As far as I understand you want to use a query to separate the contents of a single field that contains data put together that should be separated into more fields and not specifically find a particular value in the table.
You could import/export the table into/to another program that could handle what you need to do, then bring the new table into the original program (Paradox).
You could get Monarch for Windows from Datawatch Corp.
I used to use version 2.0, now they are at version 6. You may be able to purchase an older version from somebody else if you want to save money. It is a wonderful program for importing data from older systems. This program for example can read text files and thru a filter (that you establish in the program) separate portions of text the way you want it. Then it converts the selection into a table. In your case you could
These are the instructions for Monarch version 2.0 (that I own):
1) export the table to a text file (probably Monarch can also read the table directly).
2) perform the filter by using a model file created by you in Monarch to obtain the new table. Monarch's Model files can be saved and are reusable. The first time will take a little work, then the following times are a matter of applying the saved model (the filter) again.
3) export the new table from Monarch into a table readable by your program.
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Another option (if you could not purchase Monarch):
Assuming that the commas are evenly placed on all the data: duplicating the table, then manipulating the table copy by duplicating the original column several times with a table restructure and data inserting from the original column to the others, then reducing the field width of the copied columns or manipulating the additional columns.
i.e. original table:
Original table:
Column 1
123,456,789
New table:
Column 1 Column 2 Column 3 Column 4
123,456,7890 123,456,7890 123,456,7890 123,456,7890
New table after changes:
Colum 1 Column 2 Column 3 Column 4
123,456,7890 123 123,456 123,456,7890
With further queries the left side of columns 3 and 4 are removed:
Column1 Column 2 Column 3 Column 4
123,456,7890 123 456 7890
César P.