Performance: many queries used in dashboard

Hi experts,
My dashboard contains more than 30 queries runing on 2 multiproviders. When looking in sm50 it seems as though only 2 queries are run in parallel after pressing the submit button. Moreover the queries that should provide results on the first tabpage in my model only give results after all other tables and charts are already filled.
I would like more queries to run parallel and to give the highest priority to queries on the first tabpage. Is there somewehere that I can make this setting (f.e. on multiprovider level)?
Answers are appreciated and will be awarded with points.
Thanks in advance,
Ralph

Hi,
I am facing a similar problem with our customer's application. However, activating the dedicated connections for nested iViews did not help. We have several iView, each containg 1 to 7 queries, approx. 30 Queries in the whole model. Each query runs about 1 sec, the whole model approx. 35 seconds. Even though the data flow is modeled in a parallel way (i.e. queries should be executed simultaneously).
Who can help?
Thanks in advance an kiond regards,
Benni

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try {
Class.forName("oracle.jdbc.driver.OracleDriver");
} catch (ClassNotFoundException e) {
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>
Thoughts on query performance of queries which access several sub-partitions/partitions versus queries running aganist a single table.
>
Queries that access multiple partitions can improve performance for two use cases: 1) only a subset of the entire table is needed and 2) if the access is done in parallel.
Even if 9 of 10 partitions are needed that can still be better than scanning a single table containing all of the data. And when there is a logical partitioning key (transaction date) that matches typical query predicate conditions then you can get guaranteed benefits by limiting a query to only 1 (or a small number) partition when an index on a single table might not get used at all.
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You don't mention if you have licensed the parallel option.
>
Any other thoughts on partitioning strategy in our situation much apprecaited.
>
You provide some confusing information. On the one hand you say that 70% of your queries are
>
ones accessing all transactions for products regradless of the time those transactions happened
>
But then you add that you are
>
Considering adding extra column to this DATE and range partition this to allow us to drop old partitions every year
>
How can you drop old partitions every year if 70% of the queries need product data 'regardless of the time those transactions happened'?
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My weblog: en-us.sysadmins.lv
PowerShell PKI Module: pspki.codeplex.com
PowerShell Cmdlet Help Editor pscmdlethelpeditor.codeplex.com
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