How to watch events on App Engine Datastore using Java? - java

I would like to know if is there someone that have done something similar or know if Google App Engines suports to listen events to the datastore.
Example: Let's say I need to be able to know if a specific product hasn't sell much as I was expecting and set somewhere to run an event when the quantity of the product gets less than x quantity per month.
Can we set a event listener on the datastore or the only way to accomplish is to set a task to run from time to time to check this out ?
Thanks

check out [cloud 2 device messaging ]: http://code.google.com/android/c2dm/
it's pretty tightly integrated with GAE if you're using that already.
unfortunately i can't help you much with setting it up since I'm still working on that myself..

I guess there is a better way to do this now using the Datastore Callbacks.
https://developers.google.com/appengine/docs/java/datastore/callbacks

yeah,of course,you can set a Log4j to log the operations.If you want to set a trigger on somewhere,you can use Cron or Spring quartz,that will solve your problem.You can use Cron to set a time,and Spring quartz to set a event.
you can find cron here,https://code.google.com/appengine/docs/java/config/cron.html
quartz here,http://static.springsource.org/spring/docs/3.0.x/spring-framework-reference/html/scheduling.html

You could implement this using the Prospective Search API. Every time an event occurs that you might want to listen on, send a document to the API, which will call any hooked events.
The example you describe, though, doesn't fit because it's more of a non-event - something that failed to happen. For something like that, you'd need to run a regular task using cron or the task queue, and check if the condition was satisfied in that time interval.

Related

Is it possible to control time in Siddhi Cep

In below example, time is cpu time. What I am struggling is when I run a time series for back test purpose, data would arrive in order but much faster and the subsequent logic basing on the timed window would not be correct
My question:
- Ideal solution for me is to change the Siddi time using timestamp of arriving time series event. Is that possible to do so?
- If not, what's suggestion to fix this issue.
from fooStream#window.timeBatch(10 sec)
select count() as count
insert into barStream;
You can use the externalTimeWindow[1] as previously mentioned. However, what you are looking for is playback [2].
In Siddhi, internally there are two TimestampGenerators. Namely EventTimeBasedMillisTimestampGenerator and SystemCurrentTimeMillisTimestampGenerator. By default SystemCurrentTimeMillisTimestampGenerator will be used with the Siddhi CEP engine. But, if you use playback annotation, it'll change to EventTimeBasedMillisTimestampGenerator. If you use this, Siddhi will use the timestamp of arriving time series event as the CEP engines time.
[1] https://wso2.github.io/siddhi/api/latest/#externaltime-window
[2] https://wso2.github.io/siddhi/documentation/siddhi-4.0/#appplayback
[3] https://github.com/wso2/siddhi/blob/master/modules/siddhi-core/src/test/java/org/wso2/siddhi/core/managment/PlaybackTestCase.java
perhaps you can use the externalTime windows functionality of Siddhi for this.
see documenation
https://wso2.github.io/siddhi/api/latest/#externaltime-window
You can use siddhi externalTimeWindow[1] for your requirement.
For extenrnalTimewindow, you can provide your own timestamp and the window time will be calculated from the timestamp you have provided.
[1] https://wso2.github.io/siddhi/api/latest/#externaltime-window

Integration with Facebook Graph Api - update mechanism without Real-Time Updates

I'm working on a project which uses Facebook Graph Api to download information about users of our application and their Facebook friends. There is a need to update this data, but as I understand Real-Time Update is not an option. For example I would like to have update of profile feed of friends of our app user, and I don't see a way to do this with Real-Time Update.
Could someone give me some advice on this update mechanism? I need to update app users, their friend connections and profile feeds of users and their friends. I understand I'll have to poll Facebook servers to retrieve this data. What I'm trying to find out is some good practices when doing these things. Update frequency? Way to recognize that data has changed? If anyone has experience with this kind of things every advice would mean a lot.
Thanks.
You can use the since= query string parameter of the Graph API call. Here's some pseudocode to help you along
var usersLastPostDate = GetLastPostDateFromDataStore(userId);
if(usersLastPostDate not populated) {
streamItems = GraphApiGet(userId, "me/feed")
lastStreamItemDate = GetNewestStreamItemDate(streamItems)
StoreLastPostDateIntoDataStore(userId, lastStreamItemDate )
}
else {
streamItems = GraphApiGet(userId, "me/feed?since=" + usersLastPostDate )
}
Not massively useful for your use case (as you're wanting to get data which changes frequently), but worth pointing out that the Graph API now supports ETags - https://developers.facebook.com/blog/post/627/.
ETags will tell you if the data has changed since the last time you requested it. This won't stop you from hitting Facebooks API throttling limits, but is a quick and easy way to tell if the data has changed since you last asked for it.
There is no one answer to your question, as it depends on what your application is doing. How often do you need to get the updated information? If your data is stale for 5 minutes, is that really a problem? Can you grab the data from Facebook lazily, when some user action requires that you have it?
If you do need to do a lot of polling try and use non-blocking IO, especially if you're expecting to have a lot of open HTTP requests to Facebook whilst you're polling. Build a reliable queueing mechanism and HTTP poker to ensure requests are being made as expected. Without any idea of what technology stack you're using it's hard to be more specific than that.
HTH
What about this: Open Graph Subscription system ?

Database management in Java

I'm making a server with Java that will provide chat services for flash clients. The server will store data about each user on a .txt file somewhere on the server. For example when a user logs in, information about this user is requested to the DatabaseManger class. It will then search through the database and return the information. The point is that when allot of people log in a short amount of time the server is doing allot of checks again and again.
The idea that I want to implement is that a connection class does something like this:
String userData = DatabaseManager.getUserData(this.username);
The DatabaseManager then doesn't search immediately, it stores this request in an array of requests, then in a fixed interval it goes through the database 1 time and returns data to the clients that requested this. This way when 15 people log in in a second it wont go through all the information 15 times. How to implement this?
You use a real DBMS like everyone else on the planet. I'm eager to hear a reason why someone wouldn't choose a DB for this application. I can't think of anything that would prevent it. Back in the day, RDBMS were ungainly, expensive, complicated beasts. Today, they're as readily available as tabloids at the checkout counter.
There are few excuses to not to a DB nowadays, and arguably there are more excuses to use the DB than the file system for most any application.
As above I'd recommend using an existing database solution like HSQLDB, you'd be far better off in the long run doing things this way rather than hacking your own solution together.
If you really want to do this anyway, have a look at the ScheduledExecutorService. You can then fire off a request to the executor service with a delay, and in that delay listen for more data and add it to the query.

Wicket: how to handle long running tasks

I've setup a Wicket + Hibernate + Spring Web application that involves gathering some data (having some files generated and returned), storing this in a database, creating some images and displaying all this on a webpage.
This all works fine for short runs, but sometimes gathering the data (which involves some remote number crunching) takes too long (20+ minutes) and times out. I've tried to resolve this using two approaches, but both of them show some problems.
The first approach was using AjaxLazyLoadPanels and just doing everything within the getLazyLoadComponent. This worked fine for the short runs, but for the 20+ minute runs the LazyLoadComponents would not load (nice oxymoron there) due to timeouts.
The second approach involved creating an intermediate Fragment with an added AjaxSelfUpdatingTimerBehavior with a duration set to 10 seconds, that polled for the files that are created in the number crunching. This seems to make the tasks run in the background without problems, but fails when the returned data needs to be stored in the database. I'm using the Open Session in View pattern, but maybe this fails when attempting to store data after 20 minutes?? (Solution could lie in resolving this..).
Due to the above problems I'm now reading up on alternate approaches to handle these long running tasks and came across:
org.apache.wicket.util.time.Task
org.apache.wicket.util.watch.ModificationWatcher
I'm now wondering if either of these might be better suited to solve the time-out problems I'm having in both running the tasks and storing the data in the database afterwards, or if anyone has any other solutions that might help in this situation.
I'd really like to know if a new approach is viable before I spend another day implementing something that might turn out not to work after all.
Best regards,
Tim
I know we have had success in using a Panel with an attached AjaxSelfUpdatingTimerBehavior. The task and the results piece are separated from the view logic, but are made accessible for the view via a service you create. The service implementation we have used is then responsible for starting a TheadPool or ExectutorService for running the individual tasks. The service can provide a way to monitor the progress/status of the particular job/call that is taking place. Once it is complete it should also make the data available for the view. Injection of a SessionFactory into the service implementation (or injected DAO) should be sufficient to create the HibernateSession outside of a WebSession.

Java: Need efficient notifications between site users

I have a simple ajax game between 2 users with java backend (tomcat, spring). I need some good way of notifying one user that his opponent made a turn. Now all communication is done through database and waiting for opponent to finish his turn looks like this:
while(!timeout && !opponentIsDone) {
//...get the game record from db and check if opponent made turn
Thread.sleep(100);
}
Can I somehow get rid of this loop with sleep() and get instantly notified without a delay (but with timeout)? I can probably make some global static var and communicate through it, but I still will need similar loop only maybe timeout will be smaller.
I can't just call some method once the turn is done because it is all need to go to the browser through ajax and I can't push data there, only pull. So I need to have process that waits for the opponent.
I am looking for some light and simple solution.
Thanks.
You may want to look into Tomcat's advanced IO (Comet) support.
http://tomcat.apache.org/tomcat-6.0-doc/aio.html
I think you're looking for the Distributed Events (aka Subscriber/Publisher) pattern, and I believe Dojo Framework has implemented it:
http://ajaxpatterns.org/Distributed_Events
There are many ways to push notifications to a web client. Gmail's IM client is an excellent example of this sort of thing. This is often accomplished by holding an open HTTP connection in some manner, and this family of techniques is referred to as COMET. Wikipedia has an article on it, and there are blogs dedicated to the subject ( http://cometdaily.com/ ).
Even if you didn't use this technique, there are still many improvements you can make to the algorithm you identified in your question. One way would be to use a wait/notify sort of pattern or a subscriber/publisher approach. Another would be to return a "waiting for other player to make a turn" page immediately, and have that page automatically refresh every few seconds until the other player has taken his turn.
I think the solution you're looking for is COMET-style notification, though.
If you had a global static var of some sort, you could use a java.util.concurrent.BlockingQueue<T>
BlockingQueue<Turn> handoff = new ArrayBlockingQueue<Turn>(1);
// opponent thread
handoff.offer(myTurn);
// other thread can use
Turn otherTurn = handoff.poll( 90, TimeUnit.SECONDS );
if ( otherTurn == null )
// then no turn made
You can easily make the people wait for each other by using SynchronousQueue instead of ArrayBlockingQueue.
and of course it doesn't need to be global static -- it could be anything accessible to both users.
flex/flash has a real-time chatroom system (using remote-object programming).
you have to install BlazeDS (free) http://opensource.adobe.com/blazeds/, it comes with sample application. This is called AMF technology. I think Spring does support this AMF in one way or another.
http://www.adobe.com/devnet/livecycle/articles/blazeds_spring.html
http://blog.springsource.com/2008/12/17/using-spring-blazeds-integration-m1/
It's good for Flash based website. However, if you don't want to use flash, i think u can hide it or make it small enough, just to use it as a communication channel on your page.
Perhaps you have to find a way to notify your webpage/javascript after flash receive data from server.
Yeah, I know this method is a bit hacky, and it's not a clean way of doing thing :) just to provide an alternative for you.
DWR (Direct Web Remoting) is a package that allows you to make Java methods on the server directly available to Javascript (by creating a proxy). It has a feature called "Reverse Ajax" that is an easy way to handle push scenarios.
Perhaps consider Jetty Continuations if you aren't locked into Tomcat?
http://bill.burkecentral.com/2008/11/12/buggybroken-tomcat-6-comet-nio-apis/ has some discussion about Tomcat NIO

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