如何高效統計一天數據量,分5分鐘為一個區間
mysql中,我們經常需要按時間段統計數據量。本文將詳細介紹一種高效的方法,將一天劃分為5分鐘一個區間,統計每個區間內的數據量。
首先,創建一張輔助表time_intervals,用于存儲時間段:
create table `time_intervals` (`grouped_time` time default null)
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接著,使用存儲過程向time_intervals表中插入時間段:
delimiter // create procedure inserttimeintervals() begin declare currenttime time default '00:00:00'; declare endtime time default '23:55:00'; truncate table time_intervals; while currenttime <= endtime do insert into time_intervals (grouped_time) values (currenttime); set currenttime = addtime(currenttime, '00:05:00'); end while; end // delimiter ;
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執行存儲過程call inserttimeintervals();,生成288條時間段用于統計。
接下來,查詢實際數據并補0:
(select date_format(date_format(create_time, '%y-%m-%d %h:%i') - interval (minute(create_time) mod 5) minute, '%h:%i') as grouped_time, count(*) as counts from interface_access_frequency where date(create_time) = '2024-04-27' group by grouped_time) union select date_format(grouped_time, '%h:%i') as grouped_time, 0 as counts from time_intervals;
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最后,groupby分組,即可獲得每個5分鐘區間的統計結果:
SELECT grouped_time, MAX(counts) AS counts FROM ((SELECT DATE_FORMAT(DATE_FORMAT(create_time, '%Y-%m-%d %H:%i') - INTERVAL (MINUTE(create_time) MOD 5) MINUTE, '%H:%i') AS grouped_time, COUNT(*) AS counts FROM interface_access_frequency WHERE DATE(create_time) = '2024-04-27' GROUP BY grouped_time) UNION SELECT DATE_FORMAT(grouped_time, '%H:%i') AS grouped_time, 0 AS counts FROM time_intervals) AS a GROUP BY grouped_time ORDER BY grouped_time ASC;
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通過此方法,可以高效地按5分鐘區間統計一天的數據量,且固定結果為288。修改傳參,還可按任意時間區間進行統計。