OBIEE usage tracking

Hi all

I'm exploring OBIEE use Tracking report and wanted to verify a few things.

There is a report that gives just 1 form and for most of the user the i.e.Total dry time execution time report shows 1-2 seconds.

However, I also see an entry for some users where it took 650 + dry to show the result. The report does not have a performance problem as its report just basic with 1 table.

Is there a specific reason, it shows the driest of total time?

I know If the user submitting the application leaves the page until the query is complete, then the final extraction never happens, and a timeout of 3600 value is saved. But this isn't the case here.

Is followed by its use not the evidence complete solution to find how long a report takes to show results?

Any help would be appreciated.

Kind regards

Usage tracking tells you how long the BI server worked on the logical query, including the holding of open the ODBC cursor for the client (in general, presentation Services).

The time in monitoring its use often corresponds to what will be the final user, but not always. Things like paging through data etc. will give a time higher total in the monitoring of the use that the user experiences to display report data.

Put it this way:

  • If users are complaining that the report took 650 seconds to return, and said use follow-up 650, then took 650
  • If users from phone to up and say their report takes 300 seconds to return, and said use follow-up 650, then it took 300
  • If its use followed said 650 and users did not report anything, then there may or not be 650 - you cannot make that assumption

Looking at the newspapers further to the top of the line (sawing with the largest level of debugging, for example), you can plot the response time of the specific request through the stack. Even in this case, you can only time point during which he left the server HTTP (WLS) - if the user is on a slow or rendered network slow browser can it make even more time.

Tags: Business Intelligence

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    =================

    I recorded the following data with usage tracking, announced here as examples:

    1.
    compile_time_sec = 0
    um_db_time_sec c = 23
    total_time_sec = 12
    start_ts = 18 August 09 (14:15:47)
    end_ts = 18 August 09 (14:16:00)
    end_ts - start_ts (in sec) = 13
    cache_ind_flg = N
    num_cache_hits = 0
    num_cache_inserted = 1

    2.
    compile_time_sec = 0
    um_db_time_sec c = 125
    total_time_sec = 110
    start_ts = 21 August 09 (15: 45:37)
    end_ts = 21 August 09 (16: 47:35)
    end_ts - start_ts (in sec) = 3718
    cache_ind_flg = N
    num_cache_hits = 0
    num_cache_inserted = 0

    3.
    compile_time_sec = 0
    um_db_time_sec c = 1252
    total_time_sec = 932
    start_ts = 24 August 09 (17:23:40)
    end_ts = 24 August 09 (17: 49:27)
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    cache_ind_flg = N
    num_cache_hits = 0
    num_cache_inserted = 0

    See DOC ID 973090.1 in metalink.

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