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

您可能需要为数据库构建一个倒立索引。它肯定是相当快的。

我正在寻找一个数值= 6.84 -使用这里的其他答案，我能够将我的搜索限制在这个范围内

Declare @sourceTable Table(id INT NOT NULL IDENTITY PRIMARY KEY, table_name varchar(1000), column_name varchar(1000))
Declare @resultsTable Table(id INT NOT NULL IDENTITY PRIMARY KEY, table_name varchar(1000))

Insert into @sourceTable(table_name, column_name)
select schema_name(t.schema_id) + '.' + t.name as[table], c.name as column_name
from sys.columns c
join sys.tables t
on t.object_id = c.object_id
where type_name(user_type_id) in ('decimal', 'numeric', 'smallmoney', 'money', 'float', 'real')
order by[table], c.column_id;

DECLARE db_cursor CURSOR FOR
Select table_name, column_name from @sourceTable
DECLARE @mytablename VARCHAR(1000);
DECLARE @mycolumnname VARCHAR(1000);

OPEN db_cursor;
FETCH NEXT FROM db_cursor INTO @mytablename, @mycolumnname

WHILE @ @FETCH_STATUS = 0
BEGIN
    Insert into @ResultsTable(table_name)
    EXEC('SELECT ''' + @mytablename + '.' + @mycolumnname + '''  FROM ' + @mytablename + ' (NOLOCK) ' +
    ' WHERE ' + @mycolumnname + '=6.84')
    FETCH NEXT FROM db_cursor INTO @mytablename, @mycolumnname  
END;
CLOSE db_cursor;
DEALLOCATE db_cursor;
Select Distinct(table_name) from @ResultsTable

这是我对这个问题的独立看法，我用在我自己的工作中。它可以在SQL2000及更高版本中工作，允许通配符、列过滤，并搜索大多数常规数据类型。

伪代码描述可以选择* from *，其中任何类似'foo'的地方

--------------------------------------------------------------------------------
-- Search all columns in all tables in a database for a string.
-- Does not search: image, sql_variant or user-defined types.
-- Exact search always for money and smallmoney; no wildcards for matching these.
--------------------------------------------------------------------------------
declare @SearchTerm nvarchar(4000) -- Can be max for SQL2005+
declare @ColumnName sysname

--------------------------------------------------------------------------------
-- SET THESE!
--------------------------------------------------------------------------------
set @SearchTerm = N'foo' -- Term to be searched for, wildcards okay
set @ColumnName = N'' -- Use to restrict the search to certain columns, wildcards okay, null or empty string for all cols
--------------------------------------------------------------------------------
-- END SET
--------------------------------------------------------------------------------

set nocount on

declare @TabCols table (
      id int not null primary key identity
    , table_schema sysname not null
    , table_name sysname not null
    , column_name sysname not null
    , data_type sysname not null
)
insert into @TabCols (table_schema, table_name, column_name, data_type)
    select t.TABLE_SCHEMA, c.TABLE_NAME, c.COLUMN_NAME, c.DATA_TYPE
    from INFORMATION_SCHEMA.TABLES t
        join INFORMATION_SCHEMA.COLUMNS c on t.TABLE_SCHEMA = c.TABLE_SCHEMA
            and t.TABLE_NAME = c.TABLE_NAME
    where 1 = 1
        and t.TABLE_TYPE = 'base table'
        and c.DATA_TYPE not in ('image', 'sql_variant')
        and c.COLUMN_NAME like case when len(@ColumnName) > 0 then @ColumnName else '%' end
    order by c.TABLE_NAME, c.ORDINAL_POSITION

declare
      @table_schema sysname
    , @table_name sysname
    , @column_name sysname
    , @data_type sysname
    , @exists nvarchar(4000) -- Can be max for SQL2005+
    , @sql nvarchar(4000) -- Can be max for SQL2005+
    , @where nvarchar(4000) -- Can be max for SQL2005+
    , @run nvarchar(4000) -- Can be max for SQL2005+

while exists (select null from @TabCols) begin

    select top 1
          @table_schema = table_schema
        , @table_name = table_name
        , @exists = 'select null from [' + table_schema + '].[' + table_name + '] where 1 = 0'
        , @sql = 'select ''' + '[' + table_schema + '].[' + table_name + ']' + ''' as TABLE_NAME, * from [' + table_schema + '].[' + table_name + '] where 1 = 0'
        , @where = ''
    from @TabCols
    order by id

    while exists (select null from @TabCols where table_schema = @table_schema and table_name = @table_name) begin

        select top 1
              @column_name = column_name
            , @data_type = data_type
        from @TabCols
        where table_schema = @table_schema
            and table_name = @table_name
        order by id

        -- Special case for money
        if @data_type in ('money', 'smallmoney') begin
            if isnumeric(@SearchTerm) = 1 begin
                set @where = @where + ' or [' + @column_name + '] = cast(''' + @SearchTerm + ''' as ' + @data_type + ')' -- could also cast the column as varchar for wildcards
            end
        end
        -- Special case for xml
        else if @data_type = 'xml' begin
            set @where = @where + ' or cast([' + @column_name + '] as nvarchar(max)) like ''' + @SearchTerm + ''''
        end
        -- Special case for date
        else if @data_type in ('date', 'datetime', 'datetime2', 'datetimeoffset', 'smalldatetime', 'time') begin
            set @where = @where + ' or convert(nvarchar(50), [' + @column_name + '], 121) like ''' + @SearchTerm + ''''
        end
        -- Search all other types
        else begin
            set @where = @where + ' or [' + @column_name + '] like ''' + @SearchTerm + ''''
        end

        delete from @TabCols where table_schema = @table_schema and table_name = @table_name and column_name = @column_name

    end

    set @run = 'if exists(' + @exists + @where + ') begin ' + @sql + @where + ' print ''' + @table_name + ''' end'
    print @run
    exec sp_executesql @run

end

set nocount off

我没有把它放在proc形式中，因为我不想在数百个db中维护它，而且它实际上是用于临时工作的。请随意评论错误修复。

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

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';