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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.
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Thu, Jun 29, 2017 by Ashwin Ramesh
Build a Realtime Recommendation Engine: Part 1
Preface In today's world, user experience is paramount. It's no longer about basic CRUD, just serving user data; it's about mining the data to generate interesting predictions and suggesting actions to the user.
That's the field of recommendations. They're everywhere. In fact, they happen so frequently that you don't even realize them.
You wake up and open Facebook, which shows you a feed of articles that it has chosen for you based on your viewing history.
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Mon, May 29, 2017 by Manish Rai Jain
go get github.com/dgraph-io/dgraph/...
Thank you Go community for all the love that you showered on Badger. Within 8 hours of announcing Badger, the blog post made it to the first page of Hacker News. And within three days, the Github repo received 1250 stars, having crossed 1500 by the time of this post. We have already merged contributions and received feedback that we need to work on.
All this goes to show how much people enjoy Go native libraries.
