Tag Archives: graph databases

Work Order Management with Neo4j

I look terrible in a bikini (take my word for it) but I’d love me a Lamborghini. However, in order to afford nice things, we need to do as the song says and get to work…and we need to manage and prioritize that work somehow. Today, I’m going to show you how to build part of a work order management system with Neo4j.

I’m going to build an evented work order model. So let’s say our Order gets created, then based on what it is, pieces of Work need to happen. This work is performed by some Provider (whether internal or external) and that work can be broken down into Tasks that have dependencies on Events that have occurred. How would this look like in the graph? Glad you asked:
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Using a Cuckoo Filter for Unique Relationships

We often see a pattern in Neo4j applications where a user wants to create one and only one relationship between two nodes. For example a User follows another User on a social network. We don’t want to accidentally create a second follows relationship because that may create errors such as duplicate entries on their feed, or errors unfollowing or blocking them, or even skew recommendation algorithms. Also it is just plain wasteful, and while an occasional duplicate relationship won’t be a big deal, millions of them could.

So how do we deal with this?
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Building a Twitter Clone with Neo4j – Part Eight

In our last post we started the front end of our Twitter Clone application and managed to register and login a user. Now we need to build the actual functionality of our application. We’re going to need a screen to display the timeline of the logged in user. A screen to display a single users posts, and a screen to display the followers of a user and the users being followed. All of these should fit within the same main template, so maybe we can start with that.

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Building a Twitter Clone with Neo4j – Part Six

We are getting close to wrapping up the back-end API for our Twitter clone, so thank you for sticking with this awfully long series since the beginning. One of the big community features of Twitter is the Trending Hashtags. It lets users know what is being talked about even if the people a user follows aren’t talking about it. It’s kind of weird in that way since part of the point of Twitter is following just a few hundred or thousand people to reduce the noise, and here we are bringing noise back in to our feed. Regardless, this is actually pretty easy to implement, so let’s have a crack at it.
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Building a Twitter Clone with Neo4j – Part Five

In part four, we continued cloning Twitter by adding hashtag and mentions functionality. Then we went beyond it by adding the ability to edit a post. So we have a social network where people can follow each other and post stuff. Today we’re adding the ability to say a user likes a post, reposts a post and the most important query of all, being finally able to see our feed or timeline.
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Building a Twitter Clone with Neo4j – Part Four

We left off last time having just added the ability to follow people, see who we’ve followed and has followed us, block and unblock people and finally see whom we have put on our naughty list of blocked users. So we have a social network where people can create relationships, but they have nothing to say because we haven’t implemented that yet!
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Building a Twitter Clone with Neo4j – Part Three

In part two we defined our API and got registering a user, checking a user and getting a user profile. A social network of unconnected people doesn’t live up to its name, so let’s go ahead and build the ability to follow people.

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Searching for objects using multiple dimensions

Lets take a look at a scenario where you are trying to search for things by their attributes, not their description. They can be users, documents, or any object that could be described by discrete values in multiple dimensions. What does that mean exactly? Well, let me give you an example: searching for a dog. My family includes 2 four legged furry creatures named Tyler and Ronnie. They are my half lab, half golden retrievers. Dogs come in all shapes and sizes, from teacup breeds with adult weights around 5 lbs, to giant Mastiff breeds over 150 lbs. But most people don’t care exactly how much a dog weights, only their general size.


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Neo4j is faster than MySQL in performing recursive query

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A user on StackOverflow was wondering about the performance between Neo4j and MySQL for performing a recursive query. They started with Neo4j performing the query in 240 seconds. Then an optimized cypher query got them down to 40 seconds. Then I got them down to…
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Writing a Cypher Stored Procedure

luke-cage-jidenna

I’ve been so busy these last 6 months I just finally got around to watching Luke Cage on Netflix. The season 1 episode 5 intro is Jidenna performing “Long live the Chief” and it made me pause the series while I figured out who that was. I’m mostly a hard rock and heavy metal guy, but I do appreciate great pieces of lyrical work and this song made me take notice. Coincidently on the Neo4j Users Slack (get an invite) @sleo asked…
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