Data caching and acceleration algorithm based on user relation degree
A technology of data caching and relational degree, applied in database indexing, structured data retrieval, electronic digital data processing and other directions, it can solve the problems affecting the user experience of access, etc., and achieve high-performance data fast access, reduce data scale, and improve performance. Effect
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[0037] Example (outer sort):
[0038] Assuming that the relationship degree data between friends in the storage database is divided into several sub-files, it is necessary to sort all the data from large to small (that is, first output the largest, and then output the second largest, until the order of all elements is obtained).
[0039] 1) Read each file block in turn, sort the current file block in memory (apply appropriate internal sorting algorithm), and write the sorted results directly to the external storage file (write to different sub-files respectively), At this point, each block of files is equivalent to an ordered queue arranged from large to small;
[0040] 2) Next, multi-way merge sorting is performed, and a large top heap of multiple elements is established in the storage database (note that the requirement here is not only to obtain topK, but also to output in order from large to small, so no small top heap), that is, the value of each node is greater than or ...
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