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Huge Memory Consumption When Executing Maps Present In Large Assemblies

  • 项目

Suppose your BizTalk Maps are present in assemblies that are large (let’s say that 5 mb and above can be considered as large). You might run into the situation where the memory consumption of the BizTalk Host Instances executing such maps (either within an Orchestration, or on a Receive Port) grows quite large. If you do, then we’d like you to let you know that we’ve recently released a hotfix for BizTalk 2006 R2 (and are in the process of releasing one for BizTalk 2006 shortly). Try it out (https://support.microsoft.com/kb/975118)

NOTE that this hotfix is meant to solve problems only where the large memory consumption is due to the execution of maps within large assemblies. If you face this situation even in your test environment, then one way you can determine whether this hotfix would help you or not, is to let your BizTalk Host Instance run until it has consumed a sufficient amount of memory, then take a dump / attach a debugger and view the managed objects in the heap. If you see a large number of byte arrays, which are rooted within “System.Security.Policy.Evidence” objects, then this hotfix might help.

Comments

  • Anonymous
    September 06, 2009
    Could you please add a link where download the hotfix for BTS 2006 R2?

  • Anonymous
    September 06, 2009
    This isn't yet available publicly. Your best bet for getting it at this time is to open a support case with Microsoft.

  • Anonymous
    September 06, 2009
    We had a problem with Biztalk application where the assembly became 8 MB and where referencing another bts-assembly  (size 5 MB). The host instance became non responsive as it consumed over 1 GB RAM.  The solution we came up with was to split the application into two separate host instances on the same machine, resulting in memory usage of about 500 MB on each instance. We do not experience the problem any more.

  • Anonymous
    November 23, 2009
    the solution we came up with was to split the application into two separate host instances on the same machine, resulting in memory usage of about ,for getting it at this time is to open a support case with Microsoft