NDLI: A relational database schema on the transactional key-value store scalaris

Content Provider	IEEE Xplore Digital Library
Author	Kruber, N. Schintke, F. Berlin, M.
Copyright Year	2014
Abstract	Distributed key-value stores are horizontally scalable by design. However, structured data with links between values may raise hotspots or bottlenecks caused by popular keys and large index objects. These hotspots typically reduce the scalability of the key-value store, especially for operations changing data. Relational database management systems, on the other hand, are designed to handle relational data efficiently, but generally do not scale horizontally in a cost-efficient way. Combining the best of both worlds, would be great. With a wiki as a demonstrator, we map a relational database schema to a distributed transactional key-value store. This includes solutions for typical constraints key-value stores impose on applications due to their limited query expressibility. It also includes the mapping of dependent tables and secondary indices to a single key-value namespace. We evaluate and identify hotspots and bottlenecks and propose improved mappings. We reduce the effects of the most prominent hotspots, i.e. secondary indices, by applying advanced partitioning schemes which both reduce the size of the indices and allow more concurrent write accesses in transactional contexts. These optimisations are generic and help to map relational schemas and corresponding applications to transactional key-value stores in a way to preserve their horizontal scalability. With our data models for key-value stores, we get the best of two worlds for the wiki application: a horizontally scalable database serving a moderately complex relational schema. Our optimisations give up to 96% fewer transaction aborts for data change operations and an up to 25-fold latency improvement for the overall operations mix, i.e. reading, changing, and creating data, compared to the basic mapping, when replaying an access trace of the Wikipedia on our system.
Starting Page	29
Ending Page	37
File Size	1619047
Page Count	9
File Format	PDF
ISBN	9781479956661
DOI	10.1109/BigData.2014.7004441
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scalable data model Electronic publishing Relational schema Scalability Encyclopedias Wikipedia Indexes P2P DHT Key-value store Data models Internet Horizontal scalability
Content Type	Text
Resource Type	Article

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