Statspack是Oracle自帶的強(qiáng)大的性能分析工具。他可以對當(dāng)前數(shù)據(jù)庫的運(yùn)行狀況作出全面的分析（包括實(shí)例信息、PGA顧問信息、命中率、top sql、top 5 wait event等等），是個好東西吧！下面切入正題：

 

1.以sysdba身份登陸，查看數(shù)據(jù)文件路徑

   

C:\Documents and Settings\Administrator>sqlplus / as sysdba
SQL*Plus: Release 10.2.0.1.0 - Production on 星期三 4月 14 10:51:41 2010
Copyright (c) 1982, 2005, Oracle.  All rights reserved.
連接到:
Oracle Database 10g Enterprise Edition Release 10.2.0.1.0 - Production
With the Partitioning, OLAP and Data Mining options
sys@AAA>show user;
USER 為 "SYS"
sys@AAA>select file_name from dba_data_files;
FILE_NAME
--------------------------------------------------
D:\ORACLE\PRODUCT\10.2.0\ORADATA\AAA\USERS01.DBF
D:\ORACLE\PRODUCT\10.2.0\ORADATA\AAA\SYSAUX01.DBF
D:\ORACLE\PRODUCT\10.2.0\ORADATA\AAA\UNDOTBS01.DBF
D:\ORACLE\PRODUCT\10.2.0\ORADATA\AAA\SYSTEM01.DBF
D:\ORACLE\PRODUCT\10.2.0\ORADATA\AAA\BBB.DBF
D:\ORACLE\PRODUCT\10.2.0\ORADATA\AAA\PERFSTAT.DBF
已選擇6行。

 

2.創(chuàng)建statspack存儲數(shù)據(jù)的表空間，（注：statspack往往會產(chǎn)生大量的分析數(shù)據(jù)，所以表空間還是大點(diǎn)為好）。

  

create tablespace perfstat datafile 'D:\ORACLE\PRODUCT\10.2.0\ORADATA\AAA\PERFSTAT.DBF' size 2G;

 

3.運(yùn)行statspack安裝腳本。默認(rèn)位置在$oracle_home\rdbms\admin\spcreate.sql

  

   

sys@AAA> @D:\oracle\product\10.2.0\db_1\RDBMS\ADMIN\spcreate.sql
...................
輸入 perfstat_password 的值:  perfstat
...
輸入 default_tablespace 的值:  perfstat
..........
..........
輸入 temporary_tablespace 的值: temp
..........
..........

 

安裝完之后 會自動切換用戶到perfstat下：

  

PERFSTAT@AAA> show user;
USER is "PERFSTAT"

 

 安裝完畢！

 

4.接下來采樣分析，設(shè)定一個job，每小時執(zhí)行一次采樣。

   首先查看當(dāng)前DB中有沒有正在運(yùn)行的JOB：

  

perfstat@AAA>select job,schema_user,next_date,interval,what from user_jobs;
未選定行

 

創(chuàng)建statspack采樣的job，沒每個小時采樣一次。

  

perfstat@AAA>variable job number;
perfstat@AAA>begin
2  dbms_job.submit(:job,'statspack.snap;',trunc(sysdate+1/24,'hh24'),'trunc(sysdate+1/24,''hh24'')');
3  commit;
4  end;
5  /
PL/SQL 過程已成功完成。

 

查看當(dāng)前正在運(yùn)行的job有哪些？

  

perfstat@AAA>select job as j,schema_user,next_date,interval,what from user_jobs;
J SCHEMA_USER                    NEXT_DATE      INTERVAL   WHAT
---------- ------------------------------ -------------- ---------- ----------
1 PERFSTAT                       14-4月 -10     trunc(sysd statspack.
ate+1/24,' snap;
hh24')

 

 

5.由于statspack的采集和分析會做很多DB的分析，產(chǎn)生大量的分析數(shù)據(jù)，所以頻繁的采樣肯定會消耗系統(tǒng)性能，特別是在生產(chǎn)庫中，所以當(dāng)你建立了上面每小時執(zhí)行一次的那個job，請務(wù)必在不需要的時候停止它。不然的話，這個失誤可能會是致命的（ statspack job每小時都會跑，永不停的跑下去，呵呵。），尤其在生產(chǎn)庫中。

 

明天凌晨，系統(tǒng)比較清閑，采樣已經(jīng)沒多大意義（采樣分析的最終目的是分析高峰時段的系統(tǒng)瓶頸），所以停止這個job.

   

perfstat@AAA>variable job number;
perfstat@AAA>begin
2  dbms_job.submit(:job,'dbms_job.broken(1,true);',trunc(sysdate+1),'null');
3  commit;
4  end;
5  /
PL/SQL 過程已成功完成。

 

 

6.幾個小時候后，看看生成的哪些快照。

perfstat@AAA>select snap_id,snap_time,startup_time from stats$snapshot;
SNAP_ID SNAP_TIME      STARTUP_TIME
---------- -------------- --------------
1 14-4月 -10     14-4月 -10
2 14-4月 -10     14-4月 -10

 

7.設(shè)定任意兩個快照，產(chǎn)生這段時間內(nèi)的性能分析報(bào)告（此時需要跑spreport腳本，路徑和剛才那個腳本一致）。

perfstat@AAA>@D:\oracle\product\10.2.0\db_1\RDBMS\ADMIN\spreport.sql
Current Instance
~~~~~~~~~~~~~~~~
DB Id    DB Name     Inst Num Instance
----------- ------------ -------- ------------
1858440386 AAA                 1 aaa
Instances in this Statspack schema
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DB Id    Inst Num DB Name      Instance     Host
----------- -------- ------------ ------------ ------------
1858440386        1 AAA          aaa          6979580041BD
490
Using 1858440386 for database Id
Using          1 for instance number
Specify the number of days of snapshots to choose from
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Entering the number of days (n) will result in the most recent
(n) days of snapshots being listed.  Pressing <return> without
specifying a number lists all completed snapshots.
Listing all Completed Snapshots
Snap
Instance     DB Name        Snap Id   Snap Started    Level Comment
------------ ------------ --------- ----------------- ----- -------------
aaa          AAA                  1 14 4月  2010 09:5     5
2
2 14 4月  2010 09:5     5
3
3 14 4月  2010 11:0     5
0
Specify the Begin and End Snapshot Ids
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
輸入 begin_snap 的值:  1
Begin Snapshot Id specified: 1
輸入 end_snap 的值:  2
End   Snapshot Id specified: 2
Specify the Report Name
~~~~~~~~~~~~~~~~~~~~~~~
The default report file name is sp_1_2.  To use this name,
press <return> to continue, otherwise enter an alternative.
輸入 report_name 的值:  d:\myreport.txt

...回車

 

 

8.完成后，會產(chǎn)生一個分析報(bào)告（d:\myreport.txt）。

附件：報(bào)告的截取片段：

STATSPACK report for
Database    DB Id    Instance     Inst Num Startup Time    Release     RAC
~~~~~~~~ ----------- ------------ -------- --------------- ----------- ---
1858440386 aaa                 1 14-4月 -10 09:2 10.2.0.1.0  NO
2
Host  Name:   6979580041BD490  Num CPUs:    2        Phys Memory (MB):    3,326
~~~~
Snapshot       Snap Id     Snap Time      Sessions Curs/Sess Comment
~~~~~~~~    ---------- ------------------ -------- --------- -------------------
Begin Snap:          1 14-4月 -10 09:52:22      15       4.3
End Snap:          2 14-4月 -10 09:53:20      15       5.8
Elapsed:                0.97 (mins)
Cache Sizes                       Begin        End
~~~~~~~~~~~                  ---------- ----------
Buffer Cache:       184M             Std Block Size:         8K
Shared Pool Size:       380M                 Log Buffer:     6,860K
Load Profile                            Per Second       Per Transaction
~~~~~~~~~~~~                       ---------------       ---------------
Redo size:             10,075.66            584,388.00
Logical reads:                 58.41              3,388.00
Block changes:                 18.81              1,091.00
Physical reads:                  0.22                 13.00
Physical writes:                  0.00                  0.00
User calls:                  0.52                 30.00
Parses:                  2.83                164.00
Hard parses:                  0.72                 42.00
Sorts:                  1.76                102.00
Logons:                  0.02                  1.00
Executes:                 10.88                631.00
Transactions:                  0.02
% Blocks changed per Read:   32.20    Recursive Call %:    99.69
Rollback per transaction %:    0.00       Rows per Sort:    70.69
Instance Efficiency Percentages
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Buffer Nowait %:  100.00       Redo NoWait %:  100.00
Buffer  Hit   %:   99.62    In-memory Sort %:  100.00
Library Hit   %:   90.06        Soft Parse %:   74.39
Execute to Parse %:   74.01         Latch Hit %:  100.00
Parse CPU to Parse Elapsd %:   14.29     % Non-Parse CPU:   98.41
Shared Pool Statistics        Begin   End
------  ------
Memory Usage %:   21.05   20.98
% SQL with executions>1:   54.05   60.06
% Memory for SQL w/exec>1:   80.51   83.00
Top 5 Timed Events                                                    Avg %Total
~~~~~~~~~~~~~~~~~~                                                   wait   Call
Event                                            Waits    Time (s)   (ms)   Time
----------------------------------------- ------------ ----------- ------ ------
CPU time                                                         1          70.7
control file sequential read                       189           0      1   23.6
db file sequential read                              8           0      3    2.5
control file parallel write                         27           0      1    1.9
log file sync                                        1           0      5     .6
.....................
.........................
...........................

 

 9.若想刪除某個快照，制定snapid直接delete

delete stats$snapshot where snap_id=1;

 

若想刪除所有快照 ，只保留statspack結(jié)構(gòu)，執(zhí)行@sptrunc。腳本路徑也在rdbms/admin下。若想連statspack一起干掉，也可以，請執(zhí)行下面的腳本：@spdrop

 

從此你也可以利用statspack來了解當(dāng)前數(shù)據(jù)庫的運(yùn)行狀況了。