我正在优化数据库，几乎不知道我的学士论文。我绝不想让你为我做的工作，但我有一些问题，到目前为止没有人能回答。
表格结构：
data_inc, CREATE TABLE 'data_inc' (
'id' bigint(20) NOT NULL AUTO_INCREMENT,
'id_para' int(10) unsigned NOT NULL DEFAULT '0',
't_s' int(11) unsigned NOT NULL DEFAULT '0',
't_ms' smallint(6) unsigned NOT NULL DEFAULT '0',
't_ns' bigint(20) unsigned NOT NULL DEFAULT '0',
'id_inst' smallint(6) NOT NULL DEFAULT '1',
'value' varchar(255) NOT NULL DEFAULT '',
'isanchor' tinyint(4) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY ('id','t_ns'),
KEY 't_s' ('t_s'),
KEY 't_ns' ('t_ns')
) ENGINE=MyISAM AUTO_INCREMENT=2128295174 DEFAULT CHARSET=latin1
/*
!50100 PARTITION BY RANGE (t_ns)
(PARTITION 19_02_2015_23_59 VALUES LESS THAN (1424386799000000000) ENGINE = MyISAM,
PARTITION 20_02_2015_23_59 VALUES LESS THAN (1424473199000000000) ENGINE = MyISAM,
PARTITION 21_02_2015_23_59 VALUES LESS THAN (1424559599000000000) ENGINE = MyISAM,
PARTITION 22_02_2015_23_59 VALUES LESS THAN (1424645999000000000) ENGINE = MyISAM,
PARTITION 23_02_2015_23_59 VALUES LESS THAN (1424732399000000000) ENGINE = MyISAM,
PARTITION 24_02_2015_23_59 VALUES LESS THAN (1424818799000000000) ENGINE = MyISAM,
PARTITION 25_02_2015_23_59 VALUES LESS THAN (1424905199000000000) ENGINE = MyISAM,
PARTITION 05_03_2015_23_59 VALUES LESS THAN (1425596399000000000) ENGINE = MyISAM,
PARTITION 13_03_2015_23_59 VALUES LESS THAN (1426287599000000000) ENGINE = MyISAM,
PARTITION 14_03_2015_23_59 VALUES LESS THAN (1426373999000000000) ENGINE = MyISAM,
PARTITION 15_03_2015_23_59 VALUES LESS THAN (1426460399000000000) ENGINE = MyISAM,
PARTITION 16_03_2015_23_59 VALUES LESS THAN (1426546799000000000) ENGINE = MyISAM,
PARTITION 17_03_2015_23_59 VALUES LESS THAN (1426633199000000000) ENGINE = MyISAM,
PARTITION 18_03_2015_23_59 VALUES LESS THAN (1426719599000000000) ENGINE = MyISAM)
*/
系统当前每秒最多将4000个参数记录到数据库中（不同的表，其中一个在存储过程中决定）。每隔5分钟，1小时和每天不同的脚本被调用来分析日志数据，在此期间数据被写入表中。这导致一些重负荷现在。是否有可能从MyISAM切换到InnoDB（或其他），性能会提高？
感谢您的帮助！
答案 0 :(得分：0)
快速记录，然后进行分析......
分析将放入其他表格中。这些将包含摘要信息，并且多小于1.2M行。
要获取每小时数据，请汇总摘要表。但是不要创建“每小时”表;只需根据需要获取并重新计算。
以下是一些相关讨论：High speed ingestion和Summary Tables。