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From Akhil Das <ak...@sigmoidanalytics.com>
Subject Re: Dynamic visualizations from Spark Streaming output?
Date Wed, 01 Oct 2014 07:04:04 GMT
You can start with the Zeppelin project <http://zeppelin-project.org/>,
they currently has support for SparkContext (not streaming), since the code
is open you can customize it for your usecase. Here's a video of it
https://www.youtube.com/watch?v=_PQbVH_aO5E&feature=youtu.be

Thanks
Best Regards

On Wed, Oct 1, 2014 at 11:57 AM, YaoPau <jonrgregg@gmail.com> wrote:

> Hi - I'm wondering if there's a way to take the continuously updating
> output
> of a Spark Streaming job (for example, counter variables that are
> increasing
> each second) and visualize that in a chart/graph/map that updates
> dynamically as the counters update.  For example, if the visualization is a
> bar chart, the axis labels and title would remain constant, but every
> second
> you'd see larger and larger bars (or changing axis tick mark values).
>
> I thought maybe iPython Notebook could do it but it looks like it only
> supports X second complete refreshes of the visualization so the updates
> are
> choppy.  Anyone know of a better way?
>
> Jon
>
>
>
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