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 <[email protected]> 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 > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Dynamic-visualizations-from-Spark-Streaming-output-tp15460.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [email protected] > For additional commands, e-mail: [email protected] > >
