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By data consistency I suggest using massively normalization, constraints and triggers in SQL database. This may be very hard to maintain and many architects doesn't like that. I also design my database without duplicate any information. For performance issue some architects already ask me to repeat a column to avoid a join.
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That isn't data consistency. That's just fundamental design. Data consistency is a much broader area - it relates more to things such as transactional consistency or point-in-time consistency.
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I agree with you data consistency is not only my example. From Wikipedia "Data consistency summarizes the validity, accuracy, usability and integrity of related data between applications and across an IT enterprise".
In case of a SQL database data consistency may be assured by transaction, constraints and triggers. In fact I don't see other way to assure data consistency in a SQL database. Now adding trigger, constraints and complex transaction impact performance, security and maintainability.
modified 13-Mar-13 6:22am.
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The example you give here would normally come under transactional consistency - the ACID rules if you like. However, it doesn't take into account things like data replication strategies, load balancing and so on.
Take Code Project, for instance. I know that Chris and team have tuned the system as well as they can, but there are still delays with updates simply because of replication. You vote on a post and refresh the page - the vote doesn't appear to be there - but that's because you are now looking at a different server. All you can say is that the data will eventually be consistent.
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I understand you example. It's more about deployment or infrastructure architecture. Data may be inconsistent in time only. But the 4 arguments I described are still valid for deployment or infrastructure decisions.
In fact by data consistency I'm talking about avoiding to insert wrong data in the database. I don't trust my developers  . I need to protect my data but think about performance and maintainability. My database has been designed with redundancy. I already noticed my developer forget to update the redundant data when they modify the first one. I would like to force them to do it right but I can't create what I want for maintainability reasons.
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DranDane wrote: What, for you, are valid arguments to make a decision?
Since most of the time, maybe even all, the actual "arguments" are based on subjective opinions it doesn't matter much.
DranDane wrote: Personally I place "data consistency" in number one
I place the actual business needs as number one. Banks probably (hopefully) place security and consistency high. Where a mom and pop retail store probably places cost (which you didn't list) as the highest factor.
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You right. It to the business to choose what is the most important priority for him
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I've been looking at messaging systems like Apache's [Qpid] and [RabbitMQ], but I'm wondering what any of you folks are using for cross platform development messaging?
Do you build mobile code that calls existing/standard web services (SOAP/WCF) that can also be utilized by existing desktop applications, or is there another way?
What I'm trying to understand is the best way for a set of mobile applications and desktop applications to be able to communicate (in regards to shared services) to send/receive data across these disparate systems. We're typically building RESTful services, but allowing mobile to call existing services is our primary goal. Secondary is abstracting the messaging away from source specific knowledge, preferably with an established third party messaging engine.
Thanks.
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Mobiles are typically client applications and client applications might send messages but they don't typically receive them (for good reason.) A client app would send a message by calling a server. Because of that it means that mobiles have nothing to do with it.
Once you eliminate the mobile apps exactly what platforms are you left with?
dexterama wrote: Secondary is abstracting the messaging away from source specific knowledge,
preferably with an established third party messaging engine.
Messages are data so language is almost never an issue in terms of the message. Typical problems that show up with language is when someone attempts to insert a language data structure into a message stream and doesn't understand that it is being serialized.
Other than that your requirement really says nothing. It doesn't even suggest that you actually need a messaging system.
So you might want to work on some actual business requirements first and then try to find a technology that will meet the needs of those requirements. Be sure to also collect information about volume and expected realistic growth rates for that volume.
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Quote: Mobiles are typically client applications and client applications might send messages but they don't typically receive them (for good reason.) A client app would send a message by calling a server. Because of that it means that mobiles have nothing to do with it.
Messages = data, so yes, mobiles get message packets all the time. My mobile real estate app gets a packet of items it displays in a grid, as does Amazon, eBay, etc.
Think of how stupid the average person is, and realize half of them are stupider than that. - George Carlin
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dexterama wrote: Messages = data, so yes, mobiles get message packets all the time.
Initiated by a call on the client; the server does not initiate the message. It just "serves" the messages that the "client" requests.
Bastard Programmer from Hell 
If you can't read my code, try converting it here[^]
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dexterama wrote: Messages = data, so yes, mobiles get message packets all the time
A 'client-server' system in the modern world runs on TCP (over IP) at that means one side is ALWAYS the client and one side is the server. This is true regardless of how many API layers you stick on top of it.
In a message framework system, there are publishers and subscribers how that does not specify HOW the data moves. All it does is describe how the messages SEEM to move. Since it MUST use TCP that means that there will ALWAYS be a client and a server, still, in the message framework. And what that means is that typically a client app will act as a client (which shouldn't be surprising) and some other system will be the client.
However message frameworks can in fact be set up such that the client app is a server.
So with that background...it is seldom going to be a good idea for a mobile app to be a server. Nor for client apps of any sort to be a server.
Additionally just with any complex system it probably isn't a good idea to expose it directly to the internet. Which would be required if the mobile app was receiving pushes (which means it is acting as a server.)
Is that clearer now?
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Hi
I have 2 application servers running my web application.
Application has a feature which upload a file. Now file upload is on server file system
There are 2 ways of doing this one is either have a file server where all files are uploaded so that whenever application is accessed all files are visible.
Other is to sync between 2 servers for files uploaded either through service or manually [clicking a button]
I like file server but then it will involve extra cost of setting up server and permissions on the folder is there any other way we can achieve this?
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nitin_ion wrote: is there any other way we can achieve this?
You could set up a data partition on one of the both servers and set up a FTP service or whatever else you want there. In the end you'd have a file slave server which is uploading the data to the file master server. The file master server has access to the additional shared partition too and lays the files there down.
However - a dedicated file server would be the most secure way of doing this because one web server has access to the files even when the other web server is down, therefore I strongly recommend you to use a dedicated file server.
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i have a scenario as follow:
public class A : class B
{
public SomeMethodA()
{
//.... do some logics here
SomeMethodB();
}
private SomeMethodB()
{
//.... do some logics here
}
}
class B : class C
class X : class Y
{
public SomeMethodA()
{
//.... do some logics here
SomeMethodB();
}
private SomeMethodB()
{
//.... do some logics here
}
}
class Y : class Z
class A has the exact same method as class X does. Now the question is: How do I combine this method in centralised so that my code has DRY (don't repeat yourself) without modifying/touching class Y, Z and class B, C? Class B, C, Y, and Z are our legacy code and we are NOT trying to alter/modify these classes.
any thoughts?
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Aggregation.
Create a class D and put the two methods in. In the constructors of A and X, instantiate D; later on, forward the call to D.
Something like:
internal class D
{
public SomeMethodA()
{
SomeMethodB();
}
private SomeMethodB()
{
}
}
public class A : class B
{
protected D _D;
public A()
{
_D = new D();
}
public SomeMethodA()
{
_D.SomeMethodA();
}
}
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ron01234 wrote: any thoughts?
Refactoring is something that must be expected in software development.
Of course deferring it is an option but only at the expense of increasing complexity and likely more fragile code. Which I suspect your current path is going to start experiencing.
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I agree with jschell - unfortunately sometimes you just cannot have your cake and eat it, otherwise you can end up creating a spaghetti like mess of code(I know of this because that is how I learnt to code by creating a mess that I had to clean up).
The simple, and perhaps simplistic, answer is to create an abstract class and inherit from that overrriding those methods that are not the same across classes.
“That which can be asserted without evidence, can be dismissed without evidence.”
― Christopher Hitchens
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GuyThiebaut wrote: that is how I learnt to code by creating a mess that I had to clean up
Which is how I learned as well.
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I learnt to write spagetti code in a very ancient BASIC that didn't have any structured programming features.
There weren't any college courses on programming back then. They still get cancelled today due to lack of enrollment.
Q. Hey man! have you sorted out the finite soup machine?
A. Why yes, it's celery or tomato.
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<b>please I'm having a problem understanding how data is transferred from disk to memory is conducted under programmed I/O. Can anyone help explain to me with examples the steps involved in this type of data transfer. Thanks.</b>
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You need to by a book on hardware architecture. Alternatively try a Google search.
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Here is what is expected of enquirers:
1. TRY first what you want to do! You may find that it's not that hard.
2. Formulate what was done by you that looks like an issue/not working.
For now, start understanding the details from this ppt: I/O Programming[^]
More material: here[^]
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Hi,
Suppose any reference type is stored in some memory location and its data is continuously expanding for example appending string in loop in StringBuilder.
How memory manager manages the scenario when its object doesnt has contiguous memory available at that location.
It would be great if any one can explain it in detail.
Thanks,
Devesh
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