oracle 查询归档增长量

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

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.* ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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

关于height，line-height导致的样式混乱的问题
设置固定border,padding,line-height,但是发现在ie下input标签竟然line-height不起作用,导致实际的高度无法控制解决方法:添加固定高度height.
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 ...
百度api查询多个地址的经纬度的问题
在使用百度api查询多个地址的经纬度的时候,由于百度api提供的经纬度查询方法是回调函数,并且后续操作必须等经纬度获取完成才能进行,问题就存在于怎么判断所有地点是否都回调完成了,问了之前的一个前端大佬 ...
调用get_str_time(时间), 就能把毫秒的时间转换成格式化的 ,转化时间戳的方法
function get_str_time(time){ var datetime = new Date(); datetime.setTime(time); var year = datetime. ...
简单实用的jQuery分页插件
在做商城和订单管理的时候,常常会用到分页功能,所以我封装了一个jQuery的分页插件,该插件主要实现上下翻页,输入数字跳转等功能. 具体实现如下: 输入参数需要当前页码pageNo,总页码totalP ...
前端开发面试题-HTML（转载）
本文由本文的原作者markyun 收集总结了一些前端面试题,初学者阅后也要用心钻研其中的原理,重要知识需要系统学习.透彻学习,形成自己的知识链.万不可投机取巧,临时抱佛脚只求面试侥幸混过关是错误的! ...
base64加密和解码原理和代码
Base64编码,是我们程序开发中经常使用到的编码方法.它是一种基于用64个可打印字符来表示二进制数据的表示方法.它通常用作存储.传输一些二进制数据编码方法!也是MIME(多用途互联网邮件扩展,主要用 ...
LyX快捷键管理
快捷键修改:Tools->Preference->Editing->Shortcuts:修改后要Tools->Reconfig生效快捷键默认保存文件:%appdata%\Ly ...
自定义合并列：el-table
objectSpanMethod({ row, column, rowIndex, columnIndex }) {//合并规则 //当前行row.当前列column.当前行号rowIndex.当前列 ...
表单元素的required,autocomplete,list用法
required: 当在一个表单元素如:input中加上required属性时,点击提交表单按钮,针对input会弹出一个默认的警告信息,如下图: 代码如下: <form id="my ...

oracle 查询归档增长量

oracle 查询归档增长量的更多相关文章

随机推荐

热门专题