xarray: open_mfdataset() memory error in v0.10

Code Sample

import xarray

ncfiles = '/example/path/to/wrf/netcdfs/*'
dropvars = ['list', 'of', 'many', 'vars', 'to', 'drop']

dset = xarray.open_mfdataset(ncfiles, drop_variables=dropvars, concat_dim='Time',  
                                                autoclose=True, decode_cf=False)

Problem description

I am trying to load 73 model (WRF) output files using open_mfdataset(). (Thus, ‘Time’ is a new dimension). Each netcdf has dimensions {'x' : 405, 'y' : 282, 'z': 37} and roughly 20 variables (excluding the other ~20 in dropvars).

When I run the above code with v0.9.6, it completes in roughly 7 seconds. But with v0.10, it crashes with the following error:

*** Error in `~/anaconda3/bin/python': corrupted size vs. prev_size: 0x0000560e9b6ca7b0 ***

which, as I understand, means I’m exceeding my memory allocation. Any thoughts on what could be the source of this issue?

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.3.final.0 python-bits: 64 OS: Linux OS-release: 4.9.0-3-amd64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: C LANG: C LOCALE: None.None

xarray: 0.10.0 pandas: 0.20.3 numpy: 1.13.1 scipy: 0.19.1 netCDF4: 1.2.4 h5netcdf: 0.5.0 Nio: None bottleneck: 1.2.1 cyordereddict: None dask: 0.16.0 matplotlib: 2.0.2 cartopy: None seaborn: 0.8.0 setuptools: 27.2.0 pip: 9.0.1 conda: 4.3.29 pytest: 3.1.3 IPython: 6.1.0 sphinx: 1.6.2