On This Page

Overview

Each item is a package, consisting of the media itself, version history, author, sharing, and any other metadata. DryvIQ ensures all pieces of the item package are transferred to the destination to preserve data integrity. If DryvIQ can't transfer an item, the item is set to retry. By default, DryvIQ will attempt three times to reconcile items that are in pending/retry status. Depending on your job configuration, this may occur with the defined schedule, or you can start the job manually. When an item is in a "flagged" status, this means DryvIQ has made all attempts to transfer the file without success, and it requires manual remediation. These items can be retried or ignored on subsequent job runs. If retried and successfully transferred, the item will be removed from the flagged items. You can identify the flagged items in the user interface through the flagged item reporting, or you can pull flagged item reports through the REST API. 

Viewing Flagged Items

You have the option of viewing flagged items for all jobs using the Flagged items option on the menu, for a single job through the jobs menu option, or for a group of jobs through the reports.

Flagged Items Menu Option

The Flagged items menu option will display the flagged items across all jobs. Use the export option to export the report to a csv file. You can then use the file to remediate issues by correcting issues that are preventing items from transferring and identifying flagged items that don't need to be transferred. Once you’ve worked through the export, return to the Flagged items page to set the job to retry an item or ignore it on the next job run. You can also choose to view the history of the item. You can work with one item at a time or select multiple items and select the appropriate action.

Flagged Items in Roll-up Job Reports

Selecting Flagged in the chart on the Overview tab of the report will automatically take you to the Items tab and filter it to show just the flagged items for the jobs included on the report. The same options are available here to export the lists to a csv file, ignore items, retry items, and view the item history. 

Flagged Items in Individual Job Reports

When viewing information for an individual job, you view the flagged items for the job by selecting Flagged in the chart on the Overview page. This will take you to the Items tab and filter it to show just the flagged items for the jobs included on the report. You can use the filter options on the Items tab to view the flagged items. Again, the same options are available here to export the lists to a csv file, ignore items, retry items, and view the item history. 

Flagged Items Using the REST API

List All Flagged Items

List all items from all jobs that have the flagged status. After review, items can be set to retry or ignore on subsequent job runs.

Set Single Item to Retry or Ignore

When an item is flagged you can reset the status to either retry or ignore on the next job run.

Set Flagged Item for Retry

Set Flagged Item to Ignore

Set Multiple Items to Retry or Ignore

When items are flagged you can reset the status to either retry or ignore on multiple items for the next job run using the same filter options available for viewing those items.

Set Flagged Items for Retry

Set Flagged Items to Ignore

Set Flagged Items to Ignore

Set Flagged Items to Ignore

List All Items Set to Retry or Ignore

List all items from all jobs that are set for retry on subsequent runs.

List All Items Set to Retry

List All Items Set to Ignore

Show All Items for Remediation

Show All System Error Categories

When issues occur during transfer, DryvIQ will categorize the issues based on the error and flag for manual remediation. This allows you to easily identify areas for review.

Create Custom Error Category by Audit Type

DryvIQ allows you to create your own custom error category by audit type. For example, you could group several error codes together to create a broader category to ignore.

Create Custom Error Category by Event Type

DryvIQ allows you to create your own custom error category by event type. For example, you could group several events such as rename and update to create a broader category to retry.