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Data Watcher 1.20
Data Watcher 1.20
  • 🚀GETTING STARTED
    • What is Primeur Data Watcher
    • Main features of Primeur Data Watcher
    • Navigate through Primeur Data Watcher
  • 🔶MODEL
    • Modeling Dataflows
    • Dataflow Model lifecycle 🚀
    • Dataflow Modeler 🚀
      • Dataflow Modeler toolbar
      • Dataflow Properties panel
      • Node Properties panel
      • Matching Criteria
      • Cut-offs 🚀
        • Cut-off calendars
      • Notifications 🚀
      • Dataflow Model attributes
  • 🕒MONITOR
    • Dataflow Inquiry 🚀
      • Dataflow Inquiry options 🚀
      • Levels of detail of the dataflow 🚀
    • Dataflow Instance attributes
    • Cut-off Board 🚀
  • DESIGN
    • Configure Dataflow attributes
    • Save and share queries 🚀
  • 🧐TROUBLESHOOTING
    • Data Watcher users 🚀
    • Data Watcher Engine extended downtime vs missing events and/or dataflows
    • How to run searches in Data Watcher
    • Data Watcher MongoDB scripts
      • Back up the Data Watcher MongoDB 🚀
      • Restore the Data Watcher MongoDB 🚀
      • Clean up the Data Watcher MongoDB
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  • Status column
  • Cut-off column
  • Additional columns
  • Additional options
  1. MONITOR
  2. Dataflow Inquiry 🚀

Levels of detail of the dataflow 🚀

PreviousDataflow Inquiry options 🚀NextDataflow Instance attributes

Last updated 17 days ago

The details shown in the columns of the Dataflow Inquiry page, provide information about the dataflow: last event date, status, cut-offs, data (filename and file size), source and destination.

Status column

The status of the dataflow is shown in the Status column of the Dataflow Inquiry page and can have one of these icons indicating the Dataflow Integrity status:

  • Completed

  • Running

  • Error

  • Resumable

  • Resume process submitted, waiting for new events

🚀 A specific license is needed to take advantage of the Resume Flows feature and filter. Moreover, the user must have the DWRESUMEDATAFLOW permission to actually resume dataflows.

Flows can be resumed if they are monitored in a system, like Data One, in a bundle with Data Watcher.

You can use the options in the Advanced section of the Filter panel to quickly list all dataflows that can be resumed. See the Show resumable dataflows option in the Filter panel section of the page.

The resume option can have a grey icon meaning that the flow can be resumed. When the icon turns yellow the flow is waiting for new events.

To resume one or more dataflows, check the box or boxes on the left of the row and click the Resume <n> flows button that appears on the left of the Search bar. After confirming that you want to resume the flows, a message will inform you that your request has been submitted. Click the SHOW FLOWS button if you want to list the flows that are currently being resumed. All FlowIDs will be added to the Search bar at the top of the page.

At this point, the icon can appear, meaning that the flow is still in error, or the icon can appear, meaning that the flow is completed.

Cut-off column

The 2 icons of the Cut-off column show the cut-off status of the entire dataflow (upper icon) and the cut-off status of the single instance (lower icon). The icon can be one of these:

Additional columns

In addition to the last event date, status, cut-offs, data (filename and file size), source and destination columns, you can enable the following ones - information will be shown if applicable:

  • 🚀 Model: if the dataflow is modeled, its version will appear as a chip at the bottom of the row.

  • Correlation ID: the correlation ID will appear in a specific column next to the Source/Destination.

Additional options

Clicking the 3 dots button on the right of the flow, the following options will appear:

  • Copy flow id: copy the flow id to the clipboard and use it for troubleshooting.

  • Export: download a zip file to your local drive. The zip file contains information on the events of the exported flow, which is useful for troubleshooting.

  • Resume flow (license needed): resume the flow if monitored in a system, like Data One.

No cut-off is set.

The cut-off is Pending. The dataflow or the instance will be completed in the future.

The cut-off has a Warning. The dataflow or the instance is still pending and near the deadline.

The cut-off is OnSchedule. The dataflow or the instance has been completed successfully and is on schedule.

The cut-off is in Error. The dataflow or the instance has not been completed or has been completed after the scheduled time.

🚀 Attributes: the values of the attributes assigned to the dataflow will appear as a chip at the bottom of the row. Each dataflow is modeled associating specific values. Attributes are configured by the Administrator as described on the page.

Finally, a grey chip shows whether the overflow is ignored or not:

Model as a flow: open the page.

New instance attribute: configure that the user can select when modeling the flow.

View in logs: go to the page and see all the events occurred to the dataflow, filtered by its DFIID.

🕒
Configure Dataflow Attributes
Dataflow Modeler
Dataflow Inquiry
Logs
instance attributes