I have the need to cache a collection of objects that is mostly static (might have changes 1x per day) that is avaliable in my ASP.NET Web API OData service. This result set
Yes, output caching is not what you are looking for. You can cache the data in memory with MemoryCache for example, http://msdn.microsoft.com/en-us/library/system.runtime.caching.memorycache.aspx . However, you will lose that data if the application pool gets recycled. Another option is to use a distributed cache like AppFabric Cache or MemCache to name a few.
The solution I ended up using involved MemoryCache
in the System.Runtime.Caching
namespace. Here is the code that ended up working for caching my collection:
//If the data exists in cache, pull it from there, otherwise make a call to database to get the data
ObjectCache cache = MemoryCache.Default;
var peopleData = cache.Get("PeopleData") as List<People>;
if (peopleData != null)
return peopleData ;
peopleData = GetAllPeople();
CacheItemPolicy policy = new CacheItemPolicy {AbsoluteExpiration = DateTimeOffset.Now.AddMinutes(30)};
cache.Add("PeopleData", peopleData, policy);
return peopleData;
Here is another way I found using Lazy<T>
to take into account locking and concurrency. Total credit goes to this post: How to deal with costly building operations using MemoryCache?
private IEnumerable<TEntity> GetFromCache<TEntity>(string key, Func<IEnumerable<TEntity>> valueFactory) where TEntity : class
{
ObjectCache cache = MemoryCache.Default;
var newValue = new Lazy<IEnumerable<TEntity>>(valueFactory);
CacheItemPolicy policy = new CacheItemPolicy { AbsoluteExpiration = DateTimeOffset.Now.AddMinutes(30) };
//The line below returns existing item or adds the new value if it doesn't exist
var value = cache.AddOrGetExisting(key, newValue, policy) as Lazy<IEnumerable<TEntity>>;
return (value ?? newValue).Value; // Lazy<T> handles the locking itself
}