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Status Not under consideration
Workspace IBM i
Categories Db2 for i
Created by Guest
Created on Dec 31, 2020

cpyfrmimpf should handle commas.

The cpyfrmimpf command handles values similar to 123.45 and -678.90 in a numeric field, but sends message CPF2845, reason code 7 for values like 1,123.45 or -1,678.90. The command should handle commas as well as decimal points and minus signs.

Use Case:

We import spreadsheets by saving them as .csv files and using cpyfrmimpf to copy the data to a physical. The user needs to re-format all cells in columns which may contain numerics exceeding 999.99, or define the target field in the PF as character and programmatically eliminate any commas.

Idea priority Medium
  • Guest
    Apr 23, 2021

    IBM does not intend to provide a solution to this request at this time, so it is being closed.

    While we agree that this could be a useful addition to the command, the cost necessary to deliver this feature is not considered worth the anticipated benefit.

  • Guest
    Mar 11, 2021

    Due to processing by IBM, this request was reassigned to have the following updated attributes:
    Brand - Servers and Systems Software
    Product family - Power Systems
    Product - IBM i
    Component - Db2 for i
    Operating system - IBM i
    Source - None

    For recording keeping, the previous attributes were:
    Brand - Servers and Systems Software
    Product family - Power Systems
    Product - IBM i
    Component - Languages - CL (Control Language)
    Operating system - IBM i
    Source - None

  • Guest
    Jan 4, 2021

    Normally numbers like that are enclosed in quotes (otherwise it is impossible to tell which is a separator or comma).

  • Guest
    Jan 1, 2021

    I'm not sure how a parser will be able to figure out the different from a comma in a value and a separator. I suppose if the Separator was NOT a comma, then it would be able to figure it out. But you wouldn't need a change to this command in that situation.
    I would suggest you do this to test if it is even possible:
    Save the Spreadsheet as CSV as usual.
    Then close the Sheet and try to open it in Excel and see if the columns line up properly. If they do, then perhaps some can be done like you're asking.