PBSControllerLauncher: Unable to connect_client_sync()
還沒有人認領這個 Issue。
- 主要語言
- Jupyter Notebook
- 星號
- 2.6k
- 分支
- 1k
- PR 合併指標
- 30 天內沒有已合併 PR
描述
I have been using ipyparallel 6 for a while and would like to migrate to ipyparallel 7 mainly due to fact that the new Cluster API enables you to manage the entire process through a Jupyter Notebook. Unfortunatelly, I am having difficulties to connect a client to my cluster.
I have created a new IPython profile adding a custom ipcluster_config.py, which is a modified version of my existing/working config for ipp 6 (see below).
I can successfully start a cluster spawning two PBS jobs (controller and engine).
import ipyparallel as ipp
cluster=ipp.Cluster(
n=128,
controller_ip='*',
profile='pbs'
)
# Using existing profile dir: '/network/datamic/home/lukask/.aixvipmap/.ipython/profile_pbs'
await cluster.start_cluster()
# Job submitted with job id: '23777'
# Starting 4 engines with <class 'ipyparallel.cluster.launcher.PBSEngineSetLauncher'>
# Job submitted with job id: '23778'
# <Cluster(cluster_id='1635407068-xsc7', profile='pbs', controller=<running>, engine_sets=['1635407070'])>
But if I run the following line, the notebook will only show that the kernel is busy and it will never actually finish.
rc = cluster.connect_client_sync()
Am I using the API incorrectly? What might be the problem?
ipcluster_config.py
c.Cluster.engine_launcher_class = 'ipyparallel.cluster.launcher.PBSEngineSetLauncher'
c.Cluster.controller_launcher_class = 'ipyparallel.cluster.launcher.PBSControllerLauncher'
c.PBSControllerLauncher.batch_template = '''
#PBS -N ipcontroller
#PBS -j oe
#PBS -l walltime=01:00:00
#PBS -l nodes=1:ppn=1
cd $PBS_O_WORKDIR
conda activate ipp7
ipcontroller --profile-dir={profile_dir}
'''
c.PBSEngineSetLauncher.batch_template = '''
#PBS -N ipengine
#PBS -j oe
#PBS -l walltime=01:00:00
#PBS -l nodes={n//4}:ppn=4
cd $PBS_O_WORKDIR
conda activate ipp7
module load intel
mpiexec -n {n} ipengine --profile-dir={profile_dir}
'''
貢獻指南
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- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
研究方向
從 PBSControllerLauncher 和 Cluster.connect_client_sync() 路徑開始,使用 ipcluster_config.py 範本以及報告中的叢集啟動序列進行重現。檢查控制器工作輸出和連線等待行為;當同步呼叫為已啟動的 PBS 叢集返回一個可用的用戶端時,即表示完成。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- jupyter, python
- 領域
- devops, distributed-systems
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100