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Android SharedPreferences can be used to store primitive java type data such as int, long, float, boolean, String etc. It can also be used to save or load custom java objects.
A hash with a few fields (where few means up to one hundred or so) is stored in a way that takes very little space, so you can store millions of objects in a small Redis instance.
4 Answers. Redis is binary safe so, in the case of Jedis, you can use BinaryJedis to store binary data just as any other kind of value that you store in Redis. And no, I don't think storing images in Redis, and thus in-memory, is a good strategy. That would have to be a very special use-case.
Fact: despite its multitude of core data structures, Redis has none that fit the requirements of a JSON value. Sure, you can work around that by using other data types: Strings are great for storing raw serialized JSON, and you can represent flat JSON objects with Hashes. Both JSON. SET and JSON.
According to Redis homepage, Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports various data structures such as Strings, Hashes, Lists, Sets etc.
Redis can handle up to 232keys, and was tested in practice to handle at least 250 million keys per instance. Every hash, list, set, and sorted set, can hold 232 elements. In other words your limit is likely the available memory in your system.
Fact: despite its multitude of core data structures, Redis has none that fit the requirements of a JSON value. Sure, you can work around that by using other data types: Strings are great for storing raw serialized JSON, and you can represent flat JSON objects with Hashes. Both JSON. SET and JSON.
4 Answers. Redis is binary safe so, in the case of Jedis, you can use BinaryJedis to store binary data just as any other kind of value that you store in Redis. And no, I don't think storing images in Redis, and thus in-memory, is a good strategy. That would have to be a very special use-case.
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