Critical_stop on Wed, 03 Sep 2014 11:41:53. Use the GetBuffer method of the MemoryStream to avoid copying the data to a new byte array before you compress it. The bytes are written using the MemoryStream's Length property due to the fact that the underlying byte array used by the MemoryStream may be larger than the amount of data it contains. Home > topics > c# / c sharp > questions > populating datatable - outofmemory exception + Ask a Question. Post your question and get tips & solutions from a community of 424,030 IT Pros & Developers. And this is where it runs out of memory. I keep getting OutOfMemory exceptions when my app starts to reach around 700MB memory.
- If you are using a large data table and you are getting out of memory issues, it may well be that the size of the JSON string is just too big for.NET - there is a limit of 2GB on any single object in.NET, and since JSON is a text-based serialization a large table could well exceed that even if the 'raw' data table is considerably less than that.
- Critical_stop on Wed, 03 Sep 2014 11:41:53. Use the GetBuffer method of the MemoryStream to avoid copying the data to a new byte array before you compress it. The bytes are written using the MemoryStream's Length property due to the fact that the underlying byte array used by the MemoryStream may be larger than the amount of data it contains.
- The dataset in question contains a binary field to store files uploaded by the user with a few other id and date fields. And out of memory exception.
- Can someone please suggest me an alternative to handle the out of memory exception keeping in mind my scenario. C# exception lucene dataset out-of-memory.
Active5 years, 10 months ago
I have millions of records in my database table which I am trying to store in a Data Set (I use Data set to create Lucene index.)
The problem is Data Set is not able to handle millions of records and it is giving me out of memory exception.
Can someone please suggest me an alternative to handle the out of memory exception keeping in mind my scenario.
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Thanks.
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1 Answer
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Active5 years, 9 months ago
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 here (last paragraph) 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. Aiag shipping label software free. 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?
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2 Answers
The link you provided in you question is from 2008.
There is some more new discussions:
and also from SO 2011.
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.
C# Serialize Dataset To Json
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).
C++ Out Of Memory Exception
from the accepted answer
Community♦
MikroDelMikroDel5,43866 gold badges3232 silver badges6666 bronze badges
As you discovered there is no built in way to serialize datasets as binary.
The only way to serialize your dataset as binary data is to implement your own formatter.
start here http://msdn.microsoft.com/en-us/magazine/cc163911.aspx
Mike BeelerMike Beelerstart here http://msdn.microsoft.com/en-us/magazine/cc163911.aspx
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