1 2 3 4 Previous Next 56 Replies Latest reply on Jan 6, 2014 4:02 PM by steve_c

    New User having difficulty with Excel Table Import to create first database

    steve_c

      Title

      New User having difficulty with Excel Table Import to create first database

      Post

           I am pretty new to filemaker and I am just learning the basics at the moment and could do with some help in pointing me in the right direction.

           Not sure if this is the best option to start but I am creating a training database from an excel table which I had 1630 records within it (Table - Personnel as above with the relevant fields which contain details of each person, about 170, each person can have attended many training courses).

           My second table - Courses is another excel table which has 4 fields and 76 records.

           Because I have a large amount of data that I don't want to re-enter the data I would like to use the existing personnel table data and be able to add or update new records as the database grows. 

            

           About 4 weeks ago when I initially tried to create a portal it worked ok, showing the first and last names with the training courses, course date and refresher date all inside the portal.  I have gone away tried to view as many videos and fm training lessons I have come back to start and develop my first database and appear to have brain washed myself in the process.  Even though I created a relationship between the two tables above I get nothing in the portal?

           Regards

           Steve

            

            

      Personnel_pic.png

        • 1. Re: New User having difficulty with Excel Table Import to create first database
          philmodjunk

               So on the layout for personnel you placed a portal to Courses and see nothing in it?

               That would suggest that for the current personnel record, there are no records in Courses with a value in _fkPersonnelID that exactly matches the value in __pkPersonnelID. Make both fields visible on different layouts and examine the values. Make sure that __pkPersonnelID is not blank--if you don't set it up to auto-enter a value and don't enable auto-enter options during import, this field will be empty. Make sure that _fkPersonnelID has the correct matching value in each record in Courses--this won't happen automatically you'll need to set up a system that works from your imported data to find and copy over the matching _fkPersonnelID value.

               Note: I am assuming the __pkPersonnelID is intended to be a primary key that is supposed to auto-enter a serial number of Get ( UUID ).

          • 2. Re: New User having difficulty with Excel Table Import to create first database
            steve_c

                 Phil

                 After reading your post I tend to think that I have started in the middle with my import from excel rather than at the beginning.

                 You were correct my fk fields were blank, would it be better to start again?

                 I have the original excel spreadsheet with the data, what I think need to do is create a (personnel) and (courses) table with the fields as before but without any data in the (personnel) table, then the next stage would be to import the data from the excel spreadsheet into the relevant fields.  Is this a doable way or is there a better option?

                  

                  

            • 3. Re: New User having difficulty with Excel Table Import to create first database
              philmodjunk

                   You don't need to re-import the personnel data and you definitely don't need to redefine tables.

                   You can use Replace Field Contents to update the __pkPersonnelID field to assign a serial number or Get (UUID) value to each. (Use a serial number unless you have a reason not to.) If the field is not defined to auto-enter a serial number, make that change first so that replace can be used both to assign serial numbers and update the "next serial value" setting at the same time.

                   But you'll then need to get matching values into the _fkPersonnelID fields. What data, if any, do you have in that table that will tell you which course was taken by a specific person? Unless there is some such identifier, a Name, an ID number, SSN, DR License.... imported with the courses data, there is no way to tell which record in Courses should be linked to a specific record in Personnel.

                   So what you do next to link in the courses records depends on what data you have to work with in your original excel file.

              • 4. Re: New User having difficulty with Excel Table Import to create first database
                steve_c

                     Phil

                     The excel spreadsheet was created from an alpha five database as an export, it includes a number of fields that I have not used in my first posting to link the individual to the course.  Is there anyway I could post the excel file its only small?  I can only see on the forum a means of attaching a picture, is this correct?  Just though it may help you direct me down the best path if you could see what I have?

                      

                • 5. Re: New User having difficulty with Excel Table Import to create first database
                  philmodjunk

                       I don't think that I need an actual copy of the file. Just describe what data you have that can be used to match a course entry to a personnel entry in your original data. What you can do is import that data into both tables and use it as a "termporary match field" in order to update the _fk field with the needed data.

                       But if the time comes to share a file other than a graphic, you can upload the file to a sharing site such as Drop Box and then post the download link for the file in your next comment.

                  • 6. Re: New User having difficulty with Excel Table Import to create first database
                    steve_c

                         I have moved on a little and managed to create a link from my excel workbook (L_ID) was the field used to create and transfer records to my second table (tbl_Personnel).

                         I then managed to create a relationship between the two tables (see attached), then I created a portal to contain 3 fields (Training_Course) (Course_Date) and (Refresher_Date) with 1 to 10 and a vertical scroll bar.

                         Problem I have now is that the first record (Mark Adams) see attachment, shows the correct records in the portal but I have to click on the book icon to scroll through the 9 or so records before I come to the next person, then the portal changes to the next person but I still have to scroll through the book icon a number of times to get to the next record.

                         I have hopefully included a number of screen shots to see if someone can point me in the right direction.

                          

                    • 7. Re: New User having difficulty with Excel Table Import to create first database
                      steve_c
                      /files/9baadd367a/Doc1_page2_image4.jpg 1280x720
                      • 8. Re: New User having difficulty with Excel Table Import to create first database
                        steve_c
                        /files/48e241db10/Doc1_page2_image3.jpg 1280x720
                        • 9. Re: New User having difficulty with Excel Table Import to create first database
                          steve_c
                          /files/6b0fc51cd6/Doc1_page2_image2.jpg 1280x720
                          • 10. Re: New User having difficulty with Excel Table Import to create first database
                            steve_c
                            /files/da214c7fc9/Doc1_page2_image1.jpg 1280x720
                            • 11. Re: New User having difficulty with Excel Table Import to create first database
                              philmodjunk

                                   From what you describe, it sounds like you have multiple duplicate records for each person in your Personnel table. If you can find and delete the duplicates without also deleting the courses records, you should be good to go.

                              • 12. Re: New User having difficulty with Excel Table Import to create first database
                                steve_c

                                     I have attached a print screen view of (tableview), I can see the duplicate entries in the table but not sure how to remove them?

                                     <img alt="" src="data:image/png;base64,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

                                • 13. Re: New User having difficulty with Excel Table Import to create first database
                                  philmodjunk

                                       And on which table in your database is this layout based? This looks like a layout that shows data from both fields where there should either be only fields for Personnel or only fields for Courses.

                                  • 14. Re: New User having difficulty with Excel Table Import to create first database
                                    steve_c

                                         Phil

                                         I believe that I have lost my way completely, I have the following

                                         Layout1

                                         Layout2

                                         tbl_Personnel

                                         I have the data on the screen that I require in a fashion but when I traverse through the book icon, the numer of keystrokes to the next person depends upon how many training courses they have attended, because it is going through each one.

                                         I think it would be quicker and easier if I started from scratch and built a database from a blank canvas and inputt the data from the paper records.

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