Events table

This table shows the columns for the Events list view and their descriptions.

Note: You must get the events list first, before you can view the events table contents. The events are listed in chronological order as they are written to Kafka®.
Column Description
Timestamp The time when the event was received by the Event Hub.
Publisher The application that published the event. You can filter already loaded events on Publisher using the Contains or Equals operation.
Document The name of the data entity. You can filter already loaded events on Document using the Contains or Equals operation.
Operation The action on the document that triggered the event. You can filter already loaded events on one or several operations. You can select all eight operations individually in the list.
Elements

The name-value pairs for the document data. Old values are shown within parenthesis. You can filter already loaded events on Elements using the Contains or Equals operation.

Note: Use the View element button to view the elements for one selected event in a text field.
Publication Time The time when the event was published.
Tracking ID

The ID to track a series of related events. You can filter already loaded events on Tracking ID using the Contains or Equals operation.

Note: Use the Filter events button to filter all events on the tracking IDs of one to 10 selected events.
Partition The partition in which the event belongs. You can filter already loaded events on Partition using different operations: = ≠ < ≤ > ≥. This column is usually hidden as it is intended for advanced use.
Offset The position of the event within its assigned partition. You can filter already loaded events on Offset using different operations: = ≠ < ≤ > ≥. This column is usually hidden as it is intended for advanced use.
Note: Use the filtering functionality in the Events table to filter already loaded events. Filtering of alphanumerical values is case-insensitive, both when using the Contains and the Equals operations. You can filter on several columns, using a logical AND operation between the columns. Use filtering criteria in the Subscriptions section to filter which events to load using an expression.