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数据库查询好慢哦 19秒

[font=Arial, "]SQL: SELECT Vod.vod_id AS vod_id,Vod.vod_cid AS vod_cid,Vod.vod_name AS vod_name,Vod.vod_ename AS vod_ename,Vod.vod_title AS vod_title,Vod.vod_keywords AS vod_keywords,Vod.vod_type AS vod_type,Vod.vod_color AS vod_color,Vod.vod_actor AS vod_actor,Vod.vod_director AS vod_director,Vod.vod_content AS vod_content,Vod.vod_pic AS vod_pic,Vod.vod_pic_bg AS vod_pic_bg,Vod.vod_pic_slide AS vod_pic_slide,Vod.vod_area AS vod_area,Vod.vod_language AS vod_language,Vod.vod_year AS vod_year,Vod.vod_continu AS vod_continu,Vod.vod_total AS vod_total,Vod.vod_isend AS vod_isend,Vod.vod_addtime AS vod_addtime,Vod.vod_filmtime AS vod_filmtime,Vod.vod_hits AS vod_hits,Vod.vod_hits_day AS vod_hits_day,Vod.vod_hits_week AS vod_hits_week,Vod.vod_hits_month AS vod_hits_month,Vod.vod_hits_lasttime AS vod_hits_lasttime,Vod.vod_stars AS vod_stars,Vod.vod_status AS vod_status,Vod.vod_up AS vod_up,Vod.vod_down AS vod_down,Vod.vod_ispay AS vod_ispay,Vod.vod_price AS vod_price,Vod.vod_trysee AS vod_trysee,Vod.vod_play AS vod_play,Vod.vod_server AS vod_server,Vod.vod_url AS vod_url,Vod.vod_inputer AS vod_inputer,Vod.vod_reurl AS vod_reurl,Vod.vod_jumpurl AS vod_jumpurl,Vod.vod_letter AS vod_letter,Vod.vod_skin AS vod_skin,Vod.vod_gold AS vod_gold,Vod.vod_golder AS vod_golder,Vod.vod_length AS vod_length,Vod.vod_weekday AS vod_weekday,Vod.vod_series AS vod_series,Vod.vod_copyright AS vod_copyright,Vod.vod_state AS vod_state,Vod.vod_version AS vod_version,Vod.vod_tv AS vod_tv,Vod.vod_douban_id AS vod_douban_id,Vod.vod_douban_score AS vod_douban_score,Vod.vod_scenario AS vod_scenario,Vod.vod_extend AS vod_extend,List.list_id AS list_id,List.list_name AS list_name,List.list_dir AS list_dir FROM ff_vod Vod JOIN ff_list List ON Vod.vod_cid = List.list_id WHERE ( Vod.vod_status = 1 ) AND ( Vod.vod_hits_lasttime > 1511971199 ) ORDER BY Vod.vod_hits desc LIMIT 0,5 [ RunTime:19.886265s ]
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[font=Arial, "]数据量几千条,阿里云RDS

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缝合额 2017-12-06 12:50:18 2579 分享 版权
阿里云 AI 助理回答

根据您的SQL查询语句,您正在从ff_vod表和ff_list表中联合选取数据,条件是vod_status = 1vod_hits_lasttime > 1511971199,并按vod_hits字段降序排序,取前5条记录。此查询针对的是视频资源信息,包括ID、分类、名称、演员、导演等众多详细字段,并关联了列表信息。

性能优化与注意事项:

  1. 索引优化:确保vod_status, vod_hits_lasttime, 和 vod_hits这三个字段上有索引,特别是对于这种大范围筛选和排序的查询,复合索引(如(vod_status, vod_hits_lasttime, vod_hits))能显著提升效率。这将帮助数据库快速定位到符合条件的记录并进行排序。

  2. 分页查询:虽然您已使用LIMIT 0,5来限制结果数量,但当数据量增长时,考虑使用更高效的分页策略,比如基于游标的分页或偏移量分页,避免随着页数增加导致查询性能下降。

  3. 注意时间戳比较:在WHERE子句中直接使用时间戳数值进行比较是有效的,但确保该时间戳格式与数据库中的存储格式一致,且考虑到时区问题,如果涉及跨时区应用,请统一时间标准处理。

  4. 数据量监控:由于您提到数据量为几千条,当前查询应该相对迅速。但随着数据量的增长,持续监控查询性能,并适时调整索引策略和查询逻辑,以维持高效运行。

  5. 连接池使用:在应用程序中,确保使用数据库连接池来管理与RDS的连接,这可以减少连接建立和释放的开销,提高整体应用性能。

通过上述建议,您可以进一步优化此查询的执行效率,特别是在数据量增大时保持良好的响应速度。

引用资料: - 索引优化基本原理与实践 - 数据库连接池的使用与优势

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