Oracle查询表空间或数据库的增长量

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Oracle查询表空间或数据库的增长量

2023-05-02 01:42| 来源: 网络整理| 查看: 265

11gSELECT a.snap_id, c.tablespace_name ts_name, to_char(to_date(a.rtime, 'mm/dd/yyyy hh24:mi:ss'), 'yyyy-mm-dd hh24:mi') rtime, round(a.tablespace_size * c.block_size / 1024 / 1024, 2) ts_size_mb, round(a.tablespace_usedsize * c.block_size / 1024 / 1024, 2) ts_used_mb, round((a.tablespace_size - a.tablespace_usedsize) * c.block_size / 1024 / 1024, 2) ts_free_mb, round(a.tablespace_usedsize / a.tablespace_size * 100, 2) pct_used FROM dba_hist_tbspc_space_usage a, (SELECT tablespace_id, substr(rtime, 1, 10) rtime, max(snap_id) snap_id FROM dba_hist_tbspc_space_usage nb group by tablespace_id, substr(rtime, 1, 10)) b, dba_tablespaces c, v$tablespace d where a.snap_id = b.snap_id and a.tablespace_id = b.tablespace_id and a.tablespace_id=d.TS# and d.NAME=c.tablespace_name and to_date(a.rtime, 'mm/dd/yyyy hh24:mi:ss') >=sysdate-30 order by a.tablespace_id,to_date(a.rtime, 'mm/dd/yyyy hh24:mi:ss') desc; 12cSELECT a.snap_id, a.con_id, e.name pdbname, c.tablespace_name ts_name, to_char(to_date(a.rtime, 'mm/dd/yyyy hh24:mi:ss'), 'yyyy-mm-dd hh24:mi') rtime, round(a.tablespace_size * c.block_size / 1024 / 1024, 2) ts_size_mb, round(a.tablespace_usedsize * c.block_size / 1024 / 1024, 2) ts_used_mb, round((a.tablespace_size - a.tablespace_usedsize) * c.block_size / 1024 / 1024, 2) ts_free_mb, round(a.tablespace_usedsize / a.tablespace_size * 100, 2) pct_used FROM cdb_hist_tbspc_space_usage a, (SELECT tablespace_id, nb.con_id, substr(rtime, 1, 10) rtime, max(snap_id) snap_id FROM dba_hist_tbspc_space_usage nb group by tablespace_id, nb.con_id,substr(rtime, 1, 10)) b, cdb_tablespaces c, v$tablespace d, V$CONTAINERS e where a.snap_id = b.snap_id and a.tablespace_id = b.tablespace_id and a.con_id=b.con_id and a.con_id=c.con_id and a.con_id=d.con_id and a.con_id=e.con_id and a.tablespace_id=d.TS# and d.NAME=c.tablespace_name and to_date(a.rtime, 'mm/dd/yyyy hh24:mi:ss') >=sysdate-30 order by a.CON_ID,a.tablespace_id,to_date(a.rtime, 'mm/dd/yyyy hh24:mi:ss') desc; 其它sqlselect u.snap_id, to_char(s.begin_interval_time, 'yyyy-mm-dd hh24') begin_time, to_char(s.end_interval_time, 'yyyy-mm-dd hh24') end_time, t.name, round(u.tablespace_size * ts.block_size / 1024 / 1024, 2) ts_size_mb, round(u.tablespace_usedsize * ts.block_size / 1024 / 1024, 2) ts_used_mb, round((u.tablespace_size - u.tablespace_usedsize) * ts.block_size / 1024 / 1024, 2) ts_free_mb, round(u.tablespace_usedsize / u.tablespace_size * 100, 2) pct_used from dba_hist_tbspc_space_usage u, v$tablespace t, dba_hist_snapshot s, dba_tablespaces ts where u.tablespace_id = t.ts# and u.snap_id = s.snap_id and t.name = ts.tablespace_name and s.instance_number = 1 and t.name = 'SYSTEM' and s.end_interval_time > sysdate - 7 order by snap_id desc; 如何估算oracle ,数据库对象历史增长情况

-----最近七天数据库的增长情况,这个只是一个估算值。

select sum(space_used_total)/1024/1024/1024 "last 7 days db increase - G" from dba_hist_seg_stat s, dba_hist_seg_stat_obj o, dba_hist_snapshot sn where s.obj# = o.obj# and sn.snap_id = s.snap_id and begin_interval_time > sysdate-8 order by begin_interval_time; 查看数据库历史增长情况

查看数据库历史增长情况 此处是通过计算数据库所有表空间的历史增长情况来计算数据库历史情况。

不含undo和tempwith tmp as (select rtime, sum(tablespace_usedsize_kb) tablespace_usedsize_kb, sum(tablespace_size_kb) tablespace_size_kb from (select rtime, e.tablespace_id, (e.tablespace_usedsize) * (f.block_size) / 1024 tablespace_usedsize_kb, (e.tablespace_size) * (f.block_size) / 1024 tablespace_size_kb from dba_hist_tbspc_space_usage e, dba_tablespaces f, v$tablespace g where e.tablespace_id = g.TS# and f.tablespace_name = g.NAME and f.contents not in ('TEMPORARY','UNDO')) group by rtime) select tmp.rtime, tablespace_usedsize_kb, tablespace_size_kb, (tablespace_usedsize_kb - LAG(tablespace_usedsize_kb, 1, NULL) OVER(ORDER BY tmp.rtime)) AS DIFF_KB from tmp, (select max(rtime) rtime from tmp group by substr(rtime, 1, 10)) t2 where t2.rtime = tmp.rtime; 含undo和tempwith tmp as (select min(rtime) rtime, sum(tablespace_usedsize_kb) tablespace_usedsize_kb, sum(tablespace_size_kb) tablespace_size_kb from (select rtime, e.tablespace_id, (e.tablespace_usedsize) * (f.block_size) / 1024 tablespace_usedsize_kb, (e.tablespace_size) * (f.block_size) / 1024 tablespace_size_kb from dba_hist_tbspc_space_usage e, dba_tablespaces f, v$tablespace g where e.tablespace_id = g.TS# and f.tablespace_name = g.NAME) group by rtime) select tmp.rtime, tablespace_usedsize_kb, tablespace_size_kb, (tablespace_usedsize_kb - LAG(tablespace_usedsize_kb, 1, NULL) OVER(ORDER BY tmp.rtime)) AS DIFF_KB from tmp, (select min(rtime) rtime from tmp group by substr(rtime, 1, 10)) t2 where t2.rtime = tmp.rtime; 列出相关段对象在 快照时间内的使用空间的历史变化信息column owner format a16 column object_name format a36 column start_day format a11 column block_increase format 9999999999 select obj.owner, obj.object_name, to_char(sn.BEGIN_INTERVAL_TIME,'RRRR-MON-DD') start_day, sum(a.db_block_changes_delta) block_increase from dba_hist_seg_stat a, dba_hist_snapshot sn, dba_objects obj where sn.snap_id = a.snap_id and obj.object_id = a.obj# and obj.owner not in ('SYS','SYSTEM') and end_interval_time between to_timestamp('17-FEB-2014','DD-MON-RRRR') and to_timestamp('25-FEB-2014','DD-MON-RRRR') group by obj.owner, obj.object_name, to_char(sn.BEGIN_INTERVAL_TIME,'RRRR-MON-DD') order by obj.owner, obj.object_name ; 统计 Oracle 数据库每年数据增长量

统计数据库的规模一般会从两个维度考虑,一个是真实的数据库对象所占的空间,另一个是物理磁盘需要占多少空间。

前者是逻辑对象的数据规模,后者是磁盘上实际的数据文件大小。逻辑对象是存在物理文件中的,文件提前分好了空间,文件内容会等待逻辑对象填满。比如提前分好了一个32GB的表空间,数据没存满前,文件大小不会变,但对象所占的空间是在增长的。

统计数据库数据量大小的 SQL 语句如下:

-- 对象大小 select sum(t.bytes)/1024/1024/1024/1024 TB from dba_segments t; -- 数据文件大小 select sum(t.bytes)/1024/1024/1024/1024 TB from dba_data_files t;

如果需要统计每年的数据库的数据量的增长量,一种笨办法则是每年统计一次,将结果存下来,多年之后再将数据取出来进行分析。Oracle中并不会记录数据增长的历史,唯一一种可以近似得到数据增长历史的地方是v

datafile统计的数据增长量如下:

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SQL语句为:

SELECT trunc(t.creation_time, 'yyyy'), round(SUM(t.bytes) / 1024 / 1024 / 1024 / 1024, 2) tb FROM v$datafile t GROUP BY trunc(t.creation_time, 'yyyy') ORDER BY 1;

这里有一个问题就是如果数据库的生命周期不完整了,比如经历过数据迁移、resetlog 导致归档日志不再连接,此时 v$datafile 中记录的数据文件创建时间已经被重置,之前的历史记录会丢失。此时数据库相当于重生了,之前的数据文件创建时间都被重置为数据库的第一次打开时间。比如上面的记录 2017 年以前的数据文件增长记录都无法考证了,原因是经历过 resetlog 打开数据库。

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