Meaning
Inconsistencies between two versions of a live data feed occur when processing delays or network interruptions cause one node to lag behind another. When stream state divergence happens, the record of an event in one location differs from the record in another location at the same timestamp. This gap creates a temporary disagreement about the truth.
Latency Influence
Network congestion often causes a delay in the delivery of updates to a remote observer. While the source might show a transaction as completed, the observer sees it as pending. This divergence lasts until the network clears and the nodes synchronize their states.
Conflict Resolution
Systems use timestamps or vector clocks to determine which version of a record is the correct one. The node with the most recent update usually overrides the older data. This automated resolution ensures that the divergence does not become permanent.
Operational Cost
Managing a divergent state requires additional computational memory to track the different versions of the data. High frequency trading or real time logistics platforms face significant risks when decisions are based on an outdated stream. The cost includes the loss of transaction accuracy and the capacity hours spent auditing the discrepancy.
