Comments (3)
Any particular motivation to reduce files that are just a couple of KB? Is there really much of a gain? If you have a particular desire to have as small a footprint on the filesystem as possible, you could write a custom Convertor
to take care of that.
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Well in my case I have a lot of MB
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I've been thinking about re-implementing Convertor
s for a while now, as they're pretty inflexible in their current state. (I'd really like to support Moshi).
In making them more flexible, that would allow for easy implementation of Convertor
s that can read and write from zipped streams. However, I'm not convinced this should be the default behaviour of any particular convertor. It's certainly something that could be provided in example code, but its requirement is niche enough that I don't want to include it in the main library.
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Related Issues (20)
- Support for different serializers HOT 4
- Drop the dependency on `Context`? HOT 3
- Disk-based LRU cache HOT 2
- Compared to Nhachicha/SnappyDB? HOT 1
- onCompleted() if nothing found at a specified key. HOT 5
- Building requires an internet connection HOT 2
- Remove Roboelectric dependency? HOT 1
- Release based on recent changes? HOT 3
- Which callback should be invoked If the key is not exist? HOT 5
- get methods can't work with generic types HOT 3
- Check existence ? HOT 3
- Convertors should be more flexible. HOT 3
- Possibility of corruption of store data on app termination HOT 2
- addToList is not thread safe HOT 6
- Delete store when not needed. HOT 1
- Android + Kotlin build error: Multiple dex files define Lorg/jetbrains/annotations/NotNull HOT 2
- Create legacy rxjava (1) branch? HOT 4
- Getting IOException HOT 9
- Model is converting into LinkedTreeMap HOT 2
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