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Hastening write operations on read-optimized out-of-core column-store databases utilizing timestamped binary association tables

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dc.contributor.author Jones, Eric en_US
dc.date.accessioned 2015-09-20T20:21:59Z
dc.date.accessioned 2019-09-08T02:54:25Z
dc.date.available 2015-09-20T20:21:59Z
dc.date.available 2019-09-08T02:54:25Z
dc.date.issued 2015
dc.identifier 919254651 en_US
dc.identifier.other b21943266 en_US
dc.identifier.uri http://hdl.handle.net/1989/11623
dc.description vii, 28 leaves : illustrations ; 29 cm. en_US
dc.description.abstract The purpose of this thesis is to extend previous research on Out-of-Core column-store databases. Following use of the Asynchronous Out-of-Core update, which kept track of data using timestamps, an appendix is created which holds the newest timestamps and updated data by appending entries to the tables as new tuples. The appendix is naturally unsorted and unindexed by nature, causing need for a linear search that is not only slow, but causes ever-increasing query time as the volume of data within the appendix expands. Although measures exist to merge the appendix with the original body of the data, which is sorted and indexed, it only makes searching on the data swifter once the merging of tuples is complete. For this reason, the use of an offset B-Tree index to allow for more efficient searches on the appendix is proposed. en_US
dc.description.statementofresponsibility by Eric S. Jones. en_US
dc.language.iso en_US en_US
dc.relation.ispartofseries Master's Theses no. 1505 en_US
dc.subject.lcsh Database management. en_US
dc.subject.lcsh Information retrieval. en_US
dc.subject.lcsh Computer science. en_US
dc.title Hastening write operations on read-optimized out-of-core column-store databases utilizing timestamped binary association tables en_US
dc.type Thesis en_US


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