Method and device for loading tree node data

Abstract

The invention provides a method and a device for loading the tree node data. The method comprises steps that a node identifier of a tree node on which the to-be-loaded tree node data is stored is acquired; whether the node identifier is in a preset data loading file is determined, and a determination result is acquired; the loading strategy corresponding to the determination result is called to load the tree node data.. Through the method, a hybrid loading strategy including full loading and lazy loading can be adopted, a loading mode of the tree node data can be dynamically determined, and loading efficiency of the tree node data is effectively improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and device for loading tree node data. Background technique [0002] In the process of accessing the Internet, users often have the need to view a large amount of data. For example, for real-time follow-up of project research and development, it is necessary to view a large amount of summarized content about each process. In related technologies, the tree control invokes the full loading strategy to load all tree node data, that is, adopts synchronous loading, and loads all tree node data at one time, or, when the user clicks on a tree node, the tree control can invoke the lazy loading strategy to load the data The child node data of the tree node. [0003] In the first way, because the full loading strategy loads all tree node data, when the amount of tree node data is too large, the loading efficiency of tree node data is low. In the second way, because only when...

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Problems solved by technology

[0003] In the first way, because the full loading strategy loads all tree node data, when the amount of tree node data is too large, the loading efficiency of tree node data is low. In the second way, because only when the user clicks on a tree node, Only when the child node data of the tree node is loaded, when the data volume of the child node is large, the front end will frequently send data requests to the background server, and the loading efficiency of the tree node data is low

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