I am a rookie both in Neo4j and javascript.
I found out that the javascript Neovis.js can be used with a Neo4j database to render a visualization for queries. This is an excellent tool to develop and embed web applications using Neo4j. However, I soon realized that this has the potential to screw up the entire database since those queries can both read and write the database.
How do we avoid writing into the database when using Neovis.js?
Either don't allow any queries with the CREATE, MERGE, SET in your application to be executed or if you have an enterprise version create a read-only user.
Related
I know this is a "generic" question, but please read it before judging:
I try to create a vuejs fullstack application that i can build and run with a single command. I use the vue-cli to create and build a project. Included is express and node (works fine). But I cannot figure out how to add database functionality to it. I thought mongodb and mongoose would fit, until I learned that I need a separate mongodb server running instead of getting it embedded within my build.
Is this even possible? I mean, android apps ship with SQLite that every app can use. Where do I need to research to get this job done? Google tells me to use mongoose, but it is not embedded as it seems.
As requested, as an answer:
Databases are usually part of the back-end (in this case nodejs). There's plenty of choices for embedable databases, the most popular one is SQLite.
It can be used either purely "in memory" or with persistence in the form of "database files". More information how to use it in node can be found in the node-sqlite3 documentation
The neo4j browser, which can be accessed through http://neo4j:7474 (where neo4j is the neo4j host), is really great in visualising query results.
As I understand, a javascript library is responsible for talking to the database backend at bolt://localhost:7687 as well as for rendering the results.
How can this javascript library be used to display query results in an embedded manner in our main web application?
The web application should be responsible for composing the cypher query.
I would prefer if the web application backend would be responsible to GET the result from the database backend and pass the result to the javascript library for security reasons.
The javascript library should be responsible for rendering the result into a given <div></div>.
The user should be able to drag the nodes around, but not be able to manipulate data or send other queries through the ui. Thus, only the red-boxed result area should be visible.
This is not possible since Neo4j Browser is not designed to work as an embedded graph visualization tool.
However, you can use a graph visualization library to embed the graph visualization into your web application. Some examples of JavaScript graph visualization libraries:
D3.js
VivaGraphJS
Sigma
KeyLines
Alchemy.js
Alternatively, since Neo4j Browser is an Open-source tool you can checkout the project and modify it to achieve your goal.
According to the Neo4j documentation on visualization tools, there are 3 categories of visualization tools:
Embeddable tools with built-in Neo4j connections
Embeddable libraries without direct Neo4j connection
Standalone product tools
It sounds like you are looking for the first option. And under this, there is:
1. Neovis.js - https://medium.com/neo4j/graph-visualization-with-neo4j-using-neovis-js-a2ecaaa7c379
2. Popoto.js - http://www.popotojs.com
I recommend checking out Popoto for both ease of integration and best visualizations.
Reference: https://neo4j.com/developer/tools-graph-visualization/
I am looking for either an existing framework or software that would allow us to summarize our large MySQL database and allow us to present the information in the form of charts or tables.
I have looked online and found a few that are standalone web services, however for our purposes we would need it to be embedded without our existing web app and able to run either on the front end or on our server.
we would also be able to make use of any existing framework(c#) for data aggregation as we could implement them in c# on our server and display the information using JavaScript. We are trying to avoid implementing our own version due to time constraints so any pre-made method would be preferable.
I know this is a fairly vague question but we are just looking for some suggestions as the topic of web based data analysis doesn't seem to return many useful options for us.
I'm about to start writing an application and I want to include newer technologies to improve my knowledge and gain a skill set.
I'm using mysql to store user data (no choice), Angular.js to display/template content on the dom, and I wanted to use node.js to return results from the database in json format to be used by Angular.js.
My assumption was I could use node.js (along with the node-mysql module and maybe express)to accomplish my database queries that feed into my Angular.js templates.
Additionally, the application will live on a different server than the database itself and may reside in a mobile framework.
Am I way off base when it come to how to use node.js? Am I just using the wrong tool? Am I on the right track?
Any help, explanation, and points in the right direction would be great. Most of the info I've seen are copy/paste from the node.js site/wiki and don't really answer my question.
This is largely an opinion-based question and likely to be closed, but you're not way off base. What you want to do is absolutely (and commonly) done using Node.js.
As a complete aside, you might like to check out Platform-as-a-Service providers such as Heroku.com and Nodejitsu.com; both offer great and easy Node.js hosting and addons (such as NoSQL and RDBMS data stores) which have free tiers.
For that matter, MongoLab and MongoHQ both offer free tiers independent of Heroku, which you could use from your MySQL-only hosting provider if you like.
I need to develop an in-house real-time event analytics solution for our web application (e.g: mixpanel, chartbeat, kissmetrics like tool). We mainly use ruby on rails, Redis, MySql and JavaScript.
The analytics solution must have an API and must be real-time. I've never done any API nor worked with real-time data.
What technologies should I use in order to accomplish my goal?
I've done this kind of project earlier.
For the graphs I'd recommend Google Visualization API
For storage I would recommend a Round Robin scheme. There is a Round Robin database engine called RRDtool, but you can also implement a Task (or table partition) in your MySQL database that would speed queries once the stored data gets too big to be queried fast enough, by deleting (or separating) old data.