storage

问题 I try to save datas from my chrome extension : chrome.runtime.onMessage.addListener( function(request, sender, sendResponse) { chrome.storage.sync.set(request, function() { chrome.storage.sync.get(null, function(datas) { console.log(datas); console.log("background"); sendResponse(datas); }) }); } ); Each time I'm receiving a message, I store this message, and I send all saved item as a response. In this code, in the console, background is displayed but datas is empty (Nothing in the console)

问题 I have been reading about the best place to save images uploaded by users. In my case, I think it is better to store these images in the filesystem. I want to store them in the same server and keep it easy to mantain by other administrators. Is it possible to set the upload folder inside the application context and configure Grails in order to not delete that folder when redeploying a new war? If not, I wonder if the next code (gotten here by @yecid) would work as I think it uploads the

问题 I have been reading about the best place to save images uploaded by users. In my case, I think it is better to store these images in the filesystem. I want to store them in the same server and keep it easy to mantain by other administrators. Is it possible to set the upload folder inside the application context and configure Grails in order to not delete that folder when redeploying a new war? If not, I wonder if the next code (gotten here by @yecid) would work as I think it uploads the

问题 I've seen many posts about how to get the amount of free space the iOS device has, or how much free space the iOS device has, but is there a way to determine how much space the app itself has used? (Including the app itself and all of its resources/documents/cache/etc). This would be the same value that can be seen in Settings->General->iPhone Storage. 回答1: I ended up figuring out how to do this: I created a category on NSFileManager and added: -(NSUInteger)applicationSize NSString *appgroup

问题 Hi can anyone help me how to find the maximum number of photos that can be captured with the available/remaining storage space in android programatically. 来源： https://stackoverflow.com/questions/29364532/calulate-space-for-photo-capture-in-android

问题 I'm trying to use async io on linux. As far as i know there're 3 options: kernel calls (io_submit and friends) libRT - uses threads in user space libRTKAIO - wrapper of kernel calls which does not use threads I'm using the last option, and i see, that in my unit test that runs a lot of async io requests in multiple threads, /proc/sys/fs/aio-nr is never higher than 1024. I wonder where lays such limitation. I've set /proc/sys/fs/aio-max-nr to 16M, so it's not an issue. A related question (also

问题 I am currently working on a project where the user needs to select a image from there photo gallery and import it. Using the following code I am able to import the picture but I have a few questions. What is the image named upon import? Where is the image located once imported Is it possible to save that image and reload it when the app is opened again (ie using isolated storage) Heres the code from a tutorial using System; using System.Collections.Generic; using System.Linq; using System.Net

问题 Note: This is a follow up to this question. I have a "legacy" program which does hundreds of string matches against big chunks of HTML. For example if the HTML matches 1 of 20+ strings, do something. If it matches 1 of 4 other strings, do something else. There are 50-100 groups of these strings to match against these chunks of HTML (usually whole pages). I'm taking a whack at refactoring this mess of code and trying to come up with a good approach to do all these matches. The performance

问题 I am currently building an application where I am importing statistical data for (currently) around 15,000 products. At current, if I was to maintain one database table for each day statistics from one source it would be increased by 15,000 rows of data (let's say 5-10 fields per row primarily float, int) per day. Obviously equating to over 5 million records per year into one table. That doesn't concern me so much as the thought of bringing in data from other sources (and thus increasing the

问题 I am currently building an application where I am importing statistical data for (currently) around 15,000 products. At current, if I was to maintain one database table for each day statistics from one source it would be increased by 15,000 rows of data (let's say 5-10 fields per row primarily float, int) per day. Obviously equating to over 5 million records per year into one table. That doesn't concern me so much as the thought of bringing in data from other sources (and thus increasing the