1 / 10

Efficient Distributed Query Processing with Partitioned Inverted Files and Global Indexing Techniques

This workshop paper by Claudine Badue discusses innovative strategies for distributed query processing using partitioned inverted files (Local Index - LI) and lexicographical global indices (Global Index - LGI). The paper examines the architecture of various index layouts, focusing on their impact on search costs. It explores trade-offs in efficiency and cost-effectiveness, providing insights into how different indexing strategies can optimize query processing in distributed systems. Through an extensive comparative analysis, this research aims to enhance performance in query execution frameworks.

infinity
Télécharger la présentation

Efficient Distributed Query Processing with Partitioned Inverted Files and Global Indexing Techniques

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Claudine Badue April 08, 2003 Workshop SIAM Distributed Query Processing Using Partitioned Inverted Files

  2. Local Index (LI) and Lexicographical Global Index (LGI) Documents Documents 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 A A x x x x x x . . . . . . P1 C C x x x x x x x x D D x x x x x x x x Te rms Te rms . . . . . . P2 G G x x x x x x x x x x x x x x x x H H . . . . . . P3 N N x x x x x x x x x x x x x x O O . . . . . . P4 Z Z x x x x x x x x P1 P2 P3 P4 • LI • LGI

  3. Random Global Index (RGI) Documents A x x x 1 2 3 4 5 6 7 8 . . . C x x x x P1 D x x x x Te rms . . . G x x x x P2 H x x x x . . . N x x x P3 x x x x O . . . Z x x x x P4

  4. Network of Workstations Model Network Switch Memory 1 Memory 2 Memory 3 Memory p Processor 1 Processor 2 Processor 3 Processor p Disk 3 Disk p Disk 1 Disk 2 . . . . . .

  5. Client-Server Paradigm Client 1 Client 2 Client 3 Client c Proc 1 Proc r Proc 1 Proc 2 Proc d . . . Ranking Server . . . I/O Server . . .

  6. Query Processing (LI) Processor 1 Processor 2 Processor 3 Processor 4 d1, d3, d7, d5, d8, d2 a, b, c Ranking Server a, b, c a, b, c a, b, c a, b, c d1, d2 d3 d5 d7, d8

  7. Query Processing (LGI) Processor 1 Processor 2 Processor 3 Processor 4 aaa, d, f d8, d2, d1, d3 a d5, d1, d3 aa, b, c Ranking Server aaa a aa b, c d, f d8, d2 d1, d2, d8, d3 d2, d5, d6 d5, d1,d3

  8. Query Processing (RGI) Processor 1 Processor 2 Processor 3 Processor 4 aaa, d, f d8, d1, d3, d2 a d5, d1, d3 aa, b, c d2, d5, d6 Ranking Server d, f aaa b, c aa a d8, d2 d5, d1,d3 d2 d1, d2, d8, d3 d2, d5, d6

  9. Comparison of strategies

  10. Issues to Explore • Identify and explore the tradeoffs of the distinct index layouts on disk • Identify the most cost effective layouts • Evaluate how the architecture of the system impact the final searching costs

More Related