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
- c# 导出表格
var record = m_editor.getMasterRecord(); var Check_Id = record.Check_Id; var url = "/Storage/St ...
- 【Java】HashMap源码分析——常用方法详解
上一篇介绍了HashMap的基本概念,这一篇着重介绍HasHMap中的一些常用方法:put()get()**resize()** 首先介绍resize()这个方法,在我看来这是HashMap中一个非常 ...
- 【Tomcat】压力测试和优化
一.采用jmeter进行测试 为什么使用jmeter, 它免费开源, 不断发展, 功能逐渐强大. 可以做功能,负载, 性能测试.一套脚本可以同时用于功能和性能测试.Jmeter 有着众多的插件开发者, ...
- Tests of the Equality of Two Means
Introduction In this lesson, we'll continue our investigation of hypothesis testing. In this case, w ...
- VUE页面刷新问题
1). location方式 location.reload() 缺点:刷新页面,卡白 2). router方式 this.$router.go(0) 缺点:同一问题,比一好点 3). provide ...
- 【HTML笔记】--- 内联元素间距问题及解决方案
一.内联元素间距问题 在HTML实践中我们会发现,有时候内联元素之间会存在一定的间距,并且这间距和margin和padding无关.这是由编辑时的空白字符引起的,并且间距的大小受父元素的font-si ...
- 微信小程序实现验证码倒计时效果
效果图 wxml <input class='input-pwd' placeholder="新密码" placeholder-style='color: #000' pas ...
- Expo大作战(三十二)--expo sdk api之Noifications
简要:本系列文章讲会对expo进行全面的介绍,本人从2017年6月份接触expo以来,对expo的研究断断续续,一路走来将近10个月,废话不多说,接下来你看到内容,讲全部来与官网 我猜去全部机翻+个人 ...
- 为什么 APM 能提升 IT 团队工作质量?
“有必要吗?”这是很多 IT 专业人员在尝试向团队内部推荐应用程序性能管理价值时所面临的问题.APM(应用程序性能管理)能为公司节约成本,提高内部工作效率,并真实了解用户对公司的系统和产品是否满意.除 ...
- mysql初次启动相关配置
一.启动mysql服务 使用mysql之前,首先要启动mysql服务器端.使用命令mysqld.在命令行终端先进入mysql安装的目录直到bin目录,如图: 运行这个命令,可能会报错,提示找不到dat ...