到目前为止，我发现的最好和最通用的解决方案是通过管道将db的转储传递给您正在搜索的grep。

例如，Mysql:

mysqldump -pPASSWORD database | grep 'search phrase'

或者如果你得到了太多的结果，你可以把它们输出到一个文件:

mysqldump -pPASSWORD database | grep 'search phrase' > results.txt

这可能对你有帮助。——来自纳拉亚纳·维亚斯。它搜索给定数据库中所有表的所有列。我以前用过，效果很好。

这是上面链接中的Stored Proc -我所做的唯一更改是将临时表替换为表变量，这样您就不必每次都记得删除它。

CREATE PROC SearchAllTables
(
    @SearchStr nvarchar(100)
)
AS
BEGIN

-- Copyright © 2002 Narayana Vyas Kondreddi. All rights reserved.
-- Purpose: To search all columns of all tables for a given search string
-- Written by: Narayana Vyas Kondreddi
-- Site: http://vyaskn.tripod.com
-- Tested on: SQL Server 7.0 and SQL Server 2000
-- Date modified: 28th July 2002 22:50 GMT

DECLARE @Results TABLE(ColumnName nvarchar(370), ColumnValue nvarchar(3630))

SET NOCOUNT ON

DECLARE @TableName nvarchar(256), @ColumnName nvarchar(128), @SearchStr2 nvarchar(110)
SET  @TableName = ''
SET @SearchStr2 = QUOTENAME('%' + @SearchStr + '%','''')

WHILE @TableName IS NOT NULL
BEGIN
    SET @ColumnName = ''
    SET @TableName = 
    (
        SELECT MIN(QUOTENAME(TABLE_SCHEMA) + '.' + QUOTENAME(TABLE_NAME))
        FROM    INFORMATION_SCHEMA.TABLES
        WHERE       TABLE_TYPE = 'BASE TABLE'
            AND QUOTENAME(TABLE_SCHEMA) + '.' + QUOTENAME(TABLE_NAME) > @TableName
            AND OBJECTPROPERTY(
                    OBJECT_ID(
                        QUOTENAME(TABLE_SCHEMA) + '.' + QUOTENAME(TABLE_NAME)
                         ), 'IsMSShipped'
                           ) = 0
    )

    WHILE (@TableName IS NOT NULL) AND (@ColumnName IS NOT NULL)
    BEGIN
        SET @ColumnName =
        (
            SELECT MIN(QUOTENAME(COLUMN_NAME))
            FROM    INFORMATION_SCHEMA.COLUMNS
            WHERE       TABLE_SCHEMA    = PARSENAME(@TableName, 2)
                AND TABLE_NAME  = PARSENAME(@TableName, 1)
                AND DATA_TYPE IN ('char', 'varchar', 'nchar', 'nvarchar')
                AND QUOTENAME(COLUMN_NAME) > @ColumnName
        )

        IF @ColumnName IS NOT NULL
        BEGIN
            INSERT INTO @Results
            EXEC
            (
                'SELECT ''' + @TableName + '.' + @ColumnName + ''', LEFT(' + @ColumnName + ', 3630) 
                FROM ' + @TableName + 
                ' WHERE ' + @ColumnName + ' LIKE ' + @SearchStr2
            )
        END
    END 
END

SELECT ColumnName, ColumnValue FROM @Results
END

执行存储过程。

 EXEC SearchAllTables 'YourStringHere'

在这里，非常甜蜜和小的解决方案:

1) create a store procedure:

create procedure get_table
@find_str varchar(50)
as 
begin
  declare @col_name varchar(500), @tab_name varchar(500);
  declare @find_tab TABLE(table_name varchar(100), column_name varchar(100));

  DECLARE tab_col cursor for 
  select C.name as 'col_name', T.name as tab_name
  from sys.tables as T
  left outer join sys.columns as C on  C.object_id=T.object_id
  left outer join sys.types as TP on  C.system_type_id=TP.system_type_id
  where type='U' 
  and TP.name in('text','ntext','varchar','char','nvarchar','nchar');

  open tab_col
  fetch next from tab_col into @col_name, @tab_name

  while @@FETCH_STATUS = 0
  begin        
    insert into @find_tab 
    exec('select ''' +  @tab_name + ''',''' + @col_name + ''' from ' + @tab_name + 
    ' where ' + @col_name + '=''' + @find_str + ''' group by ' + 
    @col_name + ' having count(*)>0');

    fetch next from tab_col into @col_name, @tab_name;
  end
  CLOSE tab_col;  
  DEALLOCATE tab_col; 
  select table_name, column_name from @find_tab;

end

＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝

2) call procedure by calling store procedure:
exec get_table 'serach_string';

根据bnkdev的回答，我修改了Narayana的代码，以搜索所有列，甚至是数字列。

它会运行得慢一些，但这个版本实际上会找到所有匹配项，而不仅仅是文本列中的匹配项。

我对他感激不尽。省了我好几天徒手找!

CREATE PROC SearchAllTables 
(
@SearchStr nvarchar(100)
)
AS
BEGIN

-- Copyright © 2002 Narayana Vyas Kondreddi. All rights reserved.
-- Purpose: To search all columns of all tables for a given search string
-- Written by: Narayana Vyas Kondreddi
-- Site: http://vyaskn.tripod.com
-- Tested on: SQL Server 7.0 and SQL Server 2000
-- Date modified: 28th July 2002 22:50 GMT


CREATE TABLE #Results (ColumnName nvarchar(370), ColumnValue nvarchar(3630))

SET NOCOUNT ON

DECLARE @TableName nvarchar(256), @ColumnName nvarchar(128), @SearchStr2 nvarchar(110)
SET  @TableName = ''
SET @SearchStr2 = QUOTENAME('%' + @SearchStr + '%','''')

WHILE @TableName IS NOT NULL
BEGIN
    SET @ColumnName = ''
    SET @TableName = 
    (
        SELECT MIN(QUOTENAME(TABLE_SCHEMA) + '.' + QUOTENAME(TABLE_NAME))
        FROM    INFORMATION_SCHEMA.TABLES
        WHERE       TABLE_TYPE = 'BASE TABLE'
            AND QUOTENAME(TABLE_SCHEMA) + '.' + QUOTENAME(TABLE_NAME) > @TableName
            AND OBJECTPROPERTY(
                    OBJECT_ID(
                        QUOTENAME(TABLE_SCHEMA) + '.' + QUOTENAME(TABLE_NAME)
                         ), 'IsMSShipped'
                           ) = 0
    )

    WHILE (@TableName IS NOT NULL) AND (@ColumnName IS NOT NULL)
    BEGIN
        SET @ColumnName =
        (
            SELECT MIN(QUOTENAME(COLUMN_NAME))
            FROM    INFORMATION_SCHEMA.COLUMNS
            WHERE       TABLE_SCHEMA    = PARSENAME(@TableName, 2)
                AND TABLE_NAME  = PARSENAME(@TableName, 1)                  
                AND QUOTENAME(COLUMN_NAME) > @ColumnName
        )

        IF @ColumnName IS NOT NULL
        BEGIN
            INSERT INTO #Results
            EXEC
            (
                'SELECT ''' + @TableName + '.' + @ColumnName + ''', LEFT(CONVERT(varchar(max), ' + @ColumnName + '), 3630) 
                FROM ' + @TableName + ' (NOLOCK) ' +
                ' WHERE CONVERT(varchar(max), ' + @ColumnName + ') LIKE ' + @SearchStr2
            )
        END
    END 
END

SELECT ColumnName, ColumnValue FROM #Results
END

如果您只需要运行一次这样的搜索，那么您可能可以使用其他答案中已经显示的任何脚本。但除此之外，我建议使用ApexSQL搜索。这是一个免费的SSMS插件，它真的为我节省了很多时间。

在运行任何脚本之前，您都应该根据要搜索的数据类型自定义脚本。如果你知道你正在搜索datetime列，那么就没有必要通过nvarchar列进行搜索。这将加快上面所有查询的速度。

到目前为止，我发现的最好和最通用的解决方案是通过管道将db的转储传递给您正在搜索的grep。

例如，Mysql:

mysqldump -pPASSWORD database | grep 'search phrase'

或者如果你得到了太多的结果，你可以把它们输出到一个文件:

mysqldump -pPASSWORD database | grep 'search phrase' > results.txt