zoukankan      html  css  js  c++  java
  • Oracle查看表空间大小和使用率

    1. 全部表空间的大小
    select tablespace_name, sum(bytes)/1024/1024 from dba_data_files group by tablespace_name;

    TABLESPACE_NAME      SUM(BYTES)/1024/1024
    -------------------- --------------------
    UNDOTBS1                   65
    SYSAUX                      520
    USERS                    6
    SYSTEM                      680
    EXAMPLE                   100

    2. 空闲表空间大小
    select tablespace_name, sum(bytes)/1024/1024 from dba_free_space group by tablespace_name;

    TABLESPACE_NAME      SUM(BYTES)/1024/1024
    -------------------- --------------------
    SYSAUX                       34
    UNDOTBS1                1
    USERS                    1
    SYSTEM                    4
    EXAMPLE                    22

    3. 已使用空间可以这样计算
    select a.tablespace_name, total, free, total-free as used from 
    (select tablespace_name, sum(bytes)/1024/1024 as total from dba_data_files group by tablespace_name) a, 
    (select tablespace_name, sum(bytes)/1024/1024 as free from dba_free_space group by tablespace_name) b
    where a.tablespace_name = b.tablespace_name;

    TABLESPACE_NAME       TOTAL       FREE     USED
    -------------------- ---------- ---------- ----------
    SYSAUX                520    33.6875   486.3125
    UNDOTBS1             65      1       64
    USERS               6.25       1.25        5
    SYSTEM                680        3.5    676.5
    EXAMPLE             100    21.5625    78.4375

    更具体的sql语句:
    select a.tablespace_name, total, free, total-free as used, substr(free/total * 100, 1, 5) as "FREE%", substr((total - free)/total * 100, 1, 5) as "USED%" from 
    (select tablespace_name, sum(bytes)/1024/1024 as total from dba_data_files group by tablespace_name) a, 
    (select tablespace_name, sum(bytes)/1024/1024 as free from dba_free_space group by tablespace_name) b
    where a.tablespace_name = b.tablespace_name
    order by a.tablespace_name;

  • 相关阅读:
    <转>Logistic回归总结
    特征选择和降维的区别
    <转>SVM实现之SMO算法
    <转>KMP算法详解
    <转>主成分分析(Principal components analysis)-最大方差解释,最小平方差解释
    <转>与EM相关的两个算法-K-mean算法以及混合高斯模型
    <转>E-M算法
    隐马尔科夫
    机器学习之判别式模型和生成式模型
    复制图片
  • 原文地址:https://www.cnblogs.com/roger112/p/7992698.html
Copyright © 2011-2022 走看看