对于使用MySQL C-API的人来说，你的问题有一个直接的答案。

给定SQL:

  SELECT a.*, b.*, c.* FROM table_a a JOIN table_b b USING (x) JOIN table_c c USING (y)

'mysql_stmt_result_metadata()'的结果将准备好的SQL查询中的字段定义提供到结构MYSQL_FIELD[]中。每个字段包含以下数据:

  char *name;                 /* Name of column (may be the alias) */
  char *org_name;             /* Original column name, if an alias */
  char *table;                /* Table of column if column was a field */
  char *org_table;            /* Org table name, if table was an alias */
  char *db;                   /* Database for table */
  char *catalog;              /* Catalog for table */
  char *def;                  /* Default value (set by mysql_list_fields) */
  unsigned long length;       /* Width of column (create length) */
  unsigned long max_length;   /* Max width for selected set */
  unsigned int name_length;
  unsigned int org_name_length;
  unsigned int table_length;
  unsigned int org_table_length;
  unsigned int db_length;
  unsigned int catalog_length;
  unsigned int def_length;
  unsigned int flags;         /* Div flags */
  unsigned int decimals;      /* Number of decimals in field */
  unsigned int charsetnr;     /* Character set */
  enum enum_field_types type; /* Type of field. See mysql_com.h for types */

请注意以下字段:catalog、table、org_name

现在您知道SQL中的哪个字段属于哪个模式(即目录)和表。 这足以从多表sql查询中通用地识别每个字段，而不需要别名。

一个实际的产品SqlYOG在这样一个庄园中使用这个确切的数据，当PK字段存在时，它们能够独立地更新多表连接的每个表。

我所做的就是用Excel来连接这个过程。例如，首先我选择*并获取所有列，将它们粘贴到Excel中。然后写出环绕该列所需的代码。说我需要在一堆专栏前做广告。我有我的字段在a列和“作为prev_”在列B和我的字段再次在列c。在列d，我有一列。

然后在列e中使用concatanate，并将它们合并在一起，确保包含空格。然后将其剪切并粘贴到sql代码中。我还使用这种方法为相同的字段和其他更长的代码做case语句，我需要为数百个字段表中的每个字段做。

从这个解决方案出发，我将如何处理这个问题:

首先创建一个所有AS语句的列表:

DECLARE @asStatements varchar(8000)

SELECT @asStatements = ISNULL(@asStatements + ', ','') + QUOTENAME(table_name) + '.' + QUOTENAME(column_name) + ' AS ' + '[' + table_name + '.' + column_name + ']'
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'TABLE_A' OR TABLE_NAME = 'TABLE_B'
ORDER BY ORDINAL_POSITION

然后在你的查询中使用它:

EXEC('SELECT ' + @asStatements + ' FROM TABLE_A a JOIN TABLE_B b USING (some_id)');

然而，这可能需要修改，因为类似的东西只在SQL Server中测试。但是这段代码在SQL Server中并不完全有效，因为不支持USING。

请评论，如果你可以测试/纠正这段代码，例如MySQL。

不能这样做没有别名，只是因为，你将如何引用一个字段在where子句，如果该字段存在于2或3个表，你要连接? 这将是不清楚的mysql，你试图引用哪一个。

对此没有SQL标准。

然而，通过代码生成(在表创建或修改或运行时按需生成)，你可以很容易地做到这一点:

CREATE TABLE [dbo].[stackoverflow_329931_a](
    [id] [int] IDENTITY(1,1) NOT NULL,
    [col2] [nchar](10) NULL,
    [col3] [nchar](10) NULL,
    [col4] [nchar](10) NULL,
 CONSTRAINT [PK_stackoverflow_329931_a] PRIMARY KEY CLUSTERED 
(
    [id] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON) ON [PRIMARY]
) ON [PRIMARY]

CREATE TABLE [dbo].[stackoverflow_329931_b](
    [id] [int] IDENTITY(1,1) NOT NULL,
    [col2] [nchar](10) NULL,
    [col3] [nchar](10) NULL,
    [col4] [nchar](10) NULL,
 CONSTRAINT [PK_stackoverflow_329931_b] PRIMARY KEY CLUSTERED 
(
    [id] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON) ON [PRIMARY]
) ON [PRIMARY]

DECLARE @table1_name AS varchar(255)
DECLARE @table1_prefix AS varchar(255)
DECLARE @table2_name AS varchar(255)
DECLARE @table2_prefix AS varchar(255)
DECLARE @join_condition AS varchar(255)
SET @table1_name = 'stackoverflow_329931_a'
SET @table1_prefix = 'a_'
SET @table2_name = 'stackoverflow_329931_b'
SET @table2_prefix = 'b_'
SET @join_condition = 'a.[id] = b.[id]'

DECLARE @CRLF AS varchar(2)
SET @CRLF = CHAR(13) + CHAR(10)

DECLARE @a_columnlist AS varchar(MAX)
DECLARE @b_columnlist AS varchar(MAX)
DECLARE @sql AS varchar(MAX)

SELECT @a_columnlist = COALESCE(@a_columnlist + @CRLF + ',', '') + 'a.[' + COLUMN_NAME + '] AS [' + @table1_prefix + COLUMN_NAME + ']'
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = @table1_name
ORDER BY ORDINAL_POSITION

SELECT @b_columnlist = COALESCE(@b_columnlist + @CRLF + ',', '') + 'b.[' + COLUMN_NAME + '] AS [' + @table2_prefix + COLUMN_NAME + ']'
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = @table2_name
ORDER BY ORDINAL_POSITION

SET @sql = 'SELECT ' + @a_columnlist + '
,' + @b_columnlist + '
FROM [' + @table1_name + '] AS a
INNER JOIN [' + @table2_name + '] AS b
ON (' + @join_condition + ')'

PRINT @sql
-- EXEC (@sql)

我在PostgreSQL 13中使用to_jsonb函数来获得连接表中的所有字段作为一列。

select
  TABLE_A.*,
  to_jsonb(TABLE_B.*) as b,
  to_jsonb(TABLE_C.*) as c
from TABLE_A
left join TABLE_B on TABLE_B.a_id=TABLE_A.id
left join TABLE_C on TABLE_C.a_id=TABLE_A.id
where TABLE_A.id=1

结果你会得到TABLE_A列加上b和c列的数量:

您只需要解析b和c列以将它们转换为对象。