I am currently evaluating your silverlight reports viewer - I am using this in its native mode i.e. no server. Data will be supplied at runtime.
I have modified the sample in your install to render lots of data.
The viewer took approx 250 seconds to display 750,000 rows of data.
I get a 'System.OutOfMemoryException' exception when trying to use 800,000 rows of data.
This exception is raised when calling method 'report.Render()'.
Is there a workaround for this or do you have any plans to address this in the future?
Thanks.
OutOfMemoryException raised when rendering large amounts of data
OutOfMemoryException raised when rendering large amounts of data
Hello,
It is not possible to optimize it in silverlight, especially when it comes to large amount of data and lack of memory.
Please send us a working example of your Application with the data on which the problem is reproduce. We will check this. Perhaps we can find some solution.
Thank you.
It is not possible to optimize it in silverlight, especially when it comes to large amount of data and lack of memory.
Please send us a working example of your Application with the data on which the problem is reproduce. We will check this. Perhaps we can find some solution.
Thank you.
OutOfMemoryException raised when rendering large amounts of data
I have attached a modified version of your silverlight sample project that can be used to test the outOfMemory exception.
Instructions:
1. Run the attached project.
2. Within the running application, select the Reports>Simple List link.
After 5 mins or so I get the exception. If it works for you, simply change the for loop in method "Data()" to increase the amount of test data.
Instructions:
1. Run the attached project.
2. Within the running application, select the Reports>Simple List link.
After 5 mins or so I get the exception. If it works for you, simply change the for loop in method "Data()" to increase the amount of test data.
- Attachments
-
- 1151.Demo.SL.zip
- (12.48 MiB) Downloaded 316 times
OutOfMemoryException raised when rendering large amounts of data
Hello,
Thank you for your example. On the current moment we have nothing now to optimize for a given sample. Please do not use such large amounts of data or simply split them.
Thank you.
Thank you for your example. On the current moment we have nothing now to optimize for a given sample. Please do not use such large amounts of data or simply split them.
Thank you.