What Really Grinds My Gears: Apache NiFi

Introduction

Complaining and doing nothing to solve a problem. That’s what everybody does on the Internet. And that’s precisely what I am going to do. Why? Apache NiFi has recently proved to be powerful and effective tool for processing gigabytes of data in our telco integration project. Yet, sometimes I feel like I am just clicking too much to achieve small things. It hurts just like hitting your head against a door frame every time you enter your bedroom. Let’s take a closer look at it.

Navigation

Dividing complex data flows into the process groups is a great way of achieving modularization and reusability, however, navigation between them is rather painful. Imagine set of process groups with nested process groups with nested process groups… Every time I want to go from A->B->C to A->E->F I have to use a well-hidden breadcrumb for A and double click to get into E and F.

What is the problem? At the beginning I couldn’t even find the breadcrumb! I didn’t expect it to be at the very bottom of the screen as it is an untypical location for it. What I did expect however was a big shiny arrow go back. Moreover, having navigated to A->E->F I wanted to go back to A->B->C. As there was no “go forward / redo” button I had to search for components E and F among others which made me sacrifice my precious time.

Why do I need to navigate so much you ask? Well, I am lazy and have rather short memory at the same time. What developing flows means for me is checking what I did yesterday and adjusting it to current problem. Maybe if I had a possibility to open yesterday’s flow in another tab I wouldn’t change those views at all? My internet browser can obviously do that but it has some limits like copy-paste. Similar idea is a screen division. I know it is all difficult to achieve but I would find it a major improvement.

List queue

When I integrate with external data source all I have is documentation and hope for its correctness. In fact this rule applies to every new NiFi processor I try. When something fails I investigate the reason of failure. When everything seems right I ensure that it truly is. In both scenarios I check the first element in the queue.

Again, my expectations are simple. I double click the queue to see what it contains because it is the most interesting feature of a queue: it holds elements. According to my experience 95% of times when I do anything related to a queue I check its first element. Sadly, when double clicking I see a configuration window which comes useful from time to time. Still, in my opinion it is not as important as the content itself.

So how do you see elements of a queue anyway? Just like starting engine with cables: not easy but one can get used to it. Open context menu, select “List queue” and click the “info” button on the very left. Clicking the button is the weirdest step for me. It does not look like a button at all and I discovered its ‘clickability’ only because my friend told me about it.

I am sure there must be faster way to take a quick look at the queue content. I know that the current state is consistent with the processors front-end design but I do not feel a there’s such a strong link between queues and processors. What you typically do with a processor is configuration but what you typically do with a queue is checking the content details.

Error display

NiFi displays error in flows with big red label located in the top right corner of the processor / process group. I have nothing against it. Yet, what does a true programmer do when an error occurs? He or she copies an error message and enters stack overflow :)

And here comes the problem: there is no way to copy an error from NiFi GUI. My workaround is to open logs. Usually, it takes ages. Sometimes it is even impossible. As a software vendor company we struggle with the limited access to hosts and services on everyday basis. Just let me copy my own errors and i will do my job. Trust me I’m an engineer.

Surprisingly in the review my colleague noted that I can actually copy errors from Bulletin board located in the main settings menu. However, I find it a bit dissapointing as the messages are incomplete and the menu itself is hidden deeply.

Templates

Exporting templates from one NiFi instance to another is another unintuitive feature. What I expect is to right click on a process group and choose export option. What I get is a sequence of actions:

  1. Create template
  2. Open “templates” from the main settings menu in a top-right corner
  3. Choose a very small “download” button that doesn’t look like a download button

I do not understand why I can’t export a process group which is not a template. Of course it has to be imported as a template but exporting seems to be just an on demand XML generation. What are the benefits of such dependency?

Summary

I hope that this post will not be taken as offensive by any means. As a programmer I know how difficult it is to design beautiful, functional and consistent frontend even for very simple application. Therefore, I would like to think about this case study as a guidance for everyone who designs UX. Ask your users about their habits, analyse how the application is used. Automating your client’s job will bring you tons of respect.

And what is your experience with NiFi GUI? I think it looks pretty good but still may be more functional and convenient. I hope it will be soon.

Finally I would like to thanks Michał Hofman and Bartłomiej Tartanus for the review.

You May Also Like

Sample for lift-ng: Micro-burn 1.0.0 released

During a last few evenings in my free time I've worked on mini-application called micro-burn. The idea of it appear from work with Agile Jira in our commercial project. This is a great tool for agile projects management. It has inline tasks edition, drag & drop board, reports and many more, but it also have a few drawbacks that turn down our team motivation.

Motivation

From time to time our sprints scope is changing. It is not a big deal because we are trying to be agile :-) but Jira's burndowchart in this situation draw a peek. Because in fact that chart shows scope changes not a real burndown. It means, that chart cannot break down an x-axis if we really do more than we were planned – it always stop on at most zero.

Also for better progress monitoring we've started to split our user stories to technical tasks and estimating them. Original burndowchart doesn't show points from technical tasks. I can find motivation of this – user story almost finished isn't finished at all until user can use it. But in the other hand, if we know which tasks is problematic we can do some teamwork to move it on.

So I realize that it is a good opportunity to try some new approaches and tools.

Tools

I've started with lift framework. In the World of Single Page Applications, this framework has more than simple interface for serving REST services. It comes with awesome Comet support. Comet is a replacement for WebSockets that run on all browsers. It supports long polling and transparent fallback to short polling if limit of client connections exceed. In backend you can handle pushes in CometActor. For further reading take a look at Roundtrip promises

But lift framework is also a kind of framework of frameworks. You can handle own abstraction of CometActors and push to client javascript that shorten up your way from server to client. So it was the trigger for author of lift-ng to make a lift with Angular integration that is build on top of lift. It provides AngularActors from which you can emit/broadcast events to scope of controller. NgModelBinders that synchronize your backend model with client scope in a few lines! I've used them to send project state (all sprints and thier details) to client and notify him about scrum board changes. My actor doing all of this hard work looks pretty small:

Lift-ng also provides factories for creating of Angular services. Services could respond with futures that are transformed to Angular promises in-fly. This is all what was need to serve sprint history:

And on the client side - use of service:


In my opinion this two frameworks gives a huge boost in developing of web applications. You have the power of strongly typing with Scala, you can design your domain on Actors and all of this with simplicity of node.js – lack of json trasforming boilerplate and dynamic application reload.

DDD + Event Sourcing

I've also tried a few fresh approaches to DDD. I've organize domain objects in actors. There are SprintActors with encapsulate sprint aggregate root. Task changes are stored as events which are computed as a difference between two boards states. When it should be provided a history of sprint, next board states are computed from initial state and sequence of events. So I realize that the best way to keep this kind of event sourcing approach tested is to make random tests. This is a test doing random changes at board, calculating events and checking if initial state + events is equals to previously created state:



First look

Screenshot of first version:


If you want to look at this closer, check the source code or download ready to run fatjar on github.During a last few evenings in my free time I've worked on mini-application called micro-burn. The idea of it appear from work with Agile Jira in our commercial project. This is a great tool for agile projects management. It has inline tasks edition, drag & drop board, reports and many more, but it also have a few drawbacks that turn down our team motivation.

[:en] Operational problems with Zookeeper

This post is a summary of what has been presented by Kathleen Ting on StrangeLoop conference. You can watch the original here: http://www.infoq.com/presentations/Misconfiguration-ZooKeeper I've decided to put this selection here for quick reference. ...This post is a summary of what has been presented by Kathleen Ting on StrangeLoop conference. You can watch the original here: http://www.infoq.com/presentations/Misconfiguration-ZooKeeper I've decided to put this selection here for quick reference. ...