4

我有以下 MySQL 查询：

$sql = "SELECT (SELECT COUNT(share_id) FROM pd_shares WHERE section = 'news' AND item_id = news.article_id) AS count_shares, article_id, link, title, publish_date, description, source FROM pd_news AS news WHERE (MATCH (title_ascii, description_ascii) AGAINST ('".match_against($_GET["sn"])."' IN BOOLEAN MODE)) AND article_id > " . $last_index . " ORDER BY article_id ASC LIMIT 0,$limit";

当我进行搜索时，查询会使用 ORDER BY 子句加载 513.24 毫秒。当我删除它时，它运行 77.12 毫秒。

两者title_ascii都是description_ascii全文。

如何重写此查询以使运行速度比当前加载速度快得多？

解释输出：

id  select_type     table   type    possible_keys   key     key_len     ref     rows    Extra   
1   PRIMARY     news    fulltext    PRIMARY,news_search     news_search     0   NULL    1   Using where; Using filesort
2   DEPENDENT SUBQUERY  pd_shares   ref     section     section     19  const,my_database.news.article_id   2   Using index condition
4

1 回答 1

0

了解引用表（pd_shares 和 pd_news）的架构会很有帮助。我将子选择移至普通连接并添加了 group by 子句：

$sql = "SELECT
          article_id
        , link
        , title
        , publish_date
        , description
        , source 
        , COUNT(shares.share_id) AS count_shares
        FROM pd_news AS news 
        LEFT JOIN pd_shares shares
            ON shares.section = 'news' AND shares.item_id = news.article_id
        WHERE (MATCH (title_ascii, description_ascii) AGAINST ('".match_against($_GET["sn"])."' IN BOOLEAN MODE)) 
            AND article_id > " . $last_index . " 
        GROUP BY article_id
        ORDER BY article_id ASC LIMIT 0, $limit";
于 2017-09-30T09:45:51.487 回答