Two-dimensional indexing to provide one-integrated-memory view of distributed memory for a massively-parallel search engine

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We propose two-dimensional indexing-a novel in-memory indexing architecture that operates over distributed memory of a massively-parallel search engine. The goal of two-dimensional indexing is to provide a one-integrated-memory view as in a single node system using one large integrated memory. In two-dimensional indexing, we partition the entire index into nx m fragments and distribute them over the memories of multiple nodes in such a way that each fragment is entirely stored in main memory of one node. The proposed architecture is not only scalable as it uses a scaled-out shared-nothing architecture but also is capable of achieving low query response time as it processes queries in main memory. We also propose the concept of the one-memory point, which is the amount of the memory space required to completely store the entire index in main memory providing a one-integrated-memory view. We first prove the effectiveness of two-dimensional indexing with single-keyword queries, and then, extend the notion so as to be able to handle multiple-keyword queries. To handle multiple-keyword queries, we adopt pre-join that materializes a multiple-keyword query a priori as well as a new notion of semi-memory join that obviates extensive communication overhead to perform join across multiple nodes. In experiments using the real-life search query set over a database consisting of 100 million Web documents crawled, we show that two-dimensional indexing can effectively provide a one-integrated-memory view without too much of additional memory compared with the single node system using one large integrated memory. We also show that, with a six-node prototype, in an ideal case, it significantly improves the query processing performance over a disk-based search engine with an equivalent amount of in-memory buffer but without two-dimensional indexing - by up to 535.54 times. This improvement is expected to get larger as the system is scaled-out with a larger number of machines.
Publisher
SPRINGER
Issue Date
2019-11
Language
English
Article Type
Article
Citation

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, v.22, no.6, pp.2437 - 2467

ISSN
1386-145X
DOI
10.1007/s11280-018-0647-1
URI
http://hdl.handle.net/10203/271165
Appears in Collection
CS-Journal Papers(저널논문)
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