Contents tagged with .net
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Caching WCF javascript proxy on browser
When you use WCF services from Javascript, you have to generate the Javascript proxies by hitting the
Service.svc/js. If you have five WCF services, then it means five javascripts to download. As browsers download javascripts synchronously, one after another, it adds latency to page load and slows down page rendering performance. Moreover, the same WCF service proxy is downloaded from every page, because the generated javascript file is not cached on browser. Here is a solution that will ensure the generated Javascript proxies are cached on browser and when there is a hit on the service, it will respond with HTTP 304 if theService.svcfile has not changed. -
Memory Stream Multiplexer–write and read from many threads simultaneously
Here’s an implementation of
MemoryStreamlike buffer manager where one thread can write and many threads can read simultaneously. Each reading thread gets its own reader and can read from the shared stream on its own without blocking write operation or other parallel read operations. It supports blocking Read call so that reader threads can callRead(…)and wait until some data is available, exactly the same way you would expect aStreamto behave. You can use this to read content from network or file in one thread and then get it read by one or more threads simultaneously. Readers do not block writing. As a result, both read and write happens concurrently. Handy for building http proxy where you are downloading a certain file and you have multiple clients asking for the same file at the same time. You can download it in one thread and let one or more client threads read from the same buffer exactly at the same time. You can also use this to read same file on disk from multiple clients at the same time. You can also use this to implement a server side cache where the same buffer is read by multiple clients at the same time. -
ReadLine on Binary Stream
When you are reading data from a binary stream, like NetworkStream or FileStream and you need to read both binary chunks as well as read one text line at a time, you are on your own as BinaryReader nor Stream supports ReadLine. You can use StreamReader to do ReadLine, but it does not allow you to read chunks of bytes. The Read(byte[], int, int) is not there on StreamReader.
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Tweaking WCF to build highly scalable async REST API
At 9 AM in the morning, during the peak traffic for your business, you get an emergency call that the website you built is no more. It’s not responding to any request. Some people can see some page after waiting for long time but most can’t. So, you think it must be some slow query or the database might need some tuning. You do the regular checks like looking at CPU and Disk on database server. You find nothing is wrong there. Then you suspect it must be webserver running slow. So, you check CPU and Disk on webservers. You find no problem there either. Both web servers and database servers have very low CPU and Disk usage. Then you suspect it must be the network. So, you try a large file copy from webserver to database server and vice versa. Nope, file copies perfectly fine, network has no problem. You also quickly check RAM usage on all servers but find RAM usage is perfectly fine. As the last resort, you run some diagnostics on Load Balancer, Firewall, and Switches but find everything to be in good shape. But your website is down. Looking at the performance counters on the webserver, you see a lot of requests getting queued, and there’s very high request execution time, and request wait time.
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Safely deploying changes to production servers
When you deploy incremental changes on a production server, which is running and live all the time, you some times see error messages like “Compiler Error Message: The Type ‘XXX’ exists in both…”. Sometimes you find Application_Start event not firing although you shipped a new class, dll or web.config. Sometimes you find static variables not getting initialized and so on. There are so many weird things happen on webservers when you incrementally deploy changes to the server and the server has been up and running for several weeks. So, I came up with a full proof house keeping steps that we always do whenever we deploy some incremental change to our websites. These steps ensure that the web sites are properly recycled , cached are cleared, all the data stored at Application level is initialized.
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Quick ways to boost performance and scalability of ASP.NET, WCF and Desktop Clients
There are some simple configuration changes that you can make on machine.config and IIS to give your web applications significant performance boost. These are simple harmless changes but makes a lot of difference in terms of scalability. By tweaking system.net changes, you can increase the number of parallel calls that can be made from the services hosted on your servers as well as on desktop computers and thus increase scalability. By changing WCF throttling config you can increase number of simultaneous calls WCF can accept and thus make most use of your hardware power. By changing ASP.NET process model, you can increase number of concurrent requests that can be served by your website. And finally by turning on IIS caching and dynamic compression, you can dramatically increase the page download speed on browsers and and overall responsiveness of your applications.
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Dynamically set WCF Endpoint in Silverlight
When you add a WCF service reference to a Silverlight Application, it generates the ServiceReference.ClientConfig file where the URL of the WCF endpoint is defined. When you add the WCF service reference on a development computer, the endpoint URL is on localhost. But when you deploy the Silverlight client and the WCF service on a production server, the endpoint URL no longer is on localhost instead on some domain. As a result, the Silverlight application fails to call the WCF services. You have to manually change the endpoint URL on the Silverlight config file to match the production URL before deploying live. Now if you are deploying the Silverlight application and the server side WCF service as a distributable application where customer install the service themselves on their own domain then you don’t know what will be the production URL. As a result, you can’t rely on the ServiceReference.ClientConfig. You have to dynamically find out on which domain the Silverlight application is running and what will be the endpoint URL of the WCF service. Here I will show you an approach to dynamically decide the endpoint URL.
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Ten Caching Mistakes that Break your App
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Building High Performance Queue in Database for storing Orders, Notifications, Tasks
We have Queues everywhere. There are queues for asynchronously sending notifications like email and SMS in most websites. E-Commerce sites have queues for storing orders, processing and dispatching them. Factory Assembly line automation systems have queues for running tasks in parallel, in a certain order. Queue is a widely used data structure that sometimes have to be created in a database instead of using specialized queue technologies like MSMQ. Running a high performance and highly scalable queue using database technologies is a big challenge and it’s hard to maintain when the queue starts to get millions of rows queued and dequeued per day. Let me show you some common design mistakes made in designing Queue-like tables and how to get maximum performance and scalability from a queue implemented using simple database features.
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Finally! Entity Framework working in fully disconnected N-tier web app
Entity Framework was supposed to solve the problem of Linq to SQL, which requires endless hacks to make it work in n-tier world. Not only did Entity Framework solve none of the L2S problems, but also it made it even more difficult to use and hack it for n-tier scenarios. It’s somehow half way between a fully disconnected ORM and a fully connected ORM like Linq to SQL. Some useful features of Linq to SQL are gone – like automatic deferred loading. If you try to do simple select with join, insert, update, delete in a disconnected architecture, you will realize not only you need to make fundamental changes from the top layer to the very bottom layer, but also endless hacks in basic CRUD operations. I will show you in this article how I have added custom CRUD functions on top of EF’s ObjectContext to make it finally work well in a fully disconnected N-tier web application (my open source Web 2.0 AJAX portal – Dropthings) and how I have produced a 100% unit testable fully n-tier compliant data access layerfollowing the repository pattern.