有一个很好的图书馆可以阅读所有表格，ridona

$database = new ridona\Database('mysql:dbname=database_name;host=127.0.0.1', 'db_user','db_pass');

foreach ($database->tables()->by_entire() as $row) {

....do

}

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;-]

您可以对数据库(及其数据)执行SQLDump，然后搜索该文件。

我修改了一点Olivier的PHP答案:

print out the results in which the string was found omit tables without results also show output if column names match the search input show total number of results function searchAllDB($search){ global $mysqli; $out = ""; $total = 0; $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()){ $colum = $r2[0]; $sql_search_fields[] = $colum." like('%".$search."%')"; if(strpos($colum,$search)) { echo "FIELD NAME: ".$colum."\n"; } } $rs2->close(); } $sql_search .= implode(" OR ", $sql_search_fields); $rs3 = $mysqli->query($sql_search); if($rs3 && $rs3->num_rows > 0) { $out .= $table.": ".$rs3->num_rows."\n"; if($rs3->num_rows > 0){ $total += $rs3->num_rows; $out.= print_r($rs3->fetch_all(),1); $rs3->close(); } } } $out .= "\n\nTotal results:".$total; $rs->close(); } return $out; }

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>";

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)