An Eventstream's live preview shows visitor-flow events from a branch's people-counting sensors passing successfully through every node, including the final node right before the destination. Yet the target Eventhouse table shows no new rows arriving. What does this pattern suggest?
Select an answer to reveal the explanation.
Short Explanation
When every node inside the Eventstream shows healthy data all the way to the exit door, the Eventstream has done its job — the problem lives just past that door, at the destination itself. Something about how the Eventhouse is set up to receive those events, like an expected column that isn't there, is where to look next.
Full Explanation
The Eventstream's own live preview confirms events are flowing correctly through every processing node up to and including the node immediately before the destination, which rules out the source, any transform or filter logic, and the Eventstream's internal routing as the cause. That leaves the handoff to the Eventhouse's ingestion as the remaining suspect, and a common cause there is a schema or field-mapping mismatch, where the destination table expects a shape of data the arriving events do not quite satisfy, causing ingestion to reject them after they have already left the Eventstream successfully. Malfunctioning sensors would show reduced or absent volume at the very first node in the preview, not healthy volume all the way through. A filter step silently dropping every event would show that drop visibly at the filter node itself in the preview, which the scenario explicitly says is not happening, since data passes every node. Lost source credentials would prevent the Eventstream from receiving events in the first place, which contradicts the healthy end-to-end preview described. The concrete check is to review the Eventhouse's own ingestion failure or rejection details for that destination table, since that is where a destination-side schema conflict would be recorded, separate from anything the Eventstream's preview can show.