MYSQL每隔10分鐘停止分組統計的完成辦法。本站提示廣大學習愛好者：（MYSQL每隔10分鐘停止分組統計的完成辦法）文章只能為提供參考，不一定能成為您想要的結果。以下是MYSQL每隔10分鐘停止分組統計的完成辦法正文
前言
本文的內容次要是引見了MYSQL每隔10分鐘停止分組統計的完成辦法，在畫用戶登錄、操作狀況在一天內的散布圖時會十分有用，之前我只知道用「存儲進程」完成的辦法（雖然執行速度快，但真的是太不靈敏了），後來學會了用初級點的「group by」辦法來靈敏完成相似功用。
注釋：
-- time_str '2016-11-20 04:31:11' -- date_str 20161120 select concat(left(date_format(time_str, '%y-%m-%d %h:%i'),15),'0') as time_flag, count(*) as count from `security`.`cmd_info` where `date_str`=20161120 group by time_flag order by time_flag; -- 127 rows select round(unix_timestamp(time_str)/(10 * 60)) as timekey, count(*) from `security`.`cmd_info` where `date_str`=20161120 group by timekey order by timekey; -- 126 rows -- 以上2個SQL語句的思緒相似——運用「group by」停止區分，但是辦法有所不同，前者只能針對10分鐘(或1小時)級別，後者可以靜態調整距離大小，兩者效率差不多，可以依據實踐狀況選用 select concat(date(time_str),' ',hour(time_str),':',round(minute(time_str)/10,0)*10), count(*) from `security`.`cmd_info` where `date_str`=20161120 group by date(time_str), hour(time_str), round(minute(time_str)/10,0)*10; -- 145 rows select concat(date(time_str),' ',hour(time_str),':',floor(minute(time_str)/10)*10), count(*) from `security`.`cmd_info` where `date_str`=20161120 group by date(time_str), hour(time_str), floor(minute(time_str)/10)*10; -- 127 rows (和 date_format 那個等價) select concat(date(time_str),' ',hour(time_str),':',ceil(minute(time_str)/10)*10), count(*) from `security`.`cmd_info` where `date_str`=20161120 group by date(time_str), hour(time_str), ceil(minute(time_str)/10)*10; -- 151 rows
&
DELIMITER //
DROP PROCEDURE IF EXISTS `usp_cmd_info`;
CREATE PROCEDURE `usp_cmd_info`(IN dates VARCHAR(12))
BEGIN
SELECT count(*) from `cmd_info` where `time_str` BETWEEN CONCAT(dates, " 00:00:00") AND CONCAT(dates, " 00:10:00") INTO @count_0;
SELECT count(*) from `cmd_info` where `time_str` BETWEEN CONCAT(dates, " 00:10:00") AND CONCAT(dates, " 00:20:00") INTO @count_1;
...
SELECT count(*) from `cmd_info` where `time_str` BETWEEN CONCAT(dates, " 23:40:00") AND CONCAT(dates, " 23:50:00") INTO @count_142;
SELECT count(*) from `cmd_info` where `time_str` BETWEEN CONCAT(dates, " 23:50:00") AND CONCAT(dates, " 23:59:59") INTO @count_143;
select @count_0, @count_1, @count_2, @count_3, @count_4, @count_5, @count_6, @count_7, @count_8, @count_9, @count_10, @count_11, @count_12, @count_13, @count_14, @count_15, @count_16, @count_17, @count_18, @count_19, @count_20, @count_21, @count_22, @count_23, @count_24, @count_25, @count_26, @count_27, @count_28, @count_29, @count_30, @count_31, @count_32, @count_33, @count_34, @count_35, @count_36, @count_37, @count_38, @count_39, @count_40, @count_41, @count_42, @count_43, @count_44, @count_45, @count_46, @count_47, @count_48, @count_49, @count_50, @count_51, @count_52, @count_53, @count_54, @count_55, @count_56, @count_57, @count_58, @count_59, @count_60, @count_61, @count_62, @count_63, @count_64, @count_65, @count_66, @count_67, @count_68, @count_69, @count_70, @count_71, @count_72, @count_73, @count_74, @count_75, @count_76, @count_77, @count_78, @count_79, @count_80, @count_81, @count_82, @count_83, @count_84, @count_85, @count_86, @count_87, @count_88, @count_89, @count_90, @count_91, @count_92, @count_93, @count_94, @count_95, @count_96, @count_97, @count_98, @count_99, @count_100, @count_101, @count_102, @count_103, @count_104, @count_105, @count_106, @count_107, @count_108, @count_109, @count_110, @count_111, @count_112, @count_113, @count_114, @count_115, @count_116, @count_117, @count_118, @count_119, @count_120, @count_121, @count_122, @count_123, @count_124, @count_125, @count_126, @count_127, @count_128, @count_129, @count_130, @count_131, @count_132, @count_133, @count_134, @count_135, @count_136, @count_137, @count_138, @count_139, @count_140, @count_141, @count_142, @count_143;
END //
DELIMITER ;
show PROCEDURE status\G
CALL usp_cmd_info("2016-10-20");
下面的這段MySQL存儲進程的語句十分長，不能夠用手工輸出，可以用上面的這段Python代碼按所需的時間距離自動生成：
import datetime
today = datetime.date.today()
# 或 由給定格式字符串轉換成
# today = datetime.datetime.strptime('2016-11-21', '%Y-%m-%d')
min_today_time = datetime.datetime.combine(today, datetime.time.min) # 2016-11-21 00:00:00
max_today_time = datetime.datetime.combine(today, datetime.time.max) # 2016-11-21 23:59:59
sql_procedure_arr = []
sql_procedure_arr2 = []
for x in xrange(0, 60*24/5, 1):
start_datetime = min_today_time + datetime.timedelta(minutes = 5*x)
end_datetime = min_today_time + datetime.timedelta(minutes = 5*(x+1))
# print x, start_datetime.strftime("%Y-%m-%d %H:%M:%S"), end_datetime.strftime("%Y-%m-%d %H:%M:%S")
select_str = 'SELECT count(*) from `cmd_info` where `time_str` BETWEEN "{0}" AND "{1}" INTO @count_{2};'.format(start_datetime, end_datetime, x)
# print select_str
sql_procedure_arr.append(select_str)
sql_procedure_arr2.append('@count_{0}'.format(x))
print '\n'.join(sql_procedure_arr)
print 'select {0};'.format(', '.join(sql_procedure_arr2))
總結
以上就是這篇文章的全部內容了，希望本文的內容對大家的學習或許任務能帶來一定的協助，假如有疑問大家可以留言交流。
