10G sqlplus result cache

Hi,
we try to write a query to analyze the performance of our database.
The problem now is that the sqlplus or the database caches the results.
We use a 10g and a 11g database
Does anyone know how to do not cache the results
Thanks *T                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

Re,
thanks for you replay.
We try to understand some performance issues by calling the same sql every 10 minutes and measure
the timings. But if the anther of the database is like zero it make no sense.
May I have an understanding problem here.
If the database gets the same sql statement over and over. I thought the result was cached and the database does not create or use a explain plane. The db did not scan the tables it just read the result from a cache.
Is this right ?
Thanks *T                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   

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    965300 wrote:
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    Regards,
    Wasif
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       Thanks in advance.

    Hi Fabricio,
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    I highly recommend you read the 11g New Features Guide. Here is a sample from it:
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    All,
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    user2486753 wrote:
    Though oracle doc doesn't say about AUTO it is still accepts that value and caches the result of the SQL query if you add /*+ result cache */ hint to the SQL.
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  • Oracle result cache and functions

    Hi All,
    I am on 11.2 in Linux.
    I want to use Oracle's result cache to cache results of (user defined) functions, which we use in SELECT commands.
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    I want to ... cache results of (user defined) functions, which we use in SELECT commands.You have four choices:
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  • Possible result cache problem 11GR1;;Plz Help me :)

    Hello,
    I just finished installing Oracle 11g Enterprise Edition on my laptop,under windows XP 32 Bit,
    Just run to test the result cache ,It seems the result cache does not work for me ;
    Please see the demonstration below and help me to undertsand:
    (I am the only person connected to the database and I only have one session conneted )
    Connected to Oracle Database 11g Enterprise Edition Release 11.1.0.6.0
    Connected as SYS
    SQL> set timi on
    SQL> select * from v$version;
    BANNER
    Oracle Database 11g Enterprise Edition Release 11.1.0.6.0 - Production
    PL/SQL Release 11.1.0.6.0 - Production
    CORE     11.1.0.6.0     Production
    TNS for 32-bit Windows: Version 11.1.0.6.0 - Production
    NLSRTL Version 11.1.0.6.0 - Production
    Executed in 0.031 seconds
    SQL> ----result cache demonstration
    SQL> ----clear the server result cache
    SQL> exec dbms_result_cache.Flush
    PL/SQL procedure successfully completed
    Executed in 0 seconds
    SQL> ---run a query to load the server result cache
    SQL>
    SQL> SELECT /*+ result_cache */
      2   H.DEPARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID, COUNT(*)
      3    FROM HR.DEPARTMENTS H
      4   GROUP BY H.DEPARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID
      5  ;
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
               10 Administration                        200          1
               30 Purchasing                            114          1
               50 Shipping                              121          1
               60 IT                                    103          1
               70 Public Relations                      204          1
              200 Operations                                         1
              210 IT Support                                         1
              230 IT Helpdesk                                        1
               90 Executive                             100          1
              100 Finance                               108          1
              140 Control And Credit                                 1
              150 Shareholder Services                               1
              160 Benefits                                           1
              220 NOC                                                1
              250 Retail Sales                                       1
              130 Corporate Tax                                      1
              110 Accounting                            205          1
              270 Payroll                                            1
               40 Human Resources                       203          1
              170 Manufacturing                                      1
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
              260 Recruiting                                         1
               20 Marketing                             201          1
              120 Treasury                                           1
               80 Sales                                 145          1
              180 Construction                                       1
              190 Contracting                                        1
              240 Government Sales                                   1
    27 rows selected
    Executed in 0.282 seconds
    SQL> --*-response time is 0.282 seconds*
    SQL> ---Show the result information from v$result_cache_objects : is the result cache is valid ?
    SQL> --- The space used also?
    SQL>
    SQL> SELECT ID,
      2         NAME,
      3         TYPE,
      4         STATUS,
      5         BLOCK_COUNT,
      6         ROW_COUNT * ROW_SIZE_AVG AS SPACE_FOR_ROWS,
      7         SPACE_OVERHEAD
      8    FROM V$RESULT_CACHE_OBJECTS V
      9  ;
            ID NAME                                                                             TYPE       STATUS    BLOCK_COUNT SPACE_FOR_ROWS SPACE_OVERHEAD
             0 HR.DEPARTMENTS                                                                   Dependency Published           1              0              0
             1 SELECT /*+ result_cache */                                                       Result     Published           1            675            320
                H.DEPARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID, COUNT(*)                                                                     
                 FROM HR.DEPARTMENTS H                                                                                                         
                GROUP BY H.DEPAR                                                                                                               
    Executed in 0.141 seconds
    SQL> ---we run again our query
    SQL>
    SQL> SELECT /*+ result_cache */
      2   H.DEPARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID, COUNT(*)
      3    FROM HR.DEPARTMENTS H
      4   GROUP BY H.DEPARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID
      5  ;
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
               10 Administration                        200          1
               30 Purchasing                            114          1
               50 Shipping                              121          1
               60 IT                                    103          1
               70 Public Relations                      204          1
              200 Operations                                         1
              210 IT Support                                         1
              230 IT Helpdesk                                        1
               90 Executive                             100          1
              100 Finance                               108          1
              140 Control And Credit                                 1
              150 Shareholder Services                               1
              160 Benefits                                           1
              220 NOC                                                1
              250 Retail Sales                                       1
              130 Corporate Tax                                      1
              110 Accounting                            205          1
              270 Payroll                                            1
               40 Human Resources                       203          1
              170 Manufacturing                                      1
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
              260 Recruiting                                         1
               20 Marketing                             201          1
              120 Treasury                                           1
               80 Sales                                 145          1
              180 Construction                                       1
              190 Contracting                                        1
              240 Government Sales                                   1
    27 rows selected
    *Executed in 0.297 seconds*
    SQL> Why the first is faster than the second?
    thanks a lot,
    Edited by: Ora-Wiss on Apr 3, 2010 2:17 PM

    I have been using 11g from quite some time now in my sessions and already have started sessions over 11gr2 as well and I can't recall that I ever faced this thing. And I just did show the same to you on my personal system as well. But nevermind, here is one more run with the database being restarted and the same code being run.
    SQL> select * from v$version;
    BANNER
    Oracle Database 11g Enterprise Edition Release 11.1.0.6.0 - Production
    PL/SQL Release 11.1.0.6.0 - Production
    CORE    11.1.0.6.0      Production
    TNS for 32-bit Windows: Version 11.1.0.6.0 - Production
    NLSRTL Version 11.1.0.6.0 - Production
    Elapsed: 00:00:00.00
    SQL> startup force
    ORACLE instance started.
    Total System Global Area  171573248 bytes
    Fixed Size                  1331936 bytes
    Variable Size             125832480 bytes
    Database Buffers           37748736 bytes
    Redo Buffers                6660096 bytes
    Database mounted.
    Database opened.
    SQL> exec dbms_result_cache.Flush;
    PL/SQL procedure successfully completed.
    Elapsed: 00:00:00.06
    SQL> SELECT /*+ result_cache */   H.DEPARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID, COUNT(*)  FROM HR.DEPARTMENTS H GROUP BY H.DEP
    ARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID;
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
               10 Administration                        200          1
               30 Purchasing                            114          1
               50 Shipping                              121          1
               60 IT                                    103          1
               70 Public Relations                      204          1
              200 Operations                                         1
              210 IT Support                                         1
              230 IT Helpdesk                                        1
               90 Executive                             100          1
              100 Finance                               108          1
              140 Control And Credit                                 1
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
              150 Shareholder Services                               1
              160 Benefits                                           1
              220 NOC                                                1
              250 Retail Sales                                       1
              130 Corporate Tax                                      1
              110 Accounting                            205          1
              270 Payroll                                            1
               40 Human Resources                       203          1
              170 Manufacturing                                      1
              260 Recruiting                                         1
               20 Marketing                             201          1
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
              120 Treasury                                           1
               80 Sales                                 145          1
              180 Construction                                       1
              190 Contracting                                        1
              240 Government Sales                                   1
    27 rows selected.
    Elapsed: 00:00:00.15
    SQL> SELECT /*+ result_cache */   H.DEPARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID, COUNT(*)  FROM HR.DEPARTMENTS H GROUP BY H.DEP
    ARTMENT_ID, H.DEPARTMENT_NAME, H.MANAGER_ID;
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
               10 Administration                        200          1
               30 Purchasing                            114          1
               50 Shipping                              121          1
               60 IT                                    103          1
               70 Public Relations                      204          1
              200 Operations                                         1
              210 IT Support                                         1
              230 IT Helpdesk                                        1
               90 Executive                             100          1
              100 Finance                               108          1
              140 Control And Credit                                 1
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
              150 Shareholder Services                               1
              160 Benefits                                           1
              220 NOC                                                1
              250 Retail Sales                                       1
              130 Corporate Tax                                      1
              110 Accounting                            205          1
              270 Payroll                                            1
               40 Human Resources                       203          1
              170 Manufacturing                                      1
              260 Recruiting                                         1
               20 Marketing                             201          1
    DEPARTMENT_ID DEPARTMENT_NAME                MANAGER_ID   COUNT(*)
              120 Treasury                                           1
               80 Sales                                 145          1
              180 Construction                                       1
              190 Contracting                                        1
              240 Government Sales                                   1
    27 rows selected.
    Elapsed: 00:00:00.01
    SQL>As you can see, I can't reproduce.
    HTH
    Aman....

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