MySQL的经典用法(四)----大幅度提高性能方案,分区表

下面就笔者工作中遇到的时间问题,模拟一下情况对大家进行介绍. 工作中仍然是海量数据出现的情况.每年大概会有几亿条记录.而且数据的时效性比较强.但历史数据仍然要求保留.这个时候经过分析和研究,最终决定通过时间字段进行分区.下面是分区表的创建代码.读者门在插入了不同年份时间段以后，可以时间字段为条件进行查询，可以看到数据库扫描过的区段. Sql代码 CREATE TABLE part_data (c1 int default NULL, c2 varchar(30) default NULL, c3 date default NULL) partition by range (to_days(c3)) (PARTITION p0 VALUES LESS THAN (to_days('1995-01-01')), PARTITION p1 VALUES LESS THAN (to_days('1996-01-01')) , PARTITION p2 VALUES LESS THAN (to_days('1997-01-01')) , PARTITION p3 VALUES LESS THAN (to_days('1998-01-01')) , PARTITION p4 VALUES LESS THAN (to_days('1999-01-01')) , PARTITION p5 VALUES LESS THAN (to_days('2000-01-01')) , PARTITION p6 VALUES LESS THAN (to_days('2001-01-01')) , PARTITION p7 VALUES LESS THAN (to_days('2002-01-01')) , PARTITION p8 VALUES LESS THAN (to_days('2003-01-01')) , PARTITION p9 VALUES LESS THAN (to_days('2004-01-01')) , PARTITION p10 VALUES LESS THAN (to_days('2010-01-01')), PARTITION p11 VALUES LESS THAN MAXVALUE ); CREATE TABLE part_data (c1 int default NULL, c2 varchar(30) default NULL, c3 date default NULL) partition by range (to_days(c3)) (PARTITION p0 VALUES LESS THAN (to_days('1995-01-01')), PARTITION p1 VALUES LESS THAN (to_days('1996-01-01')) , PARTITION p2 VALUES LESS THAN (to_days('1997-01-01')) , PARTITION p3 VALUES LESS THAN (to_days('1998-01-01')) , PARTITION p4 VALUES LESS THAN (to_days('1999-01-01')) , PARTITION p5 VALUES LESS THAN (to_days('2000-01-01')) , PARTITION p6 VALUES LESS THAN (to_days('2001-01-01')) , PARTITION p7 VALUES LESS THAN (to_days('2002-01-01')) , PARTITION p8 VALUES LESS THAN (to_days('2003-01-01')) , PARTITION p9 VALUES LESS THAN (to_days('2004-01-01')) , PARTITION p10 VALUES LESS THAN (to_days('2010-01-01')), PARTITION p11 VALUES LESS THAN MAXVALUE );分区查询,可以查看扫描过的区段.当然要加上where子句,以c3时间为条件进行检索.若不使用时间字段，分区将失去作用. Sql代码 explain partitions select * from part_data/G