On Jun 9, 2018, at 12:27, Swaraj Oturkar <swarajoturkar1995@gmail.com> wrote:
Hello, I fixed it. It was a problem with ghost renderers which for some reason were getting accumulated in the figure. Basically, the statement fig.line(x=x,y=y,source = cds) was causing renderers to get accumulated in the figure with every callback. I replaced the statement with glph = fig.line(x = list(), y = list()) and removed the cds altogether. Then I kept appending glph to a list. Then I cleared the glyphs every minute with the fig.renderers.remove(glyph for glyph in glyphs). Ofcourse, I did not remove all of them. I kept the last couple of glyphs. This prevented the plotting time increase with every iteration.
I may be completely wrong in my understanding but I worked.
On Friday, June 8, 2018 at 6:54:59 PM UTC+2, Bryan Van de ven wrote:
Hi,
It's possibly a bug, but in any case it would require investigation to figure out, which means running actual code. Can you provide a complete minimal script to reproduce the issue?
Thanks,
Bryan
> On Jun 8, 2018, at 09:35, Swaraj Oturkar <swarajot...@gmail.com> wrote:
>
> Hi Guys, I am fairly new here. I have created an app which gets data from the sql server and streams using ColumnDataSource. I have used the stream option in CDS to keep the data limited.
> I am also using periodic callbacks to update this data and the plots.
> However, the plotting functions take slightly longer at every iteration. The update function looks something like this.
>
>
> def update():
> get_data_from_server_and_filter_it()
> plot_data()
>
> def plot_data():
> figure.line(x = 'x', y = 'y', source = CDS)
>
> The get_data_from_server part takes equal time at each iteration. (It basically filters the data from sql and streams it to CDS)
> plot_data() takes more time at every iteration(0.01 secs more at each iteration) which I dont understand as the size of data in CDS is same because of CDS. After about 200 iterations the time required is more than 3 secs for each iteration.
>
> I am using bokeh serve --show command in anaconda to run the server. Once the plots take more time, I reset the server manually using ctrl+c. Then it runs much more quicker (0.8 secs) per iteration, however the time slowly increases.
>
> Any help is appreciated! Cheers! 
>
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