Order Preserving Key Compression

نویسندگان

  • Gennady Antoshenkov
  • David Lomet
  • James Murray
چکیده

Order preserving data compression can improve sorting and searching performance, and hence the performance of database systems. We describe a new parsing (tokenization) technique that can be effectively applied to "keys", producing substantial compression. It can be applied to both the uncompressed and compressed strings, permiting a more flexible choice of variable length dictionary entries and their compressed forms. The key notion is that the way that entries partition the space of strings determines how the entries are to be parsed. The result is economy in the number of encodings that are needed in order to preserve order and great flexibility in how they are encoded. We illustrate one use of order preserving compression, padding character compression for multifield keys. This demonstrates the dramatic gains possible with the new technique, some of which cannot be achieved by any other method.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Contourlet Based Lossy Image Coder with Edge Preserving

In this paper we present a lossy image coder based in multiscale and directional contourlet transform which allows edge preserving in decompressed images. The preserving task is made by capture the edge points of an image using a robust and efficient edge detector known as Smallest Univalue Segment Assimilating Nucleus (SUSAN). The resulting edges coordinates are used as a priori knowledge of t...

متن کامل

An Edge-Preserving Image Coding System with Vector Quantization

Image coding with vector quantization (VQ) reveals several defects which include edge degradation and high encoding complexity. This paper presents an edge-preserving coding system based on VQ to overcome these defects. A signal processing unit first classifies image blocks into low-activity or high-activity class. A high-activity block is then decomposed into a smoothing factor, a bit-plane an...

متن کامل

Structure-preserving properties of bilevel image compression

We discuss a new approach for lossy compression of bilevel images based on Markov random fields (MRFs). The goal is to preserve key structural information about the image, and then reconstruct the smoothest image that is consistent with this information. The image is compressed by losslessly coding the pixels in a square grid of lines and adding bits when needed to preserve structural informati...

متن کامل

Polar Decomposition of Order Bounded Disjointness Preserving Operators

We constructively prove (i.e., in ZF set theory) a decomposition theorem for certain order bounded disjointness preserving operators between any two Riesz spaces, real or complex, in terms of the absolute value of another order bounded disjointness preserving operator. In this way, we constructively generalize results by Abramovich, Arensen and Kitover (1992), Grobler and Huijsmans (1997), Hart...

متن کامل

Side-Match Finite-State Vector Quantization with Adaptive Block Classification for Image Compression

In this article, an efficient vector quantization (VQ) scheme called side-match finite-state vector quantization with adaptive block classification is presented for image compression. It makes use of edge information contained in image in additional to the average values of blocks forming the image. In order to achieve low bit rate coding while preserving good quality images, neighboring blocks...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003