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Performance issue with live updates #699
Description
Dear all,
I have noticed a performance limitation of the updated graphs when I try to implement the live updates (https://dash.plot.ly/live-updates) tutorial.
I implemented the tutorial example without changes and it works as expected, however I noticed that if I increase the number of data points the traces on the dashboard cease to display (axis is rendered but no lines/markers are visible) when the number of points is greater than approximately 2000 (I used trial and error to find values that worked).
I tried changing the figure ‘type’ parameter to ‘scattergl’, but this was ineffective. This behaviour is observed in Chrome, Firefox and internet explorer.
If I increase the update interval time to e.g 5 seconds, I can plot 10,000 data points, but this is not very satisfactory as I am trying to base my own application on this approach but I need to plot e.g 24 hours worth of data at 1 second intervals, refreshing the graph with new data every 1-2 seconds.
Is this performance limitation expected and is there a way to improve this performance?
Activity
shengqiangzhang commentedon May 3, 2019
@Neil-Bennett
I haved the same problem.It seems that there is no other choice unless increasing the intervals time when you increase the number of data points.
petebachant commentedon Aug 30, 2019
I'm getting a similar issue with an app using a 5 second interval. Strangely, the app works fine on Linux, but sometimes I never get a single update on Windows. Sometimes I'll get a "max call stack exceeded" error from the JS as well.
jingw222 commentedon Mar 11, 2020
Same problem here. I wonder how well the JS library handle this sort of task.
Update CSS for DatePickerRange vertical arrows. (plotly#699)
Replace all instances of plot.ly with plotly.com. (plotly#699)
Update CSS for DatePickerRange vertical arrows. (#699)
Replace all instances of plot.ly with plotly.com. (#699)