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Created at – date of the imported file upload
Created by – Backoffice user who uploaded the import file
Model – the type of data set imported (coupon, coupon pool, event, customer, reward, store, challenge, customer field, customer mapping rule, product, user group)
Status
Uploaded – the import file has been uploaded successfully, but the import settings have not been configured yet
Pending – the import file is uploaded successfully, and the import settings are configured, but the import process has not started yet
Processing – the import process is in progress
Preloaded -the data has already been loaded, and the import of the records will begin shortly
Finished – the import process has been finished
Please note, that the status of the import is still ‘Finished’ if the file has been processed, but some of the records were not imported due to errors described on the Import details page.Failed – the import process has failed
If the issue persists, please contact the Antavo Service Desk.Active - the import configured with repeated scheduling will trigger an import on the next scheduled time
Inactive - the import configured with repeated scheduling will not trigger an import on the next scheduled time
Filename
Filesize
The size of the import file is in bytes.Anchor download download
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Scheduling of previously configured imports may be modifiable after being created, please find detailed information below. |
Preload
Enabling the preload option initiates the pre-processing of imported records before insertion into the database. Preloading accelerates the import procedure and highlights any records that cannot be imported.
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File format options
Delimiter – use the dropdown list to select the value delimiter that is used in the file
The default option is the comma, but you can use, a semicolon, pipe, or tab as well.Enclosure – currently, the double quote is the only option to indicate that a delimiter character is used within a single field value
Eg. if a comma is used as the delimiter, the value news, entertainment will be processed as two values of two separate data fields (news and entertainment), however, if you use double quotes as “news, entertainment“, it will be processed as the value of one data field.
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Once the process has been initiated, the ‘View’ tab is added for monitoring the results of the import process.
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If the import preload has been enabled, the Log section on the View page is empty, all the record-level results are listed under the Preloaded data tab. |
While the ‘Log’ details the output of the process, the ‘File info’ summarizes the import file properties.
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Please note that changing schedule settings is not applicable to On-date scheduled imports that have already run their courses. |
Logs
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Preloaded data
If import preload is enabled, preloaded records are displayed once the import process is initiated and pre-processing is completed.
The following information is displayed for each record:
Row number - The ordinal number of the row
Status - Status of the record import (pending, finished, failed)
Error - Error occurred during the import process, if any
Imported at - Date of the import execution
By clicking the > icon at the beginning of each row, you can access detailed information about the preloaded record:
Field name
Field value
Field target (the value provided in the ‘To’ field under Field settings, if any)
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Using the search bar on the top, items can be filtered by status and row number.
Logs
A 'Logs' tab is automatically added if the import was created with repeated scheduling. The page lists all the runnings of the configured import with the date of running, and the current status which can possibly be:
Processing – the import process is in progress
Success – the import process has finished
Failed – the export process has failed
Please contact the Antavo Service Desk for further information if the issue persists.
At the end of each row, you can find a ‘Download’ button to download the import file.
If you choose the turn on the preload option during import setup, you can browse the preloaded data of each import occurence by clicking the corresponding 'Preloaded data' button.
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