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Mon, Oct 2, 2017 by Jason Chu
Learn the basics of GraphQL+-, now available on video
Dgraph has its own custom query language based on GraphQL, called GraphQL+-. You can learn about the basics of GraphQL+- in our latest screencast that introduces you to writing queries in it, which can be found right below. The screencast will explore the content in the interactive tour it compliments, but in further depth. You can also subscribe to our YouTube channel if you would like to be posted when we release new videos.
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Wed, Sep 20, 2017 by Deepak Jois
Badger vs LMDB vs BoltDB: Benchmarking key-value databases in Go
If you have been following us, you may know that we released Badger a few months ago. Badger is a simple, efficient, and persistent key-value store, written in a hipster language. Even though it is not at v1.0 yet, we have already received a great response from the community. As of writing, Badger has 2350 stars on Github, and there have been lots of discussions online since the release announcement.
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Mon, Aug 14, 2017 by Peter Stace
Making Badger Crash Resilient with ALICE
Crashes can occur for many different reasons and can manifest themselves in many different forms. A program can experience a segfault or uncaught exception. If it’s running on Linux, a kernel panic could occur. If on Windows, a STOP error could occur, displaying the infamous BSOD. Even then, crashes aren’t the only thing you have to worry about. The UPS could fail (or be absent), or the power could go out.
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Tue, Aug 8, 2017 by Manish Rai Jain
Scale the shit out of this!
Starting v0.8, we have aimed to focus purely on the stability and performance of Dgraph. Our feature set is at this point good enough for most users – so we’ve decided to freeze it until we reach v1.0.
Part of ensuring stability and performance led us to try and load the entire Stack Overflow on Dgraph; around 2 billion edges. With full-text search, reverses and other indices, this jumps between 6-8 billion edges; which poses unique challenges.
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Wed, Aug 2, 2017 by Sung Won Cho
Building a Stack Overflow Clone with Dgraph, and React
I have recently built a Stack Overflow clone with Dgraph and React. I was delightfully surprised by the pleasant developer experience and the performance of my application. In this post, I would like to tell the story of how I built Graphoverflow and share the best practices I learned for using Dgraph to build a modern web application.
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Wed, Jul 19, 2017 by Manish Rai Jain
Orchestrating signal and wait in Go
One of the common use case in Go is to start a few goroutines to do some
work. These goroutines block listening in on a channel, waiting for more work to
arrive. At some point, you want to signal these goroutines to stop accepting
more work and exit, so you can cleanly shut down the program.
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Mon, Jul 17, 2017 by Manish Rai Jain
Running Stack Overflow on Dgraph
We have been taught, conditioned, trained to use SQL all our lives as engineers. It was there in schools, there when we went to college. It was being used at the company that we joined. It was such a common interview question that it no longer is. We don’t have just one, but an array of SQL databases to choose from. MySQL was released 22 years ago, in 1995 (youngest engineer at Dgraph was born the same year).
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Fri, Jun 30, 2017 by Ashwin Ramesh
Build a Realtime Recommendation Engine: Part 2
This is part 2 of a two-part series on recommendations using Dgraph. Check our part 1 here.
In the last post, we looked at how many applications and web apps no longer present static data, but rather generate interesting recommendations to users. There’s a whole field of theory and practice in recommendation engines that we touched on, talking about content-based (based on properties of objects) and collaborative (based on similar users) filtering techniques based on a chapter from Stanford MOOC Minning Massive Datasets.
