User Import CSV Column Heading Requirements

Zebra recommends to use the field names stated in the table below.

Transformation attributes are case sensitive and use the case of the column headings.

The characters in the csv column heading are the string specified in the transformation mapping attribute.

There can be more columns present in the csv file than are required for the transformation. Extra columns are ignored.

If the user data contains a comma, as in role1,role2,role3,  the value should be enclosed in double quotes.

The csv file should include all users required to be populated into the PFM and Zebra PTT Pro Systems for each import. After the initial import is performed:

If a user csv record is removed, the user is deleted from the servers.
If a user csv record is added, a new user is populated to the servers.
If a user csv record is changed, those changes are made for that user.
If a user csv record is present and no changes are identified, the user is unmodified.