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DATA PARTITIONING METHOD FOR DISTRIBUTED PARALLEL DATABASE SYSTEM

机译:分布式并行数据库系统的数据划分方法

摘要

A data partitioning method for distributed parallel database system includes the following steps: a fact table and a dimension table are established according to the built distributed parallel database system; the records of the dimension table and the fact table are inserted into different nodes according to the partitioning rule; the record of the dimension table is copied into the node of the fact table; and the data deletion and renewing processes are implemented. When partitioning inputting or inserting data set or data flow into the distributed database system, the present invention can satisfy, in each node, the relation between the tables which is defined in the database project, especially the Primary-Foreign Key restriction condition, and provide the data of each node with local maturity. For the query of the connection between tables utilizing the Primary-Foreign Key restriction condition, because the data of each node is provided with local maturity for the type of query so that no dynamic data re-partitioning is need between the nodes, the time consumption for data network transition is avoided, the query response time is reduced, and the query efficiency is increased.
机译:一种分布式并行数据库系统的数据分区方法,包括以下步骤:根据所建立的分布式并行数据库系统建立事实表和维度表。维度表和事实表的记录根据分区规则插入不同的节点;维度表的记录被复制到事实表的节点中;并执行数据删除和更新过程。当将输入数据集或数据流分区或分配到分布式数据库系统中时,本发明可以在每个节点中满足数据库项目中定义的表之间的关系,尤其是主-外键限制条件,并提供具有本地成熟度的每个节点的数据。对于使用主外键限制条件的表之间的连接查询,由于每个节点的数据都具有针对查询类型的本地成熟度,因此节点之间不需要动态数据重新分区,因此耗时避免了数据网络过渡,减少了查询响应时间,提高了查询效率。

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