Incremental data cleaning method based on memory mapping
A technology of incremental data and memory, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of restricting performance potential, poor utilization of T-tree cache, etc., and achieve the effect of reducing design cost
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[0044] A method for cleaning incremental data based on memory images, comprising the steps of:
[0045] The first step is to load all the databases into the memory, select the table that needs to be indexed in the memory database, and build an MDB-tree index structure for the key values of the columns that need to be indexed in the table:
[0046] The first is to build a similar B+ tree: Insert keywords into the tree according to the B+ tree building rules. Each node does not store data, but only stores keywords. The keywords in each node are ordered and contain the number of keywords + 1 points to A pointer to a child node.
[0047] After the B+ tree is established for all keywords, the leaf nodes are filled with a HASH table: select a hash function with a low calculation amount for each keyword to calculate the hash value of the keyword, and then record the keyword and corresponding data in the memory address Put it in the HASH table, if the HASH address conflicts, store ...
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