omegabio

I've got a DataSet with about 250k Rows and 80 Columns causing StringBuilder to throw an OutOfMemoryException (@System.String.GetStringForStringBuilder(String value, Int32 startIndex, Int32 length, Int32 capacity)) when calling.GetXml() on my dataset. As I read this can be overcome by using binary representation instead of xml, which sounds logical. So I set the RemotingFormat-property on my dataset to binary but the issue still occurs. I had a closer look to the GetXml-implementation and there seems to be no distinction based on the RemotingFormat. Instead, I found out that GetXmlSchemaForRemoting considers RemotingFormat, but this method is internal so I can't call it from the outside. It is called by private SerializeDataSet which is called by public GetObjectData.

GetObjectData itself seems to be for custom serialization. How can I binary (de-)serialize my dataset? Or call at least GetXml without throwing exceptions?

Did I overlook any dataset property? The link you provided in you question is from 2008. There is some more new discussions: and also from.

Microsoft.NET Runtime Common Language Runtime - WorkStation. MsCoRWks.dll version 2.0.50727.983: 946927 FIX: An installation may fail with error 1935 when an.msi. Running into OutOfMemoryException when serializing List. //This is where I hit the OutOfMemoryException. Validating Email and Password Input Against a Dataset.

The last one is about problem with DataAdapter while reading 150K records, but the answer can be also interestin for you: The first thing that I'd check is how many columns you are returning, and what their data types are. And.you are either returning way more fields than you need, or perhaps that some of the fields are very large strings or binary data. Try cutting down the select statement to only return the fields that are absolutely needed for the display. If that doesn't work, you may need to move from a DataTable to a list of a custom data type (a class with the appropriate fields).

I'm really stumped on this one and would appreciate some pointers. I have an app that allows importing certain data in a dataset (at which point its all in memory) and then use BinaryFormatter to store the dataset and some more stuff in a binary file as my application's data file.

This all works fine with smaller files, but some of the datasets can be as large as 100 Meg when loaded in memory. The import operation works fine, but when I try to serialize my app's data in such a case using BinaryFormatter to FileStream, I get a OutOfMemoryException. I have about 512M RAM. Only once was I able to write it successfully without getting the OOM exception, and noticed that the peak memory usage for the process went up to over a gig. Computational Geometry For Design And Manufacture Pdf: Full Version Free Software Download more.

I have no idea why, and have tried a number of different things such as explicitly specifying the target stream as File in the context for the BinaryFormatter, but don't seem to be able to avoid the exception. Any thoughts on how I could handle this so that it can get written out and read back from the file? I do want to support 100M datasets in memory, so using SQL server, etc. Is not an option. This strictly has to be a file based dataset.