[Paraview] Problem with saving data along stream trace in parallel
Ben Colcord
ben.colcord at gmail.com
Mon Dec 2 22:19:30 EST 2013
Maybe I misunderstand, but if the problem was because of point data arrays
being different on different blocks, wouldn't the same errors occur in
serial? I only get problems running in parallel.
On Mon, Dec 2, 2013 at 8:20 PM, Andy Bauer <andy.bauer at kitware.com> wrote:
> The point data arrays are probably ordered differently on separate blocks
> or there are different point data arrays on different blocks. My suggestion
> is to use a python programmable filter to remove the unneeded arrays or to
> reorder them.
>
> Andy
>
> On Monday, December 2, 2013, Ben Colcord wrote:
>
>> Hello,
>>
>> I'm trying to extract data along a streamline. I have a script that works
>> fine in serial, but gives errors in parallel. I get the same errors if I
>> use the GUI or if I run the script with pvbatch, so I don't think it's a
>> problem with the script. The errors I get are:
>>
>> ERROR: In /nv/hp25/bcolcord3/ParaView/VTK/Common/Core/vtkDataArray.cxx,
>> line 474
>> vtkDoubleArray (0xd4058a00): The number of components do not match the
>> number requested: 3 != 1
>>
>> Warning: In
>> /nv/hp25/bcolcord3/ParaView/VTK/Common/DataModel/vtkTable.cxx, line 421
>> vtkTable (0xd4634a60): Cannot assign this variant type to multi-component
>> data array.
>>
>> These errors occur when I do "writer.UpdatePipeline()" in the script, or
>> "Save Data" in the GUI. Output is still produced, but the attached images
>> show the problem. The streamline co-ordinates are OK, but the density along
>> the streamline is not.
>>
>> I'm using ParaView 4.01, commit 8bab4fd99bda5b0b8748. My dataset is
>> Multi-block, and I apply the following filters before attempting writing:
>>
>> CellDatatoPointData
>> ProgrammableFilter (to remove ghost layers)
>> Calculator (to create velocity vector from components)
>> StreamTracer
>>
>> As you can see, it's a very simple task, but I can't get it to work in
>> parallel. Any help would be greatly appreciated.
>>
>> Thank you.
>>
>
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