The Store component in Dash makes it easy to share state between callbacks . Under the hood, the data are stored as JSON in the browser. This approach is chosen to keep the server stateless (i guess), but it has a few drawbacks As the data are stored in JSON, you must convert objects from/to JSON i…

Hi, I got time to make some testing and benchmarking for the CallbackCache. Here are the results: Testing CallbackCache Now I tested with example code of adamschroeder using his example data, and this is what I see in the dev tools: [image] Each time I pressed the “Run benchmark (with cache)” -b…

Will it be better to use flask-caching directly?

Great analysis! I love your diagram in particular :blush:. I’ll take it as the starting point of my answer. Let’s denote the arrows (1,2,3,4). To sum up what happens, Client sends button click (small). Client receives the full data, i.e. around 6.7 MB is this example. Client sends the full data, 6…

You can use flask cache directly to avoid reevaluating the function multiple time, but it won’t save you the data round trip, which is the key point of the CallbackCache.

It would not make sense to use the cached callback per default. As noted in my previous post, it only makes sense to use the cache for callbacks that return data, which is not used by the client. It might be more intuitive to use the same callback decorator for all callbacks and add a cache keyword…

Based on inputs from @fohrloop and @chriddyp , i have come up with a new syntax (available in dash-extensions 0.0.28). The performance should be the same, but the syntax is simpler (at least that is the intention). Here is the benchmark example using the new syntax, import datetime import dash_core_…

To change the cache path, you should create a new FileSystemStore backend, i.e. something like this, from dash_extensions.enrich import Dash, FileSystemStore output_defaults=dict(backend=FileSystemStore(cache_dir="some_path"), session_check=True) app = Dash(output_defaults=output_defaults) As an …

Hi @Emil , First, great job!! I notice that in this version, you import dash from dash_extensions.enrich, and you use app=Dash(…) Instead of app=dash.Dash(…) When I do the same, my app stops displaying / my callbacks don’t fire correctly anymore. Could you enlighten me on the reason for this chang…

Thanks! Did you remember to import the Input, Output and State objects from enrich also? And what versions are you using?

Show and Tell - Server Side Caching

Dash Python

fohrloop July 28, 2020, 2:09pm 17

Regarding to this, I posted my thoughts on naming/default behaviour of a “cache” to the separate thread.

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Show and Tell - Server Side Caching

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