Java - Strategy for Offline/Online data synchronization
- However I'm starting now to think about writing the sync module that will ensure that any offline data gets sent to the server and server data back to the client. My requirement is I have server J2EE web application and client J2EE web application. Sometimes client can go offline. In the apps configuration file, you can specify synchronization policies for specific custom API endpoints. Defining Synchronization Policies Using a Configuration File shows how to configure default policies for the mobile backend and for endpoints (paths). If a policy isnt specified at any level, then the Synchronization librarys hard-coded default policy is used.
Offline to Online database synchronization
- When client comes online he should be able to synchronize changes to and fro. Offline application data will be manually synced to online database linked to the web application. Database is MySQL, some of the functions need to be available online as well as offline. If they don't match, then you replace the server's data. A cached resources policies depend on whether it was originally fetched from the server as part of a collection, as an object, or as part of a refresh. Plan D: Galera Cluster (built into MariaDB.x; manually installable on MySQL) - With this clustering technology, "nodes" can come and go; when they reconnect they automatically get back in sync.
Offline Online Data Synchronization - Arokia IT Pvt Ltd
- Suppose any user who does not have internet access will use the offline application. Once he is done with his work, and has internet access, he will sync all his work/data to the online database with single click. Offline Online Data Synchronization Arokia IT offers very effective data synchronization solution for its clients. Or not do any writes when disconnected. For example, if the resource was fetched using a fetch collection builder, then the resource's policies are the collection endpoints policies and not the objects endpoint policies. This will facilitate whatever Plan you pick. This probably means no auto_increment or foreign keys. You can configure the maximum size of the cache and you can specify when and how to perform background cache refreshes. If you eliminate the possibility of both being edited at the same time, then you don't have to solve this sticky problem. Synchronization Policy Levels and Precedence. Expiration and eviction policies work together to keep stale resources from cluttering the cache. In this case, the offline machine can be a readonly Slave. Which do I recommend? All writes must be done on the Master(s). Expiration Policies define how and when the Synchronization library marks resources stored in the local cache as out-dated or stale. It is not currently accepting answers. When you fetch a resource and the library uses the resource from the cache instead of from the server, then the resource's policies are not necessarily the policies that you configured for the object's endpoint. In the app, you can specify a resources synchronization policies when you fetch the data. But then, that means having some sort of resolution code after each connect. Plan B: Multi-source replication (available at least in MariaDB).