我目前正在将我的定制网站重新开发为 WordPress 驱动的 CMS。
我一直在做的网站只是我现有的 URL plus /dev/
,即http://my.website.com/dev/
.
我将把这个网站http://my.website.com
移到周末,因此需要删除对/dev/
URL 的所有引用。
基本上,我想做的是/dev
对我的数据库进行“查找和替换”。我可以确切地看到哪些表具有此值,但是根据 WordPress 安装,很多这些字段自然是序列化数据 - 一个简单的dump
> open with notepad++
>find & replace
会破坏。
我为此目的开发的代码在这里:
<?php
$look_at[] = array( "table" => "wp_options", "fields" => array( "option_value" ), "id_field" => "option_id" );
$look_at[] = array( "table" => "wp_postmeta", "fields" => array( "meta_value" ), "id_field" => "meta_id" );
$look_at[] = array( "table" => "wp_posts", "fields" => array( "post_content", "guid" ), "id_field" => "ID" );
$look_at[] = array( "table" => "wp_sfmeta", "fields" => array( "meta_value" ), "id_field" => "meta_id" );
$look_at[] = array( "table" => "wp_sfoptions", "fields" => array( "option_value" ), "id_field" => "option_id" );
$look_at[] = array( "table" => "wp_sferrorlog", "fields" => array( "error_text" ), "id_field" => "id" );
for ( $i = 0; $i < sizeof ( $look_at ); $i++ ) {
foreach( $look_at[$i]["fields"] as $field ) {
$sql = 'SELECT `' . $field . '`, `' . $look_at[$i]["id_field"] . '` FROM `' . $look_at[$i]["table"] . '`;';
$res = mysql_query( $sql );
while ( $row = mysql_fetch_assoc( $res ) ) {
$table = $look_at[$i]["table"];
$id_field = $look_at[$i]["id_field"];
$old_val = $row[$field];
$id = $row[$id_field];
$unserialized_value = @unserialize( $old_val );
if ( $old_val === 'b:0;' || $unserialized_value !== false )
$new_val = serialize( str_replace( array( "/dev/", "/dev" ), array( "/", "" ), $unserialized_value ) );
else
$new_val = str_replace( array( "/dev/", "/dev" ), array( "/", "" ), $old_val );
$update_array[] = array( "id_field" => $id_field, "id" => $id, "table" => $table, "key" => $key, "old_val" => $old_val, "new_val" => $new_val );
}
}
}
for ( $i = 0; $i < sizeof( $update_array ); $i++ ) {
if ( $update_array[$i]["old_val"] !== $update_array[$i]["new_val"] )
$updated_sql .= 'UPDATE ' . $update_array[$i]["table"] . ' SET `' . $update_array[$i]["key"] . '` = \'' . $update_array[$i]["new_val"] . '\' WHERE `' . $update_array[$i]["id_field"] . '` = \'' . $update_array[$i]["id"] . '\';';
}
mysql_query( $updated_sql );
?>
序列化数据示例:
a:6:{s:5:"width";s:3:"400";s:6:"height";s:3:"530";s:14:"hwstring_small";s:22:"height='96' width='72'";s:4:"file";s:30:"2011/12/Amazonas-English-1.jpg";s:5:"sizes";a:13:{s:9:"thumbnail";a:3:{s:4:"file";s:30:"Amazonas-English-1-125x165.jpg";s:5:"width";s:3:"125";s:6:"height";s:3:"165";}s:6:"medium";a:3:{s:4:"file";s:30:"Amazonas-English-1-339x450.jpg";s:5:"width";s:3:"339";s:6:"height";s:3:"450";}s:5:"large";s:0:"";s:14:"post-thumbnail";a:3:{s:4:"file";s:30:"Amazonas-English-1-125x165.jpg";s:5:"width";s:3:"125";s:6:"height";s:3:"165";}s:23:"indexleft-species-thumb";a:3:{s:4:"file";s:30:"Amazonas-English-1-200x265.jpg";s:5:"width";s:3:"200";s:6:"height";s:3:"265";}s:13:"species-thumb";a:3:{s:4:"file";s:30:"Amazonas-English-1-288x381.jpg";s:5:"width";s:3:"288";s:6:"height";s:3:"381";}s:17:"indexheader-thumb";a:5:{s:4:"file";s:30:"Amazonas-English-1-400x300.jpg";s:5:"width";s:3:"400";s:6:"height";s:3:"300";s:4:"path";s:38:"2011/12/Amazonas-English-1-400x300.jpg";s:3:"url";s:88:"http://www.xxxxxxxxxxx.com/dev/wp-content/uploads/2011/12/Amazonas-English-1-400x300.jpg";}s:14:"random-thumb-1";a:3:{s:4:"file";s:28:"Amazonas-English-1-56x75.jpg";s:5:"width";s:2:"56";s:6:"height";s:2:"75";}s:14:"random-thumb-2";a:3:{s:4:"file";s:29:"Amazonas-English-1-75x100.jpg";s:5:"width";s:2:"75";s:6:"height";s:3:"100";}s:14:"random-thumb-3";a:3:{s:4:"file";s:29:"Amazonas-English-1-94x125.jpg";s:5:"width";s:2:"94";s:6:"height";s:3:"125";}s:14:"random-thumb-4";a:3:{s:4:"file";s:30:"Amazonas-English-1-113x150.jpg";s:5:"width";s:3:"113";s:6:"height";s:3:"150";}s:14:"random-thumb-5";a:3:{s:4:"file";s:30:"Amazonas-English-1-132x175.jpg";s:5:"width";s:3:"132";s:6:"height";s:3:"175";}s:13:"d4p-bbp-thumb";s:0:"";}s:10:"image_meta";a:10:{s:8:"aperture";s:1:"0";s:6:"credit";s:0:"";s:6:"camera";s:0:"";s:7:"caption";s:0:"";s:17:"created_timestamp";s:1:"0";s:9:"copyright";s:0:"";s:12:"focal_length";s:1:"0";s:3:"iso";s:1:"0";s:13:"shutter_speed";s:1:"0";s:5:"title";s:0:"";}}
附加编辑
不幸的是,在其他序列化数组中还有其他实例/dev/
,例如这个例子:
'a:1:{i:0;a:5:{s:4:"type";s:5:"image";s:3:"loc";s:107:"/home/xxxxx/domains/xxxxxxxxx.com/public_html/dev/wp-content/sp-resources/forum-image-uploads/matt/2012/01/";...
或者,
a:1:{i:0;a:5:{s:4:"data";s:88:"Your search - <b>link:http://www.xxxxxxxxx.com/dev/</b> - did not match any documents. ";...
因此,我不认为一个简单的preg_replace
(或回调)会成功,但我想一个高级的可能?
我的问题是:
- 有没有更简单的方法来做到这一点?!
- 上面的代码会遇到什么问题吗?
我很难预见我的代码会出现问题(糟糕的程序员,我深表歉意),因此对使用此代码运行测试有点担心。
最后编辑:工作代码
因为我的 SQL 转储几乎是100mb
,所以我不得不使用具有无限内存的 WAMP。
<?php
error_reporting(E_ALL);
ini_set('display_errors', 'On');
ini_set('memory_limit', '-1');
$handle = @fopen("amend-this.sql", "r");
if ($handle) {
while (($buffer = fgets($handle, 4096)) !== false) {
$newLine = preg_replace_callback('@s:(\d+)(:\\\"[^"]*www.seriouslyfish\.com)/dev@', create_function('$matches', 'return \'s:\'.($matches[1] - 4).$matches[2];'), $buffer);
$newLine = preg_replace_callback('@s:(\d+)(:\\\"[^\\\"]*/home/sfish/domains/seriouslyfish\.com/public_html)/dev@', create_function('$matches', 'return \'s:\'.($matches[1] - 4).$matches[2];'), $newLine);
$newLine = str_replace('http://dunc.seriouslyfish.com/dev/', 'http://www.seriouslyfish.com/', $newLine);
$newLine = str_replace('http://www.seriouslyfish.com/dev/', 'http://www.seriouslyfish.com/', $newLine);
$newLine = str_replace('/dev', '', $newLine);
file_put_contents( "amended.sql", $newLine, FILE_APPEND );
}
fclose($handle);
}
?>
此代码将我的新 SQL 文件放入同一目录 ( X:\wamp\www
) 中,以便我进一步操作。
我在数据重复方面遇到了一些问题,/dev
由于某种原因,文件中仍有 67 个实例,但我使用Notepad++和WinMerge对所有这些进行了整理,最后我花了大约 45 分钟来搜索/替换超过 9000 万个字符的数据库。