我有一个名为Articles的表。该表的结构如下:id(唯一),类别(文章的类别,即娱乐),标题(文章的标题),图像(文章的图像URL),链接(URL)文章),Counter(文章的观看次数),dateStamp(文章发表的日期)。
假设我要打印6篇随机娱乐文章。这种简单但效率低下的方法就是做
之类的事情$result = $db->query("SELECT * FROM Articles WHERE category = 'entertainment' ORDER BY RAND() LIMIT 6);
相反,我该如何更有效地解决这个问题?我知道有多个网站在解释ORDER BY RAND()的替代方案,但我只是不了解这些替代方案。我希望根据我的结构来理解。我已经尝试了将关联数组改组为创建随机生成器的多种方法,但所有这些都让人感到沮丧,因为我无法让它正常工作。如何在不使用ORDER BY RAND()的情况下获得6个随机播放的娱乐文章?
答案 0 :(得分:1)
没有通用的方法,其中一个有效的选择是按照给定(可选)条件选择随机子集数据,category
。请注意添加到此列的索引。
SELECT
r1.*
FROM
articles AS r1
INNER JOIN (SELECT(RAND() * (SELECT MAX(id) FROM articles)) AS id) AS r2
WHERE
r1.id >= r2.id
AND r1.category = 'entertainment'
LIMIT 6;
这里有示例数据(3.2m行)和执行计划的详细信息:
mysql> SELECT COUNT(*) FROM articles;
+----------+
| COUNT(*) |
+----------+
| 3200000 |
+----------+
1 row in set (0.00 sec)
mysql> SELECT
r1.*
FROM
articles AS r1
INNER JOIN (SELECT(RAND() * (SELECT MAX(id) FROM articles)) AS id) AS r2
WHERE
r1.id >= r2.id
AND r1.category = 'entertainment'
LIMIT 6;
+---------+-------------+-----------------------------------------------------------+---------------+
| id | topic | message | category |
+---------+-------------+-----------------------------------------------------------+---------------+
| 3153910 | JAX68VVH3FZ | Sed eu eros. Nam consequat dolor | entertainment |
| 3153911 | NIY23HWV0VM | tortor. Nunc commodo auctor velit. Aliquam nisl. Nulla eu | entertainment |
| 3153912 | LKQ42FRB7LA | mus. Proin vel nisl. Quisque | entertainment |
| 3153913 | PFL39VHI9RM | gravida | entertainment |
| 3153914 | FGV59TUN9TQ | elit, pellentesque a, facilisis non, bibendum sed, | entertainment |
| 3153915 | OWH73EBZ1GW | ligula. Nullam enim. Sed nulla ante, iaculis | entertainment |
+---------+-------------+-----------------------------------------------------------+---------------+
6 rows in set (0.473 sec)
mysql> explain extended
SELECT
r1.*
FROM
articles AS r1
INNER JOIN (SELECT(RAND() * (SELECT MAX(id) FROM articles)) AS id) AS r2
WHERE
r1.id >= r2.id
AND r1.category = 'entertainment'
LIMIT 6;
+----+-------------+------------+--------+-----------------+---------+---------+-------+---------+----------+------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+------------+--------+-----------------+---------+---------+-------+---------+----------+------------------------------+
| 1 | PRIMARY | <derived2> | system | NULL | NULL | NULL | NULL | 1 | 100 | NULL |
| 1 | PRIMARY | r1 | ref | PRIMARY,cat_IDX | cat_IDX | 768 | const | 1560229 | 100 | Using index condition |
| 2 | DERIVED | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | No tables used |
| 3 | SUBQUERY | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | Select tables optimized away |
+----+-------------+------------+--------+-----------------+---------+---------+-------+---------+----------+------------------------------+
4 rows in set (0.00 sec)
与相同数量的数据相比,性能上的差异比通常的情况要差(超过10倍):
mysql> SELECT * FROM articles WHERE category = 'entertainment' ORDER BY RAND() LIMIT 6;
+---------+-------------+---------------------------------------------------------------------------+---------------+
| id | topic | message | category |
+---------+-------------+---------------------------------------------------------------------------+---------------+
| 2374491 | PZC33VGM0ML | Duis cursus, diam at pretium aliquet, metus urna convallis erat, | entertainment |
| 382306 | RFN88EPE4MI | malesuada fames ac turpis egestas. Aliquam fringilla cursus purus. Nullam | entertainment |
| 1867986 | KWX30ULB1FR | pede. | entertainment |
| 1528863 | ADX52RRJ3MQ | lacus. Mauris non | entertainment |
| 2188208 | AOD82PXQ6FS | diam luctus lobortis. Class aptent taciti sociosqu ad litora | entertainment |
| 878426 | ABV08HTB2PG | eu eros. Nam consequat dolor vitae dolor. Donec fringilla. Donec | entertainment |
+---------+-------------+---------------------------------------------------------------------------+---------------+
6 rows in set (5.726 sec)
希望这会对你有所帮助。