Associated data compressing method friendly to query
A technology of associated data and compression methods, applied in the field of big data, can solve problems such as aggravating performance problems and reducing query efficiency, and achieve the effect of improving the compression rate
Active Publication Date: 2017-05-24
WUHAN UNIV OF SCI & TECH +1
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The invention relates to an associated data compressing method friendly to query. The method comprises the following steps: defining a relation mining rule, and mining a potential incidence relation in a triad; defining a compression query memory model which consists of a subject vector, a predicate vector and an object matrix; defining a serialization mode of the compression query memory model, and implementing serialization and deserialization by using three auxiliary symbols; defining a query mode of executing SPARQL on the compression query memory model, querying a subject and a predicate by using a binary search method, and querying an object by using a linear traverse method; and defining a scheme for solving slow query caused by the over-large object matrix, and dividing a large data block into a plurality of small data blocks. Compared with most of existing compression schemes, an associated data set processed by the method has the characteristics that the compression ratio is increased, and SPARQL query operation can be carried out directly under the compression state.
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SerializationCompression ratio +4
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