1.最近应单用户画像业务需求，需要满足6个月单用户的天粒度收视情况，呈现近半年的收视趋势图。每天数据量大概在150w条左右，一个月大概4500w,6个月大概2.7亿条。要满足大数据量的秒级响应。由于系统采用的为mysql+mongo+oracle的多数据源的模式，多数据源管理起来复杂难度较大。系统也在逐渐往mysql数据库迁移。在此篇文章里就只聊mysql的十亿条数据的查询效率优化，说到优化不得不聊聊mysql数据库索引,以及数据库表结构设计。

2.以下知识提供参考：

mysql数据库索引：https://blog.csdn.net/ys_230014/article/details/88773918

MyISAM与InnoDB 的区别：https://blog.csdn.net/qq_35642036/article/details/82820178

Explain 总结:https://blog.csdn.net/youanyyou/article/details/109664306

mysql 四种分区方式：https://blog.csdn.net/qq_35190486/article/details/108758205?utm_term=mysql%E5%A6%82%E4%BD%95%E8%BF%9B%E8%A1%8C%E5%88%86%E5%8C%BA&utm_medium=distribute.pc_aggpage_search_result.none-task-blog-2~all~sobaiduweb~default-1-108758205&spm=3001.4430

3.建表分区、建索引

综合思量，采用RANGE方式进行分区（此外还有List,Hash,Liner Hash,Key等方式）最后选择cityCode来进行分区，当然也可以按照天粒度，月粒度的日期进行分区，

CREATE TABLE `single_user_duration_times_day` (
  `ID` int(11) NOT NULL AUTO_INCREMENT,
  `addTime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '数据录入时间',
  `reportTime` date NOT NULL DEFAULT '0000-00-00' COMMENT '指标上报时间',
  `cityCode` int(5) NOT NULL DEFAULT '12500' COMMENT '地市编码',
  `businessId` varchar(40) NOT NULL COMMENT '业务账号',
  `liveDurationStatistics` decimal(16,2) DEFAULT '0.00' COMMENT '直播时长统计',
  `liveTimesStatistics` decimal(16,0) DEFAULT '0' COMMENT '直播次数统计',
  `vodDurationStatistics` decimal(16,2) DEFAULT '0.00' COMMENT '点播时长统计',
  `vodTimesStatistics` decimal(16,0) DEFAULT '0' COMMENT '点播次数统计',
  PRIMARY KEY (`ID`,`reportTime`,`cityCode`,`businessId`),
  KEY `idx_businessId` (`businessId`) USING BTREE,
  KEY `idx_reportTime_businessId_cityCode` (`businessId`,`cityCode`,`reportTime`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=243257067 DEFAULT CHARSET=utf8 COMMENT='单用户时长、次数天粒度数据'
 PARTITION BY RANGE (cityCode)
(PARTITION p12501 VALUES LESS THAN (12502) ENGINE = InnoDB,
 PARTITION p12502 VALUES LESS THAN (12503) ENGINE = InnoDB,
 PARTITION p12503 VALUES LESS THAN (12504) ENGINE = InnoDB,
 PARTITION p12504 VALUES LESS THAN (12505) ENGINE = InnoDB,
 PARTITION p12505 VALUES LESS THAN (12506) ENGINE = InnoDB,
 PARTITION p12506 VALUES LESS THAN (12507) ENGINE = InnoDB,
 PARTITION p12507 VALUES LESS THAN (12508) ENGINE = InnoDB,
 PARTITION p12508 VALUES LESS THAN (12509) ENGINE = InnoDB,
 PARTITION p12509 VALUES LESS THAN (12510) ENGINE = InnoDB,
 PARTITION p12510 VALUES LESS THAN (12511) ENGINE = InnoDB,
 PARTITION p12511 VALUES LESS THAN (12512) ENGINE = InnoDB,
 PARTITION p12512 VALUES LESS THAN (12513) ENGINE = InnoDB,
 PARTITION p12513 VALUES LESS THAN (12514) ENGINE = InnoDB,
 PARTITION p12514 VALUES LESS THAN (12515) ENGINE = InnoDB,
 PARTITION p12515 VALUES LESS THAN (12516) ENGINE = InnoDB,
 PARTITION p12516 VALUES LESS THAN (12517) ENGINE = InnoDB,
 PARTITION p12517 VALUES LESS THAN (12518) ENGINE = InnoDB,
 PARTITION p12518 VALUES LESS THAN (12519) ENGINE = InnoDB);

2.可能用到的修改分区的语句：

修改表分区
  Alter table single_user_duration_times_day partition by range(cityCode)
(PARTITION p12501 VALUES LESS THAN (12502) ENGINE = InnoDB,
 PARTITION p12502 VALUES LESS THAN (12503) ENGINE = InnoDB,
 PARTITION p12503 VALUES LESS THAN (12504) ENGINE = InnoDB,
 PARTITION p12504 VALUES LESS THAN (12505) ENGINE = InnoDB,
 PARTITION p12505 VALUES LESS THAN (12506) ENGINE = InnoDB,
 PARTITION p12506 VALUES LESS THAN (12507) ENGINE = InnoDB,
 PARTITION p12507 VALUES LESS THAN (12508) ENGINE = InnoDB,
 PARTITION p12508 VALUES LESS THAN (12509) ENGINE = InnoDB,
 PARTITION p12509 VALUES LESS THAN (12510) ENGINE = InnoDB,
 PARTITION p12510 VALUES LESS THAN (12511) ENGINE = InnoDB,
 PARTITION p12511 VALUES LESS THAN (12512) ENGINE = InnoDB,
 PARTITION p12512 VALUES LESS THAN (12513) ENGINE = InnoDB,
 PARTITION p12513 VALUES LESS THAN (12514) ENGINE = InnoDB,
 PARTITION p12514 VALUES LESS THAN (12515) ENGINE = InnoDB,
 PARTITION p12515 VALUES LESS THAN (12516) ENGINE = InnoDB,
 PARTITION p12516 VALUES LESS THAN (12517) ENGINE = InnoDB,
 PARTITION p12517 VALUES LESS THAN (12518) ENGINE = InnoDB,
 PARTITION p12518 VALUES LESS THAN (12519) ENGINE = InnoDB);

3.查看分区信息

mysql 查看表的分区信息
 SELECT
    PARTITION_NAME
    , TABLE_ROWS
    , PARTITION_EXPRESSION
    , PARTITION_DESCRIPTION 
FROM
    INFORMATION_SCHEMA.PARTITIONS 
WHERE
    TABLE_SCHEMA = 'iptvtest' 
    AND TABLE_NAME = 'single_user_duration_times_day';

4.查询语句，及查询效率

		explain 
SELECT
    DATE_FORMAT(reportTime, '%Y%u') reportTime
    , liveDurationStatistics
    , liveTimesStatistics
    , vodDurationStatistics
    , vodTimesStatistics 
FROM
    single_user_duration_times_day 
WHERE
    1 = 1 
    and businessId = '371000000000109906' 
    and cityCode = '12501' 
    AND DATE_FORMAT(reportTime, '%Y-%m-%d') >= '2021-05-27'