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Database Weekly
Issue 139 — January 27, 2017
Featured
Learn Redis The Hard Way (in Production) — How a popular hotel comparison site uses Redis heavily in production, including where things didn’t work as expected.
Trivago    tutorial   
Scuba: Diving into Data at Facebook [PDF] — A paper describing a commonly used system at Facebook for doing live, real-time analysis on terabytes of data. Related Hacker News discussion.
Facebook
Peloton: The Self-Driving Database Management System — An in-memory, DRAM/NVM optimized, relational database management system designed with autonomous operation and optimization in mind.
Carnegie Mellon University Database Group    tools   
[eBook] The Essential Guide to Queuing Theory — Queueing theory rules everything around you - Whether you’re an entrepreneur, engineer, or manager, queueing theory is one of the best ways to boost performance. This 30-page ebook demystifies the subject without requiring pages full of equations.
VividCortex    sponsored   
JanusGraph: An Open-Source, Distributed Graph Database — A highly scalable transactional graph database optimized for storing and querying large graphs with billions of vertices and edges distributed across a multi-machine cluster.
JanusGraph    tools   
The Probability of Data Loss in Large Clusters — Many distributed storage systems (e.g. Cassandra, Riak, HDFS, MongoDB,) can use replication to make data durable, but how does this affect the odds of data loss?
Martin Kleppmann    story   
1.1 Billion Taxi Rides on kdb+/q & 4 Xeon Phi CPUs — Q is a programming language with a built-in, column-oriented, in-memory and on-disk database called kdb+ that includes and extends SQL. Here’s a practical look at using it.
Mark Litwintschik    tutorial   
The Internals of PostgreSQL — Suzuki Hironobu covers the internals of PostgreSQL for database administrators and system developers in this helpful translation of his 2012 Japanese-language book.
Suzuki Hironobu    story   
GryadkaJS: A Paxos-Based Replicated Key/Value Layer On Top of Redis — Gryadka is a minimalistic Paxos-based master-master replicated consistent key/value layer on top of multiple instances of Redis.
Denis Rystsov    tools   
MySQL and Snap Packaging — A look at using ‘snaps’ (a new way of packaging apps for distribution on Linux) to distribute MySQL.
Yngve Svendsen
In brief
JanusGraph Picks Up Where TitanDB Left Off — JanusGraph is a new Linux Foundation project formed to continue development of the TitanDB graph database.
Alex Woodie    news   
InfluxDB 1.2 Released — ..with subqueries and 50% better write throughput on larger hardware.
Paul Dix    news   
PostgreSQL Compatibility for Amazon Aurora Now Available (in Preview)
Amazon Web Services    news   
Put your DB into overdrive on Linode’s SSD servers. — Whatever your preferred DB, get better performance by loading it on Linode. Use promo code DB20 for $20 credit.
linode    sponsored   
Execute Millions of SQL Statements in Milliseconds in the Browser with WebAssembly and Web Workers
Mike Parsons    tutorial   
Providing Least Privileged Data Access in MongoDB — Read-only views (ROV) are a similar concept to table views found in relational databases.
MongoDB    tutorial   
Secure MongoDB and Protect Yourself from the Ransom Hack — Advice on how to protect yourself from MongoDB ransomware.
Severalnines    tutorial   
Achieving 100,000,000 Database Inserts Per Second using Accumulo and D4M [PDF]
Kepner, Arcand, et al.​    story   
Running Production PostgreSQL Systems on ARM Architecture — A whitepaper exploring if PostgreSQL on ARM is a viable option for your next project.
Kaarel Moppel    opinion   
Designing the UFC Moneyball using multiple databases — Gigi Sayfan from VRVIU shows us how analytics for sports can be done using Cassandra/Scylla, MySQL, and Redis.
Compose    story    sponsored   
A Curated Guide to the Best Tools and Resources for Data Visualization
dataviz.​tools    tools   
HikariCP: A Solid High-performance JDBC Connection Pool — Can support 10,000 simultaneous users.
Brett Wooldridge    code   
Drizzle: Fast and Adaptable Stream Processing at Scale [PDF]
Venkataraman, Panda, et al.​
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