The parallel database system (PDS) owns high performance and high availability and is suitable for mass data storing and processing. However, data loading performance is a bottleneck in PDS. To improve the data loadin...
详细信息
ISBN:
(纸本)9781467318556;9781467318570
The parallel database system (PDS) owns high performance and high availability and is suitable for mass data storing and processing. However, data loading performance is a bottleneck in PDS. To improve the data loading performance, this paper proposes an optimized load algorithm based on cloud platform which can promote the speed of load process. The paper gives the algorithm description, elaborates the algorithm implementation process through an example, and discusses the correctness of the algorithm at last.
The parallel database system （PDS） owns high performance and high availability and is suitable for mass data storing and processing. However, data loading performance is a bottleneck in PDS. To improve the data load...
详细信息
The parallel database system （PDS） owns high performance and high availability and is suitable for mass data storing and processing. However, data loading performance is a bottleneck in PDS. To improve the data loading performance, this paper proposes an optimized load algorithm based on cloud platform which can promote the speed of load process. The paper gives the algorithm description, elaborates the algorithm implementation process through an example, and discusses the correctness of the algorithm at last.
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