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strategy question

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    strategy question


    been away awhile on other (hardware) projects, greetings to all!

    i have an ascii download (in a somewhat compressed format) that i must extract data from.
    when i import the file i need to lookup data from several tables to do an append to a
    master table. a sample of the import table (abbreviated) is shown below:

    field_1 005
    field_2 007
    field_10 234

    field_1 is the truck_idnumber
    field_2 is the driver_id number


    field_10 is the route_id number

    after the import is complete and filtered i need to lookup the actual data from
    tables that contain the fleet id of the trucks and the employee number of
    the drivers etc. below is again an abbreviated portion of the script:"trucks")
    fleet_id=tbl2.fleet_id 'fleet id is fetched from the trucks table
    employee_num=tbl3.employee_num 'employee number is fetched from the drivers table
    route_num=tbl4.route_num 'route number is fetched from the routes table

    this is very hard drive intensive as there are about 16000 records that get sorted each time
    and if ol' mr. hard drive has any weak spots i'm afraid .....

    i thought of using variables and loading them from all the lookup tables at the start but this
    would require about 1500 variables.

    any suggestions on how to speed up this arduous process? the hardware infrastructre is in place
    and cannot be altered so i'm limited to trying to resolve the issue within A5.

    best regards,


    RE: strategy question


    Create a set that links the other lookup tables to the table that you import to. After you import the table, do an update operation to the set and just set the parent table's field to the children (lookup tables) field's value. The time for the update for all selected records should be be several minutes at most I suspect.


    Ira J. Perlow
    Computer Systems Design & Associates
    [email protected]

    Ira J. Perlow
    Computer Systems Design

    CSDA A5 Products
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      RE: strategy question

      Hello Ed,

      This first thing that jumps out at me is that you appear to be doing a and table.close() for each lookup. Why not just open the table once and leave it open until you are done with the entire routine. This should save quite a bit of overhead. Unless there is something I'm not understanding, you don't need to open and close these tables for every cycle.

      Also, make sure there are indexes defined for the fields that you're looking up, this way lightning query optimization will be enabled. You could also try doing a fetch_find based on the index. I'm not sure that would be any faster than a query using LQO (lightning query optimization) but you could give it a try.

      Also, start the operations for each table with a .batch_begin() and end it with a .batch_end(). You could also open the tables in exclusive mode, but I think this is what the batch_begin() and batch_end() commands do.

      I don't know the order or number of new records you've appended, but I'm understanding that you take these newly appended records and using values in these records, lookup to existing records to 'complete' the newly appended records. Is this correct? If so it might be possible to create an index on the new records that puts them in an ascending order. Now you will know the limits of the values. Using this info you might be able to create a range on the existing tables that limited the lookups to the range of values in the appended records. This could prevent your 'queries' from searching through the entire table for the values, but basically this is what would be done with LQO as well. I have a feeling that a range would be faster though.

      Just thoughts, good luck



        RE: strategy question


        thanks for the help. i'll give these suggestions a shot tonight

        thanks again!