DISTRIBUTED DATABASE STRUCTURE DESIGN BASED ON SQL-QUERY PARSING

Abstract

In measures of research, the specificity of operational records associated with the transition from local to distributed database was discussed. This trend is motivated by the presence of different accounting types, by existence of workstations that are geographically remoted and, of course, by the need of consolidating data analysis. In view of distributed database structure usage necessarily is actual question of best data storage strategy for different parts of data in distributed database. In addition, it is important to choose right way and technique of its future synchronizing in case of its changing or may be for making consolidated analysis by on-line analytical processing subsystems. Research aims to improve execution speed of local SQL-queries with keeping value of data relevance in acceptable measures by optimizing the database structure of remote workstation place. It makes possible by users SQL-queries parsing with future clustering and classification of central DB relations set. The first stage is creation of user queries accounting with the possibility of its future classification depending on what workstation place it belongs, where is it placed (geographical location), what user role it belongs, and other criteria’s. According to the parameter, classification is been doing automatically as well as manually. Particularly attention is payed to separate stage of queries text parsing which is aided to determine relations and attributes list. SQL-query code parsing task is suggested to solve by using open source project ANTLR. Final analysis that is made based on previously received data allows achieving databases and relations list. This list have to be available on-line and can be ranged by different criteria’s. Some relations need of special attention during making a decision of its placing in remote database. In this case relation projections that are used in different queries need to be considered as well as horizontal division based on range of keys

Authors and Affiliations

M. Dvoretskiy, S. Borovlyova, E. Davydenko

Keywords

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  • EP ID EP225175
  • DOI -
  • Views 110
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How To Cite

M. Dvoretskiy, S. Borovlyova, E. Davydenko (2016). DISTRIBUTED DATABASE STRUCTURE DESIGN BASED ON SQL-QUERY PARSING. Наукові праці. Серія "Комп’ютерні технології", 287(275), 53-61. https://europub.co.uk/articles/-A-225175