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]
