emp].[empdtl3] AS [F] <br>JOIN [emp].[emphdr3] AS [P] <br> ON [P].[id] = [F].[hdrid]<br> AND [P].[key1] = [F].[hdrkey1]<br> AND [P].[key2] = [F].[hdrkey2]<br>
emp emphdr3 emp empdtl3 SELECT [F].[hdrid], [P].[id], [F].[hdrkey1], [P].[key1], [F].[hdrkey2], [P].[key2]<br>FROM [emp].[empdtl3] AS [F] <br>JOIN [emp].[emphdr3] AS [P] <br> ON [P].[id] = [F].[hdrid]<br> AND [P].[key1] = [F].[hdrkey1]<br> AND [P].[key2] = [F].[hdrkey2]<br>
emp emphdr3 emp empdtl4 SELECT [F].[hdrid], [P].[id], [F].[hdrkey1], [P].[key1]<br>FROM [emp].[empdtl4] AS [F] <br>JOIN [emp].[emphdr3] AS [P] <br> ON [P].[id] = [F].[hdrid]<br> AND [P].[key1] = [F].[hdrkey1]<br>
emp emphdr3 emp empdtl4 SELECT [F].[hdrid], [P].[id], [F].[hdrkey1], [P].[key1]<br>FROM [emp].[empdtl4] AS [F] <br>JOIN [emp].[emphdr3] AS [P] <br> ON [P].[id] = [F].[hdrid]<br> AND [P].[key1] = [F].[hdrkey1]<br>

演示 db<>fiddle here