caching
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Sep 17, 2020 - Go
In some cases, the default implementations are very inefficient (e.g. Map.replaceAll and forEach fetching all entries and iterating over them locally). This was improved on member-side as the cluster version is available and in some cases we opted for using entry processors instead.
On the client-side, the cluster version is not available which meant it ends up still using the default versi
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currently "option forwardfor" cant't be unset, so there is no way to enable it in the default section and disable it in a particular frontend
Currently we don't have any mechanism to limit the maximum number of clients that could be handled simultaneously.
This feature should be designed properly. Here is some clue: https://redis.io/topics/clients#maximum-number-of-clients
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Allow to cache nulls
Problem description
I saw comment about nulls caching dotnetcore/EasyCaching#43 (comment), but we have important case when it is necessary.
We develop a low code platform, where our clients can set up some handlers for processing some requests from there websites.
- Each handler is entity in database, that is cached in memory.
- Some handlers cou
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Here is an issues with detailed description: NekR/offline-plugin#77