When you have to pass an object back and forth between processes or application domains you have to serialize it into some type of stream that can be understood by both the client and the server. The more complex and big the object gets the more expensive it is to serialize, both CPU wise and memory wise, and if the object is big and complex enough you can easily run into out of memory exceptions during the actual serialization process.

Throws the exception. An unhandled exception of type 'System.OutOfMemoryException' occurred in Newtonsoft.Json.dll. The DataSet consists of a collection of DataTable objects. Because a DataSet is a collection of objects, you can only deserialize a collection (array) into it. Microchip bootloader tutorial. I do binary serialize for dataset and still it doesn't make any senses. MaxRequestLength is set to around 100MB and maxItemsInObjectGraph is set to 10485760 and any other length are set to.

And that is exactly what happened to one of my customers. They had to pass very large datasets back and forth between the UI layer and the datalayer and these datasets could easily get up to a couple of hundred MB in size. When they passed the datasets back they would get OutOfMemory Exceptions in stacks like this one.

In other words they would get OOMs while serializing the dataset passing it back to the client. Ds.RemotingFormat = SerializationFormat.Binary; Then I re-ran the test and didn't get the OOM. Not only that, but when I ran it through the debugger with the same breakpoint. Instead of the 1 GB allocation, I ended up with 5 * 240 k allocations and one 225 k allocation used for the serialization (not counting any non-large objects). Memory wise, that is an improvement of 100 000% for one extra line in your code, that's a little bit hard to beat:) Have a good one, Tess Sample code used for this post Server.

When.net first came out, I was talking with a friend about the disconnected datasets, and he remarked that he 'suspected' that when there was a query that yielded a million records, that it would load them all to memory and kill the app, so he was nervous about using them. I told him that if you have a query that returns a million rows to a user, then you should probably re-think your app. If it is to display to a user, most users won’t look over more than the first few records, so you can add a top 100 to all your queries, and if it is a machine to machine transfer, then you should probably use a tool designed for that specifically. Indeed Tess, 100K% improvement is a nice record to set. I have seen some pretty dramatic performance improvements from small changes but this one gets the gold medal I guess.

And as you and other commenters have said already having datasets that big moving other the network is rather scary. Besides memory usage, think about LAN / WAN load with a couple dozens concurrent users. I guess unless you need to do SETI type processing on very large data collections, there is no case to make for such an architecture. Just out of curiosity, what was the customer’s reason for wanting to keep the huge datasets instead of breaking down their API to be less chunky? We recently ran across a Out of Memory Exception in our application.

We took dozens of dumps trying to nail this one down. When we contact Microsoft for support we were told we use a lot of strings and XML. This is no surprise as this was intended, however our Virtual Bytes were 1.0-1.5GB greater than our Private Bytes. As we looked closer at the dumps we noticed that the MpHeaps were consuming ~1.0GB – ~1.25GB of VB. Hmmm, we profiled SQL and noticed that a query returned 250 rows.

Nothing too damning yet until I looked at the size of the data being returned ~1.0-1.25GB. Now that can be an issue. As others have pointed out, a user isn’t going to look at all of that data. We fixed the sql query and now all is better. Does this apply to running a Stored Procedure on a SQL server as well? I have a query that is returning over 1 million records.

I know, I know, why on earth would you want over 1 million records. Our engineering dept is asking for data from the production line testers and we run 500K+ per day on them so to see a few days of data they get a ton of data. I have asked to not return all the data but they are demanding it. So does this setting affect the dataset used in a call to a Stored procedure on a SQL server? Hi, I m facing one Prob. Plz help me out.

Query: I m working on one application which is already developed. Child play torrent download. Application was storing the Image file in SQL Server DB.

My role is to provide one fuctionality that will download the image on client machine. When i m filling the dataset, Its become very bulcky n Memoryoverload exception is coming. If i am going every now & then on DB, Performance is not degrading. I also tried to take the data in chops & process but performance is not proper.