data-synchronization

How to synchronize multiple clients with a shared database (JPA)?

杀马特。学长 韩版系。学妹 提交于 2019-12-07 01:03:30
I have a very essential question about a basic concept regarding synchronization of multiple clients that share a common database: I plan to design a distributed application using Java and JPA for persistence. Assumed that I have a central database that hosts all enterprise data and multiple clients connect to this database for querying data, what would be the best approach to keep the particular clients synchronized (in means of the data in the database) ? E.g. Client A updates the surname of a customer while Client B is already logged in to the database and has retrieved it's persistence

mySQL authoritative database - combined with Firebase

时光总嘲笑我的痴心妄想 提交于 2019-12-06 02:47:41
问题 We have built a LAMP-stack API application via PHP Laravel. This currently uses a local mySQL instance. We have mostly implemented views in AngularJS. In order to use Firebase, we need to sync data between the authoritative store in mySQL with anything relevant that exists on Firebase, as close to real-time as possible. This means that other parts of the app which are not real-time and don't use Firebase can also serve up fresh content that's very recently been entered into the system. I know

CTTelephonyNetworkInfo's currentRadioAccessTechnology Ambiguous response

南笙酒味 提交于 2019-12-06 00:14:47
I have a scenario in one of my applications that I should allow the user to sync some data to server only if the connection is at least 4G or LTE. Below is the source code I use and it works fine until the scenario explained below occurs/happens. if ([currentCellularAccessTechnology isEqualToString:CTRadioAccessTechnologyGPRS]) { self.currentCellularDataConnectionType = kGPRS; self.cellularConnectionFast = NO; } else if ([currentCellularAccessTechnology isEqualToString:CTRadioAccessTechnologyWCDMA]) { self.currentCellularDataConnectionType = kWCDMA; self.cellularConnectionFast = NO; } else if

Gaining better performance with inotify-tools and unison.

不羁岁月 提交于 2019-12-05 21:37:26
I use inotify-tools and unison to synchronize folders between machines. Because I have a large folder to synchronize, I just simply write an inotifywait script to do the job automatically. Is it sensible to let inotifywait to monitor the subdirectories of the large folder to gain a better performance? You should get better performance if you ditch inotify-tools and just use unison's native support for watching your folders for changes. By using inotify-tools and then calling unison when a change occurs, unison has to " re-find " the change before it syncs. You could instead add the line repeat

Data Synchronization between mobile and webserver

雨燕双飞 提交于 2019-12-05 19:48:33
How would you implement a data synchronization solution that ensures data on a mobile device and web server are in sync. Take a look to this tutorial ( part one and part two ), basically what they do is add a timestamp attribute storing the last modifications. It is developed to synchronize with the parse.com backend service but it is extendable to any backend. We use a Unix-Timestamp in our company for this. The Server is comunicating with us in json over tls and client is using AsyncSocket . For Web-Server (https) you can take for example a REST-service and ASIHTTP for client. But our

Evaluation of a strategy to sync Core Data with Dropbox

主宰稳场 提交于 2019-12-05 02:06:28
问题 This question is about using Dropbox to sync an sqlite Core Data store between multiple iOS devices. Consider this arrangement: An app utilizes a Core Data store, call it local.sql , saved in the app's own NSDocumentDirectory The app uses the Dropbox Sync API to observe a certain file in the user's Dropbox, say, user/myapp/synced.sql The app observes NSManagedObjectContextDidSaveNotification , and on every save it copies local.sql to user/myapp/synced.sql , thereby replacing the latter. When

TPL DataFlow vs BlockingCollection

南楼画角 提交于 2019-12-05 00:30:24
问题 I understand that a BlockingCollection is best suited for a consumer/producer pattern. However, when do I use a ActionBlock from the TPL DataFlow library? My initial understanding is for IO operations, keep the BlockingCollection while CPU intensive operations are bested suited for an ActionBlock . But I feel like this isn't the whole story... Any additional insight? 回答1: TPL Dataflow is better suited for an actor based design. That means that if you want to chain producers and consumers it's

Background data sync for mobile apps

百般思念 提交于 2019-12-04 20:21:54
问题 We're building an API and mobile app on top of a database that has a few hundred thousand records in the main table of interest. Our mobile developer is pushing hard about pre-loading the app with the full table in a local db, then having a service which the phone can sync changes against an updated_at column. While this can definitely increase performance of the app by having it search a local store, I'm worried this will create a lot of load on the server as we acquire more customers. Has

Syncing objects between two disparate systems, best approach?

余生长醉 提交于 2019-12-04 09:37:13
问题 I am working on syncing two business objects between an iPhone and a Web site using an XML-based payload and would love to solicit some ideas for an optimal routine. The nature of this question is fairly generic though and I can see it being applicable to a variety of different systems that need to sync business objects between a web entity and a client (desktop, mobile phone, etc.) The business objects can be edited, deleted, and updated on both sides. Both sides can store the object locally

mySQL authoritative database - combined with Firebase

放肆的年华 提交于 2019-12-04 06:59:39
We have built a LAMP-stack API application via PHP Laravel. This currently uses a local mySQL instance. We have mostly implemented views in AngularJS. In order to use Firebase, we need to sync data between the authoritative store in mySQL with anything relevant that exists on Firebase, as close to real-time as possible. This means that other parts of the app which are not real-time and don't use Firebase can also serve up fresh content that's very recently been entered into the system. I know that Firebase is essentially a noSQL database in the cloud. My question is - how do I write a wrapper