ORDER BY RAND() 和大表的问题

Problems with ORDER BY RAND() and big tables(ORDER BY RAND() 和大表的问题)

问题描述

你好我今天早上问了一个问题，我意识到问题不是我在找的地方(这里是原始问题)

Hello I asked a question this morning, and I realized that the problem was not where I was looking (here the original question)

我有这个查询可以从地址簿中随机生成注册表.

I have this query to randomly generate registries from an address book.

SELECT * FROM address_book ab 
            WHERE 
            ab.source = "PB" AND 
            ab.city_id = :city_id AND 
            pb_campaign_id = :pb_campaign_id AND 
            ab.id NOT IN (SELECT address_book_id FROM calls WHERE calls.address_book_id = ab.id AND calls.status_id IN ("C","NO") OR (calls.status_id IN ("NR","OC") AND TIMESTAMPDIFF(MINUTE,calls.updated_at,NOW()) < 30))
            ORDER BY RAND()
            LIMIT 1';

但我注意到按 rand () 排序"；花费超过 50 秒并使用高达 25-50% 的 CPU 和大表(100k +)所以我在这里寻找解决方案，但我没有找到任何有效的方法.注意:ids 不是自增的，可能会有差距

but I noticed that "order by rand ()" take more than 50s and use up to 25-50% CPU with large tables (100k +) so i looked for solutions here but i didn't find anything that worked. note: ids are not self-incrementing, there may be gaps

有什么想法吗?

推荐答案

我建议这样写:

SELECT *
FROM address_book ab 
WHERE ab.source = 'PB' AND 
      ab.city_id = :city_id AND 
      pb_campaign_id = :pb_campaign_id AND 
      NOT EXISTS (SELECT 1
                  FROM calls c
                  WHERE c.address_book_id = ab.id AND
                        ( c.status_id IN ('C', 'NO') OR
                         (c.status_id IN ('NR', 'OC') AND c.updated < now() - interval 30 minute)
                        ) 
                )

ORDER BY RAND()
LIMIT 1;

请注意，这会更改相关子查询中的逻辑，因此 c.address_book_id = ab.id 始终适用.我怀疑这是性能问题.

Note that this changes the logic in the correlated subquery so c.address_book_id = ab.id always applies. I suspect that is the issue with performance.

然后，在以下位置创建索引:

Then, create indexes on:

• address_book(source, city_id, campaign_id, id)
• 调用(address_book_id、status_id、更新)

我猜这足以提高性能.如果碰巧有无数行符合条件，那么 order by rand() 可能是个问题.

I am guessing that this will be sufficient to improve performance. If there happen to be a zillion rows that match the conditions, then the order by rand() might be an issue.

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