概述

平时工作中如果要去扩容归档空间之类，有些人总会问你每天的归档产生大概多少，这里我分享两个工作中比较常用的脚本，大家以后就可以对数据库的归档情况知根知底啦！

-- 查看每天产生归档日志的数据量

alter session set nls_date_format=‘yyyy.mm.dd hh24:mi:ss‘;

select trunc(completion_time) as ARC_DATE,

count(*) as COUNT,

round((sum(blocks * block_size) / 1024 / 1024), 2) as ARC_MB

from v$archived_log

group by trunc(completion_time)

order by trunc(completion_time);

这里我归档是按每天60G来算。

-- 查看最近几天，每小时归档日志产生数量

SELECT SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH:MI:SS‘),1,5) Day, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘00‘,1,0)) H00, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘01‘,1,0)) H01, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘02‘,1,0)) H02, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘03‘,1,0)) H03, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘04‘,1,0)) H04, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘05‘,1,0)) H05, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘06‘,1,0)) H06, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘07‘,1,0)) H07, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘08‘,1,0)) H08, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘09‘,1,0)) H09, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘10‘,1,0)) H10, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘11‘,1,0)) H11, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘12‘,1,0)) H12, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘13‘,1,0)) H13, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘14‘,1,0)) H14, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘15‘,1,0)) H15, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘16‘,1,0)) H16, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘17‘,1,0)) H17, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘18‘,1,0)) H18, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘19‘,1,0)) H19, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘20‘,1,0)) H20, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘21‘,1,0)) H21, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘22‘,1,0)) H22, SUM(DECODE(SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH24:MI:SS‘),10,2),‘23‘,1,0)) H23, COUNT(*) TOTALFROM v$log_history aWHERE first_time>=to_char(sysdate-10)GROUP BY SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH:MI:SS‘),1,5)ORDER BY SUBSTR(TO_CHAR(first_time, ‘MM/DD/RR HH:MI:SS‘),1,5) DESC;

纯干货！觉得这脚本有用、有帮助的朋友多多点赞转发哦！

后面会分享更多DBA实用的内容，感兴趣的朋友可以关注下~