我想要循環超過200,000個用戶數據集來過濾30,000個產品,我如何優化這個嵌套的大循環以獲得最佳性能?重構循環?
//settings , 5 max per user, can up to 200,000
$settings = array(...);
//all prods, up to 30,000
$prods = array(...);
//all prods category relation map, up to 2 * 30,000
$prods_cate_ref_all = array(...);
//msgs filtered by settings saved yesterday , more then 100 * 200,000
$msg_all = array(...);
//filter counter
$j = 0;
//filter result
$res = array();
foreach($settings as $set){
foreach($prods as $k=>$p){
//filter prods by site_id
if ($set['site_id'] != $p['site_id']) continue;
//filter prods by city_id , city_id == 0 is all over the country
if ($set['city_id'] != $p['city_id'] && $p['city_id'] > 0) continue;
//muti settings of a user may get same prods
if (prod_in($p['id'], $set['uuid'], $res)) continue;
//prods filtered by settings saved to msg table yesterday
if (msg_in($p['id'], $set['uuid'], $msg_all)) continue;
//filter prods by category id
if (!prod_cate_in($p['id'], $set['cate_id'], $prods_cate_ref_all)) continue;
//filter prods by tags of set not in prod title, website ...
$arr = array($p['title'], $p['website'], $p['detail'], $p['shop'], $p['tags']);
if (!tags_in($set['tags'], $arr)) continue;
$res[$j]['name'] = $v['name'];
$res[$j]['prod_id'] = $p['id'];
$res[$j]['uuid'] = $v['uuid'];
$res[$j]['msg'] = '...';
$j++;
}
}
save_to_msg($res);
function prod_in($prod_id, $uuid, $prod_all){
foreach($prod_all as $v){
if ($v['prod_id'] == $prod_id && $v['uuid'] == $uuid)
return true;
}
return false;
}
function prod_cate_in($prod_id, $cate_id, $prod_cate_all){
foreach($prod_cate_all as $v){
if ($v['prod_id'] == $prod_id && $v['cate_id'] == $cate_id)
return true;
}
return false;
}
function tags_in($tags, $arr){
$tag_arr = explode(',', str_replace(',', ',', $tags));
foreach($tag_arr as $v){
foreach($arr as $a){
if(strpos($a, strtolower($v)) !== false){
return true;
}
}
}
return false;
}
function msg_in($prod_id, $uuid, $msg_all){
foreach($msg_all as $v){
if ($v['prod_id'] == $prod_id && $v['uuid'] == $uuid)
return true;
}
return false;
}
更新: 非常感謝。 是的,數據是在MySQL中,以下是主要結構:
-- user settings to filter prods, 5 max per user
CREATE TABLE setting(
id INT NOT NULL AUTO_INCREMENT,
uuid VARCHAR(100) NOT NULL DEFAULT '',
tags VARCHAR(100) NOT NULL DEFAULT '',
site_id SMALLINT UNSIGNED NOT NULL DEFAULT 0,
city_id MEDIUMINT UNSIGNED NOT NULL DEFAULT 0,
cate_id MEDIUMINT UNSIGNED NOT NULL DEFAULT 0,
addtime INT UNSIGNED NOT NULL DEFAULT 0,
PRIMARY KEY (`id`),
KEY `idx_setting_uuid` (`uuid`),
KEY `idx_setting_tags` (`tags`),
KEY `idx_setting_city_id` (`city_id`),
KEY `idx_setting_cate_id` (`cate_id`)
) DEFAULT CHARSET=utf8;
CREATE TABLE users(
id INT NOT NULL AUTO_INCREMENT,
uuid VARCHAR(100) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
UNIQUE KEY `idx_unique_uuid` (`uuid`)
) DEFAULT CHARSET=utf8;
-- filtered prods
CREATE TABLE msg_list(
id INT NOT NULL AUTO_INCREMENT,
uuid VARCHAR(100) NOT NULL DEFAULT '',
prod_id INT UNSIGNED NOT NULL DEFAULT 0,
msg TEXT NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `idx_ml_uuid` (`uuid`)
) DEFAULT CHARSET=utf8;
-- prods and prod_cate_ref table in another database, so can not join it
CREATE TABLE prod(
id INT NOT NULL AUTO_INCREMENT,
website VARCHAR(100) NOT NULL DEFAULT '' COMMENT ' site name ',
site_id MEDIUMINT UNSIGNED NOT NULL DEFAULT 0,
city_id MEDIUMINT UNSIGNED NOT NULL DEFAULT 0,
title VARCHAR(50) NOT NULL DEFAULT '',
tags VARCHAR(50) NOT NULL DEFAULT '',
detail VARCHAR(500) NOT NULL DEFAULT '',
shop VARCHAR(300) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `idx_prod_tags` (`tags`),
KEY `idx_prod_site_id` (`site_id`),
KEY `idx_prod_city_id` (`city_id`),
KEY `idx_prod_mix` (`site_id`,`city_id`,`tags`)
) DEFAULT CHARSET=utf8;
CREATE TABLE prod_cate_ref(
id MEDIUMINT NOT NULL AUTO_INCREMENT,
prod_id INT NOT NULL NULL DEFAULT 0,
cate_id MEDIUMINT NOT NULL NULL DEFAULT 0,
PRIMARY KEY (`id`),
KEY `idx_pcr_mix` (`prod_id`,`cate_id`)
) DEFAULT CHARSET=utf8;
-- ENGINE all is myisam
我不知道如何只使用一個SQL來獲取所有。
我假設你從數據庫中獲取這個數據。我還假設你正在使用SQL數據庫。那爲什麼不使用'JOINs'和'WHERE'子句呢? – NullUserException
你從哪裏得到設置?數據庫? – svick
這是一個很重要的數據存儲在PHP數組中。這是從數據庫或其他東西出來的嗎? –