1 典型的時間分割槽
drop table pss_log;
create table `pss_log` (
`id` bigint(18) not null auto_increment,
`method_name` varchar(100) not null comment '方法名',
`input` text comment '方法輸入',
`output` text comment '方法輸出',
`client_ip` varchar(16) default null comment '呼叫ip',
`server_ip` varchar(16) default null comment '伺服器ip',
`invoked_by` varchar(80) default null comment '呼叫方',
`create_time` timestamp not null default current_timestamp on update current_timestamp comment '建立時間',
`ticket` varchar(36) not null comment '呼叫id',
`result_code` varchar(10) default null comment '方法結果碼,用於表示是否成功',
`version` varchar(20) default null comment '客戶端呼叫版本',
`time_used` int(10) default null comment '服務端耗時',
primary key (`id`,`create_time`),
key `idx_pss_log_create_time` (`method_name`,`create_time`,`invoked_by`)
) engine=innodb auto_increment=1 default charset=utf8
partition by range(unix_timestamp(`create_time`))
(partition p20140701values less than (unix_timestamp('2014-07-01 00:00:00')) engine = innodb,
partition p20140801values less than (unix_timestamp('2014-08-01 00:00:00')) engine = innodb,
partition p20140901values less than (unix_timestamp('2014-09-01 00:00:00')) engine = innodb,
partition p20141001values less than (unix_timestamp('2014-10-01 00:00:00')) engine = innodb,
partition p20141101values less than (unix_timestamp('2014-11-01 00:00:00')) engine = innodb,
partition p20141201values less than (unix_timestamp('2014-12-01 00:00:00')) engine = innodb,
partition p20150101values less than (unix_timestamp('2015-01-01 00:00:00')) engine = innodb,
partition p20150201values less than (unix_timestamp('2015-02-01 00:00:00')) engine = innodb,
partition p20150301values less than (unix_timestamp('2015-03-01 00:00:00')) engine = innodb,
partition p20150401values less than (unix_timestamp('2015-04-01 00:00:00')) engine = innodb,
partition p20150501values less than (unix_timestamp('2015-05-01 00:00:00')) engine = innodb,
partition p20150601values less than (unix_timestamp('2015-06-01 00:00:00')) engine = innodb,
partition p20150701values less than (unix_timestamp('2015-07-01 00:00:00')) engine = innodb
);2 檢驗分割槽
insert into pss_log (method_name,create_time,ticket) values('clyde1', '2014-06-01 00:00:00' ,'ticket1');
insert into pss_log (method_name,create_time,ticket) values( 'clyde2', '2014-06-02 00:00:00' ,'ticket1');
explain partitions select * from pss_log where create_time<'2014-07-05 00:00:00'
從執行計畫可以看出, 由於create_time<'2014-07-05 00:00:00' ,索引只會在2個分割槽p20140701,p20140801中查詢,但用的2個partition的全表掃瞄
explain select * from pss_log where create_time<'2014-07-05 00:00:00'
idselect_type
partitions
type
possible_keys
keyrows
extra
1******
p20140701,p20140801
allnull
null
1using where
where 語句中增加method_name條件,會用到了索引
explain partitions select * from pss_log where method_name='clyde1' and create_time<'2014-07-05 00:00:00'
idselect_type
partitions
type
possible_keys
keyrows
extra
1******
p20140701,p20140801
range
idx_pss_log_create_time
idx_pss_log_create_time
1using where
如果時間範圍更小的話,就會只在乙個分割槽中找
explain partitions select * from pss_log where method_name='clyde1' and create_time<'2014-07-05 00:00:00' and create_time>'2014-07-02 00:00:00';
idselect_type
partitions
type
possible_keys
keyrows
extra
1******
p20140801
range
idx_pss_log_create_time
idx_pss_log_create_time
1using where
3 另外條件允許的話,partitions分得越小越好,
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