The invention discloses a multi-
granularity data
cascade updating method and device based on a dynamic
topological graph and a medium, and relates to the technical field of
data processing. The method maintains a multi-
level data dependency model (DAG) in memory. The
system recursively updates a target node by monitoring the change of a source node and utilizing an incremental propagation
algorithm. For a high-
concurrency scene needing isolation
verification, the method introduces an
overlay shadow topology mechanism: on the premise of not destroying a main graph structure and not
copying a
total graph, only instantiating a shadow copy of an affected node based on a Context ID, and constructing an
overlay Mapping pointing to a father node; when the propagation path is calculated, the numerical value of the shadow node is preferentially read based on the context, and the propagation path of the original node is logically blocked in the current context. The invention further provides a path convergence mechanism and rendering
frame synchronization technology based on topology in-degree, and the problems of resource competition,
data consistency and front-end rendering
flicker under the complex
dependence network are effectively solved.