I'll make it quick. I'm building an application that will relay heavily on Firebase, and especially the Real Time Database. It functions purely off of user input, which can obviously change and mutate. Essentially they will be sending what I'm calling Bundles to the database. They contain vital information about location, information, etc. So, the question, how can I structure the add script from my application so I can make sure that no duplicate data bundle names are generated, as it wouldn't be ideal at all. Using a users UID also wouldn't be ideal as that could lead to an immediate duplicate data if they send two Bundles. Thanks everybody!
You'll have to use childByAutoId when creating the "bundle" node, This will create a node with a unique identifier.
Source: https://firebase.google.com/docs/database/ios/save-data
I accomplished this by using the push function in the firebase documentation. This allows me to not only add the data bundle right into a list of other data bundles, but it also includes the server providing it with a unique key, thus removing all chances of duplicate bundle names occurring. You can check out the same docs by clicking here
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I'm developing a plugin that will pull data from a third party API. The user user inputs a number of options in a normal settings form for the plugin (used Reduz Framework - that uses WP Settings API).
The user provided options will then be used to generate a request to the third party API.
Now to my problem / question: How can I store the data that's returned from that API? Is there a built in way to do this in Wordpress - or will I have to install a database table of my own? Seems to be a bit overkill... Is there any way to "hack" in to the Settings API and set custom settings without having to display them in a form on front end?
Thank you - and happy holidays to everyone!
It sounds like what you want to do is actually just store the data from the remote API request, rather than "options". If you don't want to create a table for them, I can think of three simple approaches.
Transients API
Save the data returned from the API as transients, i.e. temporary cached data. This is generally good for data that's going to expire anyway and thus will need to be refreshed. Set an expiry time! Even if you want to hang onto the data "for ever", set an expiry time or the data will be autoloaded on every page load and thus consume memory even if you don't need them. You can then easily retrieve them with get_transient; if expired, you'll get false and that is your trigger to make your API call again.
NB: on hosts with memcached or other object caches, there's a good chance that your transients will be pushed out of the object cache sooner than you intend, thus forcing your plugin to retrieve the data again from the API. Transients really are about caching, not "data storage" per se.
Options
Save your data as custom options using add_option -- and specify autoload="no" so that they don't fill up script memory when they aren't needed! Beware the update_option will add the data with autoload="yes" if it doesn't already exist, so I recommend you delete and then add rather than update. You can then retrieve your data easily.
Custom Post Type
You can easily store your data in the wp_posts table by registering a custom post type, and then you can use wp_insert to save them and the usual WordPress post queries to retrieve them. Great for long-term data that you want to hang onto. You can make use of the post_title, post_content, post_excerpt and other standard post fields to store some of your data, and if you need more, you can add post meta fields.
I develop an app for iPhone / iPod Touch which has to have access to a MySQL database. I wrote a PHP API which I can call from the iPhone app.
In the database I store sensitive data which I want to encrypt. I think I will use AES_ENCRYPT. My problem is where to store the key.
It'd be great of you have any idea where to store the key to encrypt / decrypt so that it can not be seen by any other persons, e.g. hackers.
In general:
Don't keep your key in a part of the server that the web server has direct access to. For example, if your site is in /var/www/home, don't put your key in there. Put it someplace outside the web server's part of the tree.
Make sure that the permissions on the folder containing your key are correctly set. Your PHP app needs to have READ access only, NOT write or execute on that folder (and the key file).
Make sure the server itself has a good password (long, lots of random numbers, letters, and symbols).
Make sure the server is protected by a properly configured firewall, and is kept up to date with the most recent security patches.
As for trying to keep the key and the data separate -- this is a perennial problem for which there is no very good solution. The simple fact of the matter is that your application has to have access to the key. Either that means forcing everyone who's going to use the app to memorize the key -- which is likely to lead to sticky notes on monitors in plain view -- or else it has to live somewhere that the app can find it, either on the same server or another.
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I have been working on a method to sync core data stored in an iPhone application between multiple devices, such as an iPad or a Mac. There are not many (if any at all) sync frameworks for use with Core Data on iOS. However, I have been thinking about the following concept:
A change is made to the local core data store, and the change is saved. (a) If the device is online, it tries to send the changeset to the server, including the device ID of the device which sent the changeset. (b) If the changeset does not reach the server, or if the device is not online, the app will add the change set to a queue to send when it does come online.
The server, sitting in the cloud, merges the specific change sets it receives with its master database.
After a change set (or a queue of change sets) is merged on the cloud server, the server pushes all of those change sets to the other devices registered with the server using some sort of polling system. (I thought to use Apple's Push services, but apparently according to the comments this is not a workable system.)
Is there anything fancy that I need to be thinking about? I have looked at REST frameworks such as ObjectiveResource, Core Resource, and RestfulCoreData. Of course, these are all working with Ruby on Rails, which I am not tied to, but it's a place to start. The main requirements I have for my solution are:
Any changes should be sent in the background without pausing the main thread.
It should use as little bandwidth as possible.
I have thought about a number of the challenges:
Making sure that the object IDs for the different data stores on different devices are attached on the server. That is to say, I will have a table of object IDs and device IDs, which are tied via a reference to the object stored in the database. I will have a record (DatabaseId [unique to this table], ObjectId [unique to the item in the whole database], Datafield1, Datafield2), the ObjectId field will reference another table, AllObjects: (ObjectId, DeviceId, DeviceObjectId). Then, when the device pushes up a change set, it will pass along the device Id and the objectId from the core data object in the local data store. Then my cloud server will check against the objectId and device Id in the AllObjects table, and find the record to change in the initial table.
All changes should be timestamped, so that they can be merged.
The device will have to poll the server, without using up too much battery.
The local devices will also need to update anything held in memory if/when changes are received from the server.
Is there anything else I am missing here? What kinds of frameworks should I look at to make this possible?
I've done something similar to what you're trying to do. Let me tell you what I've learned and how I did it.
I assume you have a one-to-one relationship between your Core Data object and the model (or db schema) on the server. You simply want to keep the server contents in sync with the clients, but clients can also modify and add data. If I got that right, then keep reading.
I added four fields to assist with synchronization:
sync_status - Add this field to your core data model only. It's used by the app to determine if you have a pending change on the item. I use the following codes: 0 means no changes, 1 means it's queued to be synchronized to the server, and 2 means it's a temporary object and can be purged.
is_deleted - Add this to the server and core data model. Delete event shouldn't actually delete a row from the database or from your client model because it leaves you with nothing to synchronize back. By having this simple boolean flag, you can set is_deleted to 1, synchronize it, and everyone will be happy. You must also modify the code on the server and client to query non deleted items with "is_deleted=0".
last_modified - Add this to the server and core data model. This field should automatically be updated with the current date and time by the server whenever anything changes on that record. It should never be modified by the client.
guid - Add a globally unique id (see http://en.wikipedia.org/wiki/Globally_unique_identifier) field to the server and core data model. This field becomes the primary key and becomes important when creating new records on the client. Normally your primary key is an incrementing integer on the server, but we have to keep in mind that content could be created offline and synchronized later. The GUID allows us to create a key while being offline.
On the client, add code to set sync_status to 1 on your model object whenever something changes and needs to be synchronized to the server. New model objects must generate a GUID.
Synchronization is a single request. The request contains:
The MAX last_modified time stamp of your model objects. This tells the server you only want changes after this time stamp.
A JSON array containing all items with sync_status=1.
The server gets the request and does this:
It takes the contents from the JSON array and modifies or adds the records it contains. The last_modified field is automatically updated.
The server returns a JSON array containing all objects with a last_modified time stamp greater than the time stamp sent in the request. This will include the objects it just received, which serves as an acknowledgment that the record was successfully synchronized to the server.
The app receives the response and does this:
It takes the contents from the JSON array and modifies or adds the records it contains. Each record get set a sync_status of 0.
I used the word record and model interchangeably, but I think you get the idea.
I suggest carefully reading and implementing the sync strategy discussed by Dan Grover at iPhone 2009 conference, available here as a pdf document.
This is a viable solution and is not that difficult to implement (Dan implemented this in several of its applications), overlapping the solution described by Chris. For an in-depth, theoretical discussion of syncing, see the paper from Russ Cox (MIT) and William Josephson (Princeton):
File Synchronization with Vector Time Pairs
which applies equally well to core data with some obvious modifications. This provides an overall much more robust and reliable sync strategy, but requires more effort to be implemented correctly.
EDIT:
It seems that the Grover's pdf file is no longer available (broken link, March 2015). UPDATE: the link is available through the Way Back Machine here
The Objective-C framework called ZSync and developed by Marcus Zarra has been deprecated, given that iCloud finally seems to support correct core data synchronization.
If you are still looking for a way to go, look into the Couchbase mobile. This basically does all you want. (http://www.couchbase.com/nosql-databases/couchbase-mobile)
Similar like #Cris I've implemented class for synchronization between client and server and solved all known problems so far (send/receive data to/from server, merge conflicts based on timestamps, removed duplicate entries in unreliable network conditions, synchronize nested data and files etc .. )
You just tell the class which entity and which columns should it sync and where is your server.
M3Synchronization * syncEntity = [[M3Synchronization alloc] initForClass: #"Car"
andContext: context
andServerUrl: kWebsiteUrl
andServerReceiverScriptName: kServerReceiverScript
andServerFetcherScriptName: kServerFetcherScript
ansSyncedTableFields:#[#"licenceNumber", #"manufacturer", #"model"]
andUniqueTableFields:#[#"licenceNumber"]];
syncEntity.delegate = self; // delegate should implement onComplete and onError methods
syncEntity.additionalPostParamsDictionary = ... // add some POST params to authenticate current user
[syncEntity sync];
You can find source, working example and more instructions here: github.com/knagode/M3Synchronization.
Notice user to update data via push notification.
Use a background thread in the app to check the local data and the data on the cloud server,while change happens on server,change the local data,vice versa.
So I think the most difficult part is to estimate data in which side is invalidate.
Hope this can help u
I have just posted the first version of my new Core Data Cloud Syncing API, known as SynCloud.
SynCloud has a lot of differences with iCloud because it allows for Multi-user sync interface. It is also different from other syncing api's because it allows for multi-table, relational data.
Please find out more at http://www.syncloudapi.com
Build with iOS 6 SDK, it is very up to date as of 9/27/2012.
I think a good solution to the GUID issue is "distributed ID system". I'm not sure what the correct term is, but I think that's what MS SQL server docs used to call it (SQL uses/used this method for distributed/sync'ed databases). It's pretty simple:
The server assigns all IDs. Each time a sync is done, the first thing that is checked are "How many IDs do I have left on this client?" If the client is running low, it asks the server for a new block of IDs. The client then uses IDs in that range for new records. This works great for most needs, if you can assign a block large enough that it should "never" run out before the next sync, but not so large that the server runs out over time. If the client ever does run out, the handling can be pretty simple, just tell the user "sorry you cannot add more items until you sync"... if they are adding that many items, shouldn't they sync to avoid stale data issues anyway?
I think this is superior to using random GUIDs because random GUIDs are not 100% safe, and usually need to be much longer than a standard ID (128-bits vs 32-bits). You usually have indexes by ID and often keep ID numbers in memory, so it is important to keep them small.
Didn't really want to post as answer, but I don't know that anyone would see as a comment, and I think it's important to this topic and not included in other answers.
First you should rethink how many data, tables and relations you will have. In my solution I’ve implemented syncing through Dropbox files. I observe changes in main MOC and save these data to files (each row is saved as gzipped json). If there is an internet connection working, I check if there are any changes on Dropbox (Dropbox gives me delta changes), download them and merge (latest wins), and finally put changed files. Before sync I put lock file on Dropbox to prevent other clients syncing incomplete data. When downloading changes it’s safe that only partial data is downloaded (eg lost internet connection). When downloading is finished (fully or partial) it starts to load files into Core Data. When there are unresolved relations (not all files are downloaded) it stops loading files and tries to finish downloading later. Relations are stored only as GUID, so I can easly check which files to load to have full data integrity.
Syncing is starting after changes to core data are made. If there are no changes, than it checks for changes on Dropbox every few minutes and on app startup. Additionaly when changes are sent to server I send a broadcast to other devices to inform them about changes, so they can sync faster.
Each synced entity has GUID property (guid is used also as a filename for exchange files). I have also Sync database where I store Dropbox revision of each file (I can compare it when Dropbox delta resets it’s state). Files also contain entity name, state (deleted/not deleted), guid (same as filename), database revision (to detect data migrations or to avoid syncing with never app versions) and of course the data (if row is not deleted).
This solution is working for thousands of files and about 30 entities. Instead of Dropbox I could use key/value store as REST web service which I want to do later, but have no time for this :) For now, in my opinion, my solution is more reliable than iCloud and, which is very important, I have full control on how it’s working (mainly because it’s my own code).
Another solution is to save MOC changes as transactions - there will be much less files exchanged with server, but it’s harder to do initial load in proper order into empty core data. iCloud is working this way, and also other syncing solutions have similar approach, eg TICoreDataSync.
--
UPDATE
After a while, I migrated to Ensembles - I recommend this solution over reinventing the wheel.
I'm using Catalyst with Catalyst::Plugin::Authentication and
Catalyst::Plugin::Authorization::Roles and am wondering if there is a better
approach to adding an attribute to a model that I'm not seeing.
Each user is permitted to access one or more companies, but there is
always one primary (current) company at a time. The permitted list is
stored in the database, and database access is primarily through DBIC.
My first inclination is to say that it's the user that has a current
company, and thus put it as part of the user model: give the user
package a "sub company { … }" to get/set the user's current company. The
database check is fairly easy; just use "$self->search_related" (a DBIC
method, inherited by the user model).
The problems I run in to are:
The current company needs to persist between requests, but I'd rather
not store it to the database (it should only persist for this
session). The natural place is the session…
There is a role, akin to Unix's root, that allows you to act as
any company, ignoring the list in the database. Checking this role
can be done through the database, but everywhere else in the app uses
$c->assert_user_role and friends.
I've heard its best to keep the models as Catalyst-independent as
possible. It also seems pretty weird to have a model manipulating
$c->session.
Of course, I could move those checks to the controllers, and have the
model accept whatever the controller sends, but that's violating DRY
pretty heavily, and just begging for a security issue if I forget one of
the checks somewhere.
Any suggestions? Or do I just shrug and go ahead and do it in the model?
Thanks, and apologies for the title, I couldn't come up with a good one.
The key is to create an instance of the model class for each request, and then pass in the parts of the request you need. In this case, you probably want to pass in a base resultset. Your model will make all the database calls via $self->resultset->..., and it will "just work" for the current user. (If the current user is root, then you just pass in $schema->resultset("Foo"). If the current user is someone else, then pass in $schema->resultset("Foo")->stuff_that_can_be_seen_by($c->user). Your model then no longer cares.)
I have some slides about this, but they are very outdated:
http://www.jrock.us/doqueue-grr/slide95c.html#end
(See the stuff immediately before and after, also.)
Note that restricted resultsets and web ACLs are orthogonal. You want to make the model as tight as possible (so that your app can't accidentally do something you don't want it to, even if the code says to), but various web-only details will still need to be encoded in ACLs. ("You are not allowed to view this page." is different from "You can only delete your own objects, not everyone's". The ACL handles the first case, the restricted resultset handles the second. Even if you write $rs->delete, since the resultset is restricted, you didn't delete everything in the database. You only deleted the things that you have permission to delete. Convenient!)
I am trying to write a Core Data application for the iPhone that uses an external data source. I'm not really using Core Data to persist my objects but rather for the object life-cycle management. I have a pretty good idea on how to use Core Data for local data, but have run into a few issues with remote data. I'll just use Flickr's API as an example.
The first thing is that if I need say, a list of the recent photos, I need to grab them from an external data source. After I've retrieved the list, it seems like I should iterate and create managed objects for each photo. At this point, I can continue in my code and use the standard Core Data API to set up a fetch request and retrieve a subset of photos about, say, dogs.
But what if I then want to continue and retrieve a list of the user's photos? Since there's a possibility that these two data sets might intersect, do I have to perform a fetch request on the existing data, update what's already there, and then insert the new objects?
--
In the older pattern, I would simply have separate data structures for each of these data sets and access them appropriately. A recentPhotos set and and a usersPhotos set. But since the general pattern of Core Data seems to be to use one managed object context, it seems (I could be wrong) that I have to merge my data with the main pool of data. But that seems like a lot of overhead just to grab a list of photos. Should I create a separate managed object context for the different set? Should Core Data even be used here?
I think that what I find appealing about Core Data is that before (for a web service) I would make a request for certain data and either filter it in the request or filter it in code and produce a list I would use. With Core Data, I can just get list of objects, add them to my pool (updating old objects as necessary), and then query against it. One problem, I can see with this approach, however, is that if objects are externally deleted, I can't know, since I'm keeping my old data.
Am I way off base here? Are there any patterns people follow for dealing with remote data and Core Data? :) I've found a few posts of people saying they've done it, and that it works for them, but little in the way of examples. Thanks.
You might try a combination of two things. This strategy will give you an interface where you get the results of a NSFetchRequest twice: Once synchronously, and once again when data has been loaded from the network.
Create your own subclass of
NSFetchRequest that takes an additional block property to
execute when the fetch is finished.
This is for your asynchronous
request to the network. Let's call
it FLRFetchRequest
Create a class to which you pass
this request. Let's call it
FLRPhotoManager. FLRPhotoManager has a method executeFetchRequest: which takes an
instance of the FLRFetchRequest and...
Queues your network request based on the fetch request and passes along the retained fetch request to be processed again when the network request is finished.
Executes the fetch request against your CoreData cache and immediately returns the results.
Now when the network request finishes, update your core data cache with the network data, run the fetch request again against the cache, and this time, pull the block from the FLRFetchRequest and pass the results of this fetch request into the block, completing the second phase.
This is the best pattern I have come up with, but like you, I'm interested in other's opinions.
It seems to me that your first instincts are right: you should use fetchrequests to update your existing store. The approach I used for an importer was the following: get a list of all the files that are eligible for importing and store it somewhere. I'm assuming here that getting that list is fast and lightweight (just a name and an url or unique id), but that really importing something will take a bit more time and effort and the user may quit the program or want to do something else before all the importing is done.
Then, on a separate background thread (this is not as hard as it sounds thanks to NSRunLoop and NSTimer, google on "Core Data: Efficiently Importing Data"), get the first item of that list, get the object from Flickr or wherever and search for it in the Core Data database (carefully read Apple's Predicate Programming Guide on setting up efficient, cached NSFetchRequests). If the remote object already lives in Core Data, update the information as necessary, if not insert. When that is done, remove the item from the to-be-imported list and move on to the next one.
As for the problem of objects that have been deleted in the remote store, there are two solutions: periodic syncing or lazy, on-demand syncing. Does importing a photo from Flickr mean importing the original thing and all its metadata (I don't know what the policy is regarding ownership etc) or do you just want to import a thumbnail and some info?
If you store everything locally, you could just run a check every few days or weeks to see if everything in your local store is present remotely as well: if not, the user may decide to keep the photo anyway or delete it.
If you only store thumbnails or previews, then you will need to connect to Flickr each time the user wants to see the full picture. If it has been deleted, you can then inform the user and delete it locally as well, or mark it as not being accessible any more.
For a situation like this you could use Cocoa's archiving facilities to save the photo objects (and an index) to disk between sessions, and just overwrite it all every time the app calls home to Flickr.
But since you're already using Core Data, and like the features it provides, why not modify your data model to include a "source" or "callType" attribute? At the moment you're implicitly creating a bunch of objects with source "Flickr API", but you can just as easily treat the different API calls as unique sources and then store that explicitly.
To handle deletion, the simplest way would be to clear the data store each time it's refreshed. Otherwise you'd need to iterate over everything and only delete the photo objects with filenames that weren't included in the new results.
I'm planning to do something similar to this myself so I hope this helps.
PS: If you're not storing the photo objects between sessions at all, you could just use two different contexts and query them separately. As long as they're never saved, and the central store doesn't have anything in it already, it would work just like you describe.