問題描述
每次在下面的函數中調用 WP_Query() 時,Wordpress 會泄漏 8 兆的內存。而且,由於我調用這個函數很多東西很快就會變得很漂亮 (:(我已經嘗試取消設置結果 $ queryObject 以及週期性地調用 wp_cache_flush(),但是似乎沒有任何效果。
function get_post_ids_in_taxonomies($taxonomies, &$terms=array()) {
$post_ids = array();
$query = gen_query_get_posts_in_taxonomies($taxonomies, $terms);
// var_dump($query);
//Perform the query
$queryObject = new WP_Query($query); //*****THE 8 MEGABYTES IS LEAKED HERE*****
//For all posts found...
if($queryObject->have_posts()) {
while($queryObject->have_posts()) {
$queryObject->the_post();
//Get the $post_id by capturing the output of the_ID()
ob_start();
the_ID();
$post_id = (int) ob_get_contents();
ob_end_clean();
// echo $post_id."n";
$post_ids[] = $post_id;
}
}
unset($queryObject);
return $post_ids;
}
gen_query_get_posts_in_taxonomies() 是:
function gen_query_get_posts_in_taxonomies($taxonomies, &$terms=array()) {
//General query params
$query = array(
'posts_per_page' => -1, //Get all posts (no paging)
'tax_query' => array('relation' => 'OR'),
);
//Add the specific taxonomies and terms onto $query['tax_query']
foreach($taxonomies as $tax) {
//Get terms in the taxonomies if we haven't yet
if(!array_key_exists($tax, $terms)) {
$terms[$tax] = array();
$terms_tmp = get_terms($tax);
foreach($terms_tmp as $tt)
$terms[$tax][] = $tt->term_taxonomy_id;
}
$query['tax_query'][] = array(
'taxonomy' => $tax,
'terms' => $terms[$tax],
'field' => 'term_taxonomy_id',
);
}
return $query;
}
最佳解決方案
對 WP 黑客很有反應:http://lists.automattic.com/pipermail/wp-hackers/2012-June/043213.html
What you’re doing with that query, is loading EVERY matching post into memory, including the full post contents. As you can imagine, this is probably quite a lot of items.
You can pass ‘fields’ => ‘ids’ into WP_Query to simply return a list of matching post_ids instead, which should reduce the memory (and processing time) significantly:
http://codex.wordpress.org/Class_Reference/WP_Query#Post_Field_Parameters
次佳解決方案
在研究這個 memory 問題的同時,絆倒了這裏。
在這種情況下,您可以使用 get_the_id 而不是使用緩衝來捕獲 ID,並且可以將查詢的字段縮小為僅包含 ids 。
參考文獻
注:本文內容整合自 Google/Baidu/Bing 輔助翻譯的英文資料結果。如果您對結果不滿意,可以加入我們改善翻譯效果:薇曉朵技術論壇。