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Dynamics 365 Community / Forums / Finance | Project Operations, Human Resources, ... / Invalid Character in V...
Finance | Project Operations, Human Resources, ...
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Invalid Character in VendId

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Posted on by SL_GP_BC_123 1,006

My client recently upgraded to SL2018.  They've been on 2018 since the beginning of July.  They recently found a vendor code that has an apostrophe.  As such it gives them a text control error anytime they try to use the vendor.  I've tried updating it using the PSTL tool, however the utility is not allowing the selection of the vendor code again due to the invalid character.

Is there a way to work around this selection error.  Is there a list of tables where we can update via SQL?  I know the list would include

Vendor

APDoc

APTran

APAdjust

APHist

AP_Balances

Are there other tables we need to consider?  Please advise.  Look forward to a response.

JG

I have the same question (0)
  • MARC_ Profile Picture
    MARC_ 626 on at

    Hi JG,

    I just ran Nexvue Keychange on my test system and this is the output report of table / column combos that it hits.  Good luck (take a backup first!) 

    Marc

    [View:/cfs-file/__key/communityserver-discussions-components-files/35/KCALLBGG.LOG:320:240]

  • CFROTON Profile Picture
    CFROTON 4,710 on at

    Hello JG

    You can run this, but it will return views as well. (appdb)

    SELECT COLUMN_NAME, TABLE_NAME

    FROM INFORMATION_SCHEMA.COLUMNS

    WHERE COLUMN_NAME LIKE '%vendid%'

  • Mark E Profile Picture
    Mark E 6,451 on at

    I would run this script against your App DB:

    select obj.name as 'Table', col.name as 'FieldName', type.name as 'Column Type', col.length as 'Length' from syscolumns col join sysobjects obj on col.id = obj.id

    join systypes type on col.xtype = type.xtype

    where col.name like '%vendid%' and obj.type = 'u' and type.name = 'char' and col.length = 15 order by obj.name, col.name

    If you just run on the '%vendid%' wildcard, you will get columns that may have vendid as part of the name, but will include types and lengths that do not match the VendID column structure.

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