RAC support different hardware level servers?

Hai all,
Is RAC support different OS level and hardware level? Please clarify the server needs?
Shiju

Hi,
1st: whether it will be a Homogenous or Hetrogenous system copy?
This will be homogenous system copy
2nd: can i use the hp dataprotector to restore on different hardware?If anyone has experience with restoring on different
hardware using dataprotector please share..
dataprotector is backup utility, for using this utility you have to configure dataprotector client on new hardware , after which you will be able to restore the database.
Thanks
Anil

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    you don't need all that bloat.  set a session during login of some kind of uniquely identifying id.  i.e.
    $_SESSION['id'] = $row_rs['id'];
    then on the pages you need to protect, check it like this....
    <?php
    session_start();
    if (!(isset($_SESSION['id']) && $_SESSION['id'] != '')) {
    die(header("Location: http://www.notinprotectedareas.com")); }
    ?>
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    200406 NA
    200407 NA
    200408 NA
    200409 NA
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    200411 NA
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    200504 NA
    200505 NA
    200506 NA
    200507 NA
    200508 NA
    200509 NA
    200510 NA
    200511 NA
    2005 10,00 ---> here must be 30,00 not 10,00
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    200403 NA
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    200405 NA
    200406 NA
    200407 NA
    200408 NA
    200409 NA
    200410 NA
    200411 NA
    2004 NA
    200412 NA
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    200504 NA
    200505 NA
    200506 NA
    200507 NA
    200508 NA
    200509 NA
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    200511 NA
    2005 10,00
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    Mel,
    There are several different types of "data loaded into different hierarchy levels" and the aproach to solving the issue is different depending on the needs of the application.
    1. Data is loaded symmetrically at uniform mixed levels. Example would include loading data at "quarter" in historical years, but at "month" in the current year, it does /not/ include data loaded at both quarter and month within the same calendar period.
    = solved by the setting of status, or in 10.2 or later with the load_status clause of the aggmap.
    2. Data is loaded at both a detail level and it's ancestor, as in your example case.
    = the aggregate command overwrites aggregate values based on the values of the children, this is the only repeatable thing that it can do. The recomended way to solve this problem is to create 'self' nodes in the hierarchy representing the data loaded at the aggregate level, which is then added as one of the children of the aggregate node. This enables repeatable calculation as well as auditability of the resultant value.
    Also note the difference in behavior between the aggregate command and the aggregate function. In your example the aggregate function looks at '2005', finds a value and returns it for a result of 10, the aggregate command would recalculate based on january and february for a result of 20.
    To solve your usage case I would suggest a hierarchy that looks more like this:
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    200505 2005
    200506 2005
    200507 2005
    200508 2005
    200509 2005
    200510 2005
    200511 2005
    200512 2005
    2005_SELF 2005
    2005 NA
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    200405 NA
    200406 NA
    200407 NA
    200408 NA
    200409 NA
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    200412 NA
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    200503 NA
    200504 NA
    200505 NA
    200506 NA
    200507 NA
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    3. Data is loaded at a level based upon another dimension; for example product being loaded at 'UPC' in EMEA, but at 'BRAND' in APAC.
    = this can currently only be solved by issuing multiple aggregate commands to aggregate the different regions with different input status, which unfortunately means that it is not compatable with compressed composites. We will likely add better support for this case in future releases.
    4. Data is loaded at both an aggregate level and a detail level, but the calculation is more complicated than a simple SUM operator.
    = often requires the use of ALLOCATE in order to push the data to the leaves in order to correctly calculate the aggregate values during aggregation.

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