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prompts take long to load

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Rank 1 - Community Starter

Choice list prompts can take minutes to load if the table is large enough (even dimension tables), and can cause a script error and not run at all.  In this case report is unusable.  Note: When in analysis, the filter returns the list immediately.  This issue is seen when using the prompt from the prompt tab in the report and from the dashboard.

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Answers

  • Rank 8 - Analytics Strategist

    mini dimension with the distinct values ...

  • Rank 4 - Community Specialist

    Hi User,

    I do not know whether this will help in your case, it was worked for me few months back try the below steps and let us know.

    1. Take SQL query for the prompts, which you are using in the reports.
    2. Created agents (using the prompt SQL) with DDB (direct database request) and enable cache seeding option in Destination tab.

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       3. Schedule these agents before business hours (before using the reports) and make sure cache was enabled.

       4. After successfully completing the agents, try to run the prompts this will return values using cache.

    Thanks,

  • Rank 2 - Community Beginner

    Using caching to tackle performance issues is never a solution but just something to hide these issues.

    Also you'll simply create the new problem of stale data. If you don't have a proper cache management strategy with ETL/data refresh-driven cache purging and re-populating then you're just creating situations where old data is shown even though newer exists.

    Long story short: cache doesn't solve performance issues. It hides them and does never do anything to address the actual root cause.

  • Rank 6 - Analytics Lead

    How is the  Prompt list of values calculated?

    is it a pure list of all possible values or is a

    Select Dim.Value where Fact.Value>0

    If it's the latter case you may need to investigate how to speed up the query creation.

    In my experience also the following help:

    1) Default values -> assigning static values to default prevent queries to run

    2) List Box instead of checkboxes -> the checkboxes are calculated on page load while the list box is calculated only when "opening" the filter

    3) Optimise your model! if you have performance query DON'T rely on caching but spend time analysing your model's problem or slowness

  • Rank 8 - Analytics Strategist

    And if he can - get himself physical mini-dimensions which only have the distinct list of values ... if need be!

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