set linesize 200
set pagesize 100
column day format a15 heading 'Day'
column d_0 format a3 heading '00'
column d_1 format a3 heading '01'
column d_2 format a3 heading '02'
column d_3 format a3 heading '03'
column d_4 format a3 heading '04'
column d_5 format a3 heading '05'
column d_6 format a3 heading '06'
column d_7 format a3 heading '07'
column d_8 format a3 heading '08'
column d_9 format a3 heading '09'
column d_10 format a3 heading '10'
column d_11 format a3 heading '11'
column d_12 format a3 heading '12'
column d_13 format a3 heading '13'
column d_14 format a3 heading '14'
column d_15 format a3 heading '15'
column d_16 format a3 heading '16'
column d_17 format a3 heading '17'
column d_18 format a3 heading '18'
column d_19 format a3 heading '19'
column d_20 format a3 heading '20'
column d_21 format a3 heading '21'
column d_22 format a3 heading '22'
column d_23 format a3 heading '23'

select
        substr(to_char(FIRST_TIME,'YYYY/MM/DD,DY'),1,15) day,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'00',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'00',1,0))) d_0,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'01',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'01',1,0))) d_1,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'02',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'02',1,0))) d_2,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'03',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'03',1,0))) d_3,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'04',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'04',1,0))) d_4,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'05',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'05',1,0))) d_5,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'06',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'06',1,0))) d_6,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'07',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'07',1,0))) d_7,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'08',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'08',1,0))) d_8,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'09',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'09',1,0))) d_9,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'10',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'10',1,0))) d_10,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'11',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'11',1,0))) d_11,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'12',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'12',1,0))) d_12,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'13',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'13',1,0))) d_13,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'14',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'14',1,0))) d_14,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'15',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'15',1,0))) d_15,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'16',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'16',1,0))) d_16,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'17',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'17',1,0))) d_17,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'18',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'18',1,0))) d_18,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'19',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'19',1,0))) d_19,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'20',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'20',1,0))) d_20,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'21',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'21',1,0))) d_21,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'22',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'22',1,0))) d_22,
        decode(sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'23',1,0)),0,'-',sum(decode(substr(to_char(FIRST_TIME,'HH24'),1,2),'23',1,0))) d_23,
count(*)            total
from
        v$log_history where first_time> sysdate-60
group by
        substr(to_char(FIRST_TIME,'YYYY/MM/DD,DY'),1,15)
order by
        substr(to_char(FIRST_TIME,'YYYY/MM/DD,DY'),1,15) desc;

----2

SELECT  to_char(first_time,'yyyy-mm-dd') Dt,  
to_char(first_time, 'Dy') dy,  
count(1) "Total",  
SUM(decode(to_char(first_time, 'hh24'),'00',1,0)) "h0",  
SUM(decode(to_char(first_time, 'hh24'),'01',1,0)) "h1",  
SUM(decode(to_char(first_time, 'hh24'),'02',1,0)) "h2",  
SUM(decode(to_char(first_time, 'hh24'),'03',1,0)) "h3",  
SUM(decode(to_char(first_time, 'hh24'),'04',1,0)) "h4",  
SUM(decode(to_char(first_time, 'hh24'),'05',1,0)) "h5",  
SUM(decode(to_char(first_time, 'hh24'),'06',1,0)) "h6",  
SUM(decode(to_char(first_time, 'hh24'),'07',1,0)) "h7",  
SUM(decode(to_char(first_time, 'hh24'),'08',1,0)) "h8",  
SUM(decode(to_char(first_time, 'hh24'),'09',1,0)) "h9",  
SUM(decode(to_char(first_time, 'hh24'),'10',1,0)) "h10",  
SUM(decode(to_char(first_time, 'hh24'),'11',1,0)) "h11",  
SUM(decode(to_char(first_time, 'hh24'),'12',1,0)) "h12",  
SUM(decode(to_char(first_time, 'hh24'),'13',1,0)) "h13",  
SUM(decode(to_char(first_time, 'hh24'),'14',1,0)) "h14",  
SUM(decode(to_char(first_time, 'hh24'),'15',1,0)) "h15",  
SUM(decode(to_char(first_time, 'hh24'),'16',1,0)) "h16",  
SUM(decode(to_char(first_time, 'hh24'),'17',1,0)) "h17",  
SUM(decode(to_char(first_time, 'hh24'),'18',1,0)) "h18",  
SUM(decode(to_char(first_time, 'hh24'),'19',1,0)) "h19",  
SUM(decode(to_char(first_time, 'hh24'),'20',1,0)) "h20",  
SUM(decode(to_char(first_time, 'hh24'),'21',1,0)) "h21",  
SUM(decode(to_char(first_time, 'hh24'),'22',1,0)) "h22",  
SUM(decode(to_char(first_time, 'hh24'),'23',1,0)) "h23" 
FROM V$log_history  
group by to_char(first_time,'yyyy-mm-dd') ,  
to_char(first_time, 'Dy')  
order by 1;

oracle 查询归档增长量的更多相关文章

  1. oracle 查询 归档日志最大值和平均值

    select max(ss.size_GB), avg(ss.size_GB)  from (select s.*, rownum rn2          from (select a.*      ...

  2. 如何检查oracle的归档空间是否满了?

    如何检查oracle的归档空间是否满了? 关于如何检查归档空间是否慢了,大多数人会去先检查放归档的目录的磁盘空间是否满了,通过该归档目录空余情况来判断归档空间是否满了,但我觉得这个方法不一定代表实际情 ...

  3. 如何检查oracle的归档日志及空间占用率,清除归档日志

    如何解决“归档日志已满问题” 问题描述: 所用数据库为 Oracle 10g ,模式为归档模式,oracle 系统默认的归档空间为2G,由于日志过多,空间写满,数据库的redo文件不能归档,而出现or ...

  4. 如何检查oracle的归档空间是否满了

    如何检查oracle的归档空间是否满了   关于如何检查归档空间是否慢了,大多数人会去先检查放归档的目录的磁盘空间是否满了,通过该归档目录空余情况来判断归档空间是否满了,但我觉得这个方法不一定代表实际 ...

  5. oracle删除归档日志

    查看归档模式: SQL> archive log list; Database log mode Archive Mode Automatic archival Enabled Archive ...

  6. Oracle 查询出来的数据取第一条

    Oracle 查询出来的数据取第一条 --------------------------------------------------------------------------- 转载自:h ...

  7. Oracle查询和问题简记

    现在做两个版本的系统,一个用的数据库是Access,另一个就是Oracle了.每个数据库支持的的查询SQL语句都有所区别,这里主要针对Access和Oracle做 记录. 首先贴出遇到问题最多的一条语 ...

  8. 45 个非常有用的 Oracle 查询语句

    ​ 这里我们介绍的是 40+ 个非常有用的 Oracle 查询语句,主要涵盖了日期操作,获取服务器信息,获取执行状态,计算数据库大小等等方面的查询.这些是所有 Oracle 开发者都必备的技能,所以快 ...

  9. oracle 查询最近执行过的 SQL语句(转载)

    oracle 查询最近执行过的 SQL语句 (2014-06-09 18:02:43) 转载▼   分类: Database oracle 查询最近执行过的 SQL语句 select sql_text ...

随机推荐

  1. Bootstrap学习记录-2.container和table

    1. Container Bootstrap中容器类提供了2个类标识:container.container-fluid. 两者的区别在于: container:容器不止有15px的padding,还 ...

  2. ajax+ashx:实现文件的批量导出

    背景: 最近公司有一个需求,就是实现excle的批量导出(一次性导出多个excle). 实现方式: 想到的实现方式: 1.发起一个导出请求,然后批量生产需要导出的excle文件,最后将文件生成一个压缩 ...

  3. c# DataReader转换为Json

    /// <summary> /// DataReader转换为Json /// </summary> /// <param name="dataReader&q ...

  4. iomanip的作用 C++

    c++程序里面经常见到下面的头文件 #include <iomanip> 这里面iomanip的作用比较多: 主要是对cin,cout之类的一些操纵运算子,比如setfill,setw,s ...

  5. Matlab disp()

    matlab中disp()就是屏幕输出函数,类似于c语言中的printf()函数

  6. 1474 十进制转m进制

    1474 十进制转m进制  时间限制: 1 s  空间限制: 128000 KB  题目等级 : 白银 Silver 题解       题目描述 Description 将十进制数n转换成m进制数 m ...

  7. js 中判断变量是数组还是对象,和判断对象是否为空

    判断是对象还是数组  var ids={ id:'1',num:'2' } if(Array.isArray(ids) == false) {console.log('不是数组,对象') } else ...

  8. Linux LB--负载均衡和高可靠

    1.负载均衡典型应用场景,外网.内网.私网公共服务. 典型场景: (1)用户通过公网访问数据中心的ftp.web.https服务器. (2) 在数据中心内部东西向访问其他服务时,例如,访问其他虚拟机. ...

  9. 安卓开发_深入理解Activity和Fragment的关系

    Fragment(碎片)是必须嵌入在 Activity(活动) 中使用的.Fragment的生命周期随着Activity的生命周期的变化而变化 一.首先让我们看下Activity和Fragment的生 ...

  10. JavaScript按IP地址排序

    JavaScript按IP地址列表排序,主要思路就是分割每个点号部分,然后ip1和ip2分别对不够三位数的进行补0操作,然后转换为数字类型进行一一比较. 上代码: 正序: var arr=[ {ip: ...