我目前从不同的表中获取 200 万条记录来生成用于创建站点地图的 URL。该脚本消耗了太多资源并使用了 100% 的服务器性能
查询
SELECT CONCAT("/url/profile/id/",u.id,"/",nickname) as url FROM users AS u
UNION ALL
Select CONCAT("url/city/", c.id, "/paramId/",p.id,"/",Replace(p.title, " ", "+"),"/",r.region_Name,"/",c.city_Name) AS url
From city c
Join region r On r.id = c.id_region
Join country country On country.id = c.id_country
cross join param p
Where country.used = 1
And p.active = 1
//我将其存储在数组 $url_list 中,然后处理创建站点地图..但这需要时间和大量资源
//我尝试使用LIMIT 0,50000
批量获取数据
但获得分页的最大行数需要时间。而且代码看起来不太好,因为我必须运行两个具有大量数据的查询
$url_list = array();
$maxrow = SELECT COUNT(*) AS max from (
SELECT CONCAT("/url/profile/id/",u.id,"/",nickname) as url FROM users AS u
UNION ALL
Select CONCAT("url/city/", c.id, "/paramId/",p.id,"/",Replace(p.title, " ", "+"),"/",r.region_Name,"/",c.city_Name) AS url
From city c
Join region r On r.id = c.id_region
Join country country On country.id = c.id_country
cross join param p
Where country.used = 1
And p.active = 1) as tmp
$limit = 50,000;
$bybatch = ceil($maxrow/$limit);
$start = 0;
for($i = 0;$i < $bybatch; $i++){
// run query and store to $result
(SELECT CONCAT("/url/profile/id/",u.id,"/",nickname) as url FROM users AS u
UNION ALL
Select CONCAT("url/city/", c.id, "/paramId/",p.id,"/",Replace(p.title, " ", "+"),"/",r.region_Name,"/",c.city_Name) AS url
From city c
Join region r On r.id = c.id_region
Join country country On country.id = c.id_country
cross join param p
Where country.used = 1
And p.active = 1 LIMIT $start,$limit);
$start += $limit;
//push to $url_list
$url_list = array_push($result);
}
//完成后我用它来创建站点地图
$linkCount = 1;
$fileNomb = 1;
$i = 0;
foreach ($url_list as $ul) {
$i += 1;
if ($linkCount == 1) {
$doc = new DOMDocument('1.0', 'utf-8');
$doc->formatOutput = true;
$root = $doc->createElementNS('http://www.sitemaps.org/schemas/sitemap/0.9', 'urlset');
$doc->appendChild($root);
}
$url= $doc->createElement("url");
$loc= $doc->createElement("loc", $ul['url']);
$url->appendChild($loc);
$priority= $doc->createElement("priority",1);
$url->appendChild($priority);
$root->appendChild($url);
$linkCount += 1;
if ($linkCount == 49999) {
$f = fopen($this->siteMapMulti . $fileNomb .'.xml', "w");
fwrite($f,$doc->saveXML());
fclose($f);
$linkCount = 1;
$fileNomb += 1;
}
}
有更好的方法吗?或者加快性能?
已添加
为什么这样比sql查询快,却消耗了100%的服务器资源和性能
$this->db->query('SELECT c.id, c.city_name, r.region_name, cr.country_name FROM city AS c, region AS r, country AS cr WHERE r.id = c.id_region AND cr.id = c.id_country AND cr.id IN (SELECT id FROM country WHERE use = 1)');
$arrayCity = $this->db->recordsArray(MYSQL_ASSOC);
$this->db->query('SELECT id, title FROM param WHERE active = 1');
$arrayParam = $this->db->recordsArray(MYSQL_ASSOC);
foreach ($arrayCity as $city) {
foreach ($arrayParam as $param) {
$paramTitle = str_replace(' ', '+', $param['title']);
$url = 'url/city/'. $city['id'] .'/paramId/'. $param['id'] .'/'. $paramTitle .'/'. $city['region_name'] .'/'. $city['city_name'];
$this->addChild($url);
}
}
最佳答案
我建议您不要使用UNION
,而只发出两个单独的查询。它将加快查询本身的速度。
另外,正如您上面提到的,批量获取数据是个好主意。
最后,不要收集内存中的所有数据。立即将其写入循环中的文件。
只需在开头打开文件,循环写入每个 URL 条目,最后关闭文件。
—打开文件进行写入
——统计查询用户表
— 在循环中使用 LIMIT
进行多次选择(正如您已经完成的那样)
——在循环中while ($row = mysql_fetch_array())
将每一行写入文件
然后对另一个表重复这样的算法。 实现一个将数据写入文件的函数会很有用,因此您可以调用该函数并遵守 DRY原则。
关于php - MySQL选择百万条记录生成url,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/19107743/