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fetch_find()

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    fetch_find()

    where i have an index that includes two fields, how do i use fetch_find

    index is on last_name and first_name

    i usually say something like:

    tbl=table.current()
    tbl.index_primary_put("sales office")
    rec=tbl.fetch_find("athens")
    if rec .........

    but in this case tbl.index_primary_put("bmain") ''two fields
    if the first name is john and last name is smith
    have tried
    tbl.fetch_find("smithjohn")
    since the index would logically be smithjohn
    but it hasn't worked
    Cole Custom Programming - Terrell, Texas
    972 524 8714
    [email protected]

    ____________________
    "A young man who is not liberal has no heart, but an old man who is not conservative has no mind." GB Shaw

    #2
    RE: fetch_find()


    Hi Martin,

    If you look a few messages down "search failed" or somthing close to that,
    you can read some discussion on the topic of searching on an index using
    more than 1 field.

    Comment


      #3
      RE: fetch_find()

      This is really easy to look at in the interactive window and well explained in the Xbasic docs.

      If you have a table called names.dbf with fields lastname (c, 20) and first name (c, 10) and an index called last_first which is defined as
      trim(last)+space(1)+trim(last)
      and you have a record with values John (first name) and Doe (last name) which, for the sake of argument, is the only Doe in the table.

      Look at the record in a browse or form and note its record number. Again, for the sake of argument, say the record number is 1234. In the interactive window

      t=table.open("names")
      t.index_primary_put("last_first")
      rec=t.fetch_find("Doe")
      ?rec
      -1234
      rec=t.fetch_find("doe john")
      ?rec
      1234

      In the first case it returned a -1234 indicating that an exact match was NOT found, even though the correct record was located. In the second it returned a positive 1234 because an exactly matching key existed in the index. If the index as defined as last+first, the only way an exact match could be found would be if the search string was
      rec=t.fetch_find("doe.................John......")
      where the dots are really blanks.

      I would only use fetch_find on name fields to locate a record(s) for presentation to the user, never as a prelude to further manipulation. OTOH, fetch_find on unique key indexes like ID fields is a great way to process records in a script.

      Finian
      Finian

      Comment


        #4
        RE: fetch_find()

        Oops, the index should be
        trim(last)+space(1)+trim(first)

        Finian
        Finian

        Comment


          #5
          RE: fetch_find()

          thank's ever so much

          had not yet used an expression to define an index = thank's

          up until very recently all my customers had small files, may 700 to 3500 parents and maybe 200 to 5000 children

          i had a lot of indexes and many sets

          a new customer who is seriously looking at my hearing aid dealer program has maybe 30,000 parents and maybe 60,000 children each in three child files

          after creating a test database with that number of records, it was immediately obvious that i am carrying toooo much bagage - so i'm learning not to be so lazy - and am learning how to create an infrequently used set or index when needed instead of keeping it all the time (which is why i had to learn to search on multi-field indexes.)

          big files are really quite different from smaller ons!!!!!!!!
          Cole Custom Programming - Terrell, Texas
          972 524 8714
          [email protected]

          ____________________
          "A young man who is not liberal has no heart, but an old man who is not conservative has no mind." GB Shaw

          Comment


            #6
            RE: fetch_find()

            Welcome to the club.

            But, of course, 90 K records is still really a pretty small table ... other than the zip code table I think we only have 3 or 4 others under 100 K.

            Comment


              #7
              RE: fetch_find()

              when i read about some of you having from 100,000 to 250,000 records and up i wonder how you do it, but am learning. e.g., with only a few records you can compact the database in a few seconds, but with 250,000 parents and who knows how many children it could take an hour.

              i have been experimenting with ways to keep the number of "active" indexes and sets to a minimum.

              i notice that with my test data i can use the tag add method to create an infrequently used index. it takes about 2 seconds for the system to create it, and my thinking that if i do that with all infrequently used indexes and sets, it should make the system much faster - like it would keep to a minimum what has to be updated when new records are added.

              a question that i can't find any documentation on is this:
              if i manually "drop from the database" a set the set can be re-added manually, too. but when dropped forms using the set are dropped, too, and then added back when the set is added again. i have looked for methods to set_drop/set_add that would "automatically" do that. haven't found anything.
              is there a way to do this with xbasic - or would i be better off using xbasic to create the set when the user needs it.

              will keep on experimenting for optimal performance

              Cole Custom Programming - Terrell, Texas
              972 524 8714
              [email protected]

              ____________________
              "A young man who is not liberal has no heart, but an old man who is not conservative has no mind." GB Shaw

              Comment


                #8
                RE: fetch_find()

                Martin:

                I don't see any performance advantage to dropping sets from the database if the set has layouts attached. (You can use the file_add_to_db() method for this) OTOH, creating a set with xbasic for the purposes of processing operations in a script is probably a good way to reduce clutter.

                Finian
                Finian

                Comment

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