Author: | Feng, Ziqiang |
Title: | ByteSlice : pushing the envelop of main memory data processing with a new storage layout |
Advisors: | Lo, Eric (COMP) |
Degree: | M.Phil. |
Year: | 2016 |
Subject: | Memory management (Computer science) Database management. Hong Kong Polytechnic University -- Dissertations |
Department: | Department of Computing |
Pages: | xiv, 66 pages : illustrations |
Language: | English |
Abstract: | Scan and lookup are two core operations in main memory column stores. A scan operation scans a column and returns a result bit vector that indicates which records satisfy a filter. Once a column scan is completed, the result bit vector is converted into a list of record numbers, which is then used to look up values from other columns of interest for a query. Recently there are several in-memory data layout proposals that aim to improve the performance of in-memory data processing. However, these solutions all stand at either end of a trade-off each is either good in lookup performance or good in scan performance, but not both. This thesis presents ByteSlice, a new main memory storage layout that supports both highly efficient scans and lookups. ByteSlice is a byte-level columnar layout that fully leverages SIMD data-parallelism. Micro-benchmark experiments show that ByteSlice achieves a data scan speed at less than 0.5 processor cycle per column value a new limit of main memory data scan, without sacrificing lookup performance. Experiments on TPC-H data and real data show that ByteSlice offers significant performance improvement over all state-of-the-art approaches. |
Rights: | All rights reserved |
Access: | open access |
Files in This Item:
File | Description | Size | Format | |
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b28945402.pdf | For All Users | 2.29 MB | Adobe PDF | View/Open |
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