vscode-jupyter: New version of Jupyter notebook is extremely slow
Issue Type: Performance Issue
Recently I updated my jupyter notebook in vscode. I’'m glad that many jupyter features are supported in the nee version. However, I found that the execution of jupyter cells become extremely slow. I wrote some code to record the real execution time of my code. It turns out that the real execution time is not so long. But the time shown in the left-bottom cornor of jupyter cells are much longer than the real execution time. Sometime the reaction time is also exetremely slow, for example I pressed ‘Shift+Enter’ but it takes even one minute to start to execute the cell.
VS Code version: Code 1.59.0 (379476f0e13988d90fab105c5c19e7abc8b1dea8, 2021-08-04T23:13:12.822Z) OS version: Windows_NT x64 10.0.19043 Restricted Mode: No Remote OS version: Linux x64 4.4.0-19041-Microsoft
System Info
| Item | Value |
|---|---|
| CPUs | Intel® Core™ i5-6500 CPU @ 3.20GHz (4 x 3192) |
| GPU Status | 2d_canvas: enabled gpu_compositing: enabled multiple_raster_threads: enabled_on oop_rasterization: enabled opengl: enabled_on rasterization: enabled skia_renderer: enabled_on video_decode: enabled vulkan: disabled_off webgl: enabled webgl2: enabled |
| Load (avg) | undefined |
| Memory (System) | 63.89GB (52.36GB free) |
| Process Argv | –folder-uri=vscode-remote://wsl+Ubuntu/mnt/c/kfm/Computation --remote=wsl+Ubuntu --crash-reporter-id 608d2da6-c9b1-441b-a70e-018fd8f4ecf8 |
| Screen Reader | no |
| VM | 0% |
| Item | Value |
|---|---|
| Remote | WSL: Ubuntu |
| OS | Linux x64 4.4.0-19041-Microsoft |
| CPUs | Intel® Core™ i5-6500 CPU @ 3.20GHz (4 x 3192) |
| Memory (System) | 63.89GB (52.36GB free) |
| VM | 0% |
Process Info
CPU % Mem MB PID Process
0 111 4500 code main
0 100 4528 window (undefined)
0 86 5460 window (Issue Reporter)
0 27 6552 crashpad-handler
0 114 7628 window (undefined)
0 303 9812 gpu-process
0 90 11504 shared-process
0 66 10288 ptyHost
0 41 11572 utility
1 862 13980 window (● pprVO.ipynb - Computation [WSL: Ubuntu] - Visual Studio Code)
0 123 8300 extensionHost
0 65 8232 electron_node wslDaemon.js
0 8 1632 C:\WINDOWS\System32\wsl.exe -d Ubuntu sh -c '"$VSCODE_WSL_EXT_LOCATION/scripts/wslServer.sh" 379476f0e13988d90fab105c5c19e7abc8b1dea8 stable .vscode-server 0 '
0 12 5740 console-window-host (Windows internal process)
0 8 10688 C:\WINDOWS\system32\lxss\wslhost.exe {a54a2b26-e418-4524-99ca-55fd4d1733f8} 508 516 520
0 14 10432 console-window-host (Windows internal process)
Remote: WSL: Ubuntu
CPU % Mem MB PID Process
1 0 129 remote agent
0 0 140 ptyHost
0 0 197 /bin/bash
19 0 166 watcherService
23 0 185 extensionHost
0 0 339 /home/kfm/.vscode-server/bin/379476f0e13988d90fab105c5c19e7abc8b1dea8/node /home/kfm/.vscode-server/extensions/ms-python.vscode-pylance-2021.8.0/dist/server.bundle.js --cancellationReceive=file:d3dd6329a670fe53ae94e44c4b717a4a3d908af328 --node-ipc --clientProcessId=185
0 0 411 /home/kfm/Programs/anaconda3/bin/python -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v
0 0 412 /home/kfm/Programs/anaconda3/bin/python -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v
0 0 413 /home/kfm/Programs/anaconda3/bin/python -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v
0 0 424 /home/kfm/Programs/anaconda3/bin/python -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.kernel_launcher_daemon -v
0 0 426 electron_node oMNPM.js
0 0 819 /bin/sh -c /usr/bin/ps -ax -o pid=,ppid=,pcpu=,pmem=,command=
0 0 820 /usr/bin/ps -ax -o pid=,ppid=,pcpu=,pmem=,command=
Workspace Info
| Remote: WSL: Ubuntu| Folder (Computation): 10449 files| File types: 1(1819) xsf(788) log(481) psf(368) cube(365) nc(364)
| fdf(322) xml(276) ion(273) xyz(210)
| Conf files: settings.json(2);
Extensions (16)
| Extension | Author (truncated) | Version |
|---|---|---|
| remote-ssh | ms- | 0.65.7 |
| remote-ssh-edit | ms- | 0.65.7 |
| remote-wsl | ms- | 0.58.2 |
| material-icon-theme | PKi | 4.9.0 |
| ayu | tea | 0.20.1 |
| vscode-icons | vsc | 11.6.0 |
| json-parse-validator | Adr | 1.1.2 |
| vscode-ipython | Che | 0.6.2 |
| nbpreviewer | jit | 1.2.2 |
| linter-gfortran | krv | 2.3.0 |
| MagicPython | mag | 1.1.0 |
| python | ms- | 2021.8.1105858891 |
| vscode-pylance | ms- | 2021.8.0 |
| jupyter | ms- | 2021.8.1195043623 |
| cpptools | ms- | 1.5.1 |
| markdown-all-in-one | yzh | 3.4.0 |
(3 theme extensions excluded)
A/B Experiments
vsliv368:30146709
vsreu685:30147344
python383:30185418
vspyt653:30270858
pythonvspyt602:30300191
vspor879:30202332
vspor708:30202333
vspor363:30204092
pythonvspyt639:30300192
pythontb:30283811
pythonptprofiler:30281270
vsdfh931cf:30280410
vshan820:30294714
vstes263:30335439
pythondataviewer:30285071
pythonvsuse255:30340121
vscod805cf:30301675
pythonvspyt200:30340761
vscextlang:30333561
binariesv615:30325510
pythonvssor306:30344512
bridge0708:30335490
vstre464cf:30350173
About this issue
- Original URL
- State: closed
- Created 3 years ago
- Reactions: 16
- Comments: 44 (21 by maintainers)
Not really. Actually the case is the opposite. The first time I run “1+1” was very fast. The second time it took 30 seconds.
I also have the same issue, anyone knows how to fix this?
My jupyter is fine when running the first time. But after running several cells, it gets extremely slow. When I press “run”, it didn’t start to run until 10 or 20 seconds later. I also couldn’t interrupt the kernel, since interrupt/restart also gets very slow.
Another situation I noticed is that, if in my code cell, I accidentally write some typo, e.g., I used a variable/function that was never defined before, it gets extremely slow, and after a long time it will tell me that this variable/function is not defined; or I accidentally missed a “:” in the while loop, it will also take a long time to find this typo.
OS: Ubuntu 20.04.3 LTS (Focal Fossa) Python: 3.8.12 Python Extension: v2021.11.1422169775 Jupyter Extension: v2021.10.1001414422 VS code: 1.62.1
@DonJayamanne