persistent

XCode 4.3 Unable to load persistent store UserDictionary.sqlite

本秂侑毒 提交于 2019-11-28 18:29:13
问题 I have been working on an iOS app for some time, all of a sudden I am getting the following crash every time I run the app in the iOS 5.1 Simulator. The App does not use Core Data and I am not sure what brought this about. I have deleted the app from the simulator, done Clean, and a rebuild but nothing seems to help. Unable to load persistent store at URL 'file://localhost/Users/jcottrell/Library/Application%20Support/iPhone%20Simulator/5.1/Library/Keyboard/UserDictionary.sqlite' ({ metadata

Recommend a fast & scalable persistent Map - Java

会有一股神秘感。 提交于 2019-11-28 17:33:07
I need a disk backed Map structure to use in a Java app. It must have the following criteria: Capable of storing millions of records (even billions) Fast lookup - the majority of operations on the Map will simply to see if a key already exists. This, and 1 above are the most important criteria. There should be an effective in memory caching mechanism for frequently used keys. Persistent, but does not need to be transactional, can live with some failure. i.e. happy to synch with disk periodically, and does not need to be transactional. Capable of storing simple primitive types - but I don't

What exactly does a “persistent connection” mean?

梦想与她 提交于 2019-11-28 06:24:46
I read about " HTTP persistent connection " but somehow I don't seem to understand what does persistent mean in this context. Could you'll elaborate? All the discussion till now has been from the browser side of things. The browser first request the actual page, and it parses the page and finds out all other resources that it needs before it can render that page. The browser requests these resources and other dependent resources one by one. So maintaining a persistent connection is very efficient here, as the overhead of creating and destroying connections is avoided. Now from web server side

Persistent data structures in Scala

烈酒焚心 提交于 2019-11-28 03:59:44
Are all immutable data structures in Scala persistent? If not, which of them are and which not? What are the behavioural characteristics of those which are persistent? Also, how do they compare to the persistent data structures in Clojure? Scala's immutable data structures are all persistent, in the sense that the old value is maintained by an `update' operation. In fact, I do not know of a difference between immutable and persistent; for me the two terms are aliases. Two of Scala's 2.8 immutable data structures are vectors and hash tries, represented as 32-ary trees. These were originally

Detached entity passed to persist when save the child data

落花浮王杯 提交于 2019-11-27 21:22:32
I'm getting this error when submitting the form: org.hibernate.PersistentObjectException: detached entity passed to persist: com.project.pmet.model.Account; nested exception is javax.persistence.PersistenceException: org.hibernate.PersistentObjectException: detached entity passed to persist: com.project.pmet.model.Account Here are my entities: Account: @Entity @DynamicInsert @DynamicUpdate public class Account { @Id @GeneratedValue private Integer id; @Column(nullable = false) private String login; @Column(nullable = false) private String password; @Column(nullable = false) private String

Android - Making Webview DomStorage persistant after app closed

江枫思渺然 提交于 2019-11-27 20:06:35
I'm facing a huge problem developing an Android app which use a Webview to display datas. The website i'm using in the webview use localStorage API of HTML 5. To enable this feature i've set the webview setting like this : webview.getSettings().setDomStorageEnabled(true); webview.getSettings().setJavaScriptEnabled(true); So the localStorage API works but when I close the app (and kill the process), localStorage is completly erased and when I reload it, all my datas are lost. My question is simple : How to make DomStorage of a Webview persistant even when we close the app ? Thank you for all

TCP connection is not reused for HTTP requests with HttpURLConnection

泪湿孤枕 提交于 2019-11-27 18:50:49
问题 I'm have created an application which sends GET requests to a URL, and then downloads the full content of that page. The client sends a GET to e.g. stackoverflow.com, and forwards the response to a parser, which has the resposibility to find all the sources from the page that needs to be downloaded with subsequent GET requests. The method below is used to send those GET requests. It is called many times consecutively, with the URLs returned by the parser. Most of those URLs are located on the

Recommend a fast & scalable persistent Map - Java

别来无恙 提交于 2019-11-27 10:32:45
问题 I need a disk backed Map structure to use in a Java app. It must have the following criteria: Capable of storing millions of records (even billions) Fast lookup - the majority of operations on the Map will simply to see if a key already exists. This, and 1 above are the most important criteria. There should be an effective in memory caching mechanism for frequently used keys. Persistent, but does not need to be transactional, can live with some failure. i.e. happy to synch with disk

What exactly does a “persistent connection” mean?

[亡魂溺海] 提交于 2019-11-27 01:20:00
问题 I read about "HTTP persistent connection" but somehow I don't seem to understand what does persistent mean in this context. Could you'll elaborate? 回答1: All the discussion till now has been from the browser side of things. The browser first request the actual page, and it parses the page and finds out all other resources that it needs before it can render that page. The browser requests these resources and other dependent resources one by one. So maintaining a persistent connection is very

Django persistent database connection

好久不见. 提交于 2019-11-26 23:23:13
I'm using django with apache and mod_wsgi and PostgreSQL (all on same host), and I need to handle a lot of simple dynamic page requests (hundreds per second). I faced with problem that the bottleneck is that a django don't have persistent database connection and reconnects on each requests (that takes near 5ms). While doing a benchmark I got that with persistent connection I can handle near 500 r/s while without I get only 50 r/s. Anyone have any advice? How to modify django to use persistent connection? Or speed up connection from python to DB Thanks in advance. Cesar Canassa Django 1.6 has