HeidiSQL是一个实用可靠的工具，专为使用流行的MySQL服务器的web开发人员设计。

在HeidiSQL中，您可以按shift + ctrl + f，您可以在服务器上的所有表中找到文本。这个选项非常有用。

我已经使用HeidiSQL做到了这一点。 它不容易找到，但按Ctrl+Shift+F它会显示“表格工具”对话框。然后选择要搜索的内容(全库到单表)，输入“要查找的文本”值，点击“查找”。我发现它惊人的快(不到一分钟870MiB db)

我也做了我自己的mysql爬虫来搜索一些wordpress配置，在界面和数据库中都无法找到它，数据库转储太沉重和不可读。我得说我现在不能没有它。

它的工作原理类似于@Olivier，但它管理外来的数据库/表名，并且是像小丑一样安全。

<?php

$database = 'database';
$criteria = '*iemblo'; // you can use * and ? as jokers

$dbh = new PDO("mysql:host=127.0.0.1;dbname={$database};charset=utf8", 'root', '');
$dbh->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);

$tables = $dbh->query("SHOW TABLES");
while (($table = $tables->fetch(PDO::FETCH_NUM)) !== false)
{
    $fields = $dbh->prepare("SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA = ? AND TABLE_NAME = ?");
    $fields->execute(array ($database, $table[0]));

    $ors = array ();
    while (($field = $fields->fetch(PDO::FETCH_NUM)) !== false)
    {
        $ors[] = str_replace("`", "``", $field[0]) . " LIKE REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(:search, '\\\\', '\\\\\\\\'), '%', '\\%'), '_', '\\_'), '*', '%'), '?', '_')";
    }

    $request = 'SELECT * FROM ';
    $request .= str_replace("`", "``", $table[0]);
    $request .= ' WHERE ';
    $request .= implode(' OR ', $ors);
    $rows = $dbh->prepare($request);

    $rows->execute(array ('search' => $criteria));

    $count = $rows->rowCount();
    if ($count == 0)
    {
        continue;
    }

    $str = "Table '{$table[0]}' contains {$count} rows matching '{$criteria}'.";
    echo str_repeat('-', strlen($str)), PHP_EOL;
    echo $str, PHP_EOL;
    echo str_repeat('-', strlen($str)), PHP_EOL;

    $counter = 1;
    while (($row = $rows->fetch(PDO::FETCH_ASSOC)) !== false)
    {
        $col = 0;
        $title = "Row #{$counter}:";
        echo $title;
        foreach ($row as $column => $value)
        {
            echo
            (($col++ > 0) ? str_repeat(' ', strlen($title) + 1) : ' '),
            $column, ': ',
            trim(preg_replace('!\s+!', ' ', str_replace(array ("\r", "\t", "\n"), array ("", "", " "), $value))),
            PHP_EOL;
        }
        echo PHP_EOL;
        $counter++;
    }
}

运行这个脚本可以输出如下内容:

---------------------------------------------------
Table 'customers' contains 1 rows matching '*iemblo'.
---------------------------------------------------
Row #1: email_client: my@email.com
        numero_client_compta: C05135
        nom_client: Tiemblo
        adresse_facturation_1: 151, My Street
        adresse_facturation_2: 
        ville_facturation: Nantes
        code_postal_facturation: 44300
        pays_facturation: FR
        numero_tva_client: 
        zone_geographique: UE
        prenom_client: Alain
        commentaires: 
        nom_societe: 
        email_facturation: my@email.com

即使下面的建议不应该被认为是最终的解决方案，你也可以通过这样做来实现目标:

SET SESSION group_concat_max_len = 1000000;
SET @search = 'Text_To_Search';

DROP table IF EXISTS table1;
CREATE TEMPORARY TABLE table1 AS 
(SELECT 
    CONCAT('SELECT \'',TABLE_NAME,'\' as \'table_name\',\'',COLUMN_NAME,'\' as \'column_name\',CONVERT(count(*),char) as \'matches\' FROM `',
    TABLE_NAME,'` where `',COLUMN_NAME,'` like \'%',@search,'%\' UNION ') as 'query'
FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA = 'db_name' limit 1000000);

set @query = (SELECT GROUP_CONCAT(t1.`query` SEPARATOR '') as 'final_query' from table1 t1 limit 1);
set @query = (SELECT SUBSTRING(@query, 1, length(@query) - 7));

PREPARE stmt FROM @query;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;

请记住:

选项:group_concat_max_len和limit 1000000并不总是必需的，这将取决于您的服务器/IDE配置。以防我加进去。 执行此命令后，您将得到一个3列响应:[table_name]， [column_name]， [matches] 列'matches'是给定表/列中出现的次数。 这个查询非常快。

免责声明:它只对个人使用有用，换句话说，请不要在生产系统中使用它，因为考虑到搜索参数与其他字符串连接，它对SQL注入攻击很敏感。 如果你想创建一个prod. ready函数，那么你需要创建一个带有LOOP的存储过程。

使用实例在CLI下搜索数据库所有表中的字符串。

mysqldump -u UserName --no-create-info --extended-insert=FALSE DBName -p | grep -i "searchingString"

Or,

mysqldump -u UserName --no-create-info --extended-insert=FALSE DBName -p | grep -i "searchingString" > searchingString.sql

这是我的解决方案

DROP PROCEDURE IF EXISTS findAll;
CREATE PROCEDURE `findAll`( IN `tableName` VARCHAR( 28 ) , IN `search` TEXT )
BEGIN
       DECLARE finished INT DEFAULT FALSE ;
       DECLARE columnName VARCHAR ( 28 ) ;
       DECLARE stmtFields TEXT ;
       DECLARE columnNames CURSOR FOR
              SELECT DISTINCT `COLUMN_NAME` FROM `information_schema`.`COLUMNS`
              WHERE `TABLE_NAME` = tableName ORDER BY `ORDINAL_POSITION` ;
       DECLARE CONTINUE HANDLER FOR NOT FOUND SET finished = TRUE;
       SET stmtFields = '' ;
       OPEN columnNames ;
       readColumns: LOOP
              FETCH columnNames INTO columnName ;
              IF finished THEN
                     LEAVE readColumns ;
              END IF;
              SET stmtFields = CONCAT(
                     stmtFields , IF ( LENGTH( stmtFields ) > 0 , ' OR' , ''  ) ,
                     ' `', tableName ,'`.`' , columnName , '` REGEXP "' , search , '"'
              ) ;
       END LOOP;
       SET @stmtQuery := CONCAT ( 'SELECT * FROM `' , tableName , '` WHERE ' , stmtFields ) ;
       PREPARE stmt FROM @stmtQuery ;
       EXECUTE stmt ;
       CLOSE columnNames ;
END;