NDLI: On brewing fresh espresso: LinkedIn's distributed data serving platform

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On brewing fresh espresso: LinkedIn's distributed data serving platform

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On brewing fresh espresso: LinkedIn's distributed data serving platform

Content Provider	ACM Digital Library
Author	Seeliger, Oliver Schulman, Bob Ip, Wai Pachev, Alexander Sun, Yun Surlaker, Kapil Das, Shirshanka Tran, Cuong Lu, Shi Curtis, Antony Zhang, David Subramaniam, Subbu Brandt, Gregory Qiao, Lin Ramesh, Aditya Gandhi, Mihir Jgadish, Swaroop Sebastian, Abraham Quiggle, Tom Zhang, Zhen Auradar, Aditya Gopalakrishna, Kishore Shanbhag, Rupa Topiwala, Sajid Westerman, Jemiah Beaver, Chris Ghosh, Bhaskar
Abstract	Espresso is a document-oriented distributed data serving platform that has been built to address LinkedIn's requirements for a scalable, performant, source-of-truth primary store. It provides a hierarchical document model, transactional support for modifications to related documents, real-time secondary indexing, on-the-fly schema evolution and provides a timeline consistent change capture stream. This paper describes the motivation and design principles involved in building Espresso, the data model and capabilities exposed to clients, details of the replication and secondary indexing implementation and presents a set of experimental results that characterize the performance of the system along various dimensions. When we set out to build Espresso, we chose to apply best practices in industry, already published works in research and our own internal experience with different consistency models. Along the way, we built a novel generic distributed cluster management framework, a partition-aware change- capture pipeline and a high-performance inverted index implementation.
Starting Page	1135
Ending Page	1146
Page Count	12
File Format	PDF
ISBN	9781450320375
DOI	10.1145/2463676.2465298
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-06-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Distributed key-document store Fault-tolerance
Content Type	Text
Resource Type	Article

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