6 results about "Lazy loading" patented technology

Embodiments of the present disclosure provide a virtual machine startup control method and device based on cloned cloud disks and electronic equipment. The method comprises receiving a lazy loading request sent by a virtual machine to a cloud disk of an elastic block storage, obtaining target snapshot data, and sending a snapshot download request to a mirror center to download at least two snapshot copies. The cloud disk is used to store data resources required for starting the virtual machine. The snapshot copy is mirror data of the data resources required for starting the virtual machine. The target snapshot data is data resources required for a target function of the running virtual machine. Each cloud disk is connected to a corresponding snapshot copy to obtain log files corresponding to the at least two snapshot copies respectively. The cloud disk loads the log files corresponding to the snapshot copies to form a cloned cloud disk, and starts the virtual machine based on the cloned cloud disk. By downloading multiple snapshot copies from the mirror center during lazy loading, the performance of the cloud disk is improved.

The application provides a virtual scrolling webpage data extraction method, system, medium and device, which comprises the following steps: after the initialization of a browser environment is completed, a first operation acting on a target webpage is received, a lazy loading mechanism of virtual scrolling is triggered in response to the first operation, full data is preloaded to the page, and the collection of enhanced data is realized by cyclically executing scrolling operations, waiting for data extraction and other operations; then, based on the total data dictionary obtained through the collection, non-continuous index traversal and detailed data collection are performed; finally, the complete data collected is output in a preset format, and the intermediate result is saved to the local. The method can realize complete, efficient and adaptive collection of full, non-continuous and multi-type key-value structured data in a virtual scrolling webpage, and can balance the environment authenticity, data integrity and execution robustness.

Techniques are disclosed relating to providing fast access to restored data in a cloud storage environment. A computing system stores multiple sets of incremental backup data that reflect changes in data being backed up between backup intervals and metadata that indicates which set of incremental backup data stores a given object. The computing system generates an endpoint for a requesting computing system, where the endpoint supports requests for restored backup data and data responses. In response to a request from the requesting computing system via the endpoint, the computing system queries the metadata based on the request and stores metadata retrieved from the query in a key / value store using object identification information as key data and the retrieved metadata as value data. The computing system provides requested data according to a lazy loading technique, including providing requested data via the endpoint based on the metadata in the key / value store.

The invention belongs to the technical field of computers, and particularly relates to an organizational structure information display method and system. According to the method, the complete organizational structure tree data is loaded to the front end at one time, so that interaction delay caused by frequent network requests in a traditional lazy loading scheme is avoided, operations such as unfolding and folding of a user can be instantly responded on the basis of local data, and the user experience is improved for the loaded total data. Through a mode of dynamically removing visual elements corresponding to all brother nodes of a current target node, only a small number of nodes on a current focusing path need to be rendered at any moment, so that the situation of interface jamming caused by one-time full-amount rendering in a traditional mode is avoided, and through cache paging and a selected state, the page rendering efficiency is improved. And all child nodes under the father node are mounted again during the folding operation, so that the smooth unfolding, folding and batch operation experience is provided while the large-scale hierarchical data is efficiently processed.

The invention provides an iOS mobile terminal-oriented data delay loading method and system based on a GraphQL protocol, and related equipment. The method comprises the following steps: receiving a stream segment load transmitted by a server based on a GraphQL protocol, and analyzing a causal fence identifier in the stream segment load; based on the causal fence identifier, establishing and maintaining a causal fence state for a key value corresponding to the stream segment in a standardized cache of a client; inputting the causal fence state into a user interface hydration engine of a client, and performing causal fence verification on fragments in a waiting queue in the user interface hydration engine; and when the causal fence verification meets a dependent closure, submitting a user interface update transaction of a corresponding segment by utilizing the user interface hydration engine.

Techniques are disclosed relating to providing fast access to restored data in a cloud storage environment. A computing system stores multiple sets of incremental backup data that reflect changes in data being backed up between backup intervals and metadata that indicates which set of incremental backup data stores a given object. The computing system generates an endpoint for a requesting computing system, where the endpoint supports requests for restored backup data and data responses. In response to a request from the requesting computing system via the endpoint, the computing system queries the metadata based on the request and stores metadata retrieved from the query in a key / value store using object identification information as key data and the retrieved metadata as value data. The computing system provides requested data according to a lazy loading technique, including providing requested data via the endpoint based on the metadata in the key / value store.