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Welcome to the Mobile App Developers Blog. This is the one and only source of all news related to the Mobile app development industry. We are managing one of the best mobile app communities. If you are a mobile app developer and would like to share your comments and suggestions with us and our users, we would love to receive your submission here.
Welcome to the Mobile App Developers Blog. This is the one and only source of all news related to the Mobile app development industry. We are managing one of the best mobile app communities. If you are a mobile app developer and would like to share your comments and suggestions with us and our users, we would love to receive your submission here. Read MoreQ:
How to efficiently use cache to improve performance?
I have a table to which I insert values from a web service once every 10 minutes.
Some of the values are not updated that much so I'm thinking of having a cache which will cache the more recent values until something changes.
My question is:
What method of caching can I use?
What would be the best implementation for this? The cache would be used to lookup a value, it would be updated once a day.
The cache should avoid the the'slower' parts of the web service but just return the last 10 values, any ideas how this would be done?
I've looked into memcached and the TransientMap but I'm not quite sure how I would update the cache when a value is changed. 
Also I don't think that the last 10 values would be enough. So my guess is I need something like a cache which is concatenated daily and used to lookup values at startup.
I don't think that adding a timestamp is a good solution because it would create a bunch of useless  (to me) entries when nothing has changed (but this might be better for performance)..
A:
For the data that you want to cache, say, the last 10 rows, you can use a local cache. You would use a 'cached' value when querying the web service; then, if the value was not found in your cache, you would do an additional lookup.
If this cache is local to your application, you can simply use a local hashtable to store the keys of the cached data. For each new key, you can generate a new key from the current time, compute a hash of it and check if there is a key with
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