Abstract: Bitmap indices are widely used for large read-only repositories in data warehouses and scientific databases. Their binary representation allows for the use of bitwise operations and specialized run-length compression techniques.
We present a framework that optimizes compression and query efficiency by allowing bitmaps to be compressed using variable encoding lengths while still ...
We present a framework that optimizes compression and query efficiency by allowing bitmaps to be compressed using variable encoding lengths while still ...
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The document presents a novel Tunable Compression Framework for Bitmap Indices, which optimizes compression and query efficiency by allowing variable ...
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VAL presented a variable-aligned compression framework, which allows columns of a bitmap to be compressed using different encoding lengths. This flexibility ...
Compressed bitmap indexes are used to speed up simple aggregate queries in databases. ... A tunable compression framework for bitmap indices. Proceedings IEEE.
Without compression, bitmap indexes can be impractically large and slow. Word-Aligned Hybrid (WAH) [3] is a competitive compression technique: compared to LZ77 ...
The technologies used in bitmap index databases are bitmap indexing, bitmap compression, and classification. ... Sawin, A tunable compression framework for bitmap ...
In this work, we introduce a new form of compressed bitmaps called Roaring, which uses packed arrays for compression instead of RLE. We compare it to two high- ...
We propose a framework that captures such metadata for compressed bitmap indices, and applies them to accelerate query processing. This paper makes the ...