TableView performance with large number of columns

I notice that it takes awhile for table views to populate when they have a large number of columns (> 100 or so subjectively).
Running VisualVM based on CPU Samples, I see that the largest amount of time is spent here:
javafx.scene.control.TableView.getVisibleLeafIndex() 35.3% 8,113 ms
next is:
javfx.scene.Parent$1.onProposedChange() 9.5% 2,193 ms
followed by
javafx.scene.control.Control.loadSkinClass() 5.2% 1,193 ms
I am using JavaFx 2.1 co-bundled with Java7u4. Is this to be expected, or are there some performance tuning hints I should know?
Thanks,
- Pat

We're actually doing some TableView performance work right now, I wonder if you could file an issue with a simple reproducible test case? I haven't seen the same data you have here in our profiles (nearly all time is spent on reapplying CSS) so I would be interested in your exact test to be able to profile it and see what is going on.
Thanks
Richard

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    user2602680 wrote:
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    Message was edited by:
    user609663

    I have tried to ask the question in a way that greatly simplify current problem to make it easy for others to understand without having to explain a lot of background information and 'the situation'; it seems I over-simplified the issue to make it even not worth solving or a wrong question being asked. So here I explain the complete problem and look for advice again (be prepared, pretty long description following:). I am a purchased customer of Oracle 10 DB and I reasonably expect being considered as Oracle user looking for help rather than students trying to play smart with assigned data normalization course exercises.
    We are working on a system that collects data from interview results. The questionnaires for the interviews are formatted with a coded question, followed by user's answer to the question, like the following:
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         H002            ...                45
         H003            ...                33
         H004            ...                66
         H005            ...                4,66
         ...             ...                ...The users answer question with a digit, for some special questions, e.g. H005, they are allowed to answer with a set of digits. There are thousands of interviews each year, the simplest solution to collect the interview answers is to use such a db table:
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    2. calculation based on questionnaire data is simple, e.g. get the average of H007/H009 for questionnaires that have H002 > H003 * 600 would be:
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    questionnaire_name CHARquestionnaire_definition_table:
    id                 NUMBER
    questionnaire_id   NUMBER
    question_code      CHAR
    question_content   VARHCARinterview_table:
    id                 NUMBER
    questionnaire_id   NUMBER
    date               DATEquestionnaire data table: itv_data
    id                 NUMBER
    interview_id       NUMBER
    question_code      CHAR
    answer             NUMBERWith the new structure, it just turn the problems of simple_db_table to its benefit and simple_db_table's benefit become the problem:
    1. Personnel who use report creation software feel too confused to make report based on such tables, because they do not understand the normalized modeling. In our case, effective training is difficult because there will be many geographically distributed people make reports based on this structure and they have lower IT knowledge than database administrators. These personnel can make reports based on simple_db_table.
    2. calculation based on questionnaire data is very difficult.
    To explain 2, let's take the same example, we still wish to get the average of H007/H009 for questionnaires that have H002 > H003 * 600, my method is:
    setp 1: create a view with by using:
           CREATE VIEW v (id, H002, H003) AS
           SELECT a.itv_id, a.H002, b.H003
             FROM itv_data a, itv_data b
           WHERE a.interviewee_id=b.interviewee_id
             AND a.question_code='H002' AND b.question_code='H003';step 2: create a stored procedure to get the calculation result:
           CREATE OR REPLACE PROCEDURE get_result (result OUT NUMBER) IS
             sh007 NUMBER := 0;
             sh009 NUMBER := 0;
           BEGIN
             SELECT SUM(H007) INTO sh007 FROM itv_data
               WHERE itv_id in (SELECT id FROM v WHERE H002 > H003 * 683);
             SELECT SUM(H009) INTO sh009 FROM itv_data
               WHERE itv_id in (SELECT id FROM v WHERE H002 > H003 * 683);
             idc := sh007/sh009;
           END get_idc;As you can see the calculation become much more complex and might involve overhead.
    There might be better way to calculate the result that I don't know yet. We have some 100 different formulas to calculate different results, so it's important to get them right and efficiently.
    The best solution seems to me is that to create such a view from itv_data and other tables so that to reflect the same structure of simple_db_table. So here comes the question I originally asked how is it possible to create a view with flexible number of columns. I made the very simple example in my original posted message wishing to get an idea of this is possible or the way to go.
    I may be taking a completely wrong approach to attack the problem, e.g. perhaps there is a simpler way to get_result from itv_table and for report creation users I should use a metadata layer on top of the normalized table structure (e.g. by using Metadata Query Language from Pentaho BI). But anyway I'd like to get some insightful ideas from the forum. Again thanks for help in advance.

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