Improving the performance of a 4 Million record FTI - is data partitioning my best option ?

  • I have a table with 4 Million documents that i access via FTI. I also have an int Id field as a clustered index.

    When i search for words in the documents that are rare, the query is very fast, 1 second.

    When i search for words that are very common, the query is much slower, 13 seconds.

    I can use a date field to reduce the volume of data, but it still seems some what slow.

    eg.

    No date selection used - 673770 recs found - 13 seconds

    Within 30 days - 18563 recs found - 12 seconds

    Within 10 days - 19 recs found - 9 seconds

    I have implemented all the suggestions from the Execution Plan, but would still like better performance.

    I have 32 GB RAM in my server, dual Quad core, and have enabled 'AWE' to allocate memory.

    Is data partitioning my best option for improving performance ?

  • I'm not sure that partitioning is the best way to do this since you still have to go through all of the data no matter which partition it is.

    Jared

    Jared
    CE - Microsoft

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