Entity Framework With Sql Azure over net tcp slow performance - performance

Hy guys,
So i have a really big performance issue here. I have a WPF application which connects to a service which runs inside a Worker Role. The service uses net tcp binding with full duplex. The data access layer is all in a library which i am referencing in my service. So when my service want's to get data it uses the methods in that library. That library uses EF 4.1 which is mapped to an Sql Azure database.
The problem i am facing is that a query like getting a user from a database, takes somewhere above 4 seconds. I have also a http service(used by a Silverlight app) which uses the same dataaccess library, the same query over there takes 115ms, which is normal.
Is there a problem with the Entity Framework when i am using a net tcp service? I really don't know where the issue is, because over a http service all the queries behave normaly.

Is it possible you are using Lazy Loading instead of Eager loading with your entity? Lazy Loading over the Internet is much slower since it results in many more roundtrips to SQL Azure, which would be the bottle neck in this case. Eager Loading will simply get all of the data at once with a single round trip.
Reference: http://msdn.microsoft.com/en-us/library/bb896272.aspx

Related

Distributed caching with nhibernate orm

I am trying to implement caching in my application.
We are using Oracle database, asp.net web api to serve data to ui.
Api calls take more time, so we are thinking of implementing caching. Our code is deployed on 2 servers with load balancers.
How caching should be implemented.
What i am planning to implement is,
There should be a service API on any server, this api will store all data in memory. Ui will call our existing API, hit can go to any node, this api then will get data from new api(cache) and serve it to ui.
Is this architecture correct for distruted caching.
Can any one share their experience or guidance to implementation?
You might want to check NCache. Being a distributed caching solution, it provides first class support for sharing cache data between multiple clients due to the ache process running autonomously outside the address of any one application address space.
For your case, every web server in your load-balanced web farm will have be the client of NCache and have direct access to the cache servers. All the web servers,being clients to a central caching solution, will see the same cache data through simple-to-use NCache APIs. Any modification through insert, update or delete cache operations will be immediately observable to all the web servers.
The intelligence driving NCache allows for a seamless behind-the-scenes handling of all the tasks of storing and distributing the cache data among multiple cache server nodes on which the cache instance is distributed.
Furthermore, all the caching operations are completely independent of the framework used for database content retrieval and can be applied equally well with NHibernate, EF, EF Core and, of course, ADO.NET.
You can find more information about how to integrate NCache into your web farm environment and much more by using the following link:
http://www.alachisoft.com/resources/docs/ncache/admin-guide/ncache-architecture.html

Overall Performance improvement in WCF Restful API

We delivered a successful project a few days back and now we need to make some performance improvements in our WCF Restful API.
The projects is using the following tools/technologies
1- LINQ
2- Entity Framework
3- Enterprise library for Logging/Exception handling
4- MS SQL 2008
5- Deployed on IIS 7
A few things to note
1- 10-20 queries have more than 7 table joins in LINQ
2- The current IIS has more than 10 applications deployed
3- The entity framework has around 60 tables
4- The WCF api is using HTTPS
5- All the API call return JSON responses
The general flow is
1- WCF call is received
2- Session is checked
3- Function from BL layer is called
4- Function from DA layer is called
5- Response returned in JSON
Currently, as per my little knowledge and research I think that the
following might improve performance
1- Implement caching for reference data
2- Move LINQ queries with more than 3 joins to stored procedure (and use hints maybe?)
3- Database table re-indexing
4- Use performance counters to know the problem area's
5- Move functions with more than 3 update/delete/inserts to stored procedure
Can you point out some issue with the above improvements ? and what
other improvements can i do ?
Your post is missing some background on your improvement suggestions. Are they just guesses or have you actually measured and identified them as problem areas?
There really is no substitute for proper performance monitoring and profiling to determine which area you should focus on for optimizations. Everything else is just guesswork, and although some things might be obvious, it's often the not-so-obvious things that actually improve performance.
Run your code through a performance profiling tool to quickly identify problem areas inside the actual application. If you don't have access to the Visual Studio Performance Analyzer (Visual Studio Premium or Ultimate), take a look at PerfView which is a pretty good memory/CPU profiler that won't cost you anything.
Use a tool such as MiniProfiler to be able to easily set up measuring points, as well as monitoring the Entity Framework execution at runtime. MiniProfiler can also be configured to save the results to a database which is handy when you don't have a UI.
Analyzing the generated T-SQL statements from the Entity Framework, which can be seen in MiniProfiler, should allow you to easily measure the query performance by looking at the SQL execution plans as well as fetching the SQL IO statistics. That should give you a good overview of what can/should be put into stored procedures and if you need any other indexes.

Object persistence without ORM or DB Engine

I learned to love how LINQ enables set operations on collections. I'm not saying that I plan to shun traditional RDMBS, because I do need it for reporting. There are NoSQL alternatives out there, but they seem to all need to fire up a separate service.
What I looking for is something local where a DLL can create a database and perform CRUD on it. As mentioned, I'm not going to report out of this, just internal data store. The main application that will be using it is in C#.
I'm hoping that someone can give me a lead. If not, if there is anyone willing, we can start a open-source project for it. I'm not interested in commercial products.
Thanks,
You can run RavenDB in embedded mode inside your .NET application - no need for external services or anything.
And RavenDB supports Linq....

DataBase for Metro style apps in windows 8 Development?

Hi i am developing a metro style application where i will be connecting to web services and get the data from the web service and i will be binding it to the UI.
But my requirement is in my application i need to create tables and also provide relation between the tables and dump the data in to that local database and use that data in calling the other methods present in my service application (calling one more method in services by passing something as an input to that).
Can you please explain me the following :-
What is Database which is supported for metro style apps?
How can i create a database and create tables and dump the the data which i got as the response from my service application?
I am new to Metro style application development please help me out .
Thanks in Advance.
First of all WinRT has very poor db support. Most of this kind of things are done by web services, OData etc
BUT I`m almost 100% sure that you can use SQLite. On codeplex there are connectors from Win8 Metro app to SQLite DB so check this topic. I also saw somewhere on MS page that SQLite is support in some way. Check it
What Fixus said is correct. Personally , since my app doesnt have a large amount of data to store locally (it goes against the Metro guidelines to store large amounts of data) I serialize the objects instead to local storage. When needed, and if internet is available, the services will be called and the local data updated.
If you choose to use SQLlite make sure you use the real deal and not a third party db, as the DB library must be approved by Microsoft if you want to get the app accepted to the windows store. I'm not even sure that SQLite is yet approved, but by the looks of it they will be.
Tim Heuer always writes great articles on the subject, this one might help you
Let me know if you need help with serializing in WinRT, if you need it.
Best of luck!
We recommend using SQLite database with LinqConnect - Devart's LINQ to SQL compatible solution which supports SQLite engine (provided by http://code.google.com/p/csharp-sqlite/). You can employ LINQ and ADO.NET interfaces with our product. Starting from the 4.0 version, LinqConnect supports Windows Metro applications: http://blogs.devart.com/dotconnect/linqconnect-for-metro-quick-start-guide.html.
If you're building some application that has to keep working without any network connection, and needs to synchronize at some point in time, it is necessary to keep a local database.
You can read the following article, which has some basic guidelines and samples.
http://blogs.msdn.com/b/win8devsupport/archive/2013/01/10/using-database-in-windows-store-apps-i.aspx

Is there a name for this architectural pattern?

Suppose you have a web site consisting of:
A web server serving your various users requests
A DB for persistence
A separate server asynchronously doing background stuff - preparing the data on the DB, updating it according to changes, etc. - regardless of what's going on in the main server.
You can easily translate this into another world and talk about threads for example - i.e. having one thread preparing the data asynchronously for a main thread which is running.
Is there a name for this pattern, if it is a pattern at all?
Are there any pros/cons for this method of processing data in terms of performance?
Let me just clarify that I'm asking specifically about the second web server doing background processing, and not the whole architecture.
Everything has patterns. If you've seen it more than twice, there's a pattern.
You've got three examples of Client-Server.
You've got Browser-Web Server.
You've got web server in the role of DB Client talking to DB Server.
You've got web server in the role of App server client talking to an App Server.
Sometimes folks like to call this N-Tier since there are at three tiers of Browser-Web Server-DB Server, plus an additional application server tier.
Some folks expand this into the Services Bus concept. Your web server uses DB server and application server.
The Asynchronous Back-End and Back-end Server are names I've heard to describe your application server architecture.
I don't have a pattern name for you (not to say there isn't one), but what you have here is an optimization to keep your main thread from responding slowly to requests. It doesn't have to calculate data, it just has to provide it.
This is similar to UI coding. You don't do any work on your UI thread, you just draw. Other threads should be responsible for figuring everything else out, so your UI is responsive.
I don't know if it's officially a pattern name but this looks almost like batch processing from the mainframe days.

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