CopperEye indexing is a general-purpose data indexing technology that claims to out-perform conventional indexing techniques. This paper discusses the reasons behind the superior performance of this technology over alternative methods.
Indexes are used in database and data storage/retrieval applications to enable fast access to stored data. Without indexes, applications are forced to scan entire data sets to find the required data. But while indexes speed up data retrieval, they incur a significant overhead during data set updates, and a compromise must often be struck between data retrieval performance and data loading performance. Indexes can be categorised according to the data types they handle. For example, an index may be used for accessing general-purpose scalar data, such as text, number and date information. Alternatively, an index may be designed for handling structured data formats such as spatial or media data. However, the vast majority of data held in commercial database systems is of a scalar type and scalar indexes are predominant across all industries.
Indexes can also be categorised according to the resources for which they are optimised--memory or disk. For example, an index may reside entirely in memory and/or may access entirely memory resident data. Such an index aims to minimise its memory footprint and CPU usage, whereas a disk-resident index focuses on reducing its disk access, since disks offer a slow medium for data access. Memory based indexes restrict both database growth and tolerance of system failure. Therefore, most commercial databases use disk resident indexes to provide sufficient database size and security.
The CopperEye technology is a general-purpose scalar disk-optimised index suited to the majority of data stored in commercial systems. For both brevity and clarity, specialist multi-dimensional data indexes and memory-optimised indexes will not be considered any further in this paper. Throughout this paper, reference is often made to relational databases because the reader is likely to be familiar with them However, the CopperEye technology is not specific to relational databases and can apply to any data storage paradigm, such as object-oriented databases, XML databases or flat file systems.
Few radical innovations in disk-optimised scalar indexing have occurred over recent decades. Commercial database vendors have concentrated on improving performance through hardware scalability...