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- W2617155604 abstract "With the rapid development of e-commerce, the number of goods has become more and more. When commodity screening system is used to store and process mass information, the existing models require all nodes in the distributed system to work in parallel, then the results of each node are integrated to get the final results, the process produces a lot of invalid queries. In order to solve this problem, proposed a new distributed structured data storage method. It statistics the history search results and chooses the high frequency or core columns to be key columns. The data can be stored based key columns and distribute system architecture. Then in the searching stage, only some nodes work when the search refer to key columns. The results show that this method can reduce the tasks and improve the throughout without extra storage consumption." @default.
- W2617155604 created "2017-06-05" @default.
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- W2617155604 date "2017-01-01" @default.
- W2617155604 modified "2023-09-25" @default.
- W2617155604 title "A Massive Structured Data Storage Technology for Commodity Screening Applications" @default.
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- W2617155604 doi "https://doi.org/10.1051/itmconf/20171104003" @default.
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