large .cdb file will not read in to pyprimemesh

🔍 Before submitting the issue

• I have searched among the existing issues
• I am using a Python virtual environment

🐞 Description of the bug

Try to import large .cdb

import ansys.meshing.prime as prime
from ansys.meshing.prime.graphics.plotter import PrimePlotter

cdb_path = r'ReallyBigFile.cdb'

prime_client = prime.launch_prime()
model = prime_client.model
mesh_util = prime.lucid.Mesh(model=model)
mesh = mesh_util.read(cdb_path)
print(model)

📝 Steps to reproduce

The file I tried to import is 5e6 elements/1.8GB. The same script works for a smaller .cdb 6.4MB). So the scripting isn't wrong. The .cdb can be opened in APDL and it appears not to be corrupt.

💻 Which operating system are you using?

Windows

📀 Which ANSYS version are you using?

the cdb was created in ansys v242

🐍 Which Python version are you using?

3.13

📦 Installed packages

aiohappyeyeballs==2.6.1
aiohttp==3.12.15
aiosignal==1.4.0
alabaster==1.0.0
ansys-api-dbu==0.3.22
ansys-api-geometry==0.4.65
ansys-api-mapdl==0.5.2
ansys-api-meshing-prime==0.1.4
ansys-api-platform-instancemanagement==1.1.3
ansys-geometry-core==0.11.0
ansys-mapdl-core==0.70.2
ansys-mapdl-reader==0.55.1
ansys-math-core==0.2.4
ansys-meshing-prime==0.9.1
ansys-platform-instancemanagement==1.1.2
ansys-tools-path==0.7.3
ansys-tools-visualization-interface==0.11.0
anyio==4.10.0
appdirs==1.4.4
argon2-cffi==25.1.0
argon2-cffi-bindings==25.1.0
arrow==1.3.0
astroid==3.3.11
asttokens==3.0.0
async-lru==2.0.5
asyncssh==2.21.0
atomicwrites==1.4.1
attrs==25.3.0
autopep8==2.0.4
babel==2.17.0
bcrypt==4.3.0
beartype==0.21.0
beautifulsoup4==4.13.4
binaryornot==0.4.4
black==25.1.0
bleach==6.2.0
certifi==2025.8.3
cffi==1.17.1
chardet==5.2.0
charset-normalizer==3.4.2
click==8.2.1
cloudpickle==3.1.1
colorama==0.4.6
comm==0.2.3
contourpy==1.3.3
cookiecutter==2.6.0
cryptography==45.0.6
cycler==0.12.1
debugpy==1.8.16
decorator==5.2.1
defusedxml==0.7.1
diff-match-patch==20241021
dill==0.4.0
docstring-to-markdown==0.17
docutils==0.21.2
easygui==0.98.3
executing==2.2.0
fastjsonschema==2.21.1
flake8==7.1.2
flexcache==0.3
flexparser==0.4
fonttools==4.59.0
fqdn==1.5.1
frozenlist==1.7.0
geomdl==5.4.0
grpcio==1.74.0
grpcio-health-checking==1.62.3
h11==0.16.0
httpcore==1.0.9
httpx==0.28.1
idna==3.10
imagesize==1.4.1
importlib_metadata==8.7.0
inflection==0.5.1
intervaltree==3.1.0
ipykernel==6.30.1
ipython==8.37.0
ipywidgets==8.1.7
isoduration==20.11.0
isort==6.0.1
jaraco.classes==3.4.0
jaraco.context==6.0.1
jaraco.functools==4.2.1
jedi==0.19.2
jellyfish==1.2.0
Jinja2==3.1.6
json5==0.12.0
jsonpointer==3.0.0
jsonschema==4.25.0
jsonschema-specifications==2025.4.1
jupyter-events==0.12.0
jupyter-lsp==2.2.6
jupyter_client==8.6.3
jupyter_core==5.8.1
jupyter_server==2.16.0
jupyter_server_proxy==4.4.0
jupyter_server_terminals==0.5.3
jupyterlab==4.4.5
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
jupyterlab_widgets==3.0.15
keyring==25.6.0
kiwisolver==1.4.8
lark==1.2.2
markdown-it-py==3.0.0
MarkupSafe==3.0.2
matplotlib==3.10.5
matplotlib-inline==0.1.7
mccabe==0.7.0
mdurl==0.1.2
mistune==3.1.3
more-itertools==10.7.0
msgpack==1.1.1
multidict==6.6.3
mypy_extensions==1.1.0
nbclient==0.10.2
nbconvert==7.16.6
nbformat==5.10.4
nest-asyncio==1.6.0
notebook_shim==0.2.4
numpy==2.2.6
numpydoc==1.9.0
overrides==7.7.0
packaging==25.0
pandocfilters==1.5.1
parso==0.8.4
pathspec==0.12.1
pexpect==4.9.0
pickleshare==0.7.5
pillow==11.3.0
Pint==0.24.4
platformdirs==4.3.8
pluggy==1.6.0
pooch==1.8.2
prometheus_client==0.22.1
prompt_toolkit==3.0.51
propcache==0.3.2
protobuf==4.25.8
psutil==7.0.0
ptyprocess==0.7.0
pure_eval==0.2.3
pyansys-tools-versioning==0.6.0
pycodestyle==2.12.1
pycparser==2.22
pydocstyle==6.3.0
pyflakes==3.2.0
PyGithub==2.7.0
Pygments==2.19.2
pyiges==0.3.2
PyJWT==2.10.1
pylint==3.3.7
pylint-venv==3.0.4
pyls-spyder==0.4.0
PyNaCl==1.5.0
pyparsing==3.2.3
PyQt5==5.15.11
PyQt5-Qt5==5.15.2
PyQt5_sip==12.17.0
PyQtWebEngine==5.15.7
PyQtWebEngine-Qt5==5.15.2
python-dateutil==2.9.0.post0
python-json-logger==3.3.0
python-lsp-black==2.0.0
python-lsp-jsonrpc==1.1.2
python-lsp-server==1.12.2
python-slugify==8.0.4
pytoolconfig==1.3.1
pyuca==1.2
pyvista==0.46.0
pywin32==311
pywin32-ctypes==0.2.3
pywinpty==2.0.15
PyYAML==6.0.2
pyzmq==27.0.1
QDarkStyle==3.2.3
qstylizer==0.2.4
QtAwesome==1.4.0
qtconsole==5.6.1
QtPy==2.4.3
referencing==0.36.2
requests==2.32.4
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rfc3987-syntax==1.1.0
rich==14.1.0
roman-numerals-py==3.1.0
rope==1.14.0
rpds-py==0.27.0
rtree==1.4.0
scipy==1.16.1
scooby==0.10.1
semver==3.0.4
Send2Trash==1.8.3
setuptools==80.9.0
simpervisor==1.0.0
six==1.17.0
sniffio==1.3.1
snowballstemmer==3.0.1
sortedcontainers==2.4.0
soupsieve==2.7
Sphinx==8.2.3
sphinxcontrib-applehelp==2.0.0
sphinxcontrib-devhelp==2.0.0
sphinxcontrib-htmlhelp==2.1.0
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==2.0.0
sphinxcontrib-serializinghtml==2.0.0
spyder==6.0.7
spyder-kernels==3.0.5
stack-data==0.6.3
superqt==0.7.5
tabulate==0.9.0
terminado==0.18.1
text-unidecode==1.3
textdistance==4.6.3
three-merge==0.1.1
tinycss2==1.4.0
tomlkit==0.13.3
tornado==6.5.1
tqdm==4.67.1
traitlets==5.14.3
trame==3.11.0
trame-client==3.9.2
trame-common==1.0.1
trame-server==3.6.0
trame-vtk==2.9.1
trame-vuetify==3.0.2
types-python-dateutil==2.9.0.20250708
typing_extensions==4.14.1
ujson==5.10.0
uri-template==1.3.0
urllib3==2.5.0
vtk==9.5.0
watchdog==6.0.0
wcwidth==0.2.13
webcolors==24.11.1
webencodings==0.5.1
websocket-client==1.8.0
websockets==15.0.1
whatthepatch==1.0.7
widgetsnbextension==4.0.14
wslink==2.3.4
yapf==0.43.0
yarl==1.20.1
zipp==3.23.0

Start by reproducing the issue with the provided pyprimemesh script on Windows, comparing the 6.4 MB and 1.8 GB .cdb inputs. Trace the mesh_util.read(cdb_path) entry point and capture the failure behavior; done means the large file imports successfully or the supported size limitation is clearly identified.