sosi-statistics
set echo off
set scan on
set lines 150
set pages 66
set verify off
set feedback off
set termout off
column uservar new_value Table_Owner noprint
select user uservar from dual;
set termout on
column TABLE_NAME heading "Tables owned by &Table_Owner" format a30
select table_name from dba_tables where owner=upper('&Table_Owner') order by 1
/
undefine table_name
undefine owner
prompt
accept owner prompt 'Please enter Name of Table Owner (Null = &Table_Owner): '
accept table_name prompt 'Please enter Table Name to show Statistics for: '
column TABLE_NAME heading "Table|Name" format a15
column PARTITION_NAME heading "Partition|Name" format a15
column SUBPARTITION_NAME heading "SubPartition|Name" format a15
column NUM_ROWS heading "Number|of Rows" format 9,999,999,990
column BLOCKS heading "Blocks" format 999,990
column EMPTY_BLOCKS heading "Empty|Blocks" format 999,999,990
column AVG_SPACE heading "Average|Space" format 9,990
column CHAIN_CNT heading "Chain|Count" format 999,990
column AVG_ROW_LEN heading "Average|Row Len" format 990
column COLUMN_NAME heading "Column|Name" format a25
column NULLABLE heading Null|able format a4
column NUM_DISTINCT heading "Distinct|Values" format 999,999,990
column NUM_NULLS heading "Number|Nulls" format 9,999,990
column NUM_BUCKETS heading "Number|Buckets" format 990
column DENSITY heading "Density" format 990
column INDEX_NAME heading "Index|Name" format a15
column UNIQUENESS heading "Unique" format a9
column BLEV heading "B|Tree|Level" format 90
column LEAF_BLOCKS heading "Leaf|Blks" format 990
column DISTINCT_KEYS heading "Distinct|Keys" format 9,999,999,990
column AVG_LEAF_BLOCKS_PER_KEY heading "Average|Leaf Blocks|Per Key" format 99,990
column AVG_DATA_BLOCKS_PER_KEY heading "Average|Data Blocks|Per Key" format 99,990
column CLUSTERING_FACTOR heading "Cluster|Factor" format 999,999,990
column COLUMN_POSITION heading "Col|Pos" format 990
column col heading "Column|Details" format a24
column COLUMN_LENGTH heading "Col|Len" format 9,990
column GLOBAL_STATS heading "Global|Stats" format a6
column USER_STATS heading "User|Stats" format a6
column SAMPLE_SIZE heading "Sample|Size" format 9,999,999,990
column to_char(t.last_analyzed,'MM-DD-YYYY') heading "Date|MM-DD-YYYY" format a10
prompt
prompt ***********
prompt Table Level
prompt ***********
prompt
select
TABLE_NAME,
NUM_ROWS,
BLOCKS,
EMPTY_BLOCKS,
AVG_SPACE,
CHAIN_CNT,
AVG_ROW_LEN,
GLOBAL_STATS,
USER_STATS,
SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from dba_tables t
where
owner = upper(nvl('&&Owner',user))
and table_name = upper('&&Table_name')
/
select
COLUMN_NAME,
decode(t.DATA_TYPE,
'NUMBER',t.DATA_TYPE||'('||
decode(t.DATA_PRECISION,
null,t.DATA_LENGTH||')',
t.DATA_PRECISION||','||t.DATA_SCALE||')'),
'DATE',t.DATA_TYPE,
'LONG',t.DATA_TYPE,
'LONG RAW',t.DATA_TYPE,
'ROWID',t.DATA_TYPE,
'MLSLABEL',t.DATA_TYPE,
t.DATA_TYPE||'('||t.DATA_LENGTH||')') ||' '||
decode(t.nullable,
'N','NOT NULL',
'n','NOT NULL',
NULL) col,
NUM_DISTINCT,
DENSITY,
NUM_BUCKETS,
NUM_NULLS,
GLOBAL_STATS,
USER_STATS,
SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from dba_tab_columns t
where
table_name = upper('&Table_name')
and owner = upper(nvl('&Owner',user))
/
select
INDEX_NAME,
UNIQUENESS,
BLEVEL BLev,
LEAF_BLOCKS,
DISTINCT_KEYS,
NUM_ROWS,
AVG_LEAF_BLOCKS_PER_KEY,
AVG_DATA_BLOCKS_PER_KEY,
CLUSTERING_FACTOR,
GLOBAL_STATS,
USER_STATS,
SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from
dba_indexes t
where
table_name = upper('&Table_name')
and table_owner = upper(nvl('&Owner',user))
/
break on index_name
select
i.INDEX_NAME,
i.COLUMN_NAME,
i.COLUMN_POSITION,
decode(t.DATA_TYPE,
'NUMBER',t.DATA_TYPE||'('||
decode(t.DATA_PRECISION,
null,t.DATA_LENGTH||')',
t.DATA_PRECISION||','||t.DATA_SCALE||')'),
'DATE',t.DATA_TYPE,
'LONG',t.DATA_TYPE,
'LONG RAW',t.DATA_TYPE,
'ROWID',t.DATA_TYPE,
'MLSLABEL',t.DATA_TYPE,
t.DATA_TYPE||'('||t.DATA_LENGTH||')') ||' '||
decode(t.nullable,
'N','NOT NULL',
'n','NOT NULL',
NULL) col
from
dba_ind_columns i,
dba_tab_columns t
where
i.table_name = upper('&Table_name')
and owner = upper(nvl('&Owner',user))
and i.table_name = t.table_name
and i.column_name = t.column_name
order by index_name,column_position
/
prompt
prompt ***************
prompt Partition Level
prompt ***************
select
PARTITION_NAME,
NUM_ROWS,
BLOCKS,
EMPTY_BLOCKS,
AVG_SPACE,
CHAIN_CNT,
AVG_ROW_LEN,
GLOBAL_STATS,
USER_STATS,
SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from
dba_tab_partitions t
where
table_owner = upper(nvl('&&Owner',user))
and table_name = upper('&&Table_name')
order by partition_position
/
break on partition_name
select
PARTITION_NAME,
COLUMN_NAME,
NUM_DISTINCT,
DENSITY,
NUM_BUCKETS,
NUM_NULLS,
GLOBAL_STATS,
USER_STATS,
SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from
dba_PART_COL_STATISTICS t
where
table_name = upper('&Table_name')
and owner = upper(nvl('&Owner',user))
/
break on partition_name
select
t.INDEX_NAME,
t.PARTITION_NAME,
t.BLEVEL BLev,
t.LEAF_BLOCKS,
t.DISTINCT_KEYS,
t.NUM_ROWS,
t.AVG_LEAF_BLOCKS_PER_KEY,
t.AVG_DATA_BLOCKS_PER_KEY,
t.CLUSTERING_FACTOR,
t.GLOBAL_STATS,
t.USER_STATS,
t.SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from
dba_ind_partitions t,
dba_indexes i
where
i.table_name = upper('&Table_name')
and i.table_owner = upper(nvl('&Owner',user))
and i.owner = t.index_owner
and i.index_name=t.index_name
/
prompt
prompt ***************
prompt SubPartition Level
prompt ***************
select
PARTITION_NAME,
SUBPARTITION_NAME,
NUM_ROWS,
BLOCKS,
EMPTY_BLOCKS,
AVG_SPACE,
CHAIN_CNT,
AVG_ROW_LEN,
GLOBAL_STATS,
USER_STATS,
SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from
dba_tab_subpartitions t
where
table_owner = upper(nvl('&&Owner',user))
and table_name = upper('&&Table_name')
order by SUBPARTITION_POSITION
/
break on partition_name
select
p.PARTITION_NAME,
t.SUBPARTITION_NAME,
t.COLUMN_NAME,
t.NUM_DISTINCT,
t.DENSITY,
t.NUM_BUCKETS,
t.NUM_NULLS,
t.GLOBAL_STATS,
t.USER_STATS,
t.SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from
dba_SUBPART_COL_STATISTICS t,
dba_tab_subpartitions p
where
t.table_name = upper('&Table_name')
and t.owner = upper(nvl('&Owner',user))
and t.subpartition_name = p.subpartition_name
and t.owner = p.table_owner
and t.table_name=p.table_name
/
break on partition_name
select
t.INDEX_NAME,
t.PARTITION_NAME,
t.SUBPARTITION_NAME,
t.BLEVEL BLev,
t.LEAF_BLOCKS,
t.DISTINCT_KEYS,
t.NUM_ROWS,
t.AVG_LEAF_BLOCKS_PER_KEY,
t.AVG_DATA_BLOCKS_PER_KEY,
t.CLUSTERING_FACTOR,
t.GLOBAL_STATS,
t.USER_STATS,
t.SAMPLE_SIZE,
to_char(t.last_analyzed,'MM-DD-YYYY')
from
dba_ind_subpartitions t,
dba_indexes i
where
i.table_name = upper('&Table_name')
and i.table_owner = upper(nvl('&Owner',user))
and i.owner = t.index_owner
and i.index_name=t.index_name
/
clear breaks
set echo on
sosi-statistics的更多相关文章
- ABBA BABA statistics
The ABBA BABA statistics are used to detect and quantify an excess of shared derived alleles, which ...
- SQL Server 的 Statistics 簡介
當你要清空「資料表(table)」,或倒入大量「資料(data;record)」,或公司「資料庫(database)」改用新版本要資料大搬家…等情形,不只是要重建「索引(index)」,還應要重建或更 ...
- SP2-0618: 无法找到会话标识符。启用检查 PLUSTRACE 角色 SP2-0611: 启用 STATISTICS 报告时出错
援引: SP2-0618: 无法找到会话标识符.启用检查 PLUSTRACE 角色 SP2-0611: 启用 STATISTICS 报告时出错 问题描述及解决方法: SQL*Plus: Release ...
- Spark MLlib 之 Basic Statistics
Spark MLlib提供了一些基本的统计学的算法,下面主要说明一下: 1.Summary statistics 对于RDD[Vector]类型,Spark MLlib提供了colStats的统计方法 ...
- SQL优化 CREATE STATISTICS
CREATE STATISTICS 语法: https://msdn.microsoft.com/zh-cn/library/ms188038.aspx STATISTICS优化中的使用案例: htt ...
- [转] 利用SET STATISTICS IO和SET STATISTICS TIME 优化SQL Server查询性能
首先需要说明的是这篇文章的内容并不是如何调节SQL Server查询性能的(有关这方面的内容能写一本书),而是如何在SQL Server查询性能的调节中利用SET STATISTICS IO和SET ...
- 性能调优:理解Set Statistics IO输出
性能调优是DBA的重要工作之一.很多人会带着各种性能上的问题来问我们.我们需要通过SQL Server知识来处理这些问题.经常被问到的一个问题是:早上这个存储过程运行时间还是可以的,但到了晚上就很慢很 ...
- Stanford机器学习笔记-3.Bayesian statistics and Regularization
3. Bayesian statistics and Regularization Content 3. Bayesian statistics and Regularization. 3.1 Und ...
- SQL Server读懂语句运行的统计信息 SET STATISTICS TIME IO PROFILE ON
对于语句的运行,除了执行计划本身,还有一些其他因素要考虑,例如语句的编译时间.执行时间.做了多少次磁盘读等. 如果DBA能够把问题语句单独测试运行,可以在运行前打开下面这三个开关,收集语句运行的统计信 ...
- 一个 Sql语句优化的问题- STATISTICS 统计信息
前段时间,同事遇到一个 Sql语句的问题,一个列表分页功能响应在30 s以上,看数据库里面的数据条数,数据量也不大,相关字段的一些索引也都有,可就是慢.于是找出具体的sql 语句出来分析,分页功能主要 ...
随机推荐
- strcpy、strncpy、memcpy的区别
一.strcpy.strncpy区别 struct gpInfo { char gpcode[9]; char gpName[50]; }; string gpstr = "SZ000001 ...
- myslq的索引类型为MyISAM和BDB的表:复合索引下的自增长
本文源自:http://www.himigame.com/mysql/781.html 3.6.9. 使用AUTO_INCREMENT 可以通过AUTO_INCREMENT属性为新的行产生唯一的标识: ...
- Linux美化终端
终端美化 不管你是Kali 还是 Centos 还是Ubuntu... 请先用你的安装器安装 zsh 这里以Ubuntu 为例: 终端美化使用的on-my-zsh 首先先介绍一下什么是zsh,zsh ...
- hadoop基础学习---基本概念
1.组成部分HDFS和MapReduce 2.HDFS这几架构
- SPP-Net
R-CNN -> SPP-Net -> Fast-RCNN
- 南京IT企业环境之最深心得体会
我是南京做嵌入式的. 之前搞过一年的PC平台Linux内核开发,Linux内核态的仅仅要不是非常复杂的BUG还是能修复的.一年的Linux用户态软件开发. 然后近期搞了两年ARM嵌入式开发. 做的CM ...
- oracle中获取执行计划
1. 预估执行计划 - Explain PlanExplain plan以SQL语句作为输入,得到这条SQL语句的执行计划,并将执行计划输出存储到计划表中. 首先,在你要执行的SQL语句前加expla ...
- 对cookie的重新认识
这两天做了一个跟cookie打交道比较多的项目,把其中重新认识的点记录下来: 1.$.cookie(name, value, time),当time为0时,相当于本句没有执行,并不会将原本记录在用户浏 ...
- Android Log.isLoggable方法异常:exceeds limit of 23 characters
AndroidRuntime: java.lang.IllegalArgumentException: Log tag "AccountSetupIncomingFragment" ...
- sencha touch 问题汇总
做sencha touch有一段时间了,目前而言,sencha touch在android上问题比较严重,在此对android中sencha touch的问题做一些汇总: 1.内存问题: 打包成安装程 ...