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。

我要用这个。你只需要改变变量

$query ="SELECT `column_name` FROM `information_schema`.`columns` WHERE `table_schema`='" . $_SESSION['db'] . "' AND `table_name`='" . $table . "' ";
$stmt = $dbh->prepare($query);
$stmt->execute(); 
$columns = $stmt->fetchAll(PDO::FETCH_ASSOC);       

$query="SELECT name FROM `" . $database . "`.`" . $table . "` WHERE ( ";
foreach ( $columns as $column ) {
    $query .=" CONVERT( `" . $column['column_name'] . "` USING utf8 ) LIKE '%" . $search . "%' OR ";
}
$query = substr($query, 0, -3);
$query .= ")";

echo $query . "<br>";
$stmt=$dbh->prepare($query);
$stmt->execute();
$results = $stmt->fetchAll(PDO::FETCH_ASSOC);
echo "<pre>";
print_r ($results );
echo "</pre>";

PHP函数:

function searchAllDB($search){
    global $mysqli;
    
    $out = Array();
    
    $sql = "show tables";
    $rs = $mysqli->query($sql);
    if($rs->num_rows > 0){
        while($r = $rs->fetch_array()){
            $table = $r[0];
            $sql_search = "select * from `".$table."` where ";
            $sql_search_fields = Array();
            $sql2 = "SHOW COLUMNS FROM `".$table."`";
            $rs2 = $mysqli->query($sql2);
            if($rs2->num_rows > 0){
                while($r2 = $rs2->fetch_array()){
                    $column = $r2[0];
                    $sql_search_fields[] = "`".$column."` like('%".$mysqli->real_escape_string($search)."%')";
                }
                $rs2->close();
            }
            $sql_search .= implode(" OR ", $sql_search_fields);
            $rs3 = $mysqli->query($sql_search);
            $out[$table] = $rs3->num_rows."\n";
            if($rs3->num_rows > 0){
                $rs3->close();
            }
        }
        $rs->close();
    }
    
    return $out;
}

print_r(searchAllDB("search string"));

如果您像躲避瘟疫一样避免存储过程，或者由于权限而无法执行mysql_dump，或者遇到其他各种原因。

我建议采用如下三步法:

1)该查询构建了一堆查询作为结果集。

# =================
# VAR/CHAR SEARCH
# =================
# BE ADVISED USE ANY OF THESE WITH CAUTION
# DON'T RUN ON YOUR PRODUCTION SERVER 
# ** USE AN ALTERNATE BACKUP **

SELECT 
    CONCAT('SELECT * FROM ', A.TABLE_SCHEMA, '.', A.TABLE_NAME, 
           ' WHERE ', A.COLUMN_NAME, ' LIKE \'%stuff%\';') 
FROM INFORMATION_SCHEMA.COLUMNS A
WHERE 
            A.TABLE_SCHEMA != 'mysql' 
AND     A.TABLE_SCHEMA != 'innodb' 
AND     A.TABLE_SCHEMA != 'performance_schema' 
AND     A.TABLE_SCHEMA != 'information_schema'
AND     
        (
            A.DATA_TYPE LIKE '%text%'
        OR  
            A.DATA_TYPE LIKE '%char%'
        )
;

.

# =================
# NUMBER SEARCH
# =================
# BE ADVISED USE WITH CAUTION

SELECT 
    CONCAT('SELECT * FROM ', A.TABLE_SCHEMA, '.', A.TABLE_NAME, 
           ' WHERE ', A.COLUMN_NAME, ' IN (\'%1234567890%\');') 
FROM INFORMATION_SCHEMA.COLUMNS A
WHERE 
            A.TABLE_SCHEMA != 'mysql' 
AND     A.TABLE_SCHEMA != 'innodb' 
AND     A.TABLE_SCHEMA != 'performance_schema' 
AND     A.TABLE_SCHEMA != 'information_schema'
AND     A.DATA_TYPE IN ('bigint','int','smallint','tinyint','decimal','double')
;

.

# =================
# BLOB SEARCH
# =================
# BE ADVISED THIS IS CAN END HORRIFICALLY IF YOU DONT KNOW WHAT YOU ARE DOING
# YOU SHOULD KNOW IF YOU HAVE FULL TEXT INDEX ON OR NOT
# MISUSE AND YOU COULD CRASH A LARGE SERVER
SELECT 
    CONCAT('SELECT CONVERT(',A.COLUMN_NAME, ' USING utf8) FROM ', A.TABLE_SCHEMA, '.', A.TABLE_NAME, 
           ' WHERE CONVERT(',A.COLUMN_NAME, ' USING utf8) IN (\'%someText%\');') 
FROM INFORMATION_SCHEMA.COLUMNS A
WHERE 
            A.TABLE_SCHEMA != 'mysql' 
AND     A.TABLE_SCHEMA != 'innodb' 
AND     A.TABLE_SCHEMA != 'performance_schema' 
AND     A.TABLE_SCHEMA != 'information_schema'
AND     A.DATA_TYPE LIKE '%blob%'
;

结果应该是这样的:

2)然后只需右键单击并使用复制行(标签分隔)

3)将结果粘贴到一个新的查询窗口，并运行到您的心脏内容。

详细信息:我排除了通常在工作台中看不到的系统模式，除非选中了显示元数据和内部模式选项。

我这样做是为了提供一种快速的方法来分析整个主机或DB(如果需要的话)，或者运行OPTIMIZE语句来支持性能改进。

我相信你可以有不同的方法来做到这一点，但以下是对我有用的方法:

-- ========================================== DYNAMICALLY FIND TABLES AND CREATE A LIST OF QUERIES IN THE RESULTS TO ANALYZE THEM
SELECT CONCAT('ANALYZE TABLE ', TABLE_SCHEMA, '.', TABLE_NAME, ';') FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA = 'dbname';

-- ========================================== DYNAMICALLY FIND TABLES AND CREATE A LIST OF QUERIES IN THE RESULTS TO OPTIMIZE THEM
SELECT CONCAT('OPTIMIZE TABLE ', TABLE_SCHEMA, '.', TABLE_NAME, ';') FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA = 'dbname';

MySQL版本:5.6.23 警告:如果出现以下情况，请不要运行此命令: 您担心会导致表锁(密切关注您的客户端连接) 你不确定你在做什么。 你在试图激怒你的DBA。(你的办公桌前可能已经有人了。)

干杯，杰伊;-]

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

MySQL工作台

这里有一些说明。

下载并安装MSQL Workbench。

https://www.mysql.com/products/workbench/

安装时，可能需要安装Visual Studio c++ Redistributable。你可以在这里买到:

https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads

x64: vc_redist.x64.exe(适用于64位Windows)

打开MySQL Workbench时，必须输入主机名、用户名和密码。

在侧菜单栏上有一个Schemas选项卡，单击Schemas选项卡，然后双击数据库以选择要搜索的数据库。

然后转到菜单数据库-搜索数据，并输入你要搜索的文本，单击开始搜索。

海蒂SQLl

下载并安装HeidiSql https://www.heidisql.com/download.php

输入主机名、用户名和密码。

按Ctrl+Shift+F搜索文本。