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Home/ Questions/Q 6572875
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Editorial Team
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Editorial Team
Asked: May 25, 20262026-05-25T15:03:40+00:00 2026-05-25T15:03:40+00:00

I’m using Enterprise Lib 5.0 caching app block and I’m trying to figure out

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I’m using Enterprise Lib 5.0 caching app block and I’m trying to figure out the best way to handle read/writes in a multi threaded scenario.
Is taking a lock on write and not taking a lock on read the recommended approach?

Update(string key, object value)
{
     lock(syncLock)
     { 
        cacheManager.Add(key,value);
     }
}
object Read(string key)
{
     object o = cacheManager.GetData(key);
     return o;
 }
  //OR is the following Read recommended using a lock
object Read(string key)
{   
     lock(syncLock)
     {
       object o = cacheManager.GetData(key);
       return o;
     }
}

My concern is that if one thread is about to update the item for a specific key at the same time as another thread is about to read the item for the same key.Can this cause races?

Would it make sense to have a dictionary of “keys” to “ReaderWriterLockSlim”s so that you would essentially take a lock for only a specifc key as opposed to a “common” lock in a multi threaded scenario like a web app:

Basically something like this:

Dictionary<string,ReaderWriterLockSlim> dict = new Dictionary<string,ReaderWriterLockSlim> ();

void Update(string key, object value)
{
     dict[key].EnterWriteLock();
     cacheManager.Add(key,value);
     dict[key].ExitWriteLock();         
}

object Read(string key)
{
     dict[key].EnterReadLock();    
     object o = cacheManager.GetData(key);
     dict[key].ExitReadLock();    
     return o;
 }
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-25T15:03:41+00:00Added an answer on May 25, 2026 at 3:03 pm

    You shouldn’t have to do your own locking with The Caching Application Block because “you are assured that the block performs in a thread-safe manner”.

    If you take a look at the source code for Cache you will see that the Add, Remove, and GetData methods all obtain locks on the in-memory cache before performing any operations.

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