I've opened a pull request which I believe should fix this issue:

https://github.com/yt-project/yt/pull/1980

You can test it out locally with the following incantations in the yt git repo:

$ git fetch https://github.com/ngoldbaum/yt proj-no-kdtree:proj-no-kdtree
$ git checkout proj-no-kdtree
$ pip install -e .

-Nathan

On Sat, Aug 18, 2018 at 1:00 PM Jared Coughlin <Jared.W.Coughlin.29@nd.edu> wrote:
Hi Nathan and Ashley,

Thank you for your help! The sph-viz branch has been really great so far for my smaller simulations. I've attached the job output file. The point where it says killed is when the memory spike occurred and the job was auto-killed by the system.

-Jared

On Sat, Aug 18, 2018 at 11:41 AM Nathan Goldbaum <nathan12343@gmail.com> wrote:
Apologies, I had it backwards, GadgetDataset is for Gadget binary outputs.

Jared this is a separate point, but for a while now it's been possible to load Gadget binary outputs using yt.load(), there's no need anymore to explicitly use GadgetDataset.

On Sat, Aug 18, 2018 at 2:56 PM Nathan Goldbaum <nathan12343@gmail.com> wrote:
Hi Ash,

I think any Gadget HDF5 dataset would work.

Nathan

On Sat, Aug 18, 2018 at 8:33 AM Ashley Kelly <a.j.kelly@durham.ac.uk> wrote:
Hi Jared,

I've been working on the sph-viz branch a lot at the moment. It's exciting to see the branch being used so much already!

I have opened an issue on github for this bug: https://github.com/yt-project/yt/issues/1973

Unfortunately the KDTree and a few features that rely on it can use a lot of memory at the moment. However, in your case, you shouldn't require the KDTree, as Nathan said. I am trying to address your issue but i don't seem to have dataset to hand which works with yt.GadgetDataset, would you be able to show me what yt prints out when you run your failing script?

Ash
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