如果你安装了phpMyAdmin，使用它的“搜索”功能。

选择您的数据库 确保你有一个DB选择(即不是一个表，否则你会得到一个完全不同的搜索对话框) 点击“搜索”标签 选择您想要的搜索词 选择要搜索的表

我在250个表/10GB的数据库上使用过这个功能(在一个快速的服务器上)，响应时间非常惊人。

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。

这个解决方案 a)只有MySQL，不需要其他语言，并且 b)返回SQL结果，准备处理!

#Search multiple database tables and/or columns
#Version 0.1 - JK 2014-01
#USAGE: 1. set the search term @search, 2. set the scope by adapting the WHERE clause of the `information_schema`.`columns` query
#NOTE: This is a usage example and might be advanced by setting the scope through a variable, putting it all in a function, and so on...

#define the search term here (using rules for the LIKE command, e.g % as a wildcard)
SET @search = '%needle%';

#settings
SET SESSION group_concat_max_len := @@max_allowed_packet;

#ini variable
SET @sql = NULL;

#query for prepared statement
SELECT
    GROUP_CONCAT("SELECT '",`TABLE_NAME`,"' AS `table`, '",`COLUMN_NAME`,"' AS `column`, `",`COLUMN_NAME`,"` AS `value` FROM `",TABLE_NAME,"` WHERE `",COLUMN_NAME,"` LIKE '",@search,"'" SEPARATOR "\nUNION\n") AS col
INTO @sql
FROM `information_schema`.`columns`
WHERE TABLE_NAME IN
(
    SELECT TABLE_NAME FROM `information_schema`.`columns`
    WHERE
        TABLE_SCHEMA IN ("my_database")
        && TABLE_NAME IN ("my_table1", "my_table2") || TABLE_NAME LIKE "my_prefix_%"
);

#prepare and execute the statement
PREPARE stmt FROM @sql;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;

这是检索所有列和表的最简单的查询

SELECT * FROM information_schema.`COLUMNS` C WHERE TABLE_SCHEMA = 'YOUR_DATABASE'

在phpMyAdmin中，可以通过搜索选项卡搜索所有表或名称中有特定字符串的表。

有良好的查询…\ ^ ^ /

这是我知道的最简单的方法。 在PHPMyAdmin中选择你的DB，然后转到“搜索”选项卡，写下你想要找到的内容以及你要搜索的位置。如果要从所有表中搜索单词，则选择所有表。然后“开始”，看看结果。

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