caching

问题 I have been sitting here for almost an hour here to test the website I'm building. Since I wanted to see the new changes from my code I reloaded, but it was reloading old one. I opened the devetools to hard reload and empy cache hard reload, they both load my old code. I went to incognito mode and it did the same thing. I went to devtools again to disable the cache from the settings and checked the disable cache in the network tab; it still cache my old code. Add-ons to clear the cache didn't

问题 In this article: http://www.drdobbs.com/parallel/volatile-vs-volatile/212701484?pgno=2 says, that we can't do any optimization for volatile , even such as (where: volatile int& v = *(address); ): v = 1; // C: write to v local = v; // D: read from v can't be optimized to this: v = 1; // C: write to v local = 1; // D: read from v // but it can be done for std::atomic<> It is can't be done, because between 1st and 2nd lines may v value be changed by hardware device (not CPU where can't work

问题 I build a service worker which always responds with data from the cache and then, in the background, sends a request to the server. If the server responds with HTTP 304 - not modified everything is fine, if the server responds with HTTP 200 , that means the data was changed and the new file is put into the cache, also the user is notified and asked for a page refresh. I use the not-modified-since / last-modified headers to make sure the client gets the most up-to-date version. When a request

问题 Caffeine has expiresAfterWrite method which looks at last write time. I want it to look only at the creation time. So when the first entry comes then entry will be expired after a fixed amount of time without looking at the number of updates on this entry. Is this possible? 回答1: Yes, but requires using the more advanced Expiry api. In the below example, a newly created entry has a fixed 5 minute lifetime. This is done by returning currentDuration on an update or read. LoadingCache<Key, Graph>

问题 I am designing a WCF service using DDD. I have a domain service layer that calls repository to create domain objects. The repository is implemented using ADO.Net and not an ORM. The data comes from DB using Stored Procs. While creating an object say an Address the SP returns an id for state. The SP will not join address table with the state table. The state is represented by a value object class State that has id, abbr and name properties. The list of state objects can be cached (using system

问题 I am designing a WCF service using DDD. I have a domain service layer that calls repository to create domain objects. The repository is implemented using ADO.Net and not an ORM. The data comes from DB using Stored Procs. While creating an object say an Address the SP returns an id for state. The SP will not join address table with the state table. The state is represented by a value object class State that has id, abbr and name properties. The list of state objects can be cached (using system

问题 I set up a service worker for a static web application that needs to work on mobile phones. I'm using react/webpack2 for this application. Service Worker installs and works greatly when I open the application via desktop, but when I try to visit the application through mobile, it does not install. When SW finishes installing, it gives you an alert message ("onInstalled"); https://abo-deg.surge.sh (here is an example) https://abo-deg.surge.sh/survey/background https://github.com/strongharris

问题 I set up a service worker for a static web application that needs to work on mobile phones. I'm using react/webpack2 for this application. Service Worker installs and works greatly when I open the application via desktop, but when I try to visit the application through mobile, it does not install. When SW finishes installing, it gives you an alert message ("onInstalled"); https://abo-deg.surge.sh (here is an example) https://abo-deg.surge.sh/survey/background https://github.com/strongharris

问题 watching this very good video on spark internals the presenter says that unless one performs an action on ones RDD after caching it caching will not really happen. I never see count() being called in any other circumstances. So, I'm guessing that he is only calling count() after cache() to force persistence in the simple example he is giving. It is not necessary to do this every time one calls cache() or persist() in one's code. Is this right ? 回答1: unless one performs an action on ones RDD

问题 watching this very good video on spark internals the presenter says that unless one performs an action on ones RDD after caching it caching will not really happen. I never see count() being called in any other circumstances. So, I'm guessing that he is only calling count() after cache() to force persistence in the simple example he is giving. It is not necessary to do this every time one calls cache() or persist() in one's code. Is this right ? 回答1: unless one performs an action on ones RDD