ConcurrentHashSet | A ConcurrentHashSet implementation
kandi X-RAY | ConcurrentHashSet Summary
kandi X-RAY | ConcurrentHashSet Summary
A ConcurrentHashSet implementation based on .NET's ConcurrentDictionary.
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QUESTION
As per this solution (https://stackoverflow.com/a/18923091/529618) I am using a ConcurrentDictionary
as a workaround for the lack of ConcurrentHashSet
. However, I'm struggling to see how I can get the original T Key
back out of the dictionary in O(1) time.
ANSWER
Answered 2020-Apr-07 at 17:52I just realized I could just switch from using a ConcurrentDictionary
to a ConcurrentDictionary
. It may have a bit of a heavier footprint than the byte value (unconfirmed), but if the value and key are the same, I can easily get the key from the value.
To extend this to those finding this question and who are actually using the "value", you can opt to change your dictionary to a ConcurrentDictionary
, and get both the original key and the value that way.
QUESTION
Been having some problems with a web based .Net(C#) application. I'm using the LazyCache library to cache frequent JSON responses (some in & around 80+KB) for users belonging to the same company across user sessions.
One of the things we need to do is to keep track of the cache keys for a particular company so when any user in the company makes mutating changes to items being cached we need to clear the cache for those items for that particular company's users to force the cache to be repopulated immediately upon the receiving the next request.
We choose LazyCache library as we wanted to do this in memory without needing to use an external cache source such as Redis etc as we don't have heavy usage.
One of the problems we have using this approach is we need to keep track of all the cache keys belonging to a particular customer anytime we cache. So when any mutating change is made by company user's to the relevant resource we need to expire all the cache keys belonging to that company.
To achieve this we have a global cache which all web controllers have access to.
...ANSWER
Answered 2020-Feb-27 at 20:49Large objects (> 85k) belong in gen 2 Large Object Heap (LOH), and they are pinned in memory.
- GC scans LOH and marks dead objects
- Adjacent dead objects are combined into free memory
- The LOH is not compacted
- Further allocations only try to fill in the holes left by dead objects.
No compaction, but only reallocation may lead to memory fragmentation. Long running server processes can be done in by this - it is not uncommon. You are probably seeing fragmentation occur over time.
Server GC just happens to be multi-threaded - I wouldn't expect it to solve fragmentation.
You could try breaking up your large objects - this might not be feasible for your application.
You can try setting LargeObjectHeapCompaction
after a cache clear - assuming it's infrequent.
QUESTION
I'm having a method which calls a WCF service multiple times in parallel. To prevent an overload on the target system, I want to use PLinq's ability to limit the number of parallel executions. Now I wonder how I could rewrite my method in an efficient way.
Here's my current implementation:
...ANSWER
Answered 2020-Jan-21 at 15:02PLINQ only works with synchronous code. It has some nice built-in knobs for controlling the number of concurrent parallel operations.
To control the number of concurrent asynchronous operations, use SemaphoreSlim
:
QUESTION
Let's consider the following following code:
...ANSWER
Answered 2019-Mar-03 at 20:19computeIfPresent
removes the entry if the mapper returns null
. Instead of performing the removal in a separate step, return null
from the mapper if you want to remove the entry.
(Also, you should really fold the .add(setValue)
into your computeIfAbsent
mapper, and use compute
instead of computeIfAbsent
, because you're not doing anything to protect the add
call right now. Using merge
would also be an option.)
QUESTION
I'm currently using rx-java 2 and have a use case where multiple Observables need to be consumed by single Camel Route subscriber. Using this solution as a reference, I have a partly working solution. RxJava - Merged Observable that accepts more Observables at any time?
I'm planning to use a PublishProcessor
that will be subscribed to one camel reactive stream subscriber and then maintain a ConcurrentHashSet>
where I can dynamically add new Observable.
I'm currently stuck on how can I add/manage Flowable
instances with PublishProcessor?
I'm really new to rx java, so any help is appreciated! This is what I have so far :
ANSWER
Answered 2018-May-02 at 17:14You can have a single Processor
and subscribe to more than one observable stream. You would need to manage the subscriptions by adding and removing them as you add and remove observables.
QUESTION
Recently I switched from HashSet to a collection someone else posted called 'ConcurrentHashSet', I decided to opt out of locking my own HashSet as I was using it a lot and just seemed a safer bet to use a pre-made thread-safe class, but I've hit an issue.
When I used HashSet (the default HashSet class) I was getting my HashSet values using the First
and FirstOrDefault
methods, the issue is I can no longer use these methods and I'm not sure why or how to re-implement them, is it even possible? It may be really simple, I'm unsure.
I was hoping someone would know and could point me in the right direction. Heres the class that I picked up off another stack overflow answer, although I'm not sure if this is the original.
...ANSWER
Answered 2017-Dec-02 at 08:21Internally the custom class you have posted uses a HashSet
to store the data. So you can still make use of the methods you mentioned, First
and FirstOrDefault
, provided that you would do it in a thread safe way. For instance the implementation of FirstOrDefault
would have been something like this:
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