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

作用域public、private、protected、以及不写时的区别？
区别如下: 作用域当前类同包子孙类其他 public √ √ √ √ protected √ √ √ X default √ √ X X private √ X X ...
Ajax提交用FormData()上传文件
1.form声明如下 2.ajax设置如下 var formData = new FormData(document.getElementById("form")); $.ajax ...
Linux常用基本命令：三剑客命令之-awk内置变量与自定义变量
AWK中,变量分为两种:内置变量与自定义变量. 常见的内置变量有: FS:输入字段分隔符, 默认为空白字符 OFS:输出字段分隔符, 默认为空白字符 RS:输入记录分隔符(输入换行符), 指定输入时的 ...
lfs（systemv版本）学习笔记-第2页
我的邮箱地址:zytrenren@163.com欢迎大家交流学习纠错! lfs(systemv)学习笔记-第1页的地址:https://www.cnblogs.com/renren-study-no ...
Docker 搭建 ELK 收集并展示 tomcat 日志
架构前端展示 --> 索引搜索 <-- 日志提取及过滤 --> 日志缓存 <-- 日志收集 Kibana --> Elastash <-- Logstash -- ...
【工具相关】Web-ionic-ionicLab的使用
一,下载地址为:http://lab.ionic.io/,下载后直接安装即可.图标如下图所示: 二,打开ionicLab,如下图所示: 三,打开一个已有的文件,File-->Open Exist ...
听说你还不会用Dagger2？Dagger2 For Android最佳实践教程
前言 Dagger2是现在非常火的一个依赖注入框架,目前由Google维护,在Github上面已经有12K star了.Dagger2的入门门槛其实是比较高的,据了解,目前有很多Android工程师对 ...
JMeter—监听器(十二)
参考<全栈性能测试修炼宝典JMeter实战>第六章 JMeter 元件详解中第七节监听器用来显示JMeter取样器的测试结果,能够以树.表.图形形式显示,也可以以文件方式保存. 一.设置默 ...
免费ARP
1. 免费ARP基本概念免费ARP,也叫Gratutious ARP.无故ARP.这种ARP不同于一般的ARP请求,它的Sender IP和Target IP字段是相同的,相当于是请求自己的IP地址 ...
CTR预估中GBDT与LR融合方案
1. 背景 CTR预估(Click-Through Rate Prediction)是互联网计算广告中的关键环节,预估准确性直接影响公司广告收入.CTR预估中用的最多的模型是LR(Logistic R ...

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