Journal ArticleDOI
Cassandra: a decentralized structured storage system
Avinash Lakshman,Prashant Malik +1 more
TLDR
Cassandra is a distributed storage system for managing very large amounts of structured data spread out across many commodity servers, while providing highly available service with no single point of failure.Abstract:
Cassandra is a distributed storage system for managing very large amounts of structured data spread out across many commodity servers, while providing highly available service with no single point of failure. Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different data centers). At this scale, small and large components fail continuously. The way Cassandra manages the persistent state in the face of these failures drives the reliability and scalability of the software systems relying on this service. While in many ways Cassandra resembles a database and shares many design and implementation strategies therewith, Cassandra does not support a full relational data model; instead, it provides clients with a simple data model that supports dynamic control over data layout and format. Cassandra system was designed to run on cheap commodity hardware and handle high write throughput while not sacrificing read efficiency.read more
Citations
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Journal ArticleDOI
MyRocks: LSM-tree database storage engine serving Facebook's social graph
TL;DR: The journey to build and run an OLTP LSMtree SQL database at scale is described and features are discussed to keep pace with UDB workloads, what made migrations easier, and what operational and software development challenges the authors faced during the two years of running MyRocks in production.
Journal ArticleDOI
The Bloom paradox: when not to use a Bloom filter
Ori Rottenstreich,Isaac Keslassy +1 more
TL;DR: The Bloom paradox is uncovered in Bloom Filters: Sometimes, the Bloom Filter is harmful and should not be queried and it depends on the a priori probability that a given element belongs to the represented set.
Journal ArticleDOI
CORFU: A distributed shared log
TL;DR: The CORFU log enabled the construction of a variety of distributed applications that require strong consistency at high speeds, such as databases, transactional key-value stores, replicated state machines, and metadata services.
Proceedings Article
Salt: Combining ACID and BASE in a distributed database (invited talk)
TL;DR: This paper presents Salt, a distributed database that allows developers to improve the performance and scalability of their ACID applications through the incremental adoption of the BASE approach, a new abstraction that encapsulates the workflow of performance-critical transactions.
Proceedings ArticleDOI
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources
TL;DR: Apache Calcite as mentioned in this paper is a framework that provides query processing, optimization, and query language support to many popular open-source data processing systems such as Apache Hive, Apache Storm, Apache Flink, Druid, and MapD.
References
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Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
Proceedings ArticleDOI
Chord: A scalable peer-to-peer lookup service for internet applications
TL;DR: Results from theoretical analysis, simulations, and experiments show that Chord is scalable, with communication cost and the state maintained by each node scaling logarithmically with the number of Chord nodes.
Journal ArticleDOI
The Google file system
TL;DR: This paper presents file system interface extensions designed to support distributed applications, discusses many aspects of the design, and reports measurements from both micro-benchmarks and real world use.
Proceedings Article
Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!).
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert Gruber +8 more
TL;DR: Bigtable as mentioned in this paper is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers, including web indexing, Google Earth and Google Finance.