An overview of DB2 parallel edition

Author:

Baru Chaitanya1,Fecteau Gilles1

Affiliation:

1. IBM SWSD, Toronto

Abstract

In this paper, we describe the architecture and features of DB2 Parallel Edition (PE). DB2 PE belongs to the IBM family of open DB2 client/server database products including DB2/6000, DB2/2, DB2 for HP-UX, and DB2 for the Solaris Operating Environment. DB2 PE employs a shared nothing architecture in which the database system consists of a set of independent logical database nodes. Each logical node represents a collection of system resources including, processes, main memory, disk storage, and communications, managed by an independent database manager. The logical nodes use message passing to exchange data with each other. Tables are partitioned across nodes using a hash partitioning strategy. The cost-based parallel query optimizer takes table partitioning information into account when generating parallel plans for execution by the runtime system. A DB2 PE system can be configured to contain one or more logical nodes per physical processor. For example, the system can be configured to implement one node per processor in a shared-nothing, MPP system or multiple nodes in a symmetric multiprocessor (SMP) system. This paper provides an overview of the storage model, query optimization, runtime system, utilities, and performance of DB2 Parallel Edition.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Parallel Query Optimization;Encyclopedia of Database Systems;2018

2. Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics;IEEE Transactions on Parallel and Distributed Systems;2017-06-01

3. Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics;2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid);2016-05

4. Big Data Management in the Cloud: Evolution or Crossroad?;Communications in Computer and Information Science;2016

5. Parallel Query Optimization;Encyclopedia of Database Systems;2016

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