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This community covers the core Blue Prism RPA product.

  • 1.  Add To Queue fails - The request channel timed out while waiting for a reply

    Posted 15 days ago

    Hi,

    I have an item that contains a large xml file (70MB) and when I try to add it to the queue it gives the following error:

    "ERROR: Internal : The request channel timed out while waiting for a reply after 00:00:00. 
    Increase the timeout value passed to the call to Request or increase the SendTimeout value on the Binding. 
    The time allotted to this operation may have been a portion of a longer timeout."

    How exactly can I increase the timeout value? Add To Queue doesn't have much options except Batch Size, which doesn't help here as I'm only trying to add one item at a time. Also the work queue doesn't have any options like this. Is there a size limit for the queue item?

    I'm using Blue Prism Cloud v6.10.1 and the default Add To Queue action from Work Queues object.



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    Arto Lindqvist
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  • 2.  RE: Add To Queue fails - The request channel timed out while waiting for a reply
    Best Answer

    Posted 15 days ago

    I would rethink the design of your queue and hold the location of the file, rather than the file itself - 70MB is is a hell of a size for a queue item.

    I suspect the error message refers to networking/database timeout, rather than anything you can set from a VBO input parameter, so probably the vest course of action is to raise a ticket to get advice from the Support team.



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    John Carter
    Blue Prism
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    Original Message


  • 3.  RE: Add To Queue fails - The request channel timed out while waiting for a reply

    Posted 14 days ago

    Thanks John, that's exactly what I did and now it finally worked. Now the queue item contains only a link to the file.

    The next problem I faced was with the main process because it has to read that file and I got System.OutOfMemoryException error. This link helped with that: How can I avoid Out Of Memory issues? Basically I just got rid of all the extra collections and loops to ensure the largest chunk of data is not stored multiple times.



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    Arto Lindqvist
    ------------------------------

    Original Message


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