I am working on a Point of Sale application that needs to be very good syncing mechanism. We have Magento Database.The android device have SQLite local Db. Now we need to sync in the following way:
Local ------Sync To---------------> Server (Up Sync)
Server------Sync To---------------> Locals (Down Sync)
There are 2 things:
1) write-to (How to take care??)
For every change that i do on local ,it will directly sync my local to server
2) write-back (How to take care???)
Whenever there is a change in server, we need to sync all our locals with server.
So, the task is: to identify a server update
And sync our locals.
Like there are 4 devices are running in a store and we have added one new customer through one device. Now i want that the three other devices local db also updated with the information about that customer and server also updated.
I heard about the background threads and run threads after a time interval. But what is the best way to do that which don't affect the application. Also the all Big Retail stores uses the syncing process. what they used for that ?
Any help is appreciated.
It fully depends on you database structure...
you have DATABASE in LOCAL (device) and on SERVER
NOW
You need to have TIMESTAMP fieLd added to the TABLES which actually you want to keep in SYNC.
When ever you will make any changes on server the TIMESTAMP will be updated there and same will be the case for the local database also what you have to do is now.
Run a service in the background which will keep on comparing the TIMESTAMPS of LOCAL with that of SERVER.
Now you have to put condition that if TIMESTAMP of SERVER is newer to that of LOCAL then bring changes from SERVER to LOCAL,
and vice versa will be the condition to take changes from LOCAL to SERVER.
Further you have to decide how frequently you want to run this SERVICE.
ALTERNATIVELY:
You can make the table there on SERVER which will store LAST_SYNCHED date for particular device
Whenever you will login in you device (or any other particular event on which you want it to perform this) the server will check-
when this device was LAST_SYNCHED
then it will compare it to TODAYS DATE
and will check what upadets actualy happened between these dates and
will send the changes to the LOCAL (device)
and vice versa for LOCAL (device) to SERVER
you have to play with TIMESTAMPS rest you can have your own logic how to structure the database.
I told you what I have have observed, when I have been a part of such similar project
EDIT
The above Process defines how to sync the devices with server I mean the strategy..
If you want your devices to get notified from server when to sync instead of hitting the WEB-SERVICE recurrently ..
You can make use of PUSH NOtification, GCM is one of them that send push notification to devices, you can integrate it to your project
For syncing you need to handle following two situations.
How and when to receive server updates
How to identify local non-synced data
How and when to receive server updates:
For receiving updates, we can use GCM (Google Cloud Messaging). If any updates made in server, server sends a push message to all devices. Devices will receive that push and based on the message, devices will download the data from server. (I think this is better approach than continuous hitting service for some particular intervals like polling)
For receiving only updated data from server, server maintains modified_timestamp column for all tables. First time devices will send empty timestamp, so that server sends all data to the device with server timestamp. Device receives the new data and updates local db and saves the latest server timestamp. For next time to get server updates, device will send stored server timestamp then server will send only modified data after that timestamp only. For each response server sends server timestamp, devices needs to store that timestamp and needs to use while calling service.
How to identify local non-synced data:
For sending local updates, local db needs to maintain one 'isSynced' column in tables. If any row modified in local isSynced will be false, after successful syncing local data to server isSynced will be true. so that we can handle local data up to date with server.
Updated:
You can find more information on this developer link
Have you considered using commercial solution?
http://www.mobeelizer.com/ seems like what you want to achieve. There are probably many other.
Note: no affiliation with that company.
I would say that the problem statement is incomplete. In above described setup what is missing is what actually you are going to synchronise.
Usual case in POS is that there exist few indices (id,value,...) tables that shall be distributed from central server to the client devices. In most cases it is price list, stock list, etc. Those tables should rarely be modified on client devices (actually could but then has to be redistributed from central server and acknowledged by client devices).
The other direction tend to be also pretty straightforward on client device you generate bills or invoices. These are again local stuff that shall be propagated towards server. Thus you actually store them locally and at sync point dispatch them to the server. Later on you might receive your own items back from server as an acknowledge.
EDIT: to detect changes, on-write timestamps as mentioned above is a must.
So far above described is the data flow.
Next you have to move into solution domain and implement these rules. There is couple of sync approaches (i.e.SyncML). On the other hand keeping it simple rulez. Thus the main concern should be some kind of locking and queueing that makes the thing robust.
It could also use the agent based client, in such case each device has it own agent (could be replica of last known state of the device db) but I would consider this as an advanced feature that might come in future release:-)
I am also working on the sales app in which i have to my local goals to server and server goals to my local goals
My proceder is that when ever my app is started i get the latest data from my server of my all my member and update my local data base with this data and when ever i change data in my local data base also update on sever side
also i used a sync button which will fetch latest data from the server if my team member changes its goal or profile
IF you want updated data on all the devices, why don't you use remote database only, why are you introducing local database for this.
For your case i will suggest you to work with only remote database directly so the things can be done real time.
Related
I am using kinvey as a backend to store some data. Everytime the user answers some questions on the phone(Android), the data is sent to kinvey immediately. But there can be a scenario where the user is not connected to the internet, so sending the data has failed.
I would like to know if there is any standard way to storing the data that hasnt been send in an efficient manner? Also how often should I try to resend the data that has not been sent? I would typically just put it in a db, and try to send whatever is in that table every 30 minutes or so and clear the table if the send is successful?
Would this be ideal? Also I see that Kinvey doesnt have a mechanism to handle this automatically(correct me if I'm wrong).
Thank you for any suggestions.
Local database is a good place to store your data securely. The thing is that you are sending data after every 30 min, you have to change that scenario.
Below are the steps:
Check Internet connectivity, if available than work online no need to store data locally
If internet is not available than store it in local DB
You are able to get Internet connection broadcast from system whether it is connected or not if you get connection at that time sync your data with the server (No need to check every 30 min) (System always broadcast when it get connection)
You can took a look at Firebase, feature that you're looking for is described in Offline Capabilities. If migrating from Kinvey is not an option - then store your data inside a DB and use JobScheduler to sync it to the backend when the conditions are right.
The other answers cover most of the use cases.
But if you don't want to use system broadcasts, another alternative would be for you to store the data on a database (SQLite, Firebase, etc), and try some sort of exponential backoff strategy to send your data to the server, using the AlarmManager for example. (Tutorial here).
You can try to check the internet connection from time to time, and send the data. If it fails for some reason (slow connection, connection drops, or no connection at all), try again later. Once you succeed, you can either remove the data from your data storage, or set up a flag like isSent = true.
Kinvey is rolling out offline sync capabilities to all their SDK's, it's currently in Beta. If you use iOS or Javascript for mobile development, check out the "3.0 beta" SDK's. You mentioned you use Android, support for that platform will come soon as well.
In your case, you need a cache store, it will save the data locally and sync automatically if there is no network. You don't have to worry about when or how often to sync.
http://devcenter.kinvey.com/ios-v3.0/guides/datastore#CacheStore
I have an SQLite database on Android and a MySQL database on a server. I want to synchronize these databases when a user edits data on their phone or edits data on a website.
I know how to update the MySQL database on the server when a user makes changes on their phone but I don't know how to update the Android database when a user makes changes on the website.
I have read into push notification and believe this to be a good path to follow but I have a few questions about it:
When a user updates data through a website it will send a push notification to that user's phone saying changes have been made. Can this push notification trigger to update the Android's database with the new changes made on the Server database?
What if a user turns off push notifications? Will I still be able to trigger for their Android database to be updated?
I have also read up on SQLite and MySQL database synchronization and found this post SQLite and MySQL sync but did not find the post helpful for my situation.
Are push notifications a good way to go or should I be using a different approach?
In a nutshell - I want a way for the Android device to detect changes on the MySQL database and update its SQLite database without the user initiating the synchronization.
I'm afraid I've not used push notifications. But a solution might be: You could create an early method call to an Asynchronous polling event from the launcher onCreate() that looks up the server to see if any changes have been registered (though an API of some sort) in the MySQL, and then update the SQLite that way? Since it's the first thing that happens on launch, technically the user isn't initiating it. Granted this won't update during use of the app, unless you repeat poll at regular intervals?
Token based pagination approach.
Assumptions: or calls you need to take
One of the databases will the source of truth, in case of differences in the two, which data is true, and which will be overwritten? - assuming remote database is source of truth
What's the frequency of data changes? - assuming its not realtime critical
How much stale data are we OK with dealing on the app. - assuming we're OK with a few minutes of difference
How to ensure data is consistent
Find a method to associate a token, which can be used to identify till which record is the data in sync. This is important no matter how assured you are of web requests, they will fail. So the best method is to send the last token that have stored, and the web endpoint will return data from that token to the latest value.
If the volume of data is too much here, sending chunks > sending all of it. Chunks work the same way, based on tokens.
These tokens can be simple PK auto increment column as well.
How to deal with time difference, stale data
If your application demands some data to be near realtime, better to categorize data based on a fiew screens, and whenever the user comes to the said screen, send a request in background to fetch related data columns only. Will ensure the data stays in sync w.r.t to the important columns. This is a classic push/pull approach. Can also be done on the splash screen itself.
as a rule of thumb, if you need something urgent, pull.
if it can wait, wait for a push.
Push notifications are OK as far as:
they should be silent.
there'a a limit on the number of push notifications that you can send
have costs associated
what's the fail - check mechanism? What if the requests fail?
I have been trying to implement SyncAdapter to sync data between client(android device) and server using sqlite.The same data will be shared between different devices.
On Update:
As soon as a particular record is updated on one client device it will be pushed to the server. At that moment the updated record should also be synced from the server to other connected devices.
Now, when we send sync request from other connected devices, what is the best way to know which record get updated on the server?
Here is what I would do to achieve this:
First, consider using timestamps. Here is how that could work;
In your database table (remotely), have a column updated_at which as soon as you sync your fresh data up, you should set a new timestamp for it.
In your android code, you can simply store lastSyncTime in your preferences then compare with what you get from your server column.
You can easily pull the value from an endpoint /last_sync/ to see if the sync_time has changed.
By comparing the two timestamps, you can then decide as to whether you want to sync down new data or keep the old until the new ones are synced.
I hope this helps. Good luck!
I have mobile app. Something like to do list or calendar. Teoretically user can have a few devices with that application on a defferent platforms and so on. I would like to create a automatic synchronization between them through a own server. What is the best practice: update all the information or only the changes? On the one hand usually there is no a lot of data when it's about a to do list but who knows?
The correct approach is not date/time as others suggest, as time can go out of sync. The right algorithm is to keep the checksum of the data entries during last synchronization. On next synchronization you compare current checksums with stored ones, then you know whether the entry has been changed on the server, on the client or both.
Our open-source Rethync SDK lets you implement the above approach quite easily and is available for Android (not for iOS at the moment).
I am doing something similar in my application. I have a last modified date field with each entity that I need to sync. Then periodically, I post this data to the server (actual data + date and time). Now the server can do one of two things. It will check the corresponding data on server side and compare the last modified date. If what the server is latest, it will return the latest data in response. If not, it will update its data and send a response indicating what client has is latest.
Of course you can do several optimization. That is, mark the data as "dirty" so you know whether to even send your data to server. If the phone does not have modified data, your sync is basically getting the latest data from server.
Basically server does the heavy lifting and does all the logic necessary to maintain the latest data on its end and send responses to client appropriately.
Good Luck
Best approach is use a time stamp to handle this.
Initial request to server with time stamp value 0.
Server will give the all the data first time with Time-stamp.
Store the Time stamp to sharedpreferences.
In All next request pass the time stamp back to the server
Server will send only those data which are add/update/ after that
given time stamp
That is it.
There is a new alternative to the syncing problem. It's called EnduroSync from Orando Labs. You can sync object data stores between devices on Android and iOS now, with others coming soon.
Full Disclosure: I work for Orando Labs.
The EnduroSync clients allow you to create object data stores on the local devices. The clients are fairly sophisticated - data is modeled as native objects for each client we support (iOS and Android now, more coming). The clients work offline and online. The data is saved to an sqlite database locally.
As you change objects in your model, the deltas are recorded on the device. At some point, you can 'sync' the object data store. Syncing uses a commit/push/pull process (like git), but this is invisible to you. The sync brings your local copy up to date with whatever is on the server, and sends up any changes you have made. Conflicts are resolved using a timestamp based merge, so newer data is not overwritten by older data.
EnduroSync is an online service, so there is no server setup on your end.
There is also a flexible permission system which lets you share the object data stores in a variety of ways. For instance, most applications will have one or more object data stores for each user, for preferences, notes, tags, etc. You can also share object data stores per app, per user type, and with wild cards, many other ways.
So basically you use our client SDK's to model your data on the device. Modeling is with simple objects in the native programming language of the device. If you sign up for the syncing service, you get the syncing also.
Here is another approach.
Issue :I need to have the appointments of doctors syned to client (mobile device) from the server. Now the appointments can drop off or the data could possibly change on the server. Having the client to know what change and sending a request back to server could be an expensive service.
Possible approach : Have the server do the heavy lifting. Keep a table which stores values of time stamp and if a change happened with regard to an appointment - cancellation / reschedule etc. The client would then look at this table to see if anything changed. In reality we don't need to sync anything but only the delta which server can provide to the client based on what it has and what is at Client. There is one aspect which needs to be taken care of is updation of info from client to server and traditional conflict management can be done where client can update the server when a data connectivity between client and server exists.
Essentially the approach is to have only the deltas synced by maintaining a checksum or data change log to PUSH changes to the client.
These days i am working on an Android Application and i have problem with data synchronization.
I am using JSON for transferring data.
Now i'll explain my problem.
Assume that you have one server and multiple Android devices which is sending data between each other. We have same database tables not only on android devices but also server.
Operation of system is like this :
At the beginning of day, Android devices must receive data from server.
During day, Android devices can change data in own database but it won't change data on server database.
At the end of day, Android devices will send
inserted,
updated,
deleted data to server.
My problem is starting here..
My code is logging every changes in Android device for sending at the and of day to server.
User A is added this data during day (id=1024 name=testA value=testAvalue)
User B is added this data during day (id=1024 name=testB value=testBvalue)
And then user B wanted to change data name during day (id=1024 name=testC value=testBvalue)
At the and of day, Firstly user A sent data to server. Now server has this data
(id=1024 name=testA value=testAvalue)
Secondly, user B sent data to server. Create(id=1024 name=testB value=testBvalue)
Here this data id will not be 1024 because server database has data which id is 1024. New data id will be 1025.
Now server has 2 data
(id=1024 name=testA value=testAvalue)
*(id=1025 name=testB value=testBvalue)*
And then, server will receive edit command like this
Edit(id=1024 name=testC value=testCvalue)
It will edit 1024. data and it will be wrong
(id=1024 name=testC value=testCvalue)
(id=1025 name=testB value=testBvalue)
This is a typical "he who saves last wins" problem. You have copies of the data out in the field, and you need to aggregate and synchronize updates at the end of the day. The problem here is not so much technical as it is a problem of design:
"How can I accept batched data updates from multiple sources when the updates conflict?"
So, this is really a conflict resolution problem. The "right" solution will depend on your application requirements.
One solution is to assign "ownership" of records to a device, so that only that device can make an update. An example might be a sales force in which representatives are assigned clients. Only the rep assigned to a client can make changes to records associated with that client.
Another solution is to write specific rules for resolving conflicts into the system. Your specific business case will determine exactly how to resolve each conflict. As long as your application cannot make changes to the server in realtime, this is probably your best bet to accept updates to the same record from multiple sources.
One of your problem is in ID collision. You need to select the appropriate column types for your primary keys based on your specific requirements.
Let me suggest few options (they all have some advantages and disadvantages).
Auto-Increment (Identity) columns: the clients only create temporary ids and replace with permanent ones after the server creates new records and send the newly generated ids to the clients.
Or the server will designate the range of ids for each client. E.g. Client A will insert records from 1-100000, Client B: 100001-200000, etc. Once new records riches the range limit the server should issue the new range.
GUIDs: each client will generate unique id on insert using new UUID() command and then your server will be able to insert or update the client changes without any problems.