Database Reference
In-Depth Information
Chapter 6
Accelerating Queries on Very
Large Datasets
Ekow Otoo and Kesheng Wu
Lawrence Berkeley National Laboratory
Contents
6.1
Introduction
..........................................................
184
6.2
Characteristics of Scientific Data
....................................
185
6.3
A Taxonomy of Index Methods
......................................
189
6.4
Single-Attribute Index Schemes
.....................................
193
6.4.1
Sequential Scan Access
.......................................
193
6.4.2
Tree-Structured Indexing
.....................................
194
6.4.3
Hashing Schemes
..............................................
196
6.5
Multidimensional Index Schemes
....................................
196
6.5.1
Multidimensional Tree-Structured Indexing Methods
........
200
6.5.1.1
K-D-Tree and LSD-Tree
.............................
200
6.5.1.2
R-Tree and Its Variants
..............................
200
6.5.2
Multidimensional Direct Access Methods
....................
203
....................................
6.5.3
Hybrid Indexing Methods
203
..........
6.5.3.1
Quaternary/Hierarchical Triangular Mesh
205
6.5.4
Simple Scanned Access of Multidimensional Datasets
.......
207
6.6
Bitmap Index
........................................................
208
6.6.1
The Basic Bitmap Index
......................................
209
6.6.2
Compression
..................................................
210
6.6.3
Bitmap Encoding
.............................................
213
6.6.4
Binning
........................................................
215
6.6.5
Implementations
..............................................
217
6.7
Data Organization and Parallelization
..............................
218
6.7.1
Data Processing Systems
.....................................
219
6.7.1.1
Column-Based Systems
..............................
219
6.7.1.2
Special-Purpose Data Analysis Systems
.............
219
6.7.1.3
MapReduce Parallel Analysis System
...............
220
6.7.1.4
Custom Data Processing Hardware
.................
221
183
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